Publications: Journal articles, conference papers and theses from department members

2024
1. Bernett J, Blumenthal DB, List M: Cracking the Black Box of Deep Sequence-based Protein–Protein Interaction Prediction. Briefings in Bioinformatics 2024, 25.
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@article{Bernett24, TITLE = {Cracking the Black Box of Deep Sequence-based Protein--Protein Interaction Prediction}, AUTHOR = {Bernett, Judith and Blumenthal, David B. and List, Markus}, LANGUAGE = {eng}, ISSN = {1467-5463}, DOI = {10.1093/bib/bbae076}, PUBLISHER = {H. Stewart Publications}, ADDRESS = {London}, YEAR = {2024}, MARGINALMARK = {$\bullet$}, DATE = {2024}, JOURNAL = {Briefings in Bioinformatics}, VOLUME = {25}, NUMBER = {2}, EID = {bbae076}, }
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%0 Journal Article %A Bernett, Judith %A Blumenthal, David B. %A List, Markus %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Cracking the Black Box of Deep Sequence-based Protein–Protein Interaction Prediction : %G eng %U http://hdl.handle.net/21.11116/0000-000F-BA97-5 %R 10.1093/bib/bbae076 %7 2024 %D 2024 %J Briefings in Bioinformatics %V 25 %N 2 %Z sequence number: bbae076 %I H. Stewart Publications %C London %@ false
2. Teodoro GD, Pirkl M, Incardona F, Vicenti I, Sönnerborg A, Kaiser R, Palagi L, Zazzi M, Lengauer T: Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy’s outcome for {HIV}-1. Bioinformatics 2024, 40.
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@article{Teodoro24, TITLE = {Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy{\textquoteright}s outcome for {\textbraceleft}{HIV}{\textbraceright}-1}, AUTHOR = {Teodoro, Giulia Di and Pirkl, Martin and Incardona, Francesca and Vicenti, Ilaria and S{\"o}nnerborg, Anders and Kaiser, Rolf and Palagi, Laura and Zazzi, Maurizio and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btae327}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2024}, MARGINALMARK = {$\bullet$}, DATE = {2024}, JOURNAL = {Bioinformatics}, VOLUME = {40}, NUMBER = {6}, PAGES = {1--10}, EID = {btae327}, }
Endnote
%0 Journal Article %A Teodoro, Giulia Di %A Pirkl, Martin %A Incardona, Francesca %A Vicenti, Ilaria %A Sönnerborg, Anders %A Kaiser, Rolf %A Palagi, Laura %A Zazzi, Maurizio %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy’s outcome for {HIV}-1 : %G eng %U http://hdl.handle.net/21.11116/0000-000F-9833-C %R 10.1093/bioinformatics/btae327 %2 PMC11153833 %7 2024 %D 2024 %J Bioinformatics %V 40 %N 6 %& 1 %P 1 - 10 %Z sequence number: btae327 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btae327
2023
3. Fischer J, Schulz MH: Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data. Bioinformatics 2023, 39.
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@article{Fischer23, TITLE = {Efficiently quantifying {DNA} methylation for bulk- and single-cell bisulfite data}, AUTHOR = {Fischer, Jonas and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btad386}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, JOURNAL = {Bioinformatics}, VOLUME = {39}, NUMBER = {6}, EID = {btad386}, }
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%0 Journal Article %A Fischer, Jonas %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data : %G eng %U http://hdl.handle.net/21.11116/0000-000D-6C74-8 %R 10.1093/bioinformatics/btad386 %2 PMC10310462 %7 2023 %D 2023 %J Bioinformatics %V 39 %N 6 %Z sequence number: btad386 %I Oxford University Press %C Oxford %@ false
4. Grau J, Schmidt F, Schulz MH: Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models. Nucleic Acids Research 2023, 51.
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@article{Grau23, TITLE = {Widespread effects of {DNA} methylation and intra-motif dependencies revealed by novel transcription factor binding models}, AUTHOR = {Grau, Jan and Schmidt, Florian and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkad693}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, JOURNAL = {Nucleic Acids Research}, VOLUME = {51}, NUMBER = {18}, EID = {e95}, }
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%0 Journal Article %A Grau, Jan %A Schmidt, Florian %A Schulz, Marcel Holger %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models : %G eng %U http://hdl.handle.net/21.11116/0000-000D-E9B5-0 %R 10.1093/nar/gkad693 %2 PMC10570048 %7 2023 %D 2023 %J Nucleic Acids Research %O Nucleic Acids Res %V 51 %N 18 %Z sequence number: e95 %I Oxford University Press %C Oxford %@ false
5. Hake A: Predicting and Analyzing HIV-1 Adaptation to Broadly Neutralizing Antibodies and the Host Immune System Using Machine Learning. Universität des Saarlandes; 2023.
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@phdthesis{Hake_PhD2023, TITLE = {Predicting and Analyzing {HIV}-1 Adaptation to Broadly Neutralizing Antibodies and the Host Immune System Using Machine Learning}, AUTHOR = {Hake, Anna}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-395323}, DOI = {10.22028/D291-39532}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, }
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%0 Thesis %A Hake, Anna %Y Pfeifer, Nico %A referee: Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting and Analyzing HIV-1 Adaptation to Broadly Neutralizing Antibodies and the Host Immune System Using Machine Learning : %G eng %U http://hdl.handle.net/21.11116/0000-000D-10E8-B %R 10.22028/D291-39532 %U urn:nbn:de:bsz:291--ds-395323 %F OTHER: hdl:20.500.11880/35743 %I Universität des Saarlandes %C Saarbrücken %D 2023 %P xv; 210 p %V phd %9 phd %U https://scidok.sulb.uni-saarland.de/handle/20.500.11880/35743
6. Hake A, Germann A, de Beer C, Thielen A, Däumer M, Preiser W, von Briesen H, Pfeifer N: Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models. PLOS Computational Biology 2023, 19.
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@article{hake23, TITLE = {Insights to {HIV}-1 coreceptor usage by estimating {HLA} adaptation with {B}ayesian generalized linear mixed models}, AUTHOR = {Hake, Anna and Germann, Anja and de Beer, Corena and Thielen, Alexander and D{\"a}umer, Martin and Preiser, Wolfgang and von Briesen, Hagen and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.1010355}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, DATE = {2023}, JOURNAL = {PLOS Computational Biology}, VOLUME = {19}, NUMBER = {12}, EID = {e1010355}, }
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%0 Journal Article %A Hake, Anna %A Germann, Anja %A de Beer, Corena %A Thielen, Alexander %A Däumer, Martin %A Preiser, Wolfgang %A von Briesen, Hagen %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models : %G eng %U http://hdl.handle.net/21.11116/0000-000E-5B0F-D %R 10.1371/journal.pcbi.1010355 %2 PMC10769057 %7 2023 %D 2023 %J PLOS Computational Biology %O PLOS Comput Biol %V 19 %N 12 %Z sequence number: e1010355 %I Public Library of Science %C San Francisco, CA %@ false
7. Maji RK, Czepukojc B, Scherer M, Tierling S, Cadenas C, Gianmoena K, Gasparoni N, Nordström K, Gasparoni G, Laggai S, Yang X, Sinha A, Ebert P, Falk-Paulsen M, Kinkley S, Hoppstädter J, Chung H-R, Rosenstiel P, Hengstler JG, Walter J, Schulz MH, Kessler SM, Kiemer AK: Alterations in the Hepatocyte Epigenetic Landscape in Steatosis. Epigenetics & Chromatin 2023, 16.
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@article{Maji23, TITLE = {Alterations in the Hepatocyte Epigenetic Landscape in Steatosis}, AUTHOR = {Maji, Ranjan Kumar and Czepukojc, Beate and Scherer, Michael and Tierling, Sascha and Cadenas, Cristina and Gianmoena, Kathrin and Gasparoni, Nina and Nordstr{\"o}m, Karl and Gasparoni, Gilles and Laggai, Stephan and Yang, Xinyi and Sinha, Anupam and Ebert, Peter and Falk-Paulsen, Maren and Kinkley, Sarah and Hoppst{\"a}dter, Jessica and Chung, Ho-Ryun and Rosenstiel, Philip and Hengstler, Jan G. and Walter, J{\"o}rn and Schulz, Marcel Holger and Kessler, Sonja M. and Kiemer, Alexandra K.}, LANGUAGE = {eng}, DOI = {10.1186/s13072-023-00504-8}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, JOURNAL = {Epigenetics \& Chromatin}, VOLUME = {16}, EID = {30}, }
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%0 Journal Article %A Maji, Ranjan Kumar %A Czepukojc, Beate %A Scherer, Michael %A Tierling, Sascha %A Cadenas, Cristina %A Gianmoena, Kathrin %A Gasparoni, Nina %A Nordström, Karl %A Gasparoni, Gilles %A Laggai, Stephan %A Yang, Xinyi %A Sinha, Anupam %A Ebert, Peter %A Falk-Paulsen, Maren %A Kinkley, Sarah %A Hoppstädter, Jessica %A Chung, Ho-Ryun %A Rosenstiel, Philip %A Hengstler, Jan G. %A Walter, Jörn %A Schulz, Marcel Holger %A Kessler, Sonja M. %A Kiemer, Alexandra K. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Alterations in the Hepatocyte Epigenetic Landscape in Steatosis : %G eng %U http://hdl.handle.net/21.11116/0000-000D-943A-B %R 10.1186/s13072-023-00504-8 %2 PMC10324225 %7 2023 %D 2023 %J Epigenetics & Chromatin %V 16 %Z sequence number: 30 %I BioMed Central %C London
8. Schommers P, Kim DS, Schlotz M, Kreer C, Eggeling R, Hake A, Stecher M, Park J, Radford CE, Dingens AS, Ercanoglu MS, Gruell H, Odidika S, Dahlhaus M, Gieselmann L, Ahmadov E, Lawong RY, Heger E, Knops E, Wyen C, Kümmerle T, Römer K, Scholten S, Wolf T, Stephan C, Suárez I, Raju N, Adhikari A, Esser S, Streeck H, et al.: Dynamics and Durability of HIV-1 Neutralization are Determined by Viral Replication. Nature Medicine 2023, 29.
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@article{Schommers2023, TITLE = {Dynamics and Durability of {HIV}-1 Neutralization are Determined by Viral Replication}, AUTHOR = {Schommers, Philipp and Kim, Dae Sung and Schlotz, Maike and Kreer, Christoph and Eggeling, Ralf and Hake, Anna and Stecher, Melanie and Park, Juyeon and Radford, Caelan E. and Dingens, Adam S. and Ercanoglu, Meryem S. and Gruell, Henning and Odidika, Stanley and Dahlhaus, Marten and Gieselmann, Lutz and Ahmadov, Elvin and Lawong, Rene Y. and Heger, Eva and Knops, Elena and Wyen, Christoph and K{\"u}mmerle, Tim and R{\"o}mer, Katja and Scholten, Stefan and Wolf, Timo and Stephan, Christoph and Su{\'a}rez, Isabelle and Raju, Nagarajan and Adhikari, Anurag and Esser, Stefan and Streeck, Hendrik and Duerr, Ralf and Nanfack, Aubin J. and Zolla-Pazner, Susan and Geldmacher, Christof and Geisenberger, Otto and Kroidl, Arne and William, Wiston and Maganga, Lucas and Ntinginya, Nyanda Elias and Georgiev, Ivelin S. and Vehreschild, J{\"o}rg J. and Hoelscher, Michael and F{\"a}tkenheuer, Gerd and Lavinder, Jason J. and Bloom, Jesse D. and Seaman, Michael S. and Lehmann, Clara and Pfeifer, Nico and Georgiou, George and Klein, Florian}, LANGUAGE = {eng}, ISSN = {1078-8956}, DOI = {10.1038/s41591-023-02582-3}, PUBLISHER = {Nature Pub. Co.}, ADDRESS = {New York, NY}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, DATE = {2023}, JOURNAL = {Nature Medicine}, VOLUME = {29}, NUMBER = {11}, PAGES = {2763--2774}, }
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%0 Journal Article %A Schommers, Philipp %A Kim, Dae Sung %A Schlotz, Maike %A Kreer, Christoph %A Eggeling, Ralf %A Hake, Anna %A Stecher, Melanie %A Park, Juyeon %A Radford, Caelan E. %A Dingens, Adam S. %A Ercanoglu, Meryem S. %A Gruell, Henning %A Odidika, Stanley %A Dahlhaus, Marten %A Gieselmann, Lutz %A Ahmadov, Elvin %A Lawong, Rene Y. %A Heger, Eva %A Knops, Elena %A Wyen, Christoph %A Kümmerle, Tim %A Römer, Katja %A Scholten, Stefan %A Wolf, Timo %A Stephan, Christoph %A Suárez, Isabelle %A Raju, Nagarajan %A Adhikari, Anurag %A Esser, Stefan %A Streeck, Hendrik %A Duerr, Ralf %A Nanfack, Aubin J. %A Zolla-Pazner, Susan %A Geldmacher, Christof %A Geisenberger, Otto %A Kroidl, Arne %A William, Wiston %A Maganga, Lucas %A Ntinginya, Nyanda Elias %A Georgiev, Ivelin S. %A Vehreschild, Jörg J. %A Hoelscher, Michael %A Fätkenheuer, Gerd %A Lavinder, Jason J. %A Bloom, Jesse D. %A Seaman, Michael S. %A Lehmann, Clara %A Pfeifer, Nico %A Georgiou, George %A Klein, Florian %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Dynamics and Durability of HIV-1 Neutralization are Determined by Viral Replication : %G eng %U http://hdl.handle.net/21.11116/0000-000E-03E7-A %R 10.1038/s41591-023-02582-3 %2 PMC10667105 %7 2023 %D 2023 %J Nature Medicine %O Nat. Med. %V 29 %N 11 %& 2763 %P 2763 - 2774 %I Nature Pub. Co. %C New York, NY %@ false
2022
9. Agkün M, Pfeifer N, Kohlbacher O: Efficient Privacy-preserving Whole-Genome Variant Queries. Bioinformatics 2022, 38.
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@article{Agkuen2022, TITLE = {Efficient Privacy-preserving Whole-Genome Variant Queries}, AUTHOR = {Agk{\"u}n, Mete and Pfeifer, Nico and Kohlbacher, Oliver}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btac070}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2022}, DATE = {2022}, JOURNAL = {Bioinformatics}, VOLUME = {38}, NUMBER = {8}, PAGES = {2202--2210}, EID = {btac070}, }
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%0 Journal Article %A Agkün, Mete %A Pfeifer, Nico %A Kohlbacher, Oliver %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Efficient Privacy-preserving Whole-Genome Variant Queries : %G eng %U http://hdl.handle.net/21.11116/0000-000A-170E-E %R 10.1093/bioinformatics/btac070 %7 2022 %D 2022 %J Bioinformatics %V 38 %N 8 %& 2202 %P 2202 - 2210 %Z sequence number: btac070 %I Oxford University Press %C Oxford %@ false
10. Arend L, Bernett J, Manz Q, Klug M, Lazareva O, Baumbach J, Bongiovanni D, List M: A Systematic Comparison of Novel and Existing Differential Analysis Methods for CyTOF Data. Briefings in Bioinformatics 2022, 23.
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@article{Arend2022, TITLE = {A Systematic Comparison of Novel and Existing Differential Analysis Methods for {CyTOF} Data}, AUTHOR = {Arend, Lis and Bernett, Judith and Manz, Quirin and Klug, Melissa and Lazareva, Olga and Baumbach, Jan and Bongiovanni, Dario and List, Markus}, LANGUAGE = {eng}, ISSN = {1467-5463}, DOI = {10.1093/bib/bbab471}, PUBLISHER = {H. Stewart Publications}, ADDRESS = {London}, YEAR = {2022}, JOURNAL = {Briefings in Bioinformatics}, VOLUME = {23}, NUMBER = {1}, EID = {bbab471}, }
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%0 Journal Article %A Arend, Lis %A Bernett, Judith %A Manz, Quirin %A Klug, Melissa %A Lazareva, Olga %A Baumbach, Jan %A Bongiovanni, Dario %A List, Markus %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Systematic Comparison of Novel and Existing Differential Analysis Methods for CyTOF Data : %G eng %U http://hdl.handle.net/21.11116/0000-000A-5D88-5 %R 10.1093/bib/bbab471 %7 2022 %D 2022 %J Briefings in Bioinformatics %V 23 %N 1 %Z sequence number: bbab471 %I H. Stewart Publications %C London %@ false
11. Gress A, Srikakulam SK, Keller S, Ramensky V, Kalinina OV: d-StructMAn: Containerized Structural Annotation on the Scale from Genetic Variants to whole Proteomes. GigaScience 2022, 11.
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@article{, TITLE = {d-{StructMAn}: {C}ontainerized structural annotation on the scale from genetic variants to whole proteomes}, AUTHOR = {Gress, Alexander and Srikakulam, Sanjay K. and Keller, Sebastian and Ramensky, Vasily and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {2047-217X}, DOI = {10.1093/gigascience/giac086}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2022}, JOURNAL = {GigaScience}, VOLUME = {11}, PAGES = {1--11}, EID = {giac086}, }
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%0 Journal Article %A Gress, Alexander %A Srikakulam, Sanjay K. %A Keller, Sebastian %A Ramensky, Vasily %A Kalinina, Olga V. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T d-StructMAn: Containerized Structural Annotation on the Scale from Genetic Variants to whole Proteomes : %G eng %U http://hdl.handle.net/21.11116/0000-000B-4789-B %R 10.1093/gigascience/giac086 %2 PMC9487898 %7 2022 %D 2022 %J GigaScience %V 11 %& 1 %P 1 - 11 %Z sequence number: giac086 %I Oxford University Press %C Oxford %@ false
12. Horemheb-Rubio G, Eggeling R, Schmeiβer N, Pfeifer N, Lengauer T, Gärtner BC, Prifert C, Kochanek M, Scheid C, Adams O, Kaiser R, Kaiser R, Gärtner B, Weissbrich B, Adams O, Berger A, Palupsky K, Huzly D, Tiemann C, Borena W, Lindauer A, Liebert UG, Siemens H-J, Hofmann J, Eis-Hübinger A-M, Grundmann H, Kehlen A, Oehme A, Schnitzler P, Kühn J, et al.: Respiratory Viruses Dynamics and Interactions: Ten Years of Surveillance in Central Europe. BMC Public Health 2022, 22.
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@article{Rubio22, TITLE = {Respiratory Viruses Dynamics and Interactions: {T}en Years of Surveillance in Central Europe}, AUTHOR = {Horemheb-Rubio, Gibran and Eggeling, Ralf and Schmei$\beta$er, Norbert and Pfeifer, Nico and Lengauer, Thomas and G{\"a}rtner, Barbara C. and Prifert, Christiane and Kochanek, Matthias and Scheid, Christoph and Adams, Ortwin and Kaiser, Rolf and Kaiser, Rolf and G{\"a}rtner, Barbara and Weissbrich, Benedikt and Adams, Ortwin and Berger, Annemarie and Palupsky, Katrin and Huzly, Daniela and Tiemann, Carsten and Borena, Wegene and Lindauer, Andreas and Liebert, Uwe Gerd and Siemens, Hans-Joachim and Hofmann, J{\"o}rg and Eis-H{\"u}binger, Anna-Maria and Grundmann, Hajo and Kehlen, Astrid and Oehme, Albrecht and Schnitzler, Paul and K{\"u}hn, Joachim and Heim, Albert and Sauerbrei, Andreas and Schmidt, Barbara and Beck, Robert and Hoffmann, Dieter and Michel, Detlef and Nitschko, Hans and Aepinus, Christian and Dreier, Jens and Puchhammer-Stoeckl, Elisabeth and Kaup, Theresa Popow and Redlberger, Monika and Kessler, Harald and Obermeier, Martin and Weise, Kerstin and Bartsch, Patricia and Devide, Annette and Niesters, Bert and Kleines, Michael and Krumbholz, Andi and Meyer, Thomas and Gohl, Peter and Sch{\"u}ttler, Christian G. and Gorgievski, Meri and Pagarolas, Andres Anton and Gulich, Wolfgang and Ziegler, Thomas and Wintsche, Babett and Griego, Marcena and Bossart, Walter and {Respiratory Virus Network}}, LANGUAGE = {eng}, ISSN = {1471-2458}, DOI = {10.1186/s12889-022-13555-5}, PUBLISHER = {BioMed Central}, ADDRESS = {London, United Kingdom}, YEAR = {2022}, JOURNAL = {BMC Public Health}, VOLUME = {22}, NUMBER = {1}, EID = {1167}, }
Endnote
%0 Journal Article %A Horemheb-Rubio, Gibran %A Eggeling, Ralf %A Schmeiβer, Norbert %A Pfeifer, Nico %A Lengauer, Thomas %A Gärtner, Barbara C. %A Prifert, Christiane %A Kochanek, Matthias %A Scheid, Christoph %A Adams, Ortwin %A Kaiser, Rolf %A Kaiser, Rolf %A Gärtner, Barbara %A Weissbrich, Benedikt %A Adams, Ortwin %A Berger, Annemarie %A Palupsky, Katrin %A Huzly, Daniela %A Tiemann, Carsten %A Borena, Wegene %A Lindauer, Andreas %A Liebert, Uwe Gerd %A Siemens, Hans-Joachim %A Hofmann, Jörg %A Eis-Hübinger, Anna-Maria %A Grundmann, Hajo %A Kehlen, Astrid %A Oehme, Albrecht %A Schnitzler, Paul %A Kühn, Joachim %A Heim, Albert %A Sauerbrei, Andreas %A Schmidt, Barbara %A Beck, Robert %A Hoffmann, Dieter %A Michel, Detlef %A Nitschko, Hans %A Aepinus, Christian %A Dreier, Jens %A Puchhammer-Stoeckl, Elisabeth %A Kaup, Theresa Popow %A Redlberger, Monika %A Kessler, Harald %A Obermeier, Martin %A Weise, Kerstin %A Bartsch, Patricia %A Devide, Annette %A Niesters, Bert %A Kleines, Michael %A Krumbholz, Andi %A Meyer, Thomas %A Gohl, Peter %A Schüttler, Christian G. %A Gorgievski, Meri %A Pagarolas, Andres Anton %A Gulich, Wolfgang %A Ziegler, Thomas %A Wintsche, Babett %A Griego, Marcena %A Bossart, Walter %A Respiratory Virus Network, %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Respiratory Viruses Dynamics and Interactions: Ten Years of Surveillance in Central Europe : %G eng %U http://hdl.handle.net/21.11116/0000-000A-CD01-E %R 10.1186/s12889-022-13555-5 %7 2022 %D 2022 %J BMC Public Health %V 22 %N 1 %Z sequence number: 1167 %I BioMed Central %C London, United Kingdom %@ false
13. Jeong H, Grimes K, Rauwolf KK, Bruch P-M, Rausch T, Hasenfeld P, Benito E, Roider T, Sabarinathan R, Porubsky D, Herbst SA, Erarslan-Uysal B, Jann J-C, Marschall T, Nowak D, Bourquin J-P, Kulozik AE, Dietrich S, Bornhauser B, Sanders AD, Korbel JO: Functional Analysis of Structural Variants in Single Cells using Strand-seq. Nature Biotechnology 2022.
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@article{Jeong22, TITLE = {Functional analysis of structural variants in single cells using {S}trand-seq}, AUTHOR = {Jeong, Hyobin and Grimes, Karen and Rauwolf, Kerstin K. and Bruch, Peter-Martin and Rausch, Tobias and Hasenfeld, Patrick and Benito, Eva and Roider, Tobias and Sabarinathan, Radhakrishnan and Porubsky, David and Herbst, Sophie A. and Erarslan-Uysal, Busra and Jann, Johann-Christoph and Marschall, Tobias and Nowak, Daniel and Bourquin, Jean-Pierre and Kulozik, Andreas E. and Dietrich, Sascha and Bornhauser, Beat and Sanders, Ashley D. and Korbel, Jan O.}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/s41587-022-01551-4}, PUBLISHER = {Nature}, ADDRESS = {New York, NY}, YEAR = {2022}, JOURNAL = {Nature Biotechnology}, }
Endnote
%0 Journal Article %A Jeong, Hyobin %A Grimes, Karen %A Rauwolf, Kerstin K. %A Bruch, Peter-Martin %A Rausch, Tobias %A Hasenfeld, Patrick %A Benito, Eva %A Roider, Tobias %A Sabarinathan, Radhakrishnan %A Porubsky, David %A Herbst, Sophie A. %A Erarslan-Uysal, Busra %A Jann, Johann-Christoph %A Marschall, Tobias %A Nowak, Daniel %A Bourquin, Jean-Pierre %A Kulozik, Andreas E. %A Dietrich, Sascha %A Bornhauser, Beat %A Sanders, Ashley D. %A Korbel, Jan O. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Functional Analysis of Structural Variants in Single Cells using Strand-seq : %G eng %U http://hdl.handle.net/21.11116/0000-000C-0012-F %R 10.1038/s41587-022-01551-4 %7 2022 %D 2022 %J Nature Biotechnology %O Nat. Biotechnol. %I Nature %C New York, NY %@ false
2021
14. Berzow D, Descamps D, Obermeier M, Charpentier C, Kaiser R, Guertler L, Eberle J, Wensing A, Sierra S, Ruelle J, Gomes P, Mansinho K, Taylor N, Jensen B, Döring M, Stürmer M, Rockstroh J, Camacho R: Human Immunodeficiency Virus-2 (HIV-2): A Summary of the Present Standard of Care and Treatment Options for Individuals Living with HIV-2 in Western Europe. Clinical Infectious Diseases 2021, 72.
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@article{Berzow2021, TITLE = {Human Immunodeficiency Virus-2 ({HIV-2}): A Summary of the Present Standard of Care and Treatment Options for Individuals Living with {HIV}-2 in {Western Europe}}, AUTHOR = {Berzow, Dirk and Descamps, Diane and Obermeier, Martin and Charpentier, Charlotte and Kaiser, Rolf and Guertler, Lutz and Eberle, Josef and Wensing, Annemarie and Sierra, Saleta and Ruelle, Jean and Gomes, Perpetua and Mansinho, Kamal and Taylor, Ninon and Jensen, Bj{\"o}rn and D{\"o}ring, Matthias and St{\"u}rmer, Martin and Rockstroh, J{\"u}rgen and Camacho, Ricardo}, LANGUAGE = {eng}, ISSN = {1058-4838}, DOI = {10.1093/cid/ciaa275}, PUBLISHER = {The University of Chicago Press}, ADDRESS = {Chicago, IL}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Clinical Infectious Diseases}, VOLUME = {72}, NUMBER = {3}, PAGES = {503--509}, }
Endnote
%0 Journal Article %A Berzow, Dirk %A Descamps, Diane %A Obermeier, Martin %A Charpentier, Charlotte %A Kaiser, Rolf %A Guertler, Lutz %A Eberle, Josef %A Wensing, Annemarie %A Sierra, Saleta %A Ruelle, Jean %A Gomes, Perpetua %A Mansinho, Kamal %A Taylor, Ninon %A Jensen, Björn %A Döring, Matthias %A Stürmer, Martin %A Rockstroh, Jürgen %A Camacho, Ricardo %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Human Immunodeficiency Virus-2 (HIV-2): A Summary of the Present Standard of Care and Treatment Options for Individuals Living with HIV-2 in Western Europe : %G eng %U http://hdl.handle.net/21.11116/0000-0008-8DEF-D %R 10.1093/cid/ciaa275 %7 2021 %D 2021 %J Clinical Infectious Diseases %V 72 %N 3 %& 503 %P 503 - 509 %I The University of Chicago Press %C Chicago, IL %@ false
15. Drews F, Karunanithi S, Gätz U, Marker S, deWijn R, Pirritano M, Rodrigues-Viana AM, Jung M, Gasparoni G, Schulz MH, Simon M: Two Piwis with Ago-like Functions Silence Somatic Genes at the Chromatin Level. RNA Biology 2021, 18.
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@article{Drews2021, TITLE = {Two {P}iwis with {A}go-like Functions Silence Somatic Genes at the Chromatin Level}, AUTHOR = {Drews, Franziska and Karunanithi, Sivarajan and G{\"a}tz, Ulrike and Marker, Simone and deWijn, Raphael and Pirritano, Marcello and Rodrigues-Viana, Angela M. and Jung, Martin and Gasparoni, Gilles and Schulz, Marcel Holger and Simon, Martin}, LANGUAGE = {eng}, ISSN = {1547-6286}, DOI = {10.1080/15476286.2021.1991114}, PUBLISHER = {Taylor \& Francis}, YEAR = {2021}, JOURNAL = {RNA Biology}, VOLUME = {18}, NUMBER = {sup2}, PAGES = {757--769}, }
Endnote
%0 Journal Article %A Drews, Franziska %A Karunanithi, Sivarajan %A Gätz, Ulrike %A Marker, Simone %A deWijn, Raphael %A Pirritano, Marcello %A Rodrigues-Viana, Angela M. %A Jung, Martin %A Gasparoni, Gilles %A Schulz, Marcel Holger %A Simon, Martin %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Two Piwis with Ago-like Functions Silence Somatic Genes at the Chromatin Level : %G eng %U http://hdl.handle.net/21.11116/0000-0009-70B4-D %R 10.1080/15476286.2021.1991114 %7 2021 %D 2021 %J RNA Biology %V 18 %N sup2 %& 757 %P 757 - 769 %I Taylor & Francis %@ false
16. Durai DA: Novel graph based algorithms fortranscriptome sequence analysis. Universität des Saarlandes; 2021.
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@phdthesis{Duraiphd2020, TITLE = {Novel graph based algorithms fortranscriptome sequence analysis}, AUTHOR = {Durai, Dilip Ariyur}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-341585}, DOI = {10.22028/D291-34158}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2021}, DATE = {2021}, }
Endnote
%0 Thesis %A Durai, Dilip Ariyur %Y Schulz, Marcel %A referee: Helms, Volker %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Novel graph based algorithms fortranscriptome sequence analysis : %G eng %U http://hdl.handle.net/21.11116/0000-0008-E4D6-5 %R 10.22028/D291-34158 %U urn:nbn:de:bsz:291--ds-341585 %F OTHER: hdl:20.500.11880/31478 %I Universität des Saarlandes %C Saarbrücken %D 2021 %P 143 p. %V phd %9 phd %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/31478
17. Ebert P, Schulz MH: Fast Detection of Differential Chromatin Domains with SCIDDO. Bioinformatics 2021, 37.
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@article{Ebert2021b, TITLE = {Fast detection of differential chromatin domains with {SCIDDO}}, AUTHOR = {Ebert, Peter and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btaa960}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Bioinformatics}, VOLUME = {37}, NUMBER = {9}, PAGES = {1198--1205}, }
Endnote
%0 Journal Article %A Ebert, Peter %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Fast Detection of Differential Chromatin Domains with SCIDDO : %G eng %U http://hdl.handle.net/21.11116/0000-0008-D98D-5 %R 10.1093/bioinformatics/btaa960 %2 PMC818969 %7 2021 %D 2021 %J Bioinformatics %V 37 %N 9 %& 1198 %P 1198 - 1205 %I Oxford University Press %C Oxford %@ false
18. Ebert P, Audano PA, Zhu Q, Rodriguez-Martin B, Porubsky D, Bonder MJ, Sulovari A, Ebler J, Zhou W, Serra Mari R, Yilmaz F, Zhao X, Hsieh P, Lee J, Kumar S, Lin J, Rausch T, Chen Y, Ren J, Santamarina M, Höps W, Ashraf H, Chuang NT, Yang X, Munson KM, Lewis AP, Fairley S, Tallon LJ, Clarke WE, Basile AO, et al.: Haplotype-resolved Diverse Human Genomes and Integrated Analysis of Structural Variation. Science 2021, 372.
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@article{Ebert2021, TITLE = {Haplotype-resolved Diverse Human Genomes and Integrated Analysis of Structural Variation}, AUTHOR = {Ebert, Peter and Audano, Peter A. and Zhu, Qihui and Rodriguez-Martin, Bernardo and Porubsky, David and Bonder, Marc Jan and Sulovari, Arvis and Ebler, Jana and Zhou, Weichen and Serra Mari, Rebecca and Yilmaz, Feyza and Zhao, Xuefang and Hsieh, PingHsun and Lee, Joyce and Kumar, Sushant and Lin, Jiadong and Rausch, Tobias and Chen, Yu and Ren, Jingwen and Santamarina, Martin and H{\"o}ps, Wolfram and Ashraf, Hufsah and Chuang, Nelson T. and Yang, Xiaofei and Munson, Katherine M. and Lewis, Alexandra P. and Fairley, Susan and Tallon, Luke J. and Clarke, Wayne E. and Basile, Anna O. and Byrska-Bishop, Marta and Corvelo, Andr{\'e} and Evani, Uday S. and Lu, Tsung-Yu and Chaisson, Mark J. P. and Chen, Junjie and Li, Chong and Brand, Harrison and Wenger, Aaron M. and Ghareghani, Maryam and Harvey, William T. and Raeder, Benjamin and Hasenfeld, Patrick and Regier, Allison A. and Abel, Haley J. and Hall, Ira M. and Flicek, Paul and Stegle, Oliver and Gerstein, Mark B. and Tubio, Jose M. C. and Mu, Zepeng and Li, Yang I. and Shi, Xinghua and Hastie, Alex R. and Ye, Kai and Chong, Zechen and Sanders, Ashley D. and Zody, Michael C. and Talkowski, Michael E. and Mills, Ryan E. and Devine, Scott E. and Lee, Charles and Korbel, Jan O. and Marschall, Tobias and Eichler, Evan E.}, LANGUAGE = {eng}, ISSN = {0036-8075}, DOI = {10.1126/science.abf7117}, PUBLISHER = {AAAS}, ADDRESS = {Washington, D.C.}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Science}, VOLUME = {372}, NUMBER = {6537}, EID = {eabf7117}, }
Endnote
%0 Journal Article %A Ebert, Peter %A Audano, Peter A. %A Zhu, Qihui %A Rodriguez-Martin, Bernardo %A Porubsky, David %A Bonder, Marc Jan %A Sulovari, Arvis %A Ebler, Jana %A Zhou, Weichen %A Serra Mari, Rebecca %A Yilmaz, Feyza %A Zhao, Xuefang %A Hsieh, PingHsun %A Lee, Joyce %A Kumar, Sushant %A Lin, Jiadong %A Rausch, Tobias %A Chen, Yu %A Ren, Jingwen %A Santamarina, Martin %A Höps, Wolfram %A Ashraf, Hufsah %A Chuang, Nelson T. %A Yang, Xiaofei %A Munson, Katherine M. %A Lewis, Alexandra P. %A Fairley, Susan %A Tallon, Luke J. %A Clarke, Wayne E. %A Basile, Anna O. %A Byrska-Bishop, Marta %A Corvelo, André %A Evani, Uday S. %A Lu, Tsung-Yu %A Chaisson, Mark J. P. %A Chen, Junjie %A Li, Chong %A Brand, Harrison %A Wenger, Aaron M. %A Ghareghani, Maryam %A Harvey, William T. %A Raeder, Benjamin %A Hasenfeld, Patrick %A Regier, Allison A. %A Abel, Haley J. %A Hall, Ira M. %A Flicek, Paul %A Stegle, Oliver %A Gerstein, Mark B. %A Tubio, Jose M. C. %A Mu, Zepeng %A Li, Yang I. %A Shi, Xinghua %A Hastie, Alex R. %A Ye, Kai %A Chong, Zechen %A Sanders, Ashley D. %A Zody, Michael C. %A Talkowski, Michael E. %A Mills, Ryan E. %A Devine, Scott E. %A Lee, Charles %A Korbel, Jan O. %A Marschall, Tobias %A Eichler, Evan E. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Haplotype-resolved Diverse Human Genomes and Integrated Analysis of Structural Variation : %G eng %U http://hdl.handle.net/21.11116/0000-0008-BFCA-E %R 10.1126/science.abf7117 %7 2021 %D 2021 %J Science %O Science %V 372 %N 6537 %Z sequence number: eabf7117 %I AAAS %C Washington, D.C. %@ false
19. Fischer J, Ardakani FB, Kattler K, Walter J, Schulz MH: CpG Content-dependent Associations between Transcription Factors and Histone Modifications. PLoS One 2021, 16.
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@article{fischer:21:cpgtfhm, TITLE = {{CpG} content-dependent associations between transcription factors and histone modifications}, AUTHOR = {Fischer, Jonas and Ardakani, Fatemeh Behjati and Kattler, Kathrin and Walter, J{\"o}rn and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0249985}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2021}, JOURNAL = {PLoS One}, VOLUME = {16}, NUMBER = {4}, EID = {0249985}, }
Endnote
%0 Journal Article %A Fischer, Jonas %A Ardakani, Fatemeh Behjati %A Kattler, Kathrin %A Walter, Jörn %A Schulz, Marcel Holger %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T CpG Content-dependent Associations between Transcription Factors and Histone Modifications : %G eng %U http://hdl.handle.net/21.11116/0000-0008-5602-5 %R 10.1371/journal.pone.0249985 %7 2021 %D 2021 %J PLoS One %V 16 %N 4 %Z sequence number: 0249985 %I Public Library of Science %C San Francisco, CA %@ false
20. Garg S, Fungtammasan A, Carroll A, Chou M, Schmitt A, Zhou X, Mac S, Peluso P, Hatas E, Ghurye J, Maguire J, Mahmoud M, Cheng H, Heller D, Zook JM, Moemke T, Marschall T, Sedlazeck FJ, Aach J, Chin C, Church GM, Li H: Chromosome-scale, Haplotype-resolved Assembly of Human Genomes. Nature Biotechnology 2021, 39.
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@article{Garg2020, TITLE = {Chromosome-scale, Haplotype-resolved Assembly of Human Genomes}, AUTHOR = {Garg, Shilpa and Fungtammasan, Arkarachai and Carroll, Andrew and Chou, Mike and Schmitt, Anthony and Zhou, Xiang and Mac, Stephen and Peluso, Paul and Hatas, Emily and Ghurye, Jay and Maguire, Jared and Mahmoud, Medhat and Cheng, Haoyu and Heller, David and Zook, Justin M. and Moemke, Tobias and Marschall, Tobias and Sedlazeck, Fritz J. and Aach, John and Chin, ChenShan and Church, George M. and Li, Heng}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/s41587-020-0711-0}, PUBLISHER = {Gale Group Inc.}, ADDRESS = {New York, NY}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Nature Biotechnology}, VOLUME = {39}, PAGES = {309--312}, }
Endnote
%0 Journal Article %A Garg, Shilpa %A Fungtammasan, Arkarachai %A Carroll, Andrew %A Chou, Mike %A Schmitt, Anthony %A Zhou, Xiang %A Mac, Stephen %A Peluso, Paul %A Hatas, Emily %A Ghurye, Jay %A Maguire, Jared %A Mahmoud, Medhat %A Cheng, Haoyu %A Heller, David %A Zook, Justin M. %A Moemke, Tobias %A Marschall, Tobias %A Sedlazeck, Fritz J. %A Aach, John %A Chin, ChenShan %A Church, George M. %A Li, Heng %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Chromosome-scale, Haplotype-resolved Assembly of Human Genomes : %G eng %U http://hdl.handle.net/21.11116/0000-0007-A6AD-B %R 10.1038/s41587-020-0711-0 %7 2020 %D 2021 %J Nature Biotechnology %O Nat. Biotechnol. %V 39 %& 309 %P 309 - 312 %I Gale Group Inc. %C New York, NY %@ false
21. Kitanovski S, Horemheb-Rubio G, Adams O, Gärtner B, Lengauer T, Hoffmann D, Kaiser R: Rhinovirus Prevalence as Indicator for Efficacy of Measures against SARS-CoV-2. BMC Public Health 2021, 21.
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@article{Kitaovski2021, TITLE = {Rhinovirus Prevalence as Indicator for Efficacy of Measures against {SARS}-{CoV}-2}, AUTHOR = {Kitanovski, Simo and Horemheb-Rubio, Gibran and Adams, Ortwin and G{\"a}rtner, Barbara and Lengauer, Thomas and Hoffmann, Daniel and Kaiser, Rolf and {Respiratory Virus Network}}, LANGUAGE = {eng}, ISSN = {1471-2458}, DOI = {10.1186/s12889-021-11178-w}, PUBLISHER = {BioMed Central}, ADDRESS = {London, United Kingdom}, YEAR = {2021}, JOURNAL = {BMC Public Health}, VOLUME = {21}, EID = {1178}, }
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%0 Journal Article %A Kitanovski, Simo %A Horemheb-Rubio, Gibran %A Adams, Ortwin %A Gärtner, Barbara %A Lengauer, Thomas %A Hoffmann, Daniel %A Kaiser, Rolf %A Respiratory Virus Network, %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Rhinovirus Prevalence as Indicator for Efficacy of Measures against SARS-CoV-2 : %G eng %U http://hdl.handle.net/21.11116/0000-0008-D984-E %R 10.1186/s12889-021-11178-w %2 PMC8215636 %7 2021 %D 2021 %J BMC Public Health %V 21 %Z sequence number: 1178 %I BioMed Central %C London, United Kingdom %@ false
22. Lazareva O, Baumbach J, List M, Blumenthal DB: On the Limits of Active Module Identification. Briefings in Bioinformatics 2021, 22.
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@article{10.1093/bib/bbab066, TITLE = {On the Limits of Active Module Identification}, AUTHOR = {Lazareva, Olga and Baumbach, Jan and List, Markus and Blumenthal, David B.}, LANGUAGE = {eng}, ISSN = {1467-5463}, PUBLISHER = {H. Stewart Publications}, ADDRESS = {London}, YEAR = {2021}, JOURNAL = {Briefings in Bioinformatics}, VOLUME = {22}, NUMBER = {5}, EID = {bbab066}, }
Endnote
%0 Journal Article %A Lazareva, Olga %A Baumbach, Jan %A List, Markus %A Blumenthal, David B. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T On the Limits of Active Module Identification : %G eng %U http://hdl.handle.net/21.11116/0000-0009-7E65-9 %7 2021 %D 2021 %J Briefings in Bioinformatics %V 22 %N 5 %Z sequence number: bbab066 %I H. Stewart Publications %C London %@ false
23. Llamas B, Narzisi G, Schneider V, Audano PA, Biederstedt E, Blauvelt L, Bradbury P, Chang X, Chin CS, Fungtammasan A, Clarke WE, Cleary A, Ebler J, Eizenga J, Sibbesen JA, Markello CJ, Garrison E, Garg S, Hickey G, Lazo GR, Lin MF, Mahmoud M, Marschall T, Minkin I, Monlong J, Musunuri RL, Sagayaradj S, Novak AM, Rautiainen M, Regier A, et al.: A Strategy for Building and Using a Human Reference Pangenome [Version 2; Peer Review: 2 approved]. F1000Research 2021, 8.
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@article{Llamas2021, TITLE = {A Strategy for Building and Using a Human Reference Pangenome [Version 2; Peer Review: 2 approved]}, AUTHOR = {Llamas, B. and Narzisi, G. and Schneider, V. and Audano, P. A. and Biederstedt, E. and Blauvelt, L. and Bradbury, P. and Chang, X. and Chin, C. S. and Fungtammasan, A. and Clarke, W. E. and Cleary, A. and Ebler, Jana and Eizenga, J. and Sibbesen, J. A. and Markello, C. J. and Garrison, E. and Garg, S. and Hickey, G. and Lazo, G. R. and Lin, M. F. and Mahmoud, M. and Marschall, T. and Minkin, I. and Monlong, J. and Musunuri, R. L. and Sagayaradj, S. and Novak, A. M. and Rautiainen, M. and Regier, A. and Sedlazeck, F. J. and Siren, J. and Souilmi, Y. and Wagner, J. and Wrightsman, T. and Yokoyama, T. T. and Zeng, Q. and Zook, J. M. and Paten, B. and Busby, B.}, LANGUAGE = {eng}, ISSN = {2046-1402}, DOI = {10.12688/f1000research.19630.2}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2021}, JOURNAL = {F1000Research}, VOLUME = {8}, EID = {1751}, }
Endnote
%0 Journal Article %A Llamas, B. %A Narzisi, G. %A Schneider, V. %A Audano, P. A. %A Biederstedt, E. %A Blauvelt, L. %A Bradbury, P. %A Chang, X. %A Chin, C. S. %A Fungtammasan, A. %A Clarke, W. E. %A Cleary, A. %A Ebler, Jana %A Eizenga, J. %A Sibbesen, J. A. %A Markello, C. J. %A Garrison, E. %A Garg, S. %A Hickey, G. %A Lazo, G. R. %A Lin, M. F. %A Mahmoud, M. %A Marschall, T. %A Minkin, I. %A Monlong, J. %A Musunuri, R. L. %A Sagayaradj, S. %A Novak, A. M. %A Rautiainen, M. %A Regier, A. %A Sedlazeck, F. J. %A Siren, J. %A Souilmi, Y. %A Wagner, J. %A Wrightsman, T. %A Yokoyama, T. T. %A Zeng, Q. %A Zook, J. M. %A Paten, B. %A Busby, B. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T A Strategy for Building and Using a Human Reference Pangenome [Version 2; Peer Review: 2 approved] : %G eng %U http://hdl.handle.net/21.11116/0000-0009-2A58-6 %R 10.12688/f1000research.19630.2 %7 2021 %D 2021 %J F1000Research %O F1000Research %V 8 %Z sequence number: 1751 %I BioMed Central %C London %@ false
24. Marty N, Saeng-Aroon S, Heger E, Thielen A, Obermeier M, Pfeifer N, Kaiser R, Klimkait T: Adapting the Geno2pheno[coreceptor] Tool to HIV-1 Subtype CRF01_AE by Phenotypic Validation Using Clinical Isolates from South-East Asia. Journal of Clinical Virology 2021, 136.
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@article{Marty_2021, TITLE = {Adapting the geno2pheno[coreceptor] tool to {HIV}-1 subtype {CRF01_AE} by phenotypic validation using clinical isolates from {South-East Asia}}, AUTHOR = {Marty, Nina and Saeng-Aroon, Siriphan and Heger, Eva and Thielen, Alexander and Obermeier, Martin and Pfeifer, Nico and Kaiser, Rolf and Klimkait, Thomas}, LANGUAGE = {eng}, ISSN = {1386-6532}, DOI = {10.1016/j.jcv.2021.104755}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Journal of Clinical Virology}, VOLUME = {136}, EID = {104755}, }
Endnote
%0 Journal Article %A Marty, Nina %A Saeng-Aroon, Siriphan %A Heger, Eva %A Thielen, Alexander %A Obermeier, Martin %A Pfeifer, Nico %A Kaiser, Rolf %A Klimkait, Thomas %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Adapting the Geno2pheno[coreceptor] Tool to HIV-1 Subtype CRF01_AE by Phenotypic Validation Using Clinical Isolates from South-East Asia : %G eng %U http://hdl.handle.net/21.11116/0000-0008-62DD-1 %R 10.1016/j.jcv.2021.104755 %7 2021 %D 2021 %J Journal of Clinical Virology %V 136 %Z sequence number: 104755 %I Elsevier %C Amsterdam %@ false
25. Matschinske J, Alcaraz N, Benis A, Golebiewski M, Grimm DG, Heumos L, Kacprowski T, Lazareva O, List M, Louadi Z, Pauling JK, Pfeifer N, Roettger R, Schwaemmle V, Sturm G, Traverso A, Van Steen K, de Freitas MV, Villalba Silva GC, Wee L, Wenke NK, Zanin M, Zolotareva O, Baumbach J, Blumenthal DB: The AIMe Registry for Artificial Intelligence in Biomedical Research. Nature Methods 2021, 18.
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@article{Matschinske2021, TITLE = {The {AIMe} Registry for Artificial Intelligence in Biomedical Research}, AUTHOR = {Matschinske, Julian and Alcaraz, Nicolas and Benis, Arriel and Golebiewski, Martin and Grimm, Dominik G. and Heumos, Lukas and Kacprowski, Tim and Lazareva, Olga and List, Markus and Louadi, Zakaria and Pauling, Josch K. and Pfeifer, Nico and Roettger, Richard and Schwaemmle, Veit and Sturm, Gregor and Traverso, Alberto and Van Steen, Kristel and de Freitas, Martiela Vaz and Villalba Silva, Gerda Cristal and Wee, Leonard and Wenke, Nina K. and Zanin, Massimiliano and Zolotareva, Olga and Baumbach, Jan and Blumenthal, David B.}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {10.1038/s41592-021-01241-0}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Nature Methods}, VOLUME = {18}, PAGES = {1128--1131}, }
Endnote
%0 Journal Article %A Matschinske, Julian %A Alcaraz, Nicolas %A Benis, Arriel %A Golebiewski, Martin %A Grimm, Dominik G. %A Heumos, Lukas %A Kacprowski, Tim %A Lazareva, Olga %A List, Markus %A Louadi, Zakaria %A Pauling, Josch K. %A Pfeifer, Nico %A Roettger, Richard %A Schwaemmle, Veit %A Sturm, Gregor %A Traverso, Alberto %A Van Steen, Kristel %A de Freitas, Martiela Vaz %A Villalba Silva, Gerda Cristal %A Wee, Leonard %A Wenke, Nina K. %A Zanin, Massimiliano %A Zolotareva, Olga %A Baumbach, Jan %A Blumenthal, David B. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T The AIMe Registry for Artificial Intelligence in Biomedical Research : %G eng %U http://hdl.handle.net/21.11116/0000-0009-259D-D %R 10.1038/s41592-021-01241-0 %7 2021 %D 2021 %J Nature Methods %O Nature Methods %V 18 %& 1128 %P 1128 - 1131 %I Nature Pub. Group %C New York, NY %@ false
26. Mattonet K, Nowack-Weyers N, Vogel V, Moser D, Tierling S, Kasper-Sonnenberg M, Wilhelm M, Scherer M, Walter J, Hengstler JG, Schölmerich A, Kumsta R: Prenatal Exposure to Endocrine Disrupting Chemicals is Associated with Altered DNA Methylation in Cord Blood. Epigenetics 2021, 17.
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@article{Mattonet2021, TITLE = {Prenatal exposure to endocrine disrupting chemicals is associated with altered {DNA} methylation in cord blood}, AUTHOR = {Mattonet, Katharina and Nowack-Weyers, Nikola and Vogel, Vanessa and Moser, Dirk and Tierling, Sascha and Kasper-Sonnenberg, Monika and Wilhelm, Michael and Scherer, Michael and Walter, J{\"o}rn and Hengstler, Jan G. and Sch{\"o}lmerich, Axel and Kumsta, Robert}, LANGUAGE = {eng}, ISSN = {1559-2294}, DOI = {10.1080/15592294.2021.1975917}, PUBLISHER = {Taylor \& Francis}, YEAR = {2021}, JOURNAL = {Epigenetics}, VOLUME = {17}, NUMBER = {9}, PAGES = {935--952}, }
Endnote
%0 Journal Article %A Mattonet, Katharina %A Nowack-Weyers, Nikola %A Vogel, Vanessa %A Moser, Dirk %A Tierling, Sascha %A Kasper-Sonnenberg, Monika %A Wilhelm, Michael %A Scherer, Michael %A Walter, Jörn %A Hengstler, Jan G. %A Schölmerich, Axel %A Kumsta, Robert %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Prenatal Exposure to Endocrine Disrupting Chemicals is Associated with Altered DNA Methylation in Cord Blood : %G eng %U http://hdl.handle.net/21.11116/0000-0009-49E8-0 %R 10.1080/15592294.2021.1975917 %7 2021 %D 2021 %J Epigenetics %V 17 %N 9 %& 935 %P 935 - 952 %I Taylor & Francis %@ false
27. Metzler S: Structural Building Blocks in Graph Data. Universität des Saarlandes; 2021.
Abstract
Graph data nowadays easily become so large that it is infeasible to study the underlying structures manually. Thus, computational methods are needed to uncover large-scale structural information. In this thesis, we present methods to understand and summarise large networks.<br>We propose the hyperbolic community model to describe groups of more densely connected nodes within networks using very intuitive parameters. The model accounts for a <br>frequent connectivity pattern in real data: a few community members are highly interconnected; most members mainly have ties to this core. Our model fits real data much better than previously-proposed models. Our corresponding random graph generator, HyGen, creates graphs with realistic intra-community structure.<br>Using the hyperbolic model, we conduct a large-scale study of the temporal evolution of communities on online question–answer sites. We observe that the user activity within a community is constant with respect to its size throughout its lifetime, and a small group of users is responsible for the majority of the social interactions. <br>We propose an approach for Boolean tensor clustering. This special tensor factorisation is restricted to binary data and assumes that one of the tensor directions has only non-overlapping factors. These assumptions – valid for many real-world data, in particular time-evolving networks – enable the use of bitwise operators and lift much of the computational complexity from the task.
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@phdthesis{SaskiaDiss21, TITLE = {Structural Building Blocks in Graph Data}, AUTHOR = {Metzler, Saskia}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-335366}, DOI = {10.22028/D291-33536}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2021}, DATE = {2021}, ABSTRACT = {Graph data nowadays easily become so large that it is infeasible to study the underlying structures manually. Thus, computational methods are needed to uncover large-scale structural information. In this thesis, we present methods to understand and summarise large networks.<br>We propose the hyperbolic community model to describe groups of more densely connected nodes within networks using very intuitive parameters. The model accounts for a <br>frequent connectivity pattern in real data: a few community members are highly interconnected; most members mainly have ties to this core. Our model fits real data much better than previously-proposed models. Our corresponding random graph generator, HyGen, creates graphs with realistic intra-community structure.<br>Using the hyperbolic model, we conduct a large-scale study of the temporal evolution of communities on online question--answer sites. We observe that the user activity within a community is constant with respect to its size throughout its lifetime, and a small group of users is responsible for the majority of the social interactions. <br>We propose an approach for Boolean tensor clustering. This special tensor factorisation is restricted to binary data and assumes that one of the tensor directions has only non-overlapping factors. These assumptions -- valid for many real-world data, in particular time-evolving networks -- enable the use of bitwise operators and lift much of the computational complexity from the task.}, }
Endnote
%0 Thesis %A Metzler, Saskia %Y Miettinen, Pauli %Y Weikum, Gerhard %Y G&#252;nnemann, Stephan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Structural Building Blocks in Graph Data : Characterised by Hyperbolic Communities and Uncovered by Boolean Tensor Clustering %G eng %U http://hdl.handle.net/21.11116/0000-0008-0BC1-2 %R 10.22028/D291-33536 %U urn:nbn:de:bsz:291--ds-335366 %F OTHER: hdl:20.500.11880/30904 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2021 %P 196 p. %V phd %9 phd %X Graph data nowadays easily become so large that it is infeasible to study the underlying structures manually. Thus, computational methods are needed to uncover large-scale structural information. In this thesis, we present methods to understand and summarise large networks.<br>We propose the hyperbolic community model to describe groups of more densely connected nodes within networks using very intuitive parameters. The model accounts for a <br>frequent connectivity pattern in real data: a few community members are highly interconnected; most members mainly have ties to this core. Our model fits real data much better than previously-proposed models. Our corresponding random graph generator, HyGen, creates graphs with realistic intra-community structure.<br>Using the hyperbolic model, we conduct a large-scale study of the temporal evolution of communities on online question&#8211;answer sites. We observe that the user activity within a community is constant with respect to its size throughout its lifetime, and a small group of users is responsible for the majority of the social interactions. <br>We propose an approach for Boolean tensor clustering. This special tensor factorisation is restricted to binary data and assumes that one of the tensor directions has only non-overlapping factors. These assumptions &#8211; valid for many real-world data, in particular time-evolving networks &#8211; enable the use of bitwise operators and lift much of the computational complexity from the task. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/30904
28. Porubsky D, Ebert P, Audano PA, Vollger MR, Harvey WT, Marijon P, Ebler J, Munson KM, Sorensen M, Sulovari A, Haukness M, Ghareghani M, Lansdorp PM, Paten B, Devine SE, Sanders AD, Lee C, Chaisson MJP, Korbel JO, Eichler EE, Marschall T: Fully Phased Human Genome Assembly without Parental Data using Single-Cell Strand Sequencing and Long Reads. Nature Biotechnology 2021, 39.
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@article{Porubsky2020, TITLE = {Fully Phased Human Genome Assembly without Parental Data using Single-Cell Strand Sequencing and Long Reads}, AUTHOR = {Porubsky, David and Ebert, Peter and Audano, Peter A. and Vollger, Mitchell R. and Harvey, William T. and Marijon, Pierre and Ebler, Jana and Munson, Katherine M. and Sorensen, Melanie and Sulovari, Arvis and Haukness, Marina and Ghareghani, Maryam and Lansdorp, Peter M. and Paten, Benedict and Devine, Scott E. and Sanders, Ashley D. and Lee, Charles and Chaisson, Mark J. P. and Korbel, Jan O. and Eichler, Evan E. and Marschall, Tobias and {Human Genome Structural Variation Consortium}}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/s41587-020-0719-5}, PUBLISHER = {Gale Group Inc.}, ADDRESS = {New York, NY}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Nature Biotechnology}, VOLUME = {39}, PAGES = {302--308}, }
Endnote
%0 Journal Article %A Porubsky, David %A Ebert, Peter %A Audano, Peter A. %A Vollger, Mitchell R. %A Harvey, William T. %A Marijon, Pierre %A Ebler, Jana %A Munson, Katherine M. %A Sorensen, Melanie %A Sulovari, Arvis %A Haukness, Marina %A Ghareghani, Maryam %A Lansdorp, Peter M. %A Paten, Benedict %A Devine, Scott E. %A Sanders, Ashley D. %A Lee, Charles %A Chaisson, Mark J. P. %A Korbel, Jan O. %A Eichler, Evan E. %A Marschall, Tobias %A Human Genome Structural Variation Consortium, %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Fully Phased Human Genome Assembly without Parental Data using Single-Cell Strand Sequencing and Long Reads : %G eng %U http://hdl.handle.net/21.11116/0000-0007-A6D4-E %R 10.1038/s41587-020-0719-5 %7 2020 %D 2021 %J Nature Biotechnology %O Nat. Biotechnol. %V 39 %& 302 %P 302 - 308 %I Gale Group Inc. %C New York, NY %@ false
29. Rautiainen M, Marschall T: MBG: Minimizer-based Sparse de Bruijn Graph Construction. Bioinformatics 2021, 37.
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@article{Rautiainen2021, TITLE = {{MBG}: {M}inimizer-based sparse de {B}ruijn {G}raph construction}, AUTHOR = {Rautiainen, Mikko and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btab004}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Bioinformatics}, VOLUME = {37}, NUMBER = {16}, PAGES = {2476--2478}, }
Endnote
%0 Journal Article %A Rautiainen, Mikko %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T MBG: Minimizer-based Sparse de Bruijn Graph Construction : %G eng %U http://hdl.handle.net/21.11116/0000-0009-617C-F %R 10.1093/bioinformatics/btab004 %7 2021 %D 2021 %J Bioinformatics %V 37 %N 16 %& 2476 %P 2476 - 2478 %I Oxford University Press %C Oxford %@ false
30. Scherer M, Schmidt F, Lazareva O, Walter J, Baumbach J, Schulz MH, List M: Machine Learning for Deciphering Cell Heterogeneity and Gene Regulation. Nature Computational Science 2021, 1.
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@article{Scherer2021, TITLE = {Machine Learning for Deciphering Cell Heterogeneity and Gene Regulation}, AUTHOR = {Scherer, Michael and Schmidt, Florian and Lazareva, Olga and Walter, J{\"o}rn and Baumbach, Jan and Schulz, Marcel Holger and List, Markus}, LANGUAGE = {eng}, ISSN = {2662-8457}, DOI = {10.1038/s43588-021-00038-7}, PUBLISHER = {Nature Research}, ADDRESS = {London}, YEAR = {2021}, JOURNAL = {Nature Computational Science}, VOLUME = {1}, }
Endnote
%0 Journal Article %A Scherer, Michael %A Schmidt, Florian %A Lazareva, Olga %A Walter, J&#246;rn %A Baumbach, Jan %A Schulz, Marcel Holger %A List, Markus %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Machine Learning for Deciphering Cell Heterogeneity and Gene Regulation : %G eng %U http://hdl.handle.net/21.11116/0000-0008-2A4A-7 %R 10.1038/s43588-021-00038-7 %7 2021 %D 2021 %J Nature Computational Science %V 1 %I Nature Research %C London %@ false
31. Scherer M: Computational solutions for addressing heterogeneity in DNA methylation data. Universität des Saarlandes; 2021.
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@phdthesis{Schererphd2020, TITLE = {Computational solutions for addressing heterogeneity in {DNA} methylation data}, AUTHOR = {Scherer, Michael}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-338080}, DOI = {10.22028/D291-33808}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2021}, DATE = {2021}, }
Endnote
%0 Thesis %A Scherer, Michael %Y Lengauer, Thomas %A referee: Walther, J&#246;rn %A referee: Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational solutions for addressing heterogeneity in DNA methylation data : %G eng %U http://hdl.handle.net/21.11116/0000-0008-BA18-C %R 10.22028/D291-33808 %U urn:nbn:de:bsz:291--ds-338080 %F OTHER: hdl:20.500.11880/31186 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2021 %P 147 p. %V phd %9 phd %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/31186
32. Scherer M, Gasparoni G, Rahmouni S, Shashkova T, Arnoux M, Louis E, Nostaeva A, Avalos D, Dermitzakis ET, Aulchenko YS, Lengauer T, Lyons PA, Georges M, Walter J: Identification of Tissue-specific and Common Methylation Quantitative Trait Loci in Healthy Individuals using MAGAR. Epigenetics & Chromatin 2021, 14.
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@article{Scherer2021b, TITLE = {Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using {MAGAR}}, AUTHOR = {Scherer, Michael and Gasparoni, Gilles and Rahmouni, Souad and Shashkova, Tatiana and Arnoux, Marion and Louis, Edouard and Nostaeva, Arina and Avalos, Diana and Dermitzakis, Emmanouil T. and Aulchenko, Yurii S. and Lengauer, Thomas and Lyons, Paul A. and Georges, Michel and Walter, J{\"o}rn}, LANGUAGE = {eng}, DOI = {10.1186/s13072-021-00415-6}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2021}, JOURNAL = {Epigenetics \& Chromatin}, VOLUME = {14}, NUMBER = {1}, EID = {44}, }
Endnote
%0 Journal Article %A Scherer, Michael %A Gasparoni, Gilles %A Rahmouni, Souad %A Shashkova, Tatiana %A Arnoux, Marion %A Louis, Edouard %A Nostaeva, Arina %A Avalos, Diana %A Dermitzakis, Emmanouil T. %A Aulchenko, Yurii S. %A Lengauer, Thomas %A Lyons, Paul A. %A Georges, Michel %A Walter, J&#246;rn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Identification of Tissue-specific and Common Methylation Quantitative Trait Loci in Healthy Individuals using MAGAR : %G eng %U http://hdl.handle.net/21.11116/0000-0009-49EA-E %R 10.1186/s13072-021-00415-6 %7 2021 %D 2021 %J Epigenetics & Chromatin %V 14 %N 1 %Z sequence number: 44 %I BioMed Central %C London
33. Schmidt F, Marx A, Baumgarten N, Hebel M, Wegner M, Kaulich M, Leisegang MS, Brandes RP, Göke J, Vreeken J, Schulz MH: Integrative Analysis of Epigenetics Data Identifies Gene-specific Regulatory Elements. Nucleic Acids Research (London) 2021, 49.
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@article{Schmidt_NAR21, TITLE = {Integrative Analysis of Epigenetics Data Identifies Gene-specific Regulatory Elements}, AUTHOR = {Schmidt, Florian and Marx, Alexander and Baumgarten, Nina and Hebel, Marie and Wegner, Martin and Kaulich, Manuel and Leisegang, Matthias S. and Brandes, Ralf P and G{\"o}ke, Jonathan and Vreeken, Jilles and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkab798}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2021}, DATE = {2021}, JOURNAL = {Nucleic Acids Research (London)}, VOLUME = {49}, NUMBER = {18}, PAGES = {10397--10418}, }
Endnote
%0 Journal Article %A Schmidt, Florian %A Marx, Alexander %A Baumgarten, Nina %A Hebel, Marie %A Wegner, Martin %A Kaulich, Manuel %A Leisegang, Matthias S. %A Brandes, Ralf P %A G&#246;ke, Jonathan %A Vreeken, Jilles %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Databases and Information Systems, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrative Analysis of Epigenetics Data Identifies Gene-specific Regulatory Elements : %G eng %U http://hdl.handle.net/21.11116/0000-0009-6D54-F %R 10.1093/nar/gkab798 %2 PMC8501997 %7 2021 %D 2021 %J Nucleic Acids Research (London) %O Nucleic Acids Res %V 49 %N 18 %& 10397 %P 10397 - 10418 %I Oxford University Press %C Oxford %@ false
34. Ünal AB, Akgün M, Pfeifer N: ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. In AAAI Technical Track on Machine Learning IV. AAAI; 2021.
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@inproceedings{Uenal_AAAI21, TITLE = {ESCAPED: {E}fficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare}, AUTHOR = {{\"U}nal, Ali Burak and Akg{\"u}n, Mete and Pfeifer, Nico}, LANGUAGE = {eng}, ISBN = {978-1-57735-866-4}, URL = {https://ojs.aaai.org/index.php/AAAI/article/view/17199}, PUBLISHER = {AAAI}, YEAR = {2021}, BOOKTITLE = {AAAI Technical Track on Machine Learning IV}, PAGES = {9988--9996}, ADDRESS = {Virtual Conference}, }
Endnote
%0 Conference Proceedings %A &#220;nal, Ali Burak %A Akg&#252;n, Mete %A Pfeifer, Nico %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare : %G eng %U http://hdl.handle.net/21.11116/0000-0009-3FAC-0 %U https://ojs.aaai.org/index.php/AAAI/article/view/17199 %D 2021 %B Thirty-Fifth AAAI Conference on Artificial Intelligence %Z date of event: 2021-02-02 - 2021-02-09 %C Virtual Conference %B AAAI Technical Track on Machine Learning IV %P 9988 - 9996 %I AAAI %@ 978-1-57735-866-4 %U https://ojs.aaai.org/index.php/AAAI/article/view/17199/17006
2020
35. Akgün M, Ünal AB, Ergüner B, Pfeifer N, Kohlbacher O: Identifying Disease-causing Mutations with Privacy Protection. Bioinformatics 2020, 36.
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@article{Akguen2020, TITLE = {Identifying Disease-causing Mutations with Privacy Protection}, AUTHOR = {Akg{\"u}n, Mete and {\"U}nal, Ali Burak and Erg{\"u}ner, Bekir and Pfeifer, Nico and Kohlbacher, Oliver}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btaa641}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Bioinformatics}, VOLUME = {36}, NUMBER = {21}, PAGES = {5205--5213}, }
Endnote
%0 Journal Article %A Akg&#252;n, Mete %A &#220;nal, Ali Burak %A Erg&#252;ner, Bekir %A Pfeifer, Nico %A Kohlbacher, Oliver %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Identifying Disease-causing Mutations with Privacy Protection : %G eng %U http://hdl.handle.net/21.11116/0000-0008-2C56-7 %R 10.1093/bioinformatics/btaa641 %7 2020 %D 2020 %J Bioinformatics %V 36 %N 21 %& 5205 %P 5205 - 5213 %I Oxford University Press %C Oxford %@ false
36. Ardakani FB, Kattler K, Heinen T, Schmidt F, Feuerborn D, Gasparoni G, Lepikhov K, Nell P, Hengstler J, Walter J, Schulz MH: Prediction of Single-cell Gene Expression for Transcription Factor Analysis. GigaScience 2020, 9.
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@article{Ardakani2020, TITLE = {Prediction of Single-cell Gene Expression for Transcription Factor Analysis}, AUTHOR = {Ardakani, Fatemeh Behjati and Kattler, Kathrin and Heinen, Tobias and Schmidt, Florian and Feuerborn, David and Gasparoni, Gilles and Lepikhov, Konstantin and Nell, Patrick and Hengstler, Jan and Walter, Jorn and Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {2047-217X}, DOI = {10.1093/gigascience/giaa113}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2020}, JOURNAL = {GigaScience}, VOLUME = {9}, PAGES = {1--14}, EID = {113}, }
Endnote
%0 Journal Article %A Ardakani, Fatemeh Behjati %A Kattler, Kathrin %A Heinen, Tobias %A Schmidt, Florian %A Feuerborn, David %A Gasparoni, Gilles %A Lepikhov, Konstantin %A Nell, Patrick %A Hengstler, Jan %A Walter, Jorn %A Schulz, Marcel H. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prediction of Single-cell Gene Expression for Transcription Factor Analysis : %G eng %U http://hdl.handle.net/21.11116/0000-0007-E45F-E %R 10.1093/gigascience/giaa113 %7 2020 %D 2020 %J GigaScience %V 9 %& 1 %P 1 - 14 %Z sequence number: 113 %I BioMed Central %C London %@ false
37. Bastys T, Gapsys V, Walter H, Heger E, Doncheva NT, Kaiser R, de Groot BL, Kalinina OV: Non-active Site Mutants of HIV-1 Protease Influence Resistance and Sensitisation towards Protease Inhibitors. Retrovirology 2020.
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@article{Bastys2020, TITLE = {Non-active site mutants of {HIV-1} protease influence resistance and sensitisation towards protease inhibitors}, AUTHOR = {Bastys, Tomas and Gapsys, Vytautas and Walter, Hauke and Heger, Eva and Doncheva, Nadezhda Tsankova and Kaiser, Rolf and de Groot, Bert L. and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {1742-4690}, DOI = {10.1186/s12977-020-00520-6}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2020}, JOURNAL = {Retrovirology}, EID = {13}, }
Endnote
%0 Journal Article %A Bastys, Tomas %A Gapsys, Vytautas %A Walter, Hauke %A Heger, Eva %A Doncheva, Nadezhda Tsankova %A Kaiser, Rolf %A de Groot, Bert L. %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Non-active Site Mutants of HIV-1 Protease Influence Resistance and Sensitisation towards Protease Inhibitors : %G eng %U http://hdl.handle.net/21.11116/0000-0006-A274-0 %R 10.1186/s12977-020-00520-6 %2 PMC7236880 %7 2020 %D 2020 %J Retrovirology %Z sequence number: 13 %I BioMed Central %C London %@ false
38. Baumgarten N, Schmidt F, Schulz MH: Improved Linking of Motifs to their TFs Using Domain Information. Bioinformatics 2020, 36.
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@article{Baumgarten2020, TITLE = {Improved linking of motifs to their {TFs} using domain information}, AUTHOR = {Baumgarten, Nina and Schmidt, Florian and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btz855}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Bioinformatics}, VOLUME = {36}, NUMBER = {6}, PAGES = {1655--1662}, }
Endnote
%0 Journal Article %A Baumgarten, Nina %A Schmidt, Florian %A Schulz, Marcel Holger %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved Linking of Motifs to their TFs Using Domain Information : %G eng %U http://hdl.handle.net/21.11116/0000-0006-A2A9-4 %R 10.1093/bioinformatics/btz855 %7 2019 %D 2020 %J Bioinformatics %V 36 %N 6 %& 1655 %P 1655 - 1662 %I Oxford University Press %C Oxford %@ false
39. Behjati Ardakani F: Computational models of gene expression regulation. Universität des Saarlandes; 2020.
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@phdthesis{Ardadiss_2019, TITLE = {Computational models of gene expression regulation}, AUTHOR = {Behjati Ardakani, Fatemeh}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-321489}, DOI = {http://dx.doi.org/10.22028/D291-30206}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2020}, DATE = {2020}, }
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%0 Thesis %A Behjati Ardakani, Fatemeh %Y Schulz, Marcel %A referee: Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational models of gene expression regulation : %G eng %U http://hdl.handle.net/21.11116/0000-0007-7163-A %R http://dx.doi.org/10.22028/D291-30206 %U urn:nbn:de:bsz:291--ds-321489 %F OTHER: hdl:20.500.11880/29766 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2020 %P 170 p. %V phd %9 phd %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/29766
40. Berzow D, Descamps D, Obermeier M, Charpentier C, Kaiser R, Guertler L, Eberle J, Wensing A, Sierra S, Ruelle J, Gomes P, Mansinho K, Taylor N, Jensen B, Döring M, Stürmer M, Rockstroh J, Camacho R: HIV-2: A Summary of Present Standard of Care and Treatment Options for HIV-2 Infected Individuals Living in Western Europe. Clinical Infectious Diseases 2020.
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@article{Berzow2020, TITLE = {{HIV}-2: {A} summary of present standard of care and treatment options for {HIV}-2 infected individuals living in {Western Europe}}, AUTHOR = {Berzow, Dirk and Descamps, Diane and Obermeier, Martin and Charpentier, Charlotte and Kaiser, Rolf and Guertler, Lutz and Eberle, Josef and Wensing, Annemarie and Sierra, Saleta and Ruelle, Jean and Gomes, Perpetua and Mansinho, Kamal and Taylor, Ninon and Jensen, Bj{\"o}rn and D{\"o}ring, Matthias and St{\"u}rmer, Martin and Rockstroh, J{\"u}rgen and Camacho, Ricardo}, LANGUAGE = {eng}, ISSN = {1058-4838}, DOI = {10.1093/cid/ciaa275}, PUBLISHER = {The University of Chicago Press}, ADDRESS = {Chicago, IL}, YEAR = {2020}, JOURNAL = {Clinical Infectious Diseases}, EID = {ciaa275}, }
Endnote
%0 Journal Article %A Berzow, Dirk %A Descamps, Diane %A Obermeier, Martin %A Charpentier, Charlotte %A Kaiser, Rolf %A Guertler, Lutz %A Eberle, Josef %A Wensing, Annemarie %A Sierra, Saleta %A Ruelle, Jean %A Gomes, Perpetua %A Mansinho, Kamal %A Taylor, Ninon %A Jensen, Bj&#246;rn %A D&#246;ring, Matthias %A St&#252;rmer, Martin %A Rockstroh, J&#252;rgen %A Camacho, Ricardo %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T HIV-2: A Summary of Present Standard of Care and Treatment Options for HIV-2 Infected Individuals Living in Western Europe : %G eng %U http://hdl.handle.net/21.11116/0000-0006-5A74-3 %R 10.1093/cid/ciaa275 %7 2020 %D 2020 %J Clinical Infectious Diseases %Z sequence number: ciaa275 %I The University of Chicago Press %C Chicago, IL %@ false
41. Chakraborty S, Canzar S, Marschall T, Schulz MH: Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data. Journal of Computational Biology 2020, 27.
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@article{Chakraborty_2020, TITLE = {Chromatyping: {R}econstructing Nucleosome Profiles from {NOMe} Sequencing Data}, AUTHOR = {Chakraborty, Shounak and Canzar, Stefan and Marschall, Tobias and Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {1066-5277}, DOI = {10.1089/cmb.2019.0457}, PUBLISHER = {Mary Ann Liebert}, ADDRESS = {New York, NY}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Journal of Computational Biology}, VOLUME = {27}, NUMBER = {3}, PAGES = {330--341}, }
Endnote
%0 Journal Article %A Chakraborty, Shounak %A Canzar, Stefan %A Marschall, Tobias %A Schulz, Marcel H. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data : %G eng %U http://hdl.handle.net/21.11116/0000-0006-97D4-0 %R 10.1089/cmb.2019.0457 %7 2020 %D 2020 %J Journal of Computational Biology %V 27 %N 3 %& 330 %P 330 - 341 %I Mary Ann Liebert %C New York, NY %@ false
42. Chin C-S, Wagner J, Zeng Q, Garrison E, Garg S, Fungtammasan A, Rautiainen M, Aganezov S, Kirsche M, Zarate S, Schatz MC, Xiao C, Rowell WJ, Markello C, Farek J, Sedlazeck FJ, Bansal V, Yoo B, Miller N, Zhou X, Carroll A, Barrio AM, Salit M, Marschall T, Dilthey AT, Zook JM: A Diploid Assembly-based Benchmark for Variants in the Major Histocompatibility Complex. Nature Communications 2020, 11.
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@article{Chin2020, TITLE = {A Diploid Assembly-based Benchmark for Variants in the Major Histocompatibility Complex}, AUTHOR = {Chin, Chen-Shan and Wagner, Justin and Zeng, Qiandong and Garrison, Erik and Garg, Shilpa and Fungtammasan, Arkarachai and Rautiainen, Mikko and Aganezov, Sergey and Kirsche, Melanie and Zarate, Samantha and Schatz, Michael C. and Xiao, Chunlin and Rowell, William J. and Markello, Charles and Farek, Jesse and Sedlazeck, Fritz J. and Bansal, Vikas and Yoo, Byunggil and Miller, Neil and Zhou, Xin and Carroll, Andrew and Barrio, Alvaro Martinez and Salit, Marc and Marschall, Tobias and Dilthey, Alexander T. and Zook, Justin M.}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-020-18564-9}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Nature Communications}, VOLUME = {11}, NUMBER = {1}, EID = {4794}, }
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%0 Journal Article %A Chin, Chen-Shan %A Wagner, Justin %A Zeng, Qiandong %A Garrison, Erik %A Garg, Shilpa %A Fungtammasan, Arkarachai %A Rautiainen, Mikko %A Aganezov, Sergey %A Kirsche, Melanie %A Zarate, Samantha %A Schatz, Michael C. %A Xiao, Chunlin %A Rowell, William J. %A Markello, Charles %A Farek, Jesse %A Sedlazeck, Fritz J. %A Bansal, Vikas %A Yoo, Byunggil %A Miller, Neil %A Zhou, Xin %A Carroll, Andrew %A Barrio, Alvaro Martinez %A Salit, Marc %A Marschall, Tobias %A Dilthey, Alexander T. %A Zook, Justin M. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T A Diploid Assembly-based Benchmark for Variants in the Major Histocompatibility Complex : %G eng %U http://hdl.handle.net/21.11116/0000-0007-360E-E %R 10.1038/s41467-020-18564-9 %7 2020 %D 2020 %J Nature Communications %O Nat. Commun. %V 11 %N 1 %Z sequence number: 4794 %I Nature Publishing Group %C London %@ false
43. Delacher M, Imbusch CD, Hotz-Wagenblatt A, Mallm J-P, Bauer K, Simon M, Riegel D, Rendeiro AF, Bittner S, Sanderink L, Pant A, Schmidleithner L, Braband KL, Echtenachter B, Fischer A, Giunchiglia V, Hoffmann P, Edinger M, Bock C, Rehli M, Brors B, Schmidl C, Feuerer M: Precursors for Nonlymphoid-Tissue Treg Cells Reside in Secondary Lymphoid Organs and Are Programmed by the Transcription Factor BATF. Immunity 2020, 52.
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@article{Delacher2020, TITLE = {Precursors for Nonlymphoid-Tissue Treg Cells Reside in Secondary Lymphoid Organs and Are Programmed by the Transcription Factor {BATF}}, AUTHOR = {Delacher, Michael and Imbusch, Charles D. and Hotz-Wagenblatt, Agnes and Mallm, Jan-Philipp and Bauer, Katharina and Simon, Malte and Riegel, Dania and Rendeiro, Andr{\'e} F. and Bittner, Sebastian and Sanderink, Lieke and Pant, Asmita and Schmidleithner, Lisa and Braband, Kathrin L. and Echtenachter, Bernd and Fischer, Alexander and Giunchiglia, Valentina and Hoffmann, Petra and Edinger, Matthias and Bock, Christoph and Rehli, Michael and Brors, Benedikt and Schmidl, Christian and Feuerer, Markus}, LANGUAGE = {eng}, ISSN = {1074-7613}, DOI = {10.1016/j.immuni.2019.12.002}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2020}, JOURNAL = {Immunity}, VOLUME = {52}, NUMBER = {2}, PAGES = {295--312}, EID = {e11}, }
Endnote
%0 Journal Article %A Delacher, Michael %A Imbusch, Charles D. %A Hotz-Wagenblatt, Agnes %A Mallm, Jan-Philipp %A Bauer, Katharina %A Simon, Malte %A Riegel, Dania %A Rendeiro, Andr&#233; F. %A Bittner, Sebastian %A Sanderink, Lieke %A Pant, Asmita %A Schmidleithner, Lisa %A Braband, Kathrin L. %A Echtenachter, Bernd %A Fischer, Alexander %A Giunchiglia, Valentina %A Hoffmann, Petra %A Edinger, Matthias %A Bock, Christoph %A Rehli, Michael %A Brors, Benedikt %A Schmidl, Christian %A Feuerer, Markus %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Precursors for Nonlymphoid-Tissue Treg Cells Reside in Secondary Lymphoid Organs and Are Programmed by the Transcription Factor BATF : %G eng %U http://hdl.handle.net/21.11116/0000-0006-8E56-A %R 10.1016/j.immuni.2019.12.002 %2 PMC7026712 %7 2020 %D 2020 %J Immunity %V 52 %N 2 %& 295 %P 295 - 312 %Z sequence number: e11 %I Cell Press %C Cambridge, Mass. %@ false
44. Eizenga JM, Novak AM, Sibbesen JA, Heumos S, Ghaffaari A, Hickey G, Chang X, Seaman JD, Rounthwaite R, Ebler J, Rautiainen M, Garg S, Paten B, Marschall T, Sirén J, Garrison E: Pangenome Graphs. Annual Review of Genomics and Human Genetics 2020, 21.
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@article{Eizenga2020, TITLE = {Pangenome Graphs}, AUTHOR = {Eizenga, Jordan M. and Novak, Adam M. and Sibbesen, Jonas A. and Heumos, Simon and Ghaffaari, Ali and Hickey, Glenn and Chang, Xian and Seaman, Josiah D. and Rounthwaite, Robin and Ebler, Jana and Rautiainen, Mikko and Garg, Shilpa and Paten, Benedict and Marschall, Tobias and Sir{\'e}n, Jouni and Garrison, Erik}, LANGUAGE = {eng}, ISSN = {1527-8204}, DOI = {10.1146/annurev-genom-120219-080406}, PUBLISHER = {Annual Reviews}, ADDRESS = {Palo Alto, CA}, YEAR = {2020}, JOURNAL = {Annual Review of Genomics and Human Genetics}, VOLUME = {21}, PAGES = {139--162}, }
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%0 Journal Article %A Eizenga, Jordan M. %A Novak, Adam M. %A Sibbesen, Jonas A. %A Heumos, Simon %A Ghaffaari, Ali %A Hickey, Glenn %A Chang, Xian %A Seaman, Josiah D. %A Rounthwaite, Robin %A Ebler, Jana %A Rautiainen, Mikko %A Garg, Shilpa %A Paten, Benedict %A Marschall, Tobias %A Sir&#233;n, Jouni %A Garrison, Erik %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Pangenome Graphs : %G eng %U http://hdl.handle.net/21.11116/0000-0008-070D-3 %R 10.1146/annurev-genom-120219-080406 %2 PMC8006571 %7 2020 %D 2020 %J Annual Review of Genomics and Human Genetics %V 21 %& 139 %P 139 - 162 %I Annual Reviews %C Palo Alto, CA %@ false
45. Gier S, Simon M, Gasparoni G, Khalifa S, Schulz MH, Schmitt MJ, Breinig F: Yeast Viral Killer Toxin K1 Induces Specific Host Cell Adaptions via Intrinsic Selection Pressure. Applied and Environmental Microbiology 2020, 86.
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@article{Gier2020, TITLE = {Yeast Viral Killer Toxin {K1} Induces Specific Host Cell Adaptions via Intrinsic Selection Pressure}, AUTHOR = {Gier, Stefanie and Simon, Martin and Gasparoni, Gilles and Khalifa, Salem and Schulz, Marcel Holger and Schmitt, Manfred J. and Breinig, Frank}, LANGUAGE = {eng}, ISSN = {0099-2240}, DOI = {10.1128/AEM.02446-19}, PUBLISHER = {American Society for Microbiology (ASM)}, YEAR = {2020}, JOURNAL = {Applied and Environmental Microbiology}, VOLUME = {86}, NUMBER = {4}, EID = {e02446-19}, }
Endnote
%0 Journal Article %A Gier, Stefanie %A Simon, Martin %A Gasparoni, Gilles %A Khalifa, Salem %A Schulz, Marcel Holger %A Schmitt, Manfred J. %A Breinig, Frank %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Yeast Viral Killer Toxin K1 Induces Specific Host Cell Adaptions via Intrinsic Selection Pressure : %G eng %U http://hdl.handle.net/21.11116/0000-0006-9771-0 %R 10.1128/AEM.02446-19 %7 2020 %D 2020 %J Applied and Environmental Microbiology %O Appl. Environ. Microbiol. %V 86 %N 4 %Z sequence number: e02446-19 %I American Society for Microbiology (ASM) %@ false
46. Karunanithi S, Oruganti V, de Wijn R, Drews F, Cheaib M, Nordström K, Simon M, Schulz MH: Feeding Exogenous dsRNA Interferes with Endogenous sRNA Accumulation in Paramecium. DNA Research 2020, 27.
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@article{Karunanithi2020, TITLE = {Feeding exogenous {dsRNA} interferes with endogenous {sRNA} accumulation in {Paramecium}}, AUTHOR = {Karunanithi, Sivarajan and Oruganti, Vidya and de Wijn, Raphael and Drews, Franziska and Cheaib, Miriam and Nordstr{\"o}m, Karl and Simon, Martin and Schulz, Marcel Holger}, LANGUAGE = {eng}, DOI = {10.1093/dnares/dsaa005}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2020}, JOURNAL = {DNA Research}, VOLUME = {27}, NUMBER = {1}, EID = {dsaa005}, }
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%0 Journal Article %A Karunanithi, Sivarajan %A Oruganti, Vidya %A de Wijn, Raphael %A Drews, Franziska %A Cheaib, Miriam %A Nordstr&#246;m, Karl %A Simon, Martin %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Feeding Exogenous dsRNA Interferes with Endogenous sRNA Accumulation in Paramecium : %G eng %U http://hdl.handle.net/21.11116/0000-0006-D2FC-1 %R 10.1093/dnares/dsaa005 %2 PMC7315353 %7 2020 %D 2020 %J DNA Research %V 27 %N 1 %Z sequence number: dsaa005 %I Oxford University Press %C Oxford, UK
47. Kreer C, Döring M, Lehnen N, Ercanoglu MS, Gieselmann L, Luca D, Jain K, Schommers P, Pfeifer N, Klein F: openPrimeR for Multiplex Amplification of Highly Diverse Templates. Journal of Immunological Methods 2020, 420.
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@article{Kreer2020, TITLE = {{openPrimeR} for multiplex amplification of highly diverse templates}, AUTHOR = {Kreer, Christoph and D{\"o}ring, Matthias and Lehnen, Nathalie and Ercanoglu, Meryem S. and Gieselmann, Lutz and Luca, Domnica and Jain, Kanika and Schommers, Philipp and Pfeifer, Nico and Klein, Florian}, LANGUAGE = {eng}, ISSN = {0022-1759}, DOI = {10.1016/j.jim.2020.112752}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Journal of Immunological Methods}, VOLUME = {420}, EID = {112752}, }
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%0 Journal Article %A Kreer, Christoph %A D&#246;ring, Matthias %A Lehnen, Nathalie %A Ercanoglu, Meryem S. %A Gieselmann, Lutz %A Luca, Domnica %A Jain, Kanika %A Schommers, Philipp %A Pfeifer, Nico %A Klein, Florian %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T openPrimeR for Multiplex Amplification of Highly Diverse Templates : %G eng %U http://hdl.handle.net/21.11116/0000-0006-5A7E-9 %R 10.1016/j.jim.2020.112752 %7 2020 %D 2020 %J Journal of Immunological Methods %V 420 %Z sequence number: 112752 %I Elsevier %C Amsterdam %@ false
48. Lähnemann D, Köster J, Szczurek E, McCarthy DJ, Hicks SC, Robinson MD, Vallejos CA, Campbell KR, Beerenwinkel N, Mahfouz A, Pinello L, Skums P, Stamatakis A, Attolini CS-O, Aparicio S, Baaijens J, Balvert M, de Barbanson B, Cappuccio A, Corleone G, Dutilh BE, Florescu M, Guryev V, Holmer R, Jahn K, Lobo TJ, Keizer EM, Khatri I, Kielbasa SM, Korbel JO, et al.: Eleven Grand Challenges in Single-Cell Data Science. Genome Biology 2020, 21.
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@article{Laehnemann2020, TITLE = {Eleven Grand Challenges in Single-Cell Data Science}, AUTHOR = {L{\"a}hnemann, David and K{\"o}ster, Johannes and Szczurek, Ewa and McCarthy, Davis J. and Hicks, Stephanie C. and Robinson, Mark D. and Vallejos, Catalina A. and Campbell, Kieran R. and Beerenwinkel, Niko and Mahfouz, Ahmed and Pinello, Luca and Skums, Pavel and Stamatakis, Alexandros and Attolini, Camille Stephan-Otto and Aparicio, Samuel and Baaijens, Jasmijn and Balvert, Marleen and de Barbanson, Buys and Cappuccio, Antonio and Corleone, Giacomo and Dutilh, Bas E. and Florescu, Maria and Guryev, Victor and Holmer, Rens and Jahn, Katharina and Lobo, Thamar Jessurun and Keizer, Emma M. and Khatri, Indu and Kielbasa, Szymon M. and Korbel, Jan O. and Kozlov, Alexey M. and Kuo, Tzu-Hao and Lelieveldt, Boudewijn P. F. and Mandoiu, Ion I. and Marioni, John C. and Marschall, Tobias and Moelder, Felix and Niknejad, Amir and Raczkowski, Lukasz and Reinders, Marcel and de Ridder, Jeroen and Saliba, Antoine-Emmanuel and Somarakis, Antonios and Stegle, Oliver and Theis, Fabian J. and Yang, Huan and Zelikovsky, Alex and MacHardy, Alice C. and Raphael, Benjamin J. and Shah, Sohrab P. and Sch{\"o}nhuth, Alexander}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-020-1926-6}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2020}, JOURNAL = {Genome Biology}, VOLUME = {21}, NUMBER = {1}, EID = {31}, }
Endnote
%0 Journal Article %A L&#228;hnemann, David %A K&#246;ster, Johannes %A Szczurek, Ewa %A McCarthy, Davis J. %A Hicks, Stephanie C. %A Robinson, Mark D. %A Vallejos, Catalina A. %A Campbell, Kieran R. %A Beerenwinkel, Niko %A Mahfouz, Ahmed %A Pinello, Luca %A Skums, Pavel %A Stamatakis, Alexandros %A Attolini, Camille Stephan-Otto %A Aparicio, Samuel %A Baaijens, Jasmijn %A Balvert, Marleen %A de Barbanson, Buys %A Cappuccio, Antonio %A Corleone, Giacomo %A Dutilh, Bas E. %A Florescu, Maria %A Guryev, Victor %A Holmer, Rens %A Jahn, Katharina %A Lobo, Thamar Jessurun %A Keizer, Emma M. %A Khatri, Indu %A Kielbasa, Szymon M. %A Korbel, Jan O. %A Kozlov, Alexey M. %A Kuo, Tzu-Hao %A Lelieveldt, Boudewijn P. F. %A Mandoiu, Ion I. %A Marioni, John C. %A Marschall, Tobias %A Moelder, Felix %A Niknejad, Amir %A Raczkowski, Lukasz %A Reinders, Marcel %A de Ridder, Jeroen %A Saliba, Antoine-Emmanuel %A Somarakis, Antonios %A Stegle, Oliver %A Theis, Fabian J. %A Yang, Huan %A Zelikovsky, Alex %A MacHardy, Alice C. %A Raphael, Benjamin J. %A Shah, Sohrab P. %A Sch&#246;nhuth, Alexander %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Eleven Grand Challenges in Single-Cell Data Science : %G eng %U http://hdl.handle.net/21.11116/0000-0006-8E39-B %R 10.1186/s13059-020-1926-6 %7 2020 %D 2020 %J Genome Biology %V 21 %N 1 %Z sequence number: 31 %I BioMed Central Ltd. %C London %@ false
49. Lengauer T: Statistical Data Analysis in the Era of Big Data. Chemie-Ingenieur-Technik 2020, 92.
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@article{LengauerStatData2020, TITLE = {Statistical Data Analysis in the Era of Big Data}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0009-286X}, DOI = {10.1002/cite.202000024}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2020}, JOURNAL = {Chemie-Ingenieur-Technik}, VOLUME = {92}, NUMBER = {7}, PAGES = {831--841}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Statistical Data Analysis in the Era of Big Data : %G eng %U http://hdl.handle.net/21.11116/0000-0006-9A1B-F %R 10.1002/cite.202000024 %7 2020 %D 2020 %J Chemie-Ingenieur-Technik %O Chem. Ing. Tech. %V 92 %N 7 %& 831 %P 831 - 841 %I Wiley-VCH %C Weinheim, Germany %@ false
50. Porubsky D, Sanders AD, Höps W, Hsieh P, Sulovari A, Li R, Mercuri L, Sorensen M, Murali SC, Gordon D, Cantsilieris S, Pollen AA, Ventura M, Antonacci F, Marschall T, Korbel JO, Eichler EE: Recurrent Inversion Toggling and Great Ape Genome Evolution. Nature Genetics 2020, 52.
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@article{Porubsky2020a, TITLE = {Recurrent Inversion Toggling and Great Ape Genome Evolution}, AUTHOR = {Porubsky, David and Sanders, Ashley D. and H{\"o}ps, Wolfram and Hsieh, PingHsun and Sulovari, Arvis and Li, Ruiyang and Mercuri, Ludovica and Sorensen, Melanie and Murali, Shwetha C. and Gordon, David and Cantsilieris, Stuart and Pollen, Alex A. and Ventura, Mario and Antonacci, Francesca and Marschall, Tobias and Korbel, Jan O. and Eichler, Evan E.}, LANGUAGE = {eng}, ISSN = {1061-4036}, DOI = {10.1038/s41588-020-0646-x}, PUBLISHER = {Nature America, Inc.}, ADDRESS = {New York, NY}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Nature Genetics}, VOLUME = {52}, NUMBER = {8}, PAGES = {849--852}, }
Endnote
%0 Journal Article %A Porubsky, David %A Sanders, Ashley D. %A H&#246;ps, Wolfram %A Hsieh, PingHsun %A Sulovari, Arvis %A Li, Ruiyang %A Mercuri, Ludovica %A Sorensen, Melanie %A Murali, Shwetha C. %A Gordon, David %A Cantsilieris, Stuart %A Pollen, Alex A. %A Ventura, Mario %A Antonacci, Francesca %A Marschall, Tobias %A Korbel, Jan O. %A Eichler, Evan E. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Recurrent Inversion Toggling and Great Ape Genome Evolution : %G eng %U http://hdl.handle.net/21.11116/0000-0006-A2BE-D %R 10.1038/s41588-020-0646-x %7 2020 %D 2020 %J Nature Genetics %O Nature Genet. %V 52 %N 8 %& 849 %P 849 - 852 %I Nature America, Inc. %C New York, NY %@ false
51. Rautiainen M, Marschall T: GraphAligner: Rapid and Versatile Sequence-to-Graphalignment. Genome Biology 2020, 21.
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@article{Rautiainen2020, TITLE = {{GraphAligner}: {R}apid and Versatile Sequence-to-Graphalignment}, AUTHOR = {Rautiainen, Mikko and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-020-02157-2}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2020}, JOURNAL = {Genome Biology}, VOLUME = {21}, NUMBER = {1}, EID = {253}, }
Endnote
%0 Journal Article %A Rautiainen, Mikko %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T GraphAligner: Rapid and Versatile Sequence-to-Graphalignment : %G eng %U http://hdl.handle.net/21.11116/0000-0007-48FA-F %R 10.1186/s13059-020-02157-2 %7 2020 %D 2020 %J Genome Biology %V 21 %N 1 %Z sequence number: 253 %I BioMed Central Ltd. %C London %@ false
52. Rosser EC, Piper CJM, Matei DE, Blair PA, Rendeiro AF, Orford M, Alber DG, Krausgruber T, Catalan D, Klein N, Manson JJ, Drozdov I, Bock C, Wedderburn LR, Eaton S, Mauri C: Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory B Cells. Cell Metabolism 2020, 31.
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@article{Rosser2020, TITLE = {Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory {B} Cells}, AUTHOR = {Rosser, Elizabeth C. and Piper, Christopher J. M. and Matei, Diana E. and Blair, Paul A. and Rendeiro, Andr{\'e} F. and Orford, Michael and Alber, Dagmar G. and Krausgruber, Thomas and Catalan, Diego and Klein, Nigel and Manson, Jessica J. and Drozdov, Ignat and Bock, Christoph and Wedderburn, Lucy R. and Eaton, Simon and Mauri, Claudia}, LANGUAGE = {eng}, ISSN = {1550-4131}, DOI = {10.1016/j.cmet.2020.03.003}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, MA}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Cell Metabolism}, VOLUME = {31}, NUMBER = {4}, PAGES = {837--851}, EID = {e10}, }
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%0 Journal Article %A Rosser, Elizabeth C. %A Piper, Christopher J. M. %A Matei, Diana E. %A Blair, Paul A. %A Rendeiro, Andr&#233; F. %A Orford, Michael %A Alber, Dagmar G. %A Krausgruber, Thomas %A Catalan, Diego %A Klein, Nigel %A Manson, Jessica J. %A Drozdov, Ignat %A Bock, Christoph %A Wedderburn, Lucy R. %A Eaton, Simon %A Mauri, Claudia %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory B Cells : %G eng %U http://hdl.handle.net/21.11116/0000-0006-97CD-9 %R 10.1016/j.cmet.2020.03.003 %7 2020 %D 2020 %J Cell Metabolism %O Cell Metabolism %V 31 %N 4 %& 837 %P 837 - 851 %Z sequence number: e10 %I Cell Press %C Cambridge, MA %@ false
53. Scherer M, Nazarov PV, Toth R, Sahay S, Kaoma T, Maurer V, Vedeneev N, Plass C, Lengauer T, Walter J, Lutsik P: Reference-free Deconvolution, Visualization and Interpretation of Complex DNA Methylation Data Using DecompPipeline, MeDeCom and FactorViz. Nature Protocols 2020, 15.
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@article{Scherer2020, TITLE = {Reference-free deconvolution, visualization and interpretation of complex {DNA} methylation data using {DecompPipeline}, {MeDeCom} and {FactorViz}}, AUTHOR = {Scherer, Michael and Nazarov, Petr V. and Toth, Reka and Sahay, Shashwat and Kaoma, Tony and Maurer, Valentin and Vedeneev, Nikita and Plass, Christoph and Lengauer, Thomas and Walter, J{\"o}rn and Lutsik, Pavlo}, LANGUAGE = {eng}, ISSN = {1750-2799}, DOI = {10.1038/s41596-020-0369-6}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Nature Protocols}, VOLUME = {15}, PAGES = {3240--3263}, }
Endnote
%0 Journal Article %A Scherer, Michael %A Nazarov, Petr V. %A Toth, Reka %A Sahay, Shashwat %A Kaoma, Tony %A Maurer, Valentin %A Vedeneev, Nikita %A Plass, Christoph %A Lengauer, Thomas %A Walter, J&#246;rn %A Lutsik, Pavlo %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Reference-free Deconvolution, Visualization and Interpretation of Complex DNA Methylation Data Using DecompPipeline, MeDeCom and FactorViz : %G eng %U http://hdl.handle.net/21.11116/0000-0007-2C58-6 %R 10.1038/s41596-020-0369-6 %7 2020 %D 2020 %J Nature Protocols %O Nat. Protoc. %V 15 %& 3240 %P 3240 - 3263 %I Nature Publishing Group %C London, UK %@ false
54. Scherer M, Nebel A, Franke A, Walter J, Lengauer T, Bock C, Müller F, List M: Quantitative Comparison of Within-Sample Heterogeneity Scores for DNA Methylation Data. Nucleic Acids Research (London) 2020, 48.
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@article{Scherer2020b, TITLE = {Quantitative comparison of within-sample heterogeneity scores for {DNA} methylation data}, AUTHOR = {Scherer, Michael and Nebel, Almut and Franke, Andre and Walter, J{\"o}rn and Lengauer, Thomas and Bock, Christoph and M{\"u}ller, Fabian and List, Markus}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkaa120}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Nucleic Acids Research (London)}, VOLUME = {48}, NUMBER = {8}, EID = {e46}, }
Endnote
%0 Journal Article %A Scherer, Michael %A Nebel, Almut %A Franke, Andre %A Walter, J&#246;rn %A Lengauer, Thomas %A Bock, Christoph %A M&#252;ller, Fabian %A List, Markus %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Quantitative Comparison of Within-Sample Heterogeneity Scores for DNA Methylation Data : %G eng %U http://hdl.handle.net/21.11116/0000-0006-95B9-1 %R 10.1093/nar/gkaa120 %2 PMC7192612 %7 2020 %D 2020 %J Nucleic Acids Research (London) %O Nucleic Acids Res %V 48 %N 8 %Z sequence number: e46 %I Oxford University Press %C Oxford %@ false
55. Schmidt F, Kern F, Schulz MH: Integrative Prediction of Gene Expression with Chromatin Accessibility and Conformation Data. Epigenetics & Chromatin 2020, 13.
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@article{Schmidt_Kern_Schulz2020, TITLE = {Integrative Prediction of Gene Expression with Chromatin Accessibility and Conformation Data}, AUTHOR = {Schmidt, Florian and Kern, Fabian and Schulz, Marcel Holger}, LANGUAGE = {eng}, DOI = {10.1186/s13072-020-0327-0}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2020}, JOURNAL = {Epigenetics \& Chromatin}, VOLUME = {13}, EID = {4}, }
Endnote
%0 Journal Article %A Schmidt, Florian %A Kern, Fabian %A Schulz, Marcel Holger %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrative Prediction of Gene Expression with Chromatin Accessibility and Conformation Data : %G eng %U http://hdl.handle.net/21.11116/0000-0006-8E63-B %R 10.1186/s13072-020-0327-0 %2 PMC7003490 %7 2020 %D 2020 %J Epigenetics & Chromatin %V 13 %Z sequence number: 4 %I BioMed Central %C London
56. Schrinner SD, Mari RS, Ebler J, Rautiainen M, Seillier L, Reimer JJ, Usadel B, Marschall T, Klau GW: Haplotype Threading: Accurate Polyploid Phasing from Long Reads. Genome Biology 2020, 21.
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@article{Schrinner2020, TITLE = {Haplotype threading: {A}ccurate polyploid phasing from long reads}, AUTHOR = {Schrinner, Sven D. and Mari, Rebecca Serra and Ebler, Jana and Rautiainen, Mikko and Seillier, Lancelot and Reimer, Julia J. and Usadel, Bjoern and Marschall, Tobias and Klau, Gunnar W.}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-020-02158-1}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2020}, JOURNAL = {Genome Biology}, VOLUME = {21}, NUMBER = {1}, EID = {252}, }
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%0 Journal Article %A Schrinner, Sven D. %A Mari, Rebecca Serra %A Ebler, Jana %A Rautiainen, Mikko %A Seillier, Lancelot %A Reimer, Julia J. %A Usadel, Bjoern %A Marschall, Tobias %A Klau, Gunnar W. %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Haplotype Threading: Accurate Polyploid Phasing from Long Reads : %G eng %U http://hdl.handle.net/21.11116/0000-0007-3619-1 %R 10.1186/s13059-020-02158-1 %7 2020 %D 2020 %J Genome Biology %V 21 %N 1 %Z sequence number: 252 %I BioMed Central Ltd. %C London %@ false
57. Shafin K, Pesout T, Lorig-Roach R, Haukness M, Olsen HE, Bosworth C, Armstrong J, Tigyi K, Maurer N, Koren S, Sedlazeck FJ, Marschall T, Mayes S, Costa V, Zook JM, Liu KJ, Kilburn D, Sorensen M, Munson KM, Vollger MR, Monlong J, Garrison E, Eichler EE, Salama S, Haussler D, Green RE, Akeson M, Phillippy A, Miga KH, Carnevali P, et al.: Nanopore Sequencing and the Shasta Toolkit Enable Efficient de novo Assembly of Eleven Human Genomes. Nature Biotechnology 2020, 38.
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@article{Shafin2020, TITLE = {Nanopore sequencing and the {Shasta} toolkit enable efficient de novo assembly of eleven human genomes}, AUTHOR = {Shafin, Kishwar and Pesout, Trevor and Lorig-Roach, Ryan and Haukness, Marina and Olsen, Hugh E. and Bosworth, Colleen and Armstrong, Joel and Tigyi, Kristof and Maurer, Nicholas and Koren, Sergey and Sedlazeck, Fritz J. and Marschall, Tobias and Mayes, Simon and Costa, Vania and Zook, Justin M. and Liu, Kelvin J. and Kilburn, Duncan and Sorensen, Melanie and Munson, Katy M. and Vollger, Mitchell R. and Monlong, Jean and Garrison, Erik and Eichler, Evan E. and Salama, Sofie and Haussler, David and Green, Richard E. and Akeson, Mark and Phillippy, Adam and Miga, Karen H. and Carnevali, Paolo and Jain, Miten and Paten, Benedict}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/s41587-020-0503-6}, PUBLISHER = {Gale Group Inc.}, ADDRESS = {New York}, YEAR = {2020}, JOURNAL = {Nature Biotechnology}, VOLUME = {38}, PAGES = {1044--1053}, }
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%0 Journal Article %A Shafin, Kishwar %A Pesout, Trevor %A Lorig-Roach, Ryan %A Haukness, Marina %A Olsen, Hugh E. %A Bosworth, Colleen %A Armstrong, Joel %A Tigyi, Kristof %A Maurer, Nicholas %A Koren, Sergey %A Sedlazeck, Fritz J. %A Marschall, Tobias %A Mayes, Simon %A Costa, Vania %A Zook, Justin M. %A Liu, Kelvin J. %A Kilburn, Duncan %A Sorensen, Melanie %A Munson, Katy M. %A Vollger, Mitchell R. %A Monlong, Jean %A Garrison, Erik %A Eichler, Evan E. %A Salama, Sofie %A Haussler, David %A Green, Richard E. %A Akeson, Mark %A Phillippy, Adam %A Miga, Karen H. %A Carnevali, Paolo %A Jain, Miten %A Paten, Benedict %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Nanopore Sequencing and the Shasta Toolkit Enable Efficient de novo Assembly of Eleven Human Genomes : %G eng %U http://hdl.handle.net/21.11116/0000-0006-8DD2-E %R 10.1038/s41587-020-0503-6 %7 2020 %D 2020 %J Nature Biotechnology %V 38 %& 1044 %P 1044 - 1053 %I Gale Group Inc. %C New York %@ false
58. Shanta O, Noor A, Sebat J, Chaisson MJP, Sanders AD, Zhao X, Malhotra A, Porubsky D, Rausch T, Gardner EJ, Rodriguez OL, Guo L, Collins RL, Fan X, Wen J, Handsaker RE, Fairley S, Kronenberg ZN, Kong X, Hormozdiari F, Lee D, Wenger AM, Hastie AR, Antaki D, Anantharaman T, Audano PA, Brand H, Cantsilieris S, Cao H, Cerveira E, et al.: The Effects of Common Structural Variants on 3D Chromatin Structure. BMC Genomics 2020, 21.
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@article{Shanta2020, TITLE = {The Effects of Common Structural Variants on {3D} Chromatin Structure}, AUTHOR = {Shanta, Omar and Noor, Amina and Sebat, Jonathan and Chaisson, Mark J. P. and Sanders, Ashley D. and Zhao, Xuefang and Malhotra, Ankit and Porubsky, David and Rausch, Tobias and Gardner, Eugene J. and Rodriguez, Oscar L. and Guo, Li and Collins, Ryan L. and Fan, Xian and Wen, Jia and Handsaker, Robert E. and Fairley, Susan and Kronenberg, Zev N. and Kong, Xiangmeng and Hormozdiari, Fereydoun and Lee, Dillon and Wenger, Aaron M. and Hastie, Alex R. and Antaki, Danny and Anantharaman, Thomas and Audano, Peter A. and Brand, Harrison and Cantsilieris, Stuart and Cao, Han and Cerveira, Eliza and Chen, Chong and Chen, Xintong and Chin, Chen-Shan and Chong, Zechen and Chuang, Nelson T. and Lambert, Christine C. and Church, Deanna M. and Clarke, Laura and Farrell, Andrew and Flores, Joey and Galeey, Timur and Gujral, Madhusudan and Guryev, Victor and Heaton, William Haynes and Korlach, Jonas and Kumar, Sushant and Kwon, Jee Young and Lam, Ernest T. and Lee, Jong Eun and Lee, Joyce and Lee, Wan-Ping and Lee, Sau Peng and Li, Shantao and Marks, Patrick and Viaud-Martinez, Karine and Meiers, Sascha and Munson, Katherine M. and Navarro, Fabio C. P. and Nelson, Bradley J. and Nodzak, Conor and Kyriazopoulou-Panagiotopoulou, Sofia and Pang, Andy W. C. and Rosanio, Gabriel and Ryan, Mallory and Stuetz, Adrian and Spierings, Diana C. J. and Ward, Alistair and Welch, Anne Marie E. and Xiao, Ming and Xu, Wei and Zhang, Chengsheng and Zhu, Qihui and Zheng-Bradley, Xiangqun and Lowy, Ernesto and Yakneen, Sergei and McCarroll, Steven and Jun, Goo and Ding, Li and Koh, Chong Lek and Flicek, Paul and Chen, Ken and Gerstein, Mark B. and Kwok, Pui-Yan and Lansdorp, Peter M. and Marth, Gabor T. and Shi, Xinghua and Bashir, Ali and Ye, Kai and Devine, Scott E. and Talkowski, Michael E. and Mills, Ryan E. and Marschall, Tobias and Korbel, Jan O. and Eichler, Evan E. and Lee, Charles and {HGSVC}}, LANGUAGE = {eng}, ISSN = {1471-2164}, DOI = {10.1186/s12864-020-6516-1}, PUBLISHER = {BioMed Central}, YEAR = {2020}, JOURNAL = {BMC Genomics}, VOLUME = {21}, NUMBER = {1}, EID = {95}, }
Endnote
%0 Journal Article %A Shanta, Omar %A Noor, Amina %A Sebat, Jonathan %A Chaisson, Mark J. P. %A Sanders, Ashley D. %A Zhao, Xuefang %A Malhotra, Ankit %A Porubsky, David %A Rausch, Tobias %A Gardner, Eugene J. %A Rodriguez, Oscar L. %A Guo, Li %A Collins, Ryan L. %A Fan, Xian %A Wen, Jia %A Handsaker, Robert E. %A Fairley, Susan %A Kronenberg, Zev N. %A Kong, Xiangmeng %A Hormozdiari, Fereydoun %A Lee, Dillon %A Wenger, Aaron M. %A Hastie, Alex R. %A Antaki, Danny %A Anantharaman, Thomas %A Audano, Peter A. %A Brand, Harrison %A Cantsilieris, Stuart %A Cao, Han %A Cerveira, Eliza %A Chen, Chong %A Chen, Xintong %A Chin, Chen-Shan %A Chong, Zechen %A Chuang, Nelson T. %A Lambert, Christine C. %A Church, Deanna M. %A Clarke, Laura %A Farrell, Andrew %A Flores, Joey %A Galeey, Timur %A Gujral, Madhusudan %A Guryev, Victor %A Heaton, William Haynes %A Korlach, Jonas %A Kumar, Sushant %A Kwon, Jee Young %A Lam, Ernest T. %A Lee, Jong Eun %A Lee, Joyce %A Lee, Wan-Ping %A Lee, Sau Peng %A Li, Shantao %A Marks, Patrick %A Viaud-Martinez, Karine %A Meiers, Sascha %A Munson, Katherine M. %A Navarro, Fabio C. P. %A Nelson, Bradley J. %A Nodzak, Conor %A Kyriazopoulou-Panagiotopoulou, Sofia %A Pang, Andy W. C. %A Rosanio, Gabriel %A Ryan, Mallory %A Stuetz, Adrian %A Spierings, Diana C. J. %A Ward, Alistair %A Welch, Anne Marie E. %A Xiao, Ming %A Xu, Wei %A Zhang, Chengsheng %A Zhu, Qihui %A Zheng-Bradley, Xiangqun %A Lowy, Ernesto %A Yakneen, Sergei %A McCarroll, Steven %A Jun, Goo %A Ding, Li %A Koh, Chong Lek %A Flicek, Paul %A Chen, Ken %A Gerstein, Mark B. %A Kwok, Pui-Yan %A Lansdorp, Peter M. %A Marth, Gabor T. %A Shi, Xinghua %A Bashir, Ali %A Ye, Kai %A Devine, Scott E. %A Talkowski, Michael E. %A Mills, Ryan E. %A Marschall, Tobias %A Korbel, Jan O. %A Eichler, Evan E. %A Lee, Charles %A HGSVC, %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T The Effects of Common Structural Variants on 3D Chromatin Structure : %G eng %U http://hdl.handle.net/21.11116/0000-0006-8E73-9 %R 10.1186/s12864-020-6516-1 %7 2020 %D 2020 %J BMC Genomics %V 21 %N 1 %Z sequence number: 95 %I BioMed Central %@ false
59. Srikakulam SK, Bastys T, Kalinina OV: A Shift of Dynamic Equilibrium between the KIT Active and Inactive States Causes Drug Resistance. Proteins: Structure, Function, and Bioinformatics 2020, 88.
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@article{Srikakulam2020, TITLE = {A shift of dynamic equilibrium between the {KIT} active and inactive states causes drug resistance}, AUTHOR = {Srikakulam, Sanjay K. and Bastys, Tomas and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {0887-3585}, DOI = {10.1002/prot.25963}, PUBLISHER = {John Wiley \& Sons}, ADDRESS = {New York, NY}, YEAR = {2020}, JOURNAL = {Proteins: Structure, Function, and Bioinformatics}, VOLUME = {88}, NUMBER = {11}, PAGES = {1434--1446}, }
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%0 Journal Article %A Srikakulam, Sanjay K. %A Bastys, Tomas %A Kalinina, Olga V. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T A Shift of Dynamic Equilibrium between the KIT Active and Inactive States Causes Drug Resistance : %G eng %U http://hdl.handle.net/21.11116/0000-0006-B96C-1 %R 10.1002/prot.25963 %7 2020 %D 2020 %J Proteins: Structure, Function, and Bioinformatics %V 88 %N 11 %& 1434 %P 1434 - 1446 %I John Wiley & Sons %C New York, NY %@ false
60. Swoboda A, Soukup R, Eckel O, Kinslechner K, Wingelhofer B, Schoerghofer D, Sternberg C, Pham HTT, Vallianou M, Horvath J, Stoiber D, Kenner L, Larue L, Poli V, Beermann F, Yokota T, Kubicek S, Krausgruber T, Rendeiro AF, Bock C, Zenz R, Kovacic B, Aberger F, Hengstschlaeger M, Petzelbauer P, Mikula M, Moriggl R: STAT3 Promotes Melanoma Metastasis by CEBP-induced Repression of the MITF Pathway. Oncogene 2020.
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@article{Swoboda2020, TITLE = {{STAT3} promotes melanoma metastasis by {CEBP}-induced repression of the {MITF} pathway}, AUTHOR = {Swoboda, Alexander and Soukup, Robert and Eckel, Oliver and Kinslechner, Katharina and Wingelhofer, Bettina and Schoerghofer, David and Sternberg, Christina and Pham, Ha T. T. and Vallianou, Maria and Horvath, Jaqueline and Stoiber, Dagmar and Kenner, Lukas and Larue, Lionel and Poli, Valeria and Beermann, Friedrich and Yokota, Takashi and Kubicek, Stefan and Krausgruber, Thomas and Rendeiro, Andre F. and Bock, Christoph and Zenz, Rainer and Kovacic, Boris and Aberger, Fritz and Hengstschlaeger, Markus and Petzelbauer, Peter and Mikula, Mario and Moriggl, Richard}, LANGUAGE = {eng}, ISSN = {1476-5594}, DOI = {10.1038/s41388-020-01584-6}, PUBLISHER = {NPG}, ADDRESS = {New York, NY}, YEAR = {2020}, JOURNAL = {Oncogene}, }
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%0 Journal Article %A Swoboda, Alexander %A Soukup, Robert %A Eckel, Oliver %A Kinslechner, Katharina %A Wingelhofer, Bettina %A Schoerghofer, David %A Sternberg, Christina %A Pham, Ha T. T. %A Vallianou, Maria %A Horvath, Jaqueline %A Stoiber, Dagmar %A Kenner, Lukas %A Larue, Lionel %A Poli, Valeria %A Beermann, Friedrich %A Yokota, Takashi %A Kubicek, Stefan %A Krausgruber, Thomas %A Rendeiro, Andre F. %A Bock, Christoph %A Zenz, Rainer %A Kovacic, Boris %A Aberger, Fritz %A Hengstschlaeger, Markus %A Petzelbauer, Peter %A Mikula, Mario %A Moriggl, Richard %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T STAT3 Promotes Melanoma Metastasis by CEBP-induced Repression of the MITF Pathway : %G eng %U http://hdl.handle.net/21.11116/0000-0007-A6A2-6 %R 10.1038/s41388-020-01584-6 %7 2020 %D 2020 %J Oncogene %I NPG %C New York, NY %@ false
61. Szymczak S, Dose J, Torres GG, Heinsen F-A, Venkatesh G, Datlinger P, Nygaard M, Mengel-From J, Flachsbart F, Klapper W, Christensen K, Lieb W, Schreiber S, Häsler R, Bock C, Franke A, Nebel A: DNA Methylation QTL Analysis Identifies New Regulators of Human Longevity. Human Molecular Genetics 2020, 29.
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@article{Szymczak2020, TITLE = {{DNA} methylation {QTL} analysis identifies new regulators of human longevity}, AUTHOR = {Szymczak, Silke and Dose, Janina and Torres, Guillermo G. and Heinsen, Femke-Anouska and Venkatesh, Geetha and Datlinger, Paul and Nygaard, Marianne and Mengel-From, Jonas and Flachsbart, Friederike and Klapper, Wolfram and Christensen, Kaare and Lieb, Wolfgang and Schreiber, Stefan and H{\"a}sler, Robert and Bock, Christoph and Franke, Andre and Nebel, Almut}, LANGUAGE = {eng}, ISSN = {0964-6906}, DOI = {10.1093/hmg/ddaa033}, PUBLISHER = {IRL Press}, ADDRESS = {Oxford, England}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Human Molecular Genetics}, VOLUME = {29}, NUMBER = {7}, PAGES = {1154--1167}, }
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%0 Journal Article %A Szymczak, Silke %A Dose, Janina %A Torres, Guillermo G. %A Heinsen, Femke-Anouska %A Venkatesh, Geetha %A Datlinger, Paul %A Nygaard, Marianne %A Mengel-From, Jonas %A Flachsbart, Friederike %A Klapper, Wolfram %A Christensen, Kaare %A Lieb, Wolfgang %A Schreiber, Stefan %A H&#228;sler, Robert %A Bock, Christoph %A Franke, Andre %A Nebel, Almut %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T DNA Methylation QTL Analysis Identifies New Regulators of Human Longevity : %G eng %U http://hdl.handle.net/21.11116/0000-0006-A277-D %R 10.1093/hmg/ddaa033 %2 PMC7206852 %7 2020 %D 2020 %J Human Molecular Genetics %V 29 %N 7 %& 1154 %P 1154 - 1167 %I IRL Press %C Oxford, England %@ false
62. Ulz P, Perakis S, Zhou Q, Moser T, Belic J, Lazzeri I, Woelfler A, Zebisch A, Gerger A, Pristauz G, Petru E, White B, Roberts CES, St Johns J, Schimek MG, Geigl JB, Bauernhofer T, Sill H, Bock C, Heitzer E, Speicher MR: Publisher Correction: Inference of Transcription Factor Binding from Cell-free DNA Enables Tumor Subtype Prediction and Early Detection. Nature Communications 2020, 11.
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@article{Ulz_2020, TITLE = {Publisher Correction: {Inference} of Transcription Factor Binding from Cell-free {DNA} Enables Tumor Subtype Prediction and Early Detection}, AUTHOR = {Ulz, Peter and Perakis, Samantha and Zhou, Qing and Moser, Tina and Belic, Jelena and Lazzeri, Isaac and Woelfler, Albert and Zebisch, Armin and Gerger, Armin and Pristauz, Gunda and Petru, Edgar and White, Brandon and Roberts, Charles E. S. and St Johns, John and Schimek, Michael G. and Geigl, Jochen B. and Bauernhofer, Thomas and Sill, Heinz and Bock, Christoph and Heitzer, Ellen and Speicher, Michael R.}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-020-15799-4}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2020}, DATE = {2020}, JOURNAL = {Nature Communications}, VOLUME = {11}, EID = {1965}, }
Endnote
%0 Journal Article %A Ulz, Peter %A Perakis, Samantha %A Zhou, Qing %A Moser, Tina %A Belic, Jelena %A Lazzeri, Isaac %A Woelfler, Albert %A Zebisch, Armin %A Gerger, Armin %A Pristauz, Gunda %A Petru, Edgar %A White, Brandon %A Roberts, Charles E. S. %A St Johns, John %A Schimek, Michael G. %A Geigl, Jochen B. %A Bauernhofer, Thomas %A Sill, Heinz %A Bock, Christoph %A Heitzer, Ellen %A Speicher, Michael R. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Publisher Correction: Inference of Transcription Factor Binding from Cell-free DNA Enables Tumor Subtype Prediction and Early Detection : %G eng %U http://hdl.handle.net/21.11116/0000-0006-99C3-1 %R 10.1038/s41467-020-15799-4 %2 PMC7170910 %7 2020 %D 2020 %J Nature Communications %O Nat. Commun. %V 11 %Z sequence number: 1965 %I Nature Publishing Group %C London %@ false
2019
63. Ahmad M, Helms V, Kalinina OV, Lengauer T: Relative Principal Components Analysis: Application to Analyzing Biomolecular Conformational Changes. Journal of Chemical Theory and Computation 2019, 15.
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@article{Ahmad2019, TITLE = {Relative Principal Components Analysis: {A}pplication to Analyzing Biomolecular Conformational Changes}, AUTHOR = {Ahmad, Mazen and Helms, Volkhard and Kalinina, Olga V. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9618}, DOI = {10.1021/acs.jctc.8b01074}, PUBLISHER = {ACM}, ADDRESS = {Washington, D.C.}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Journal of Chemical Theory and Computation}, VOLUME = {15}, NUMBER = {4}, PAGES = {2166--2178}, }
Endnote
%0 Journal Article %A Ahmad, Mazen %A Helms, Volkhard %A Kalinina, Olga V. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Relative Principal Components Analysis: Application to Analyzing Biomolecular Conformational Changes : %G eng %U http://hdl.handle.net/21.11116/0000-0003-8671-6 %R 10.1021/acs.jctc.8b01074 %2 PMC6728065 %7 2019 %D 2019 %J Journal of Chemical Theory and Computation %O J. Chem. Theory Comput. %V 15 %N 4 %& 2166 %P 2166 - 2178 %I ACM %C Washington, D.C. %@ false
64. Albrecht F: Analyzing Epigenomic Data in a Large-Scale Context. Universität des Saarlandes; 2019.
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@phdthesis{Albrechtdiss2019, TITLE = {Analyzing Epigenomic Data in a Large-Scale Context}, AUTHOR = {Albrecht, Felipe}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-300644}, DOI = {10.22028/D291-30064}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2019}, DATE = {2019}, }
Endnote
%0 Thesis %A Albrecht, Felipe %Y Lengauer, Thomas %A referee: Helms, Volkhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Analyzing Epigenomic Data in a Large-Scale Context : %G eng %U http://hdl.handle.net/21.11116/0000-0007-714A-7 %R 10.22028/D291-30064 %U urn:nbn:de:bsz:291--ds-300644 %F OTHER: hdl:20.500.11880/28473 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2019 %P 240 p. %V phd %9 phd %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/28473
65. Behjati Ardakani F, Schmidt F, Schulz MH: Predicting Transcription Factor Binding Using Ensemble Random Forest Models. Faculty of 1000 Research 2019, 7.
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@article{Behjati2019, TITLE = {Predicting Transcription Factor Binding Using Ensemble Random Forest Models}, AUTHOR = {Behjati Ardakani, Fatemeh and Schmidt, Florian and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {2046-1402}, DOI = {10.12688/f1000research.16200.2}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2019}, JOURNAL = {Faculty of 1000 Research}, VOLUME = {7}, EID = {1603}, }
Endnote
%0 Journal Article %A Behjati Ardakani, Fatemeh %A Schmidt, Florian %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting Transcription Factor Binding Using Ensemble Random Forest Models : %G eng %U http://hdl.handle.net/21.11116/0000-0005-69DC-E %R 10.12688/f1000research.16200.2 %7 2019 %D 2019 %J Faculty of 1000 Research %O F1000Research %V 7 %Z sequence number: 1603 %I BioMed Central %C London %@ false
66. Blum A, Khalifa S, Nordstroem K, Simon M, Schulz MH, Schmitt MJ: Transcriptomics of a KDELR1 Knockout Cell Line Reveals Modulated Cell Adhesion Properties. Scientific Reports 2019, 9.
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@article{Blum2019, TITLE = {Transcriptomics of a {KDELR1} Knockout Cell Line Reveals Modulated Cell Adhesion Properties}, AUTHOR = {Blum, Andrea and Khalifa, Saleem and Nordstroem, Karl and Simon, Martin and Schulz, Marcel Holger and Schmitt, Manfred J.}, LANGUAGE = {eng}, ISSN = {2045-2322}, DOI = {10.1038/s41598-019-47027-5}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2019}, JOURNAL = {Scientific Reports}, VOLUME = {9}, EID = {10611}, }
Endnote
%0 Journal Article %A Blum, Andrea %A Khalifa, Saleem %A Nordstroem, Karl %A Simon, Martin %A Schulz, Marcel Holger %A Schmitt, Manfred J. %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Transcriptomics of a KDELR1 Knockout Cell Line Reveals Modulated Cell Adhesion Properties : %G eng %U http://hdl.handle.net/21.11116/0000-0004-8320-3 %R 10.1038/s41598-019-47027-5 %7 2019 %D 2019 %J Scientific Reports %O Sci. Rep. %V 9 %Z sequence number: 10611 %I Nature Publishing Group %C London, UK %@ false
67. Chaisson MJP, Sanders AD, Zhao X, Malhotra A, Porubsky D, Rausch T, Gardner EJ, Rodriguez OL, Guo L, Collins RL, Fan X, Wen J, Handsaker RE, Fairley S, Kronenberg ZN, Kong X, Hormozdiari F, Lee D, Wenger AM, Hastie AR, Antaki D, Anantharaman T, Audano PA, Brand H, Cantsilieris S, Cao H, Cerveira E, Chen C, Chen X, Chin C-S, et al.: Multi-platform Discovery of Haplotype-resolved Structural Variation in Human Genomes. Nature Communications 2019, 10.
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@article{Chaisson2019, TITLE = {Multi-platform Discovery of Haplotype-resolved Structural Variation in Human Genomes}, AUTHOR = {Chaisson, Mark J. P. and Sanders, Ashley D. and Zhao, Xuefang and Malhotra, Ankit and Porubsky, David and Rausch, Tobias and Gardner, Eugene J. and Rodriguez, Oscar L. and Guo, Li and Collins, Ryan L. and Fan, Xian and Wen, Jia and Handsaker, Robert E. and Fairley, Susan and Kronenberg, Zev N. and Kong, Xiangmeng and Hormozdiari, Fereydoun and Lee, Dillon and Wenger, Aaron M. and Hastie, Alex R. and Antaki, Danny and Anantharaman, Thomas and Audano, Peter A. and Brand, Harrison and Cantsilieris, Stuart and Cao, Han and Cerveira, Eliza and Chen, Chong and Chen, Xintong and Chin, Chen-Shan and Chong, Zechen and Chuang, Nelson T. and Lambert, Christine C. and Church, Deanna M. and Clarke, Laura and Farrell, Andrew and Flores, Joey and Galeev, Timur and Gorkin, David U. and Gujral, Madhusudan and Guryev, Victor and Heaton, William Haynes and Korlach, Jonas and Kumar, Sushant and Kwon, Jee Young and Lam, Ernest T. and Lee, Jong Eun and Lee, Joyce and Lee, Wan-Ping and Lee, Sau Peng and Li, Shantao and Marks, Patrick and Viaud-Martinez, Karine and Meiers, Sascha and Munson, Katherine M. and Navarro, Fabio C. P. and Nelson, Bradley J. and Nodzak, Conor and Noor, Amina and Kyriazopoulou-Panagiotopoulou, Sofia and Pang, Andy W. C. and Qiu, Yunjiang and Rosanio, Gabriel and Ryan, Mallory and Stuetz, Adrian and Spierings, Diana C. J. and Ward, Alistair and Welch, AnneMarie E. and Xiao, Ming and Xu, Wei and Zhang, Chengsheng and Zhu, Qihui and Zheng-Bradley, Xiangqun and Lowy, Ernesto and Yakneen, Sergei and McCarroll, Steven and Jun, Goo and Ding, Li and Koh, Chong Lek and Ren, Bing and Flicek, Paul and Chen, Ken and Gerstein, Mark B. and Kwok, Pui-Yan and Lansdorp, Peter M. and Marth, Gabor T. and Sebat, Jonathan and Shi, Xinghua and Bashir, Ali and Ye, Kai and Devine, Scott E. and Talkowski, Michael E. and Mills, Ryan E. and Marschall, Tobias and Korbel, Jan O. and Eichler, Evan E. and Lee, Charles}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-018-08148-z}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2019}, JOURNAL = {Nature Communications}, VOLUME = {10}, EID = {1784}, }
Endnote
%0 Journal Article %A Chaisson, Mark J. P. %A Sanders, Ashley D. %A Zhao, Xuefang %A Malhotra, Ankit %A Porubsky, David %A Rausch, Tobias %A Gardner, Eugene J. %A Rodriguez, Oscar L. %A Guo, Li %A Collins, Ryan L. %A Fan, Xian %A Wen, Jia %A Handsaker, Robert E. %A Fairley, Susan %A Kronenberg, Zev N. %A Kong, Xiangmeng %A Hormozdiari, Fereydoun %A Lee, Dillon %A Wenger, Aaron M. %A Hastie, Alex R. %A Antaki, Danny %A Anantharaman, Thomas %A Audano, Peter A. %A Brand, Harrison %A Cantsilieris, Stuart %A Cao, Han %A Cerveira, Eliza %A Chen, Chong %A Chen, Xintong %A Chin, Chen-Shan %A Chong, Zechen %A Chuang, Nelson T. %A Lambert, Christine C. %A Church, Deanna M. %A Clarke, Laura %A Farrell, Andrew %A Flores, Joey %A Galeev, Timur %A Gorkin, David U. %A Gujral, Madhusudan %A Guryev, Victor %A Heaton, William Haynes %A Korlach, Jonas %A Kumar, Sushant %A Kwon, Jee Young %A Lam, Ernest T. %A Lee, Jong Eun %A Lee, Joyce %A Lee, Wan-Ping %A Lee, Sau Peng %A Li, Shantao %A Marks, Patrick %A Viaud-Martinez, Karine %A Meiers, Sascha %A Munson, Katherine M. %A Navarro, Fabio C. P. %A Nelson, Bradley J. %A Nodzak, Conor %A Noor, Amina %A Kyriazopoulou-Panagiotopoulou, Sofia %A Pang, Andy W. C. %A Qiu, Yunjiang %A Rosanio, Gabriel %A Ryan, Mallory %A Stuetz, Adrian %A Spierings, Diana C. J. %A Ward, Alistair %A Welch, AnneMarie E. %A Xiao, Ming %A Xu, Wei %A Zhang, Chengsheng %A Zhu, Qihui %A Zheng-Bradley, Xiangqun %A Lowy, Ernesto %A Yakneen, Sergei %A McCarroll, Steven %A Jun, Goo %A Ding, Li %A Koh, Chong Lek %A Ren, Bing %A Flicek, Paul %A Chen, Ken %A Gerstein, Mark B. %A Kwok, Pui-Yan %A Lansdorp, Peter M. %A Marth, Gabor T. %A Sebat, Jonathan %A Shi, Xinghua %A Bashir, Ali %A Ye, Kai %A Devine, Scott E. %A Talkowski, Michael E. %A Mills, Ryan E. %A Marschall, Tobias %A Korbel, Jan O. %A Eichler, Evan E. %A Lee, Charles %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Multi-platform Discovery of Haplotype-resolved Structural Variation in Human Genomes : %G eng %U http://hdl.handle.net/21.11116/0000-0003-865E-D %R 10.1038/s41467-018-08148-z %7 2019 %D 2019 %J Nature Communications %O Nat. Commun. %V 10 %Z sequence number: 1784 %I Nature Publishing Group %C London %@ false
68. De Luca A, Pezzotti P, Boucher C, Döring M, Incardona F, Kaiser R, Lengauer T, Pfeifer N, Schülter E, Vandamme A-M, Zazzi M, Geretti AM: Clinical Use, Efficacy, and Durability of Maraviroc for Antiretroviral Therapy in Routine Care: A European Survey. PLoS One 2019, 11.
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@article{DeLuca_2019, TITLE = {Clinical Use, Efficacy, and Durability of Maraviroc for Antiretroviral Therapy in Routine Care: {A} European Survey}, AUTHOR = {De Luca, Andrea and Pezzotti, Patrizio and Boucher, Charles and D{\"o}ring, Matthias and Incardona, Francesca and Kaiser, Rolf and Lengauer, Thomas and Pfeifer, Nico and Sch{\"u}lter, Eugen and Vandamme, Anne-Mieke and Zazzi, Maurizio and Geretti, Anna Maria and {EucoHIV Study Group}}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0225381}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2019}, JOURNAL = {PLoS One}, VOLUME = {11}, NUMBER = {14}, EID = {e0225381}, }
Endnote
%0 Journal Article %A De Luca, Andrea %A Pezzotti, Patrizio %A Boucher, Charles %A D&#246;ring, Matthias %A Incardona, Francesca %A Kaiser, Rolf %A Lengauer, Thomas %A Pfeifer, Nico %A Sch&#252;lter, Eugen %A Vandamme, Anne-Mieke %A Zazzi, Maurizio %A Geretti, Anna Maria %A EucoHIV Study Group, %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Clinical Use, Efficacy, and Durability of Maraviroc for Antiretroviral Therapy in Routine Care: A European Survey : %G eng %U http://hdl.handle.net/21.11116/0000-0005-4921-4 %R 10.1371/journal.pone.0225381 %2 PMC6874206 %7 2019 %D 2019 %J PLoS One %V 11 %N 14 %Z sequence number: e0225381 %I Public Library of Science %C San Francisco, CA %@ false
69. Dheghani Amirabad A: From genes to transcripts : integrative modeling and analysis of regulatory networks. Universität des Saarlandes; 2019.
Abstract
Although all the cells in an organism posses the same genome, the regulatory mechanisms lead to highly specific cell types. Elucidating these regulatory mechanisms is a great challenge in systems biology research. Nonetheless, it is known that a large fraction of our genome is comprised of regulatory elements, the precise mechanisms by which different combinations of regulatory elements are involved in controlling gene expression and cell identity are poorly understood. This thesis describes algorithms and approaches for modeling and analysis of different modes of gene regulation. We present POSTIT a novel algorithm for modeling and inferring transcript isoform regulation from transcriptomics and epigenomics data. POSTIT uses multi-task learning with structured-sparsity inducing regularizer to share the regulatory information between isoforms of a gene, which is shown to lead to accurate isoform expression prediction and inference of regulators. Furthermore, it can use isoform expression level and annotation as informative priors for gene expression prediction. Hence, it constitute a novel accurate approach applicable to gene or transcript isoform centric analysis using expression data. In an application to microRNA (miRNA) target prioritization, we demonstrate that it out-competes classical gene centric methods. Moreover, pinpoints important transcription factors and miRNAs that regulate differentially expressed isoforms in any biological system. Competing endogenous RNA (ceRNA) interactions mediated by miRNAs were postulated as an important cellular regulatory network, in which cross-talk between different transcripts involves competition for joint regulators. We developed a novel statistical method, called SPONGE, for large-scale inference of ceRNA networks. In this framework, we designed an efficient empirical p-value computation approach, by sampling from derived null models, which addresses important confounding factors such as sample size, number of involved regulators and strength of correlation. In an application to a large pan-cancer dataset with 31 cancers we discovered protein-coding and non-coding RNAs that are generic ceRNAs in cancer. Finally, we present an integrative analysis of miRNA and protein-based posttranscriptional regulation. We postulate a competitive regulation of the RNAbinding protein IMP2 with miRNAs binding the same RNAs using expression and RNA binding data. This function of IMP2 is relevant in the contribution to disease in the context of adult cellular metabolism. As a summary, in this thesis we have presented a number of different novel approaches for inference and the integrative analysis of regulatory networks that we believe will find wide applicability in the biological sciences.
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@phdthesis{Dehghaniphd2019, TITLE = {From genes to transcripts : integrative modeling and analysis of regulatory networks}, AUTHOR = {Dheghani Amirabad, Azim}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-286598}, DOI = {10.22028/D291-28659}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2019}, DATE = {2019}, ABSTRACT = {Although all the cells in an organism posses the same genome, the regulatory mechanisms lead to highly specific cell types. Elucidating these regulatory mechanisms is a great challenge in systems biology research. Nonetheless, it is known that a large fraction of our genome is comprised of regulatory elements, the precise mechanisms by which different combinations of regulatory elements are involved in controlling gene expression and cell identity are poorly understood. This thesis describes algorithms and approaches for modeling and analysis of different modes of gene regulation. We present POSTIT a novel algorithm for modeling and inferring transcript isoform regulation from transcriptomics and epigenomics data. POSTIT uses multi-task learning with structured-sparsity inducing regularizer to share the regulatory information between isoforms of a gene, which is shown to lead to accurate isoform expression prediction and inference of regulators. Furthermore, it can use isoform expression level and annotation as informative priors for gene expression prediction. Hence, it constitute a novel accurate approach applicable to gene or transcript isoform centric analysis using expression data. In an application to microRNA (miRNA) target prioritization, we demonstrate that it out-competes classical gene centric methods. Moreover, pinpoints important transcription factors and miRNAs that regulate differentially expressed isoforms in any biological system. Competing endogenous RNA (ceRNA) interactions mediated by miRNAs were postulated as an important cellular regulatory network, in which cross-talk between different transcripts involves competition for joint regulators. We developed a novel statistical method, called SPONGE, for large-scale inference of ceRNA networks. In this framework, we designed an efficient empirical p-value computation approach, by sampling from derived null models, which addresses important confounding factors such as sample size, number of involved regulators and strength of correlation. In an application to a large pan-cancer dataset with 31 cancers we discovered protein-coding and non-coding RNAs that are generic ceRNAs in cancer. Finally, we present an integrative analysis of miRNA and protein-based posttranscriptional regulation. We postulate a competitive regulation of the RNAbinding protein IMP2 with miRNAs binding the same RNAs using expression and RNA binding data. This function of IMP2 is relevant in the contribution to disease in the context of adult cellular metabolism. As a summary, in this thesis we have presented a number of different novel approaches for inference and the integrative analysis of regulatory networks that we believe will find wide applicability in the biological sciences.}, }
Endnote
%0 Thesis %A Dheghani Amirabad, Azim %Y Schulz, Marcel %A referee: Keller, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society External Organizations External Organizations %T From genes to transcripts : integrative modeling and analysis of regulatory networks : %G eng %U http://hdl.handle.net/21.11116/0000-0005-438D-1 %R 10.22028/D291-28659 %U urn:nbn:de:bsz:291--ds-286598 %F OTHER: hdl:20.500.11880/27669 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2019 %P 139 p. %V phd %9 phd %X Although all the cells in an organism posses the same genome, the regulatory mechanisms lead to highly specific cell types. Elucidating these regulatory mechanisms is a great challenge in systems biology research. Nonetheless, it is known that a large fraction of our genome is comprised of regulatory elements, the precise mechanisms by which different combinations of regulatory elements are involved in controlling gene expression and cell identity are poorly understood. This thesis describes algorithms and approaches for modeling and analysis of different modes of gene regulation. We present POSTIT a novel algorithm for modeling and inferring transcript isoform regulation from transcriptomics and epigenomics data. POSTIT uses multi-task learning with structured-sparsity inducing regularizer to share the regulatory information between isoforms of a gene, which is shown to lead to accurate isoform expression prediction and inference of regulators. Furthermore, it can use isoform expression level and annotation as informative priors for gene expression prediction. Hence, it constitute a novel accurate approach applicable to gene or transcript isoform centric analysis using expression data. In an application to microRNA (miRNA) target prioritization, we demonstrate that it out-competes classical gene centric methods. Moreover, pinpoints important transcription factors and miRNAs that regulate differentially expressed isoforms in any biological system. Competing endogenous RNA (ceRNA) interactions mediated by miRNAs were postulated as an important cellular regulatory network, in which cross-talk between different transcripts involves competition for joint regulators. We developed a novel statistical method, called SPONGE, for large-scale inference of ceRNA networks. In this framework, we designed an efficient empirical p-value computation approach, by sampling from derived null models, which addresses important confounding factors such as sample size, number of involved regulators and strength of correlation. In an application to a large pan-cancer dataset with 31 cancers we discovered protein-coding and non-coding RNAs that are generic ceRNAs in cancer. Finally, we present an integrative analysis of miRNA and protein-based posttranscriptional regulation. We postulate a competitive regulation of the RNAbinding protein IMP2 with miRNAs binding the same RNAs using expression and RNA binding data. This function of IMP2 is relevant in the contribution to disease in the context of adult cellular metabolism. As a summary, in this thesis we have presented a number of different novel approaches for inference and the integrative analysis of regulatory networks that we believe will find wide applicability in the biological sciences. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27669
70. Di Giacomo AM, Covre A, Finotello F, Rieder D, Danielli R, Sigalotti L, Giannarelli D, Petitprez F, Lacroix L, Valente M, Cutaia O, Fazio C, Amato G, Lazzeri A, Monterisi S, Miracco C, Coral S, Anichini A, Bock C, Nemc A, Oganesian A, Lowder J, Azab M, Fridman WH, Sautes-Fridman C, Trajanoski Z, Maio M: Guadecitabine Plus Ipilimumab in Unresectable Melanoma: The NIBIT-M4 Clinical Trial. Clinical Cancer Research 2019, 25.
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@article{Giacomo2019, TITLE = {Guadecitabine Plus Ipilimumab in Unresectable Melanoma: {T}he {NIBIT-M4} Clinical Trial}, AUTHOR = {Di Giacomo, Anna Maria and Covre, Alessia and Finotello, Francesca and Rieder, Dietmar and Danielli, Riccardo and Sigalotti, Luca and Giannarelli, Diana and Petitprez, Florent and Lacroix, Laetitia and Valente, Monica and Cutaia, Ornella and Fazio, Carolina and Amato, Giovanni and Lazzeri, Andrea and Monterisi, Santa and Miracco, Clelia and Coral, Sandra and Anichini, Andrea and Bock, Christoph and Nemc, Amelie and Oganesian, Aram and Lowder, James and Azab, Mohammad and Fridman, Wolf H. and Sautes-Fridman, Catherine and Trajanoski, Zlatko and Maio, Michele}, LANGUAGE = {eng}, ISSN = {1078-0432}, DOI = {10.1158/1078-0432.CCR-19-1335}, PUBLISHER = {Association for Cancer Research}, ADDRESS = {Denville, NJ}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Clinical Cancer Research}, VOLUME = {25}, NUMBER = {24}, PAGES = {7351--7362}, }
Endnote
%0 Journal Article %A Di Giacomo, Anna Maria %A Covre, Alessia %A Finotello, Francesca %A Rieder, Dietmar %A Danielli, Riccardo %A Sigalotti, Luca %A Giannarelli, Diana %A Petitprez, Florent %A Lacroix, Laetitia %A Valente, Monica %A Cutaia, Ornella %A Fazio, Carolina %A Amato, Giovanni %A Lazzeri, Andrea %A Monterisi, Santa %A Miracco, Clelia %A Coral, Sandra %A Anichini, Andrea %A Bock, Christoph %A Nemc, Amelie %A Oganesian, Aram %A Lowder, James %A Azab, Mohammad %A Fridman, Wolf H. %A Sautes-Fridman, Catherine %A Trajanoski, Zlatko %A Maio, Michele %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Guadecitabine Plus Ipilimumab in Unresectable Melanoma: The NIBIT-M4 Clinical Trial : %G eng %U http://hdl.handle.net/21.11116/0000-0006-8E4C-6 %R 10.1158/1078-0432.CCR-19-1335 %7 2019 %D 2019 %J Clinical Cancer Research %O Clin. Cancer Res. %V 25 %N 24 %& 7351 %P 7351 - 7362 %I Association for Cancer Research %C Denville, NJ %@ false
71. Doncheva NT, Domingues FS, McGivern DR, Shimakami T, Zeuzem S, Lengauer T, Lange CM, Albrecht M, Welsch C: Near-Neighbor Interactions in the NS3-4A Protease of HCV Impact Replicative Fitness of Drug-Resistant Viral Variants. Journal of Molecular Biology 2019, 431.
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@article{Doncheva2019, TITLE = {Near-Neighbor Interactions in the {NS3}-{4A} Protease of {HCV} Impact Replicative Fitness of Drug-Resistant Viral Variants}, AUTHOR = {Doncheva, Nadezhda Tsankova and Domingues, Francisco S. and McGivern, David R. and Shimakami, Tetsuro and Zeuzem, Stefan and Lengauer, Thomas and Lange, Christian M. and Albrecht, Mario and Welsch, Christoph}, LANGUAGE = {eng}, ISSN = {0022-2836}, DOI = {10.1016/j.jmb.2019.04.034}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Journal of Molecular Biology}, VOLUME = {431}, NUMBER = {12}, PAGES = {2354--2368}, }
Endnote
%0 Journal Article %A Doncheva, Nadezhda Tsankova %A Domingues, Francisco S. %A McGivern, David R. %A Shimakami, Tetsuro %A Zeuzem, Stefan %A Lengauer, Thomas %A Lange, Christian M. %A Albrecht, Mario %A Welsch, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Near-Neighbor Interactions in the NS3-4A Protease of HCV Impact Replicative Fitness of Drug-Resistant Viral Variants : %G eng %U http://hdl.handle.net/21.11116/0000-0004-3FC9-4 %R 10.1016/j.jmb.2019.04.034 %7 2019 %D 2019 %J Journal of Molecular Biology %O J Mol Biol %V 431 %N 12 %& 2354 %P 2354 - 2368 %I Elsevier %C Amsterdam %@ false
72. Döring M: Computational Approaches for Improving Treatment and Prevention of Viral Infections. Universität des Saarlandes; 2019.
Abstract
The treatment of infections with HIV or HCV is challenging. Thus,<br>novel drugs and new computational approaches that support the<br>selection of therapies are required. This work presents methods that<br>support therapy selection as well as methods that advance novel<br>antiviral treatments.<br>geno2pheno[ngs-freq] identifies drug resistance from HIV-1<br>or HCV samples that were subjected to next-generation sequencing<br>by interpreting their sequences either via support vector machines<br>or a rules-based approach. geno2pheno[coreceptor-hiv2] determines the coreceptor that is used for viral cell entry by analyzing a<br>segment of the HIV-2 surface protein with a support vector machine.<br>openPrimeR is capable of finding optimal combinations of primers<br>for multiplex polymerase chain reaction by solving a set cover problem and accessing a new logistic regression model for determining<br>amplification events arising from polymerase chain reaction.<br>geno2pheno[ngs-freq] and geno2pheno[coreceptorhiv2] enable the personalization of antiviral treatments and support<br>clinical decision making. The application of openPrimeR on human<br>immunoglobulin sequences has resulted in novel primer sets that<br>improve the isolation of broadly neutralizing antibodies against<br>HIV-1. The methods that were developed in this work thus constitute<br>important contributions towards improving the prevention and<br>treatment of viral infectious diseases.
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BibTeX
@phdthesis{Doringphd2013, TITLE = {Computational Approaches for Improving Treatment and Prevention of Viral Infections}, AUTHOR = {D{\"o}ring, Matthias}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-279468}, DOI = {10.22028/D291-27946}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2019}, DATE = {2019}, ABSTRACT = {The treatment of infections with HIV or HCV is challenging. Thus,<br>novel drugs and new computational approaches that support the<br>selection of therapies are required. This work presents methods that<br>support therapy selection as well as methods that advance novel<br>antiviral treatments.<br>geno2pheno[ngs-freq] identifies drug resistance from HIV-1<br>or HCV samples that were subjected to next-generation sequencing<br>by interpreting their sequences either via support vector machines<br>or a rules-based approach. geno2pheno[coreceptor-hiv2] determines the coreceptor that is used for viral cell entry by analyzing a<br>segment of the HIV-2 surface protein with a support vector machine.<br>openPrimeR is capable of finding optimal combinations of primers<br>for multiplex polymerase chain reaction by solving a set cover problem and accessing a new logistic regression model for determining<br>amplification events arising from polymerase chain reaction.<br>geno2pheno[ngs-freq] and geno2pheno[coreceptorhiv2] enable the personalization of antiviral treatments and support<br>clinical decision making. The application of openPrimeR on human<br>immunoglobulin sequences has resulted in novel primer sets that<br>improve the isolation of broadly neutralizing antibodies against<br>HIV-1. The methods that were developed in this work thus constitute<br>important contributions towards improving the prevention and<br>treatment of viral infectious diseases.}, }
Endnote
%0 Thesis %A D&#246;ring, Matthias %Y Pfeifer, Nico %A referee: Lengauer, Thomas %A referee: Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Approaches for Improving Treatment and Prevention of Viral Infections : %G eng %U http://hdl.handle.net/21.11116/0000-0003-AEBA-8 %R 10.22028/D291-27946 %U urn:nbn:de:bsz:291--ds-279468 %F OTHER: hdl:20.500.11880/27443 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2019 %P 337 p. %V phd %9 phd %X The treatment of infections with HIV or HCV is challenging. Thus,<br>novel drugs and new computational approaches that support the<br>selection of therapies are required. This work presents methods that<br>support therapy selection as well as methods that advance novel<br>antiviral treatments.<br>geno2pheno[ngs-freq] identifies drug resistance from HIV-1<br>or HCV samples that were subjected to next-generation sequencing<br>by interpreting their sequences either via support vector machines<br>or a rules-based approach. geno2pheno[coreceptor-hiv2] determines the coreceptor that is used for viral cell entry by analyzing a<br>segment of the HIV-2 surface protein with a support vector machine.<br>openPrimeR is capable of finding optimal combinations of primers<br>for multiplex polymerase chain reaction by solving a set cover problem and accessing a new logistic regression model for determining<br>amplification events arising from polymerase chain reaction.<br>geno2pheno[ngs-freq] and geno2pheno[coreceptorhiv2] enable the personalization of antiviral treatments and support<br>clinical decision making. The application of openPrimeR on human<br>immunoglobulin sequences has resulted in novel primer sets that<br>improve the isolation of broadly neutralizing antibodies against<br>HIV-1. The methods that were developed in this work thus constitute<br>important contributions towards improving the prevention and<br>treatment of viral infectious diseases. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27443
73. Döring M, Kreer C, Lehnen N, Klein F, Pfeifer N: Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features. Scientific Reports 2019, 9.
Abstract
Successful primer design for polymerase chain reaction (PCR) hinges on the ability to identify primers<br>that efciently amplify template sequences. Here, we generated a novel Taq PCR data set that reports<br>the amplifcation status for pairs of primers and templates from a reference set of 47 immunoglobulin<br>heavy chain variable sequences and 20 primers. Using logistic regression, we developed TMM, a model<br>for predicting whether a primer amplifes a template given their nucleotide sequences. The model<br>suggests that the free energy of annealing, ΔG, is the key driver of amplifcation (p=7.35e-12) and that<br>3′ mismatches should be considered in dependence on ΔG and the mismatch closest to the 3′ terminus<br>(p=1.67e-05). We validated TMM by comparing its estimates with those from the thermodynamic<br>model of DECIPHER (DE) and a model based solely on the free energy of annealing (FE). TMM<br>outperformed the other approaches in terms of the area under the receiver operating characteristic<br>curve (TMM: 0.953, FE: 0.941, DE: 0.896). TMM can improve primer design and is freely available via<br>openPrimeR (http://openPrimeR.mpi-inf.mpg.de).
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BibTeX
@article{DoringPfeiferModel, TITLE = {Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features}, AUTHOR = {D{\"o}ring, Matthias and Kreer, Christoph and Lehnen, Nathalie and Klein, Florian and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {2045-2322}, DOI = {10.1038/s41598-019-47173-w}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2019}, ABSTRACT = {Successful primer design for polymerase chain reaction (PCR) hinges on the ability to identify primers<br>that efciently amplify template sequences. Here, we generated a novel Taq PCR data set that reports<br>the amplifcation status for pairs of primers and templates from a reference set of 47 immunoglobulin<br>heavy chain variable sequences and 20 primers. Using logistic regression, we developed TMM, a model<br>for predicting whether a primer amplifes a template given their nucleotide sequences. The model<br>suggests that the free energy of annealing, $\Delta$G, is the key driver of amplifcation (p=7.35e-12) and that<br>3&#8242; mismatches should be considered in dependence on $\Delta$G and the mismatch closest to the 3&#8242; terminus<br>(p=1.67e-05). We validated TMM by comparing its estimates with those from the thermodynamic<br>model of DECIPHER (DE) and a model based solely on the free energy of annealing (FE). TMM<br>outperformed the other approaches in terms of the area under the receiver operating characteristic<br>curve (TMM: 0.953, FE: 0.941, DE: 0.896). TMM can improve primer design and is freely available via<br>openPrimeR (http://openPrimeR.mpi-inf.mpg.de).}, JOURNAL = {Scientific Reports}, VOLUME = {9}, EID = {10748}, }
Endnote
%0 Journal Article %A D&#246;ring, Matthias %A Kreer, Christoph %A Lehnen, Nathalie %A Klein, Florian %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features : %G eng %U http://hdl.handle.net/21.11116/0000-0004-5F56-2 %R 10.1038/s41598-019-47173-w %7 2019-07-24 %D 2019 %8 24.07.2019 %X Successful primer design for polymerase chain reaction (PCR) hinges on the ability to identify primers<br>that efciently amplify template sequences. Here, we generated a novel Taq PCR data set that reports<br>the amplifcation status for pairs of primers and templates from a reference set of 47 immunoglobulin<br>heavy chain variable sequences and 20 primers. Using logistic regression, we developed TMM, a model<br>for predicting whether a primer amplifes a template given their nucleotide sequences. The model<br>suggests that the free energy of annealing, &#916;G, is the key driver of amplifcation (p=7.35e-12) and that<br>3&#8242; mismatches should be considered in dependence on &#916;G and the mismatch closest to the 3&#8242; terminus<br>(p=1.67e-05). We validated TMM by comparing its estimates with those from the thermodynamic<br>model of DECIPHER (DE) and a model based solely on the free energy of annealing (FE). TMM<br>outperformed the other approaches in terms of the area under the receiver operating characteristic<br>curve (TMM: 0.953, FE: 0.941, DE: 0.896). TMM can improve primer design and is freely available via<br>openPrimeR (http://openPrimeR.mpi-inf.mpg.de). %J Scientific Reports %O Sci. Rep. %V 9 %Z sequence number: 10748 %I Nature Publishing Group %C London, UK %@ false
74. Durai DA, Schulz MH: Improving in-silico Normalization using Read Weights. Scientific Reports 2019, 9.
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@article{Durai2019, TITLE = {Improving in-silico Normalization using Read Weights}, AUTHOR = {Durai, Dilip Ariyur and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {2045-2322}, DOI = {10.1038/s41598-019-41502-9}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2019}, JOURNAL = {Scientific Reports}, VOLUME = {9}, EID = {5133}, }
Endnote
%0 Journal Article %A Durai, Dilip Ariyur %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improving in-silico Normalization using Read Weights : %G eng %U http://hdl.handle.net/21.11116/0000-0003-5F5F-A %R 10.1038/s41598-019-41502-9 %7 2019 %D 2019 %J Scientific Reports %O Sci. Rep. %V 9 %Z sequence number: 5133 %I Nature Publishing Group %C London, UK %@ false %U https://doi.org/10.1038/s41598-019-41502-9
75. Ebert P: What We Leave Behind : Reproducibility in Chromatin Analysis within and Across Species. Universität des Saarlandes; 2019.
Abstract
Epigenetics is the field of biology that investigates heritable factors regulating gene expression without being directly encoded in the genome of an organism. The human genome is densely packed inside a cell's nucleus in the form of chromatin. Certain constituents of chromatin play a vital role as epigenetic factors in the dynamic regulation of gene expression. Epigenetic changes on the chromatin level are thus an integral part of the mechanisms governing the development of the functionally diverse cell types in multicellular species such as human. Studying these mechanisms is not only important to understand the biology of healthy cells, but also necessary to comprehend the epigenetic component in the formation of many complex diseases. Modern wet lab technology enables scientists to probe the epigenome with high throughput and in extensive detail. The fast generation of epigenetic datasets burdens computational researchers with the challenge of rapidly performing elaborate analyses without compromising on the scientific reproducibility of the reported findings. To facilitate reproducible computational research in epigenomics, this thesis proposes a task-oriented metadata model, relying on web technology and supported by database engineering, that aims at consistent and human-readable documentation of standardized computational workflows. The suggested approach features, e.g., computational validation of metadata records, automatic error detection, and progress monitoring of multi-step analyses, and was successfully field-tested as part of a large epigenome research consortium. This work leaves aside theoretical considerations, and intentionally emphasizes the realistic need of providing scientists with tools that assist them in performing reproducible research. Irrespective of the technological progress, the dynamic and cell-type specific nature of the epigenome commonly requires restricting the number of analyzed samples due to resource limitations. The second project of this thesis introduces the software tool SCIDDO, which has been developed for the differential chromatin analysis of cellular samples with potentially limited availability. By combining statistics, algorithmics, and best practices for robust software development, SCIDDO can quickly identify biologically meaningful regions of differential chromatin marking between cell types. We demonstrate SCIDDO's usefulness in an exemplary study in which we identify regions that establish a link between chromatin and gene expression changes. SCIDDO's quantitative approach to differential chromatin analysis is user-customizable, providing the necessary flexibility to adapt SCIDDO to specific research tasks. Given the functional diversity of cell types and the dynamics of the epigenome in response to environmental changes, it is hardly realistic to map the complete epigenome even for a single organism like human or mouse. For non-model organisms, e.g., cow, pig, or dog, epigenome data is particularly scarce. The third project of this thesis investigates to what extent bioinformatics methods can compensate for the comparatively little effort that is invested in charting the epigenome of non-model species. This study implements a large integrative analysis pipeline, including state-of-the-art machine learning, to transfer chromatin data for predictive modeling between 13 species. The evidence presented here indicates that a partial regulatory epigenetic signal is stably retained even over millions of years of evolutionary distance between the considered species. This finding suggests complementary and cost-effective ways for bioinformatics to contribute to comparative epigenome analysis across species boundaries.
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BibTeX
@phdthesis{Ebertphd2019, TITLE = {What We Leave Behind : Reproducibility in Chromatin Analysis within and Across Species}, AUTHOR = {Ebert, Peter}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-278311}, DOI = {10.22028/D291-27831}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2019}, DATE = {2019}, ABSTRACT = {Epigenetics is the field of biology that investigates heritable factors regulating gene expression without being directly encoded in the genome of an organism. The human genome is densely packed inside a cell's nucleus in the form of chromatin. Certain constituents of chromatin play a vital role as epigenetic factors in the dynamic regulation of gene expression. Epigenetic changes on the chromatin level are thus an integral part of the mechanisms governing the development of the functionally diverse cell types in multicellular species such as human. Studying these mechanisms is not only important to understand the biology of healthy cells, but also necessary to comprehend the epigenetic component in the formation of many complex diseases. Modern wet lab technology enables scientists to probe the epigenome with high throughput and in extensive detail. The fast generation of epigenetic datasets burdens computational researchers with the challenge of rapidly performing elaborate analyses without compromising on the scientific reproducibility of the reported findings. To facilitate reproducible computational research in epigenomics, this thesis proposes a task-oriented metadata model, relying on web technology and supported by database engineering, that aims at consistent and human-readable documentation of standardized computational workflows. The suggested approach features, e.g., computational validation of metadata records, automatic error detection, and progress monitoring of multi-step analyses, and was successfully field-tested as part of a large epigenome research consortium. This work leaves aside theoretical considerations, and intentionally emphasizes the realistic need of providing scientists with tools that assist them in performing reproducible research. Irrespective of the technological progress, the dynamic and cell-type specific nature of the epigenome commonly requires restricting the number of analyzed samples due to resource limitations. The second project of this thesis introduces the software tool SCIDDO, which has been developed for the differential chromatin analysis of cellular samples with potentially limited availability. By combining statistics, algorithmics, and best practices for robust software development, SCIDDO can quickly identify biologically meaningful regions of differential chromatin marking between cell types. We demonstrate SCIDDO's usefulness in an exemplary study in which we identify regions that establish a link between chromatin and gene expression changes. SCIDDO's quantitative approach to differential chromatin analysis is user-customizable, providing the necessary flexibility to adapt SCIDDO to specific research tasks. Given the functional diversity of cell types and the dynamics of the epigenome in response to environmental changes, it is hardly realistic to map the complete epigenome even for a single organism like human or mouse. For non-model organisms, e.g., cow, pig, or dog, epigenome data is particularly scarce. The third project of this thesis investigates to what extent bioinformatics methods can compensate for the comparatively little effort that is invested in charting the epigenome of non-model species. This study implements a large integrative analysis pipeline, including state-of-the-art machine learning, to transfer chromatin data for predictive modeling between 13 species. The evidence presented here indicates that a partial regulatory epigenetic signal is stably retained even over millions of years of evolutionary distance between the considered species. This finding suggests complementary and cost-effective ways for bioinformatics to contribute to comparative epigenome analysis across species boundaries.}, }
Endnote
%0 Thesis %A Ebert, Peter %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %A referee: Weikum, Gerhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T What We Leave Behind : Reproducibility in Chromatin Analysis within and Across Species : %G eng %U http://hdl.handle.net/21.11116/0000-0003-9ADF-5 %R 10.22028/D291-27831 %U urn:nbn:de:bsz:291--ds-278311 %F OTHER: hdl:20.500.11880/27387 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2019 %P 152 p. %V phd %9 phd %X Epigenetics is the field of biology that investigates heritable factors regulating gene expression without being directly encoded in the genome of an organism. The human genome is densely packed inside a cell's nucleus in the form of chromatin. Certain constituents of chromatin play a vital role as epigenetic factors in the dynamic regulation of gene expression. Epigenetic changes on the chromatin level are thus an integral part of the mechanisms governing the development of the functionally diverse cell types in multicellular species such as human. Studying these mechanisms is not only important to understand the biology of healthy cells, but also necessary to comprehend the epigenetic component in the formation of many complex diseases. Modern wet lab technology enables scientists to probe the epigenome with high throughput and in extensive detail. The fast generation of epigenetic datasets burdens computational researchers with the challenge of rapidly performing elaborate analyses without compromising on the scientific reproducibility of the reported findings. To facilitate reproducible computational research in epigenomics, this thesis proposes a task-oriented metadata model, relying on web technology and supported by database engineering, that aims at consistent and human-readable documentation of standardized computational workflows. The suggested approach features, e.g., computational validation of metadata records, automatic error detection, and progress monitoring of multi-step analyses, and was successfully field-tested as part of a large epigenome research consortium. This work leaves aside theoretical considerations, and intentionally emphasizes the realistic need of providing scientists with tools that assist them in performing reproducible research. Irrespective of the technological progress, the dynamic and cell-type specific nature of the epigenome commonly requires restricting the number of analyzed samples due to resource limitations. The second project of this thesis introduces the software tool SCIDDO, which has been developed for the differential chromatin analysis of cellular samples with potentially limited availability. By combining statistics, algorithmics, and best practices for robust software development, SCIDDO can quickly identify biologically meaningful regions of differential chromatin marking between cell types. We demonstrate SCIDDO's usefulness in an exemplary study in which we identify regions that establish a link between chromatin and gene expression changes. SCIDDO's quantitative approach to differential chromatin analysis is user-customizable, providing the necessary flexibility to adapt SCIDDO to specific research tasks. Given the functional diversity of cell types and the dynamics of the epigenome in response to environmental changes, it is hardly realistic to map the complete epigenome even for a single organism like human or mouse. For non-model organisms, e.g., cow, pig, or dog, epigenome data is particularly scarce. The third project of this thesis investigates to what extent bioinformatics methods can compensate for the comparatively little effort that is invested in charting the epigenome of non-model species. This study implements a large integrative analysis pipeline, including state-of-the-art machine learning, to transfer chromatin data for predictive modeling between 13 species. The evidence presented here indicates that a partial regulatory epigenetic signal is stably retained even over millions of years of evolutionary distance between the considered species. This finding suggests complementary and cost-effective ways for bioinformatics to contribute to comparative epigenome analysis across species boundaries. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27387
76. Ebler J, Haukness M, Pesout T, Marschall T, Paten B: Haplotype-aware Diplotyping from Noisy Long Reads. Genome Biology 2019, 20.
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@article{Ebler2019, TITLE = {Haplotype-aware Diplotyping from Noisy Long Reads}, AUTHOR = {Ebler, Jana and Haukness, Marina and Pesout, Trevor and Marschall, Tobias and Paten, Benedict}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-019-1709-0}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2019}, JOURNAL = {Genome Biology}, VOLUME = {20}, EID = {116}, }
Endnote
%0 Journal Article %A Ebler, Jana %A Haukness, Marina %A Pesout, Trevor %A Marschall, Tobias %A Paten, Benedict %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Haplotype-aware Diplotyping from Noisy Long Reads : %G eng %U http://hdl.handle.net/21.11116/0000-0003-D417-4 %R 10.1186/s13059-019-1709-0 %2 PMC6547545 %7 2019 %D 2019 %J Genome Biology %V 20 %Z sequence number: 116 %I BioMed Central Ltd. %C London %@ false
77. Gérard D, Schmidt F, Ginolhac A, Schmitz M, Halder R, Ebert P, Schulz MH, Sauter T, Sinkkonen L: Temporal Enhancer Profiling of Parallel Lineages Identifies AHR and GLIS1 as Regulators of Mesenchymal Multipotency. Nucleic Acids Research 2019, 47.
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@article{Gerard2019, TITLE = {Temporal enhancer profiling of parallel lineages identifies {AHR} and {GLIS1} as regulators of mesenchymal multipotency}, AUTHOR = {G{\'e}rard, Deborah and Schmidt, Florian and Ginolhac, Aur{\'e}lien and Schmitz, Martine and Halder, Rashi and Ebert, Peter and Schulz, Marcel Holger and Sauter, Thomas and Sinkkonen, Lasse}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gky1240}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nucleic Acids Research}, VOLUME = {47}, NUMBER = {3}, PAGES = {1141--1163}, }
Endnote
%0 Journal Article %A G&#233;rard, Deborah %A Schmidt, Florian %A Ginolhac, Aur&#233;lien %A Schmitz, Martine %A Halder, Rashi %A Ebert, Peter %A Schulz, Marcel Holger %A Sauter, Thomas %A Sinkkonen, Lasse %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Temporal Enhancer Profiling of Parallel Lineages Identifies AHR and GLIS1 as Regulators of Mesenchymal Multipotency : %G eng %U http://hdl.handle.net/21.11116/0000-0003-1AFD-4 %R 10.1093/nar/gky1240 %7 2018 %D 2019 %J Nucleic Acids Research %O Nucleic Acids Res %V 47 %N 3 %& 1141 %P 1141 - 1163 %I Oxford University Press %C Oxford %@ false
78. Ghaffaari A, Marschall T: Fully-sensitive Seed Finding in Sequence Graphs Using a Hybrid Index. Bioinformatics (Proc ISMB/ECCB 2019) 2019, 35.
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@article{Ghaffaari2019, TITLE = {Fully-sensitive Seed Finding in Sequence Graphs Using a Hybrid Index}, AUTHOR = {Ghaffaari, Ali and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btz341}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Bioinformatics (Proc. ISMB/ECCB)}, VOLUME = {35}, NUMBER = {14}, PAGES = {i81--i89}, BOOKTITLE = {ISMB/ECCB 2019 Proceedings}, }
Endnote
%0 Journal Article %A Ghaffaari, Ali %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Fully-sensitive Seed Finding in Sequence Graphs Using a Hybrid Index : %G eng %U http://hdl.handle.net/21.11116/0000-0004-7BC8-1 %R 10.1093/bioinformatics/btz341 %7 2019 %D 2019 %J Bioinformatics %V 35 %N 14 %& i81 %P i81 - i89 %I Oxford University Press %C Oxford %@ false %B ISMB/ECCB 2019 Proceedings %O ISMB/ECCB 2019 The biennial joint meeting of ISMB (27th Annual Conference on Intelligent Systems for Molecular Biology) and ECCB (18th European Conference on Computational Biology) ; Basel, Switzerland, July 21&#8211;25, 2019
79. Gier S, Simon M, Nordstroem K, Khalifa S, Schulz MH, Schmitt MJ, Breinig F: Transcriptome Kinetics of Saccharomyces cerevisiae in Response to Viral Killer Toxin K1. Frontiers in Microbiology 2019, 10.
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@article{Gier2019, TITLE = {Transcriptome Kinetics of Saccharomyces cerevisiae in Response to Viral Killer Toxin {K1}}, AUTHOR = {Gier, Stefanie and Simon, Martin and Nordstroem, Karl and Khalifa, Salem and Schulz, Marcel Holger and Schmitt, Manfred J. and Breinig, Frank}, LANGUAGE = {eng}, ISSN = {1664-302X}, DOI = {10.3389/fmicb.2019.01102}, PUBLISHER = {Frontiers Media}, ADDRESS = {Lausanne}, YEAR = {2019}, JOURNAL = {Frontiers in Microbiology}, VOLUME = {10}, EID = {1102}, }
Endnote
%0 Journal Article %A Gier, Stefanie %A Simon, Martin %A Nordstroem, Karl %A Khalifa, Salem %A Schulz, Marcel Holger %A Schmitt, Manfred J. %A Breinig, Frank %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Transcriptome Kinetics of Saccharomyces cerevisiae in Response to Viral Killer Toxin K1 : %G eng %U http://hdl.handle.net/21.11116/0000-0003-B2F8-C %R 10.3389/fmicb.2019.01102 %7 2019 %D 2019 %J Frontiers in Microbiology %V 10 %Z sequence number: 1102 %I Frontiers Media %C Lausanne %@ false
80. Halbritter F, Farlik M, Schwentner R, Jug G, Fortelny N, Schnoeller T, Pisa H, Schuster LC, Reinprecht A, Czech T, Gojo J, Holter W, Minkov M, Bauer WM, Simonitsch-Klupp I, Bock C, Hutter C: Epigenomics and Singe-Cell Sequencing Define a Developmental Hierarchy in Langerhans Cell Histiocytosis. Cancer Discovery 2019, 9.
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@article{Halbritter_2019, TITLE = {Epigenomics and Singe-Cell Sequencing Define a Developmental Hierarchy in Langerhans Cell Histiocytosis}, AUTHOR = {Halbritter, Florian and Farlik, Matthias and Schwentner, Raphaela and Jug, Gunhild and Fortelny, Nikolaus and Schnoeller, Thomas and Pisa, Hanja and Schuster, Linda C. and Reinprecht, Andrea and Czech, Thomas and Gojo, Johannes and Holter, Wolfgang and Minkov, Milen and Bauer, Wolfgang M. and Simonitsch-Klupp, Ingrid and Bock, Christoph and Hutter, Caroline}, LANGUAGE = {eng}, DOI = {10.1158/2159-8290.CD-19-0138}, PUBLISHER = {AACR}, YEAR = {2019}, JOURNAL = {Cancer Discovery}, VOLUME = {9}, NUMBER = {10}, }
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%0 Journal Article %A Halbritter, Florian %A Farlik, Matthias %A Schwentner, Raphaela %A Jug, Gunhild %A Fortelny, Nikolaus %A Schnoeller, Thomas %A Pisa, Hanja %A Schuster, Linda C. %A Reinprecht, Andrea %A Czech, Thomas %A Gojo, Johannes %A Holter, Wolfgang %A Minkov, Milen %A Bauer, Wolfgang M. %A Simonitsch-Klupp, Ingrid %A Bock, Christoph %A Hutter, Caroline %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Epigenomics and Singe-Cell Sequencing Define a Developmental Hierarchy in Langerhans Cell Histiocytosis : %G eng %U http://hdl.handle.net/21.11116/0000-0004-EA55-5 %R 10.1158/2159-8290.CD-19-0138 %7 2019 %D 2019 %J Cancer Discovery %V 9 %N 10 %I AACR
81. Hamdane N, Juhling F, Crouchet E, El Saghire H, Thumann C, Oudot MA, Bandiera S, Saviano A, Ponsolles C, Suarez AAR, Li S, Fujiwara N, Ono A, Davidson I, Bardeesy N, Schmidl C, Bock C, Schuster C, Lupberger J, Habersetzer F, Doffoel M, Piardi T, Sommacale D, Imamura M, Uchida T, Ohdan H, Aikata H, Chayama K, Boldanova T, Pessaux P, et al.: HCV-Induced Epigenetic Changes Associated With Liver Cancer Risk Persist After Sustained Virologic Response. Gastroenterology 2019, 156.
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@article{Hamdane2019, TITLE = {{HCV}-Induced Epigenetic Changes Associated With Liver Cancer Risk Persist After Sustained Virologic Response}, AUTHOR = {Hamdane, Nourdine and Juhling, Frank and Crouchet, Emilie and El Saghire, Houssein and Thumann, Christine and Oudot, Marine A. and Bandiera, Simonetta and Saviano, Antonio and Ponsolles, Clara and Suarez, Armando Andres Roca and Li, Shen and Fujiwara, Naoto and Ono, Atsushi and Davidson, Irwin and Bardeesy, Nabeel and Schmidl, Christian and Bock, Christoph and Schuster, Catherine and Lupberger, Joachim and Habersetzer, Francois and Doffoel, Michel and Piardi, Tullio and Sommacale, Daniele and Imamura, Michio and Uchida, Takuro and Ohdan, Hideki and Aikata, Hiroshi and Chayama, Kazuaki and Boldanova, Tujana and Pessaux, Patrick and Fuchs, Bryan C. and Hoshida, Yujin and Zeisel, Mirjam B. and Duong, Francois H. T. and Baumert, Thomas F.}, LANGUAGE = {eng}, ISSN = {0016-5085}, DOI = {10.1053/j.gastro.2019.02.038}, PUBLISHER = {W.B. Saunders}, ADDRESS = {Philadelphia, Pa}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Gastroenterology}, VOLUME = {156}, NUMBER = {8}, PAGES = {2313--2329}, EID = {e7}, }
Endnote
%0 Journal Article %A Hamdane, Nourdine %A Juhling, Frank %A Crouchet, Emilie %A El Saghire, Houssein %A Thumann, Christine %A Oudot, Marine A. %A Bandiera, Simonetta %A Saviano, Antonio %A Ponsolles, Clara %A Suarez, Armando Andres Roca %A Li, Shen %A Fujiwara, Naoto %A Ono, Atsushi %A Davidson, Irwin %A Bardeesy, Nabeel %A Schmidl, Christian %A Bock, Christoph %A Schuster, Catherine %A Lupberger, Joachim %A Habersetzer, Francois %A Doffoel, Michel %A Piardi, Tullio %A Sommacale, Daniele %A Imamura, Michio %A Uchida, Takuro %A Ohdan, Hideki %A Aikata, Hiroshi %A Chayama, Kazuaki %A Boldanova, Tujana %A Pessaux, Patrick %A Fuchs, Bryan C. %A Hoshida, Yujin %A Zeisel, Mirjam B. %A Duong, Francois H. T. %A Baumert, Thomas F. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T HCV-Induced Epigenetic Changes Associated With Liver Cancer Risk Persist After Sustained Virologic Response : %G eng %U http://hdl.handle.net/21.11116/0000-0003-C353-3 %R 10.1053/j.gastro.2019.02.038 %7 2019 %D 2019 %J Gastroenterology %O Gastroenterology %V 156 %N 8 %& 2313 %P 2313 - 2329 %Z sequence number: e7 %I W.B. Saunders %C Philadelphia, Pa %@ false
82. Handl L, Jalali A, Scherer M, Eggeling R, Pfeifer N: Weighted Elastic Net for Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data. Bioinformatics (Proc ISMB/ECCB 2019) 2019, 35.
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@article{Handl2019, TITLE = {Weighted Elastic Net for Unsupervised Domain Adaptation with Application to Age Prediction from {DNA} Methylation Data}, AUTHOR = {Handl, Lisa and Jalali, Adrin and Scherer, Michael and Eggeling, Ralf and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btz338}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Bioinformatics (Proc. ISMB/ECCB)}, VOLUME = {35}, NUMBER = {14}, PAGES = {i154--i163}, BOOKTITLE = {ISMB/ECCB 2019 Proceedings}, }
Endnote
%0 Journal Article %A Handl, Lisa %A Jalali, Adrin %A Scherer, Michael %A Eggeling, Ralf %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Weighted Elastic Net for Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation Data : %G eng %U http://hdl.handle.net/21.11116/0000-0004-7BC6-3 %R 10.1093/bioinformatics/btz338 %7 2019 %D 2019 %J Bioinformatics %V 35 %N 14 %& i154 %P i154 - i163 %I Oxford University Press %C Oxford %@ false %B ISMB/ECCB 2019 Proceedings %O ISMB/ECCB 2019 The biennial joint meeting of ISMB (27th Annual Conference on Intelligent Systems for Molecular Biology) and ECCB (18th European Conference on Computational Biology) ; Basel, Switzerland, July 21&#8211;25, 2019.
83. Kanduri C, Bock C, Gundersen S, Hovig E, Sandve GK: Colocalization Analyses of Genomic Elements: Approaches, Recommendations and Challenges. Bioinformatics 2019, 35.
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@article{Kanduri2019, TITLE = {Colocalization Analyses of Genomic Elements: Approaches, Recommendations and Challenges}, AUTHOR = {Kanduri, Chakravarthi and Bock, Christoph and Gundersen, Sveinung and Hovig, Eivind and Sandve, Geir Kjetil}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty835}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2019}, JOURNAL = {Bioinformatics}, VOLUME = {35}, NUMBER = {9}, PAGES = {1615--1624}, }
Endnote
%0 Journal Article %A Kanduri, Chakravarthi %A Bock, Christoph %A Gundersen, Sveinung %A Hovig, Eivind %A Sandve, Geir Kjetil %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Colocalization Analyses of Genomic Elements: Approaches, Recommendations and Challenges : %G eng %U http://hdl.handle.net/21.11116/0000-0003-C2A6-6 %R 10.1093/bioinformatics/bty835 %2 PMC6499241 %7 2019 %D 2019 %J Bioinformatics %V 35 %N 9 %& 1615 %P 1615 - 1624 %I Oxford University Press %C Oxford, UK %@ false
84. Karunanithi S, Oruganti V, Marker S, Rodriguez-Viana AM, Drews F, Pirritano M, Nordström K, Simon M, Schulz MH: Exogenous RNAi Mechanisms Contribute to Transcriptome Adaptation by Phased siRNA Clusters in Paramecium. Nucleic Acids Research (London) 2019.
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@article{Karunanithi2019, TITLE = {Exogenous {RNAi} mechanisms contribute to transcriptome adaptation by phased {siRNA} clusters in {Paramecium}}, AUTHOR = {Karunanithi, Sivarajan and Oruganti, Vidya and Marker, Simone and Rodriguez-Viana, Angela M. and Drews, Franziska and Pirritano, Marcello and Nordstr{\"o}m, Karl and Simon, Martin and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkz553}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, JOURNAL = {Nucleic Acids Research (London)}, EID = {gkz553}, }
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%0 Journal Article %A Karunanithi, Sivarajan %A Oruganti, Vidya %A Marker, Simone %A Rodriguez-Viana, Angela M. %A Drews, Franziska %A Pirritano, Marcello %A Nordstr&#246;m, Karl %A Simon, Martin %A Schulz, Marcel Holger %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Exogenous RNAi Mechanisms Contribute to Transcriptome Adaptation by Phased siRNA Clusters in Paramecium : %G eng %U http://hdl.handle.net/21.11116/0000-0003-E818-D %R 10.1093/nar/gkz553 %2 PMC6735861 %7 2019 %D 2019 %J Nucleic Acids Research (London) %O Nucleic Acids Res %Z sequence number: gkz553 %I Oxford University Press %C Oxford %@ false
85. Karunanithi S, Simon M, Schulz MH: Automated Analysis of Small RNA Datasets with RAPID. PeerJ 2019, 7.
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@article{Karunanithi2019b, TITLE = {Automated analysis of small {RNA} datasets with {RAPID}}, AUTHOR = {Karunanithi, Sivarajan and Simon, Martin and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {2167-8359}, DOI = {10.7717/peerj.6710}, PUBLISHER = {PeerJ Inc.}, ADDRESS = {San Francisco, USA}, YEAR = {2019}, JOURNAL = {PeerJ}, VOLUME = {7}, EID = {e6710}, }
Endnote
%0 Journal Article %A Karunanithi, Sivarajan %A Simon, Martin %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated Analysis of Small RNA Datasets with RAPID : %G eng %U http://hdl.handle.net/21.11116/0000-0003-7D5F-8 %R 10.7717/peerj.6710 %7 2019 %D 2019 %J PeerJ %O PeerJ %V 7 %Z sequence number: e6710 %I PeerJ Inc. %C San Francisco, USA %@ false
86. Kosack L, Wingelhofer B, Popa A, Orlova A, Agerer B, Vilagos B, Majek P, Parapatics K, Lercher A, Ringler A, Klughammer J, Smyth M, Khamina K, Baazim H, de Araujo ED, Rosa DA, Park J, Tin G, Ahmar S, Gunning PT, Bock C, Siddle HV, Woods GM, Kubicek S, Murchison EP, Bennett KL, Moriggl R, Bergthaler A: The ERBB-STAT3 Axis Drives Tasmanian Devil Facial Tumor Disease. Cancer Cell 2019, 35.
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@article{Kosack2019, TITLE = {The {ERBB}-{STAT3} Axis Drives {T}asmanian Devil Facial Tumor Disease}, AUTHOR = {Kosack, Lindsay and Wingelhofer, Bettina and Popa, Alexandra and Orlova, Anna and Agerer, Benedikt and Vilagos, Bojan and Majek, Peter and Parapatics, Katja and Lercher, Alexander and Ringler, Anna and Klughammer, Johanna and Smyth, Mark and Khamina, Kseniya and Baazim, Hatoon and de Araujo, Elvin D. and Rosa, David A. and Park, Jisung and Tin, Gary and Ahmar, Siawash and Gunning, Patrick T. and Bock, Christoph and Siddle, Hannah V. and Woods, Gregory M. and Kubicek, Stefan and Murchison, Elizabeth P. and Bennett, Keiryn L. and Moriggl, Richard and Bergthaler, Andreas}, LANGUAGE = {eng}, ISSN = {1535-6108}, DOI = {10.1016/j.ccell.2018.11.018}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2019}, JOURNAL = {Cancer Cell}, VOLUME = {35}, NUMBER = {1}, PAGES = {125--139}, EID = {e9}, }
Endnote
%0 Journal Article %A Kosack, Lindsay %A Wingelhofer, Bettina %A Popa, Alexandra %A Orlova, Anna %A Agerer, Benedikt %A Vilagos, Bojan %A Majek, Peter %A Parapatics, Katja %A Lercher, Alexander %A Ringler, Anna %A Klughammer, Johanna %A Smyth, Mark %A Khamina, Kseniya %A Baazim, Hatoon %A de Araujo, Elvin D. %A Rosa, David A. %A Park, Jisung %A Tin, Gary %A Ahmar, Siawash %A Gunning, Patrick T. %A Bock, Christoph %A Siddle, Hannah V. %A Woods, Gregory M. %A Kubicek, Stefan %A Murchison, Elizabeth P. %A Bennett, Keiryn L. %A Moriggl, Richard %A Bergthaler, Andreas %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T The ERBB-STAT3 Axis Drives Tasmanian Devil Facial Tumor Disease : %G eng %U http://hdl.handle.net/21.11116/0000-0002-F715-0 %R 10.1016/j.ccell.2018.11.018 %7 2019 %D 2019 %J Cancer Cell %O Cancer Cell %V 35 %N 1 %& 125 %P 125 - 139 %Z sequence number: e9 %I Cell Press %C Cambridge, Mass. %@ false
87. Kröhler T, Kessler SM, Hosseini K, List M, Barghash A, Patial S, Laggai S, Gemperlein K, Haybaeck J, Müller R, Helms V, Schulz MH, Hoppstädter J, Blackshear PJ, Kiemer AK: The mRNA-binding Protein TTP/ZFP36 in Hepatocarcinogenesis and Hepatocellular Carcinoma. Cancers 2019, 11.
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@article{Kroehler_2019, TITLE = {The {mRNA}-binding Protein {TTP}/{ZFP}36 in Hepatocarcinogenesis and Hepatocellular Carcinoma}, AUTHOR = {Kr{\"o}hler, Tarek and Kessler, Sonja M. and Hosseini, Kevan and List, Markus and Barghash, Ahmad and Patial, Sonika and Laggai, Stephan and Gemperlein, Katja and Haybaeck, Johannes and M{\"u}ller, Rolf and Helms, Volkhard and Schulz, Marcel Holger and Hoppst{\"a}dter, Jessica and Blackshear, Perry J. and Kiemer, Alexandra K.}, LANGUAGE = {eng}, ISSN = {2072-6694}, DOI = {10.3390/cancers11111754}, PUBLISHER = {MDPI}, YEAR = {2019}, JOURNAL = {Cancers}, VOLUME = {11}, NUMBER = {11}, EID = {1754}, }
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%0 Journal Article %A Kr&#246;hler, Tarek %A Kessler, Sonja M. %A Hosseini, Kevan %A List, Markus %A Barghash, Ahmad %A Patial, Sonika %A Laggai, Stephan %A Gemperlein, Katja %A Haybaeck, Johannes %A M&#252;ller, Rolf %A Helms, Volkhard %A Schulz, Marcel Holger %A Hoppst&#228;dter, Jessica %A Blackshear, Perry J. %A Kiemer, Alexandra K. %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T The mRNA-binding Protein TTP/ZFP36 in Hepatocarcinogenesis and Hepatocellular Carcinoma : %G eng %U http://hdl.handle.net/21.11116/0000-0005-6EB0-9 %R 10.3390/cancers11111754 %7 2019 %D 2019 %J Cancers %V 11 %N 11 %Z sequence number: 1754 %I MDPI %@ false
88. List M, Dheghani Amirabad A, Kostka D, Schulz MH: Large-scale Inference of Competing Endogenous RNA Networks with Sparse Partial Correlation. Bioinformatics (Proc ISMB/ECCB 2019) 2019, 35.
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@article{List2019, TITLE = {Large-scale Inference of Competing Endogenous {RNA} Networks with Sparse Partial Correlation}, AUTHOR = {List, Markus and Dheghani Amirabad, Azim and Kostka, Dennis and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btz314}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Bioinformatics (Proc. ISMB/ECCB)}, VOLUME = {35}, NUMBER = {14}, PAGES = {i596--i604}, BOOKTITLE = {ISMB/ECCB 2019 Proceedings}, }
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%0 Journal Article %A List, Markus %A Dheghani Amirabad, Azim %A Kostka, Dennis %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Large-scale Inference of Competing Endogenous RNA Networks with Sparse Partial Correlation : %G eng %U http://hdl.handle.net/21.11116/0000-0004-7CC2-6 %R 10.1093/bioinformatics/btz314 %7 2019 %D 2019 %J Bioinformatics %V 35 %N 14 %& i596 %P i596 - i604 %I Oxford University Press %C Oxford %@ false %B ISMB/ECCB 2019 Proceedings %O ISMB/ECCB 2019 The biennial joint meeting of ISMB (27th Annual Conference on Intelligent Systems for Molecular Biology) and ECCB (18th European Conference on Computational Biology) ; Basel, Switzerland, July 21&#8211;25, 2019
89. Li Z, Schulz MH, Look T, Begemann M, Zenke M, Costa IG: Identification of Transcription Factor Binding Sites using ATAC-seq. Genome Research 2019, 20.
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@article{Li2019, TITLE = {Identification of transcription factor binding sites using {ATAC}-seq}, AUTHOR = {Li, Zhijian and Schulz, Marcel Holger and Look, Thomas and Begemann, Matthias and Zenke, Martin and Costa, Ivan G.}, LANGUAGE = {eng}, ISSN = {1088-9051}, DOI = {10.1186/s13059-019-1642-2}, PUBLISHER = {Cold Spring Harbor Laboratory Press}, ADDRESS = {Cold Spring Harbor, N.Y.}, YEAR = {2019}, JOURNAL = {Genome Research}, VOLUME = {20}, EID = {45}, }
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%0 Journal Article %A Li, Zhijian %A Schulz, Marcel Holger %A Look, Thomas %A Begemann, Matthias %A Zenke, Martin %A Costa, Ivan G. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Identification of Transcription Factor Binding Sites using ATAC-seq : %G eng %U http://hdl.handle.net/21.11116/0000-0003-2AF1-E %R 10.1186/s13059-019-1642-2 %7 2019 %D 2019 %J Genome Research %V 20 %Z sequence number: 45 %I Cold Spring Harbor Laboratory Press %C Cold Spring Harbor, N.Y. %@ false
90. Luebke N, Jensen B, Huettig F, Feldt T, Walker A, Thielen A, Daeumer M, Obermeier M, Kaiser R, Knops E, Heger E, Sierra S, Oette M, Lengauer T, Timm J, Haeussinger D: Failure of Dolutegravir First-Line ART with Selection of Virus Carrying R263K and G118R. The New England Journal of Medicine : NEJM / Publ by the Massachusetts Medical Society 2019, 381.
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@article{Luebke2019, TITLE = {Failure of Dolutegravir First-Line {ART} with Selection of Virus Carrying {R263K} and {G118R}}, AUTHOR = {Luebke, Nadine and Jensen, Bjoern and Huettig, Falk and Feldt, Torsten and Walker, Andreas and Thielen, Alexander and Daeumer, Martin and Obermeier, Martin and Kaiser, Rolf and Knops, Elena and Heger, Eva and Sierra, Saleta and Oette, Mark and Lengauer, Thomas and Timm, Joerg and Haeussinger, Dieter}, LANGUAGE = {eng}, ISSN = {0028-4793}, DOI = {10.1056/NEJMc1806554}, PUBLISHER = {New England Journal of Medicine}, ADDRESS = {Boston}, YEAR = {2019}, DATE = {2019}, JOURNAL = {The New England Journal of Medicine : NEJM / Publ. by the Massachusetts Medical Society}, VOLUME = {381}, NUMBER = {9}, PAGES = {887--889}, }
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%0 Journal Article %A Luebke, Nadine %A Jensen, Bjoern %A Huettig, Falk %A Feldt, Torsten %A Walker, Andreas %A Thielen, Alexander %A Daeumer, Martin %A Obermeier, Martin %A Kaiser, Rolf %A Knops, Elena %A Heger, Eva %A Sierra, Saleta %A Oette, Mark %A Lengauer, Thomas %A Timm, Joerg %A Haeussinger, Dieter %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Failure of Dolutegravir First-Line ART with Selection of Virus Carrying R263K and G118R : %G eng %U http://hdl.handle.net/21.11116/0000-0004-B780-C %R 10.1056/NEJMc1806554 %7 2019 %D 2019 %J The New England Journal of Medicine : NEJM / Publ. by the Massachusetts Medical Society %O N. Engl. J. Med. %V 381 %N 9 %& 887 %P 887 - 889 %I New England Journal of Medicine %C Boston %@ false
91. Müller F, Scherer M, Assenov Y, Lutsik P, Walter J, Lengauer T, Bock C: RnBeads 2.0: Comprehensive Analysis of DNA Methylation Data. Genome Biology 2019, 20.
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@article{Mueller_GenomeBiology2019, TITLE = {{RnBeads} 2.0: {C}omprehensive analysis of {DNA} methylation data}, AUTHOR = {M{\"u}ller, Fabian and Scherer, Michael and Assenov, Yassen and Lutsik, Pavlo and Walter, J{\"o}rn and Lengauer, Thomas and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-019-1664-9}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2019}, JOURNAL = {Genome Biology}, VOLUME = {20}, EID = {55}, }
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%0 Journal Article %A M&#252;ller, Fabian %A Scherer, Michael %A Assenov, Yassen %A Lutsik, Pavlo %A Walter, J&#246;rn %A Lengauer, Thomas %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T RnBeads 2.0: Comprehensive Analysis of DNA Methylation Data : %G eng %U http://hdl.handle.net/21.11116/0000-0003-2DF3-9 %R 10.1186/s13059-019-1664-9 %7 2019 %D 2019 %J Genome Biology %V 20 %Z sequence number: 55 %I BioMed Central Ltd. %C London %@ false
92. Neininger K, Marschall T, Helms V: SNP and Indel Frequencies at Transcription Start Sites and at Canonical and Alternative Translation Initiation Sites in the Human Genome. PLoS One 2019, 14.
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@article{Neininger2019, TITLE = {{SNP} and indel frequencies at transcription start sites and at canonical and alternative translation initiation sites in the human genome}, AUTHOR = {Neininger, Kerstin and Marschall, Tobias and Helms, Volkhard}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0214816}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2019}, JOURNAL = {PLoS One}, VOLUME = {14}, NUMBER = {4}, EID = {e0214816}, }
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%0 Journal Article %A Neininger, Kerstin %A Marschall, Tobias %A Helms, Volkhard %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T SNP and Indel Frequencies at Transcription Start Sites and at Canonical and Alternative Translation Initiation Sites in the Human Genome : %G eng %U http://hdl.handle.net/21.11116/0000-0003-866B-E %R 10.1371/journal.pone.0214816 %7 2019-04-12 %D 2019 %8 12.04.2019 %J PLoS One %V 14 %N 4 %Z sequence number: e0214816 %I Public Library of Science %C San Francisco, CA %@ false
93. Nikumbh S: Interpretable Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D. Universität des Saarlandes; 2019.
Abstract
With the development of chromosome conformation capture-based techniques, we now know that chromatin is packed in three-dimensional (3D) space inside the cell nucleus. Changes in the 3D chromatin architecture have already been implicated in diseases such as cancer. Thus, a better understanding of this 3D conformation is of interest to help enhance our comprehension of the complex, multipronged regulatory mechanisms of the genome. The work described in this dissertation largely focuses on development and application of interpretable machine learning methods for prediction and analysis of long-range genomic interactions output from chromatin interaction experiments. In the first part, we demonstrate that the genetic sequence information at the ge- nomic loci is predictive of the long-range interactions of a particular locus of interest (LoI). For example, the genetic sequence information at and around enhancers can help predict whether it interacts with a promoter region of interest. This is achieved by building string kernel-based support vector classifiers together with two novel, in- tuitive visualization methods. These models suggest a potential general role of short tandem repeat motifs in the 3D genome organization. But, the insights gained out of these models are still coarse-grained. To this end, we devised a machine learning method, called CoMIK for Conformal Multi-Instance Kernels, capable of providing more fine-grained insights. When comparing sequences of variable length in the su- pervised learning setting, CoMIK can not only identify the features important for classification but also locate them within the sequence. Such precise identification of important segments of the whole sequence can help in gaining de novo insights into any role played by the intervening chromatin towards long-range interactions. Although CoMIK primarily uses only genetic sequence information, it can also si- multaneously utilize other information modalities such as the numerous functional genomics data if available. The second part describes our pipeline, pHDee, for easy manipulation of large amounts of 3D genomics data. We used the pipeline for analyzing HiChIP experimen- tal data for studying the 3D architectural changes in Ewing sarcoma (EWS) which is a rare cancer affecting adolescents. In particular, HiChIP data for two experimen- tal conditions, doxycycline-treated and untreated, and for primary tumor samples is analyzed. We demonstrate that pHDee facilitates processing and easy integration of large amounts of 3D genomics data analysis together with other data-intensive bioinformatics analyses.
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@phdthesis{Nikumbhphd2019, TITLE = {Interpretable Machine Learning Methods for Prediction and Analysis of Genome Regulation in {3D}}, AUTHOR = {Nikumbh, Sarvesh}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-281533}, DOI = {10.22028/D291-28153}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2019}, DATE = {2019}, ABSTRACT = {With the development of chromosome conformation capture-based techniques, we now know that chromatin is packed in three-dimensional (3D) space inside the cell nucleus. Changes in the 3D chromatin architecture have already been implicated in diseases such as cancer. Thus, a better understanding of this 3D conformation is of interest to help enhance our comprehension of the complex, multipronged regulatory mechanisms of the genome. The work described in this dissertation largely focuses on development and application of interpretable machine learning methods for prediction and analysis of long-range genomic interactions output from chromatin interaction experiments. In the first part, we demonstrate that the genetic sequence information at the ge- nomic loci is predictive of the long-range interactions of a particular locus of interest (LoI). For example, the genetic sequence information at and around enhancers can help predict whether it interacts with a promoter region of interest. This is achieved by building string kernel-based support vector classifiers together with two novel, in- tuitive visualization methods. These models suggest a potential general role of short tandem repeat motifs in the 3D genome organization. But, the insights gained out of these models are still coarse-grained. To this end, we devised a machine learning method, called CoMIK for Conformal Multi-Instance Kernels, capable of providing more fine-grained insights. When comparing sequences of variable length in the su- pervised learning setting, CoMIK can not only identify the features important for classification but also locate them within the sequence. Such precise identification of important segments of the whole sequence can help in gaining de novo insights into any role played by the intervening chromatin towards long-range interactions. Although CoMIK primarily uses only genetic sequence information, it can also si- multaneously utilize other information modalities such as the numerous functional genomics data if available. The second part describes our pipeline, pHDee, for easy manipulation of large amounts of 3D genomics data. We used the pipeline for analyzing HiChIP experimen- tal data for studying the 3D architectural changes in Ewing sarcoma (EWS) which is a rare cancer affecting adolescents. In particular, HiChIP data for two experimen- tal conditions, doxycycline-treated and untreated, and for primary tumor samples is analyzed. We demonstrate that pHDee facilitates processing and easy integration of large amounts of 3D genomics data analysis together with other data-intensive bioinformatics analyses.}, }
Endnote
%0 Thesis %A Nikumbh, Sarvesh %Y Pfeifer, Nico %A referee: Marschall, Tobias %A referee: Ebert, Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Interpretable Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D : %G eng %U http://hdl.handle.net/21.11116/0000-0004-A5CE-A %R 10.22028/D291-28153 %U urn:nbn:de:bsz:291--ds-281533 %F OTHER: hdl:20.500.11880/27471 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2019 %P 150 p. %V phd %9 phd %X With the development of chromosome conformation capture-based techniques, we now know that chromatin is packed in three-dimensional (3D) space inside the cell nucleus. Changes in the 3D chromatin architecture have already been implicated in diseases such as cancer. Thus, a better understanding of this 3D conformation is of interest to help enhance our comprehension of the complex, multipronged regulatory mechanisms of the genome. The work described in this dissertation largely focuses on development and application of interpretable machine learning methods for prediction and analysis of long-range genomic interactions output from chromatin interaction experiments. In the first part, we demonstrate that the genetic sequence information at the ge- nomic loci is predictive of the long-range interactions of a particular locus of interest (LoI). For example, the genetic sequence information at and around enhancers can help predict whether it interacts with a promoter region of interest. This is achieved by building string kernel-based support vector classifiers together with two novel, in- tuitive visualization methods. These models suggest a potential general role of short tandem repeat motifs in the 3D genome organization. But, the insights gained out of these models are still coarse-grained. To this end, we devised a machine learning method, called CoMIK for Conformal Multi-Instance Kernels, capable of providing more fine-grained insights. When comparing sequences of variable length in the su- pervised learning setting, CoMIK can not only identify the features important for classification but also locate them within the sequence. Such precise identification of important segments of the whole sequence can help in gaining de novo insights into any role played by the intervening chromatin towards long-range interactions. Although CoMIK primarily uses only genetic sequence information, it can also si- multaneously utilize other information modalities such as the numerous functional genomics data if available. The second part describes our pipeline, pHDee, for easy manipulation of large amounts of 3D genomics data. We used the pipeline for analyzing HiChIP experimen- tal data for studying the 3D architectural changes in Ewing sarcoma (EWS) which is a rare cancer affecting adolescents. In particular, HiChIP data for two experimen- tal conditions, doxycycline-treated and untreated, and for primary tumor samples is analyzed. We demonstrate that pHDee facilitates processing and easy integration of large amounts of 3D genomics data analysis together with other data-intensive bioinformatics analyses. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27471
94. Nordström KJV, Schmidt F, Gasparoni N, Salhab A, Gasparoni G, Kattler K, Müller F, Ebert P, Costa IG, Pfeifer N, Lengauer T, Schulz MH, Walter J: Unique and Essay Specific Features of NOMe-, ATAC- and DNase I-seq Data. Nucleic Acids Research (London) 2019, 47.
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@article{Norstroem_2019, TITLE = {Unique and assay specific features of {NOMe}-, {ATAC}- and {DNase} {I}-seq data}, AUTHOR = {Nordstr{\"o}m, Karl J. V. and Schmidt, Florian and Gasparoni, Nina and Salhab, Abdulrahman and Gasparoni, Gilles and Kattler, Kathrin and M{\"u}ller, Fabian and Ebert, Peter and Costa, Ivan G. and {DEEP Consortium} and Pfeifer, Nico and Lengauer, Thomas and Schulz, Marcel Holger and Walter, J{\"o}rn}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkz799}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nucleic Acids Research (London)}, VOLUME = {47}, NUMBER = {20}, PAGES = {10580--10596}, }
Endnote
%0 Journal Article %A Nordstr&#246;m, Karl J. V. %A Schmidt, Florian %A Gasparoni, Nina %A Salhab, Abdulrahman %A Gasparoni, Gilles %A Kattler, Kathrin %A M&#252;ller, Fabian %A Ebert, Peter %A Costa, Ivan G. %A DEEP Consortium, %A Pfeifer, Nico %A Lengauer, Thomas %A Schulz, Marcel Holger %A Walter, J&#246;rn %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Unique and Essay Specific Features of NOMe-, ATAC- and DNase I-seq Data : %G eng %U http://hdl.handle.net/21.11116/0000-0005-69B2-C %R 10.1093/nar/gkz799 %2 PMC6847574 %7 2019 %D 2019 %J Nucleic Acids Research (London) %O Nucleic Acids Res %V 47 %N 20 %& 10580 %P 10580 - 10596 %I Oxford University Press %C Oxford %@ false
95. Pfitzer L, Moser C, Gegenfurtner F, Arner A, Foerster F, Atzberger C, Zisis T, Kubisch-Dohmen R, Busse J, Smith R, Timinszky G, Kalinina OV, Müller R, Wagner E, Vollmar AM, Zahler S: Targeting Actin Inhibits Repair of Doxorubicin-induced DNA Damage: A Novel Therapeutic Approach for Combination Therapy. Cell Death and Disease 2019, 10.
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@article{Pfitzer2019, TITLE = {Targeting actin inhibits repair of doxorubicin-induced {DNA} damage: {A} novel therapeutic approach for combination therapy}, AUTHOR = {Pfitzer, Lisa and Moser, Christina and Gegenfurtner, Florian and Arner, Anja and Foerster, Florian and Atzberger, Carina and Zisis, Themistoklis and Kubisch-Dohmen, Rebekka and Busse, Johanna and Smith, Rebecca and Timinszky, Gyula and Kalinina, Olga V. and M{\"u}ller, Rolf and Wagner, Ernst and Vollmar, Angelika M. and Zahler, Stefan}, LANGUAGE = {eng}, DOI = {10.1038/s41419-019-1546-9}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2019}, JOURNAL = {Cell Death and Disease}, VOLUME = {10}, EID = {302}, }
Endnote
%0 Journal Article %A Pfitzer, Lisa %A Moser, Christina %A Gegenfurtner, Florian %A Arner, Anja %A Foerster, Florian %A Atzberger, Carina %A Zisis, Themistoklis %A Kubisch-Dohmen, Rebekka %A Busse, Johanna %A Smith, Rebecca %A Timinszky, Gyula %A Kalinina, Olga V. %A M&#252;ller, Rolf %A Wagner, Ernst %A Vollmar, Angelika M. %A Zahler, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Targeting Actin Inhibits Repair of Doxorubicin-induced DNA Damage: A Novel Therapeutic Approach for Combination Therapy : %G eng %U http://hdl.handle.net/21.11116/0000-0003-8A7E-5 %R 10.1038/s41419-019-1546-9 %7 2019 %D 2019 %J Cell Death and Disease %O Cell Death Dis %V 10 %Z sequence number: 302 %I Nature Publishing Group %C London
96. Piper CJM, Rosser EC, Oleinika K, Nistala K, Krausgruber T, Rendeiro AF, Banos A, Drozdov I, Villa M, Thomson S, Xanthou G, Bock C, Stockinger B, Mauri C: Aryl Hydrocarbon Receptor Contributes to the Transcriptional Program of IL-10-Producing Regulatory B Cells. Cell Reports 2019, 29.
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@article{Piper2019, TITLE = {Aryl Hydrocarbon Receptor Contributes to the Transcriptional Program of {IL}-10-Producing Regulatory {B} Cells}, AUTHOR = {Piper, Christopher J.M. and Rosser, Elizabeth C. and Oleinika, Kristine and Nistala, Kiran and Krausgruber, Thomas and Rendeiro, Andr{\'e} F. and Banos, Aggelos and Drozdov, Ignat and Villa, Matteo and Thomson, Scott and Xanthou, Georgina and Bock, Christoph and Stockinger, Brigitta and Mauri, Claudia}, LANGUAGE = {eng}, ISSN = {2211-1247}, DOI = {10.1016/j.celrep.2019.10.018}, PUBLISHER = {Cell Press}, ADDRESS = {Maryland Heights, MO}, YEAR = {2019}, JOURNAL = {Cell Reports}, VOLUME = {29}, NUMBER = {7}, PAGES = {1878--1892}, EID = {e7}, }
Endnote
%0 Journal Article %A Piper, Christopher J.M. %A Rosser, Elizabeth C. %A Oleinika, Kristine %A Nistala, Kiran %A Krausgruber, Thomas %A Rendeiro, Andr&#233; F. %A Banos, Aggelos %A Drozdov, Ignat %A Villa, Matteo %A Thomson, Scott %A Xanthou, Georgina %A Bock, Christoph %A Stockinger, Brigitta %A Mauri, Claudia %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Aryl Hydrocarbon Receptor Contributes to the Transcriptional Program of IL-10-Producing Regulatory B Cells : %G eng %U http://hdl.handle.net/21.11116/0000-0005-5CAA-5 %R 10.1016/j.celrep.2019.10.018 %7 2019 %D 2019 %J Cell Reports %V 29 %N 7 %& 1878 %P 1878 - 1892 %Z sequence number: e7 %I Cell Press %C Maryland Heights, MO %@ false
97. Rautiainen M, Mäkinen V, Marschall T: Bit-parallel Sequence-to-Graph Alignment. Bioinformatics 2019, 35.
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@article{Rautiainen_2019, TITLE = {Bit-parallel Sequence-to-Graph Alignment}, AUTHOR = {Rautiainen, Mikko and M{\"a}kinen, Veli and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btz162}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Bioinformatics}, VOLUME = {35}, NUMBER = {19}, PAGES = {3599--3607}, }
Endnote
%0 Journal Article %A Rautiainen, Mikko %A M&#228;kinen, Veli %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bit-parallel Sequence-to-Graph Alignment : %G eng %U http://hdl.handle.net/21.11116/0000-0004-E4CA-7 %R 10.1093/bioinformatics/btz162 %2 PMC6761980 %7 2019 %D 2019 %J Bioinformatics %V 35 %N 19 %& 3599 %P 3599 - 3607 %I Oxford University Press %C Oxford %@ false
98. Roeder B, Kersten N, Herr M, Speicher NK, Pfeifer N: web-rMKL: A Web Server for Dimensionality Reduction and Sample Clustering of Multi-view Data Based on Unsupervised Multiple Kernel Learning. Nucleic Acids Research (London) 2019, 47.
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@article{Roeder2019, TITLE = {{web-rMKL}: {A} Web Server for Dimensionality Reduction and Sample Clustering of Multi-view Data Based on Unsupervised Multiple Kernel Learning}, AUTHOR = {Roeder, Benedict and Kersten, Nicolas and Herr, Marius and Speicher, Nora K. and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkz422}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nucleic Acids Research (London)}, VOLUME = {47}, NUMBER = {W1}, PAGES = {W605--W609}, }
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%0 Journal Article %A Roeder, Benedict %A Kersten, Nicolas %A Herr, Marius %A Speicher, Nora K. %A Pfeifer, Nico %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T web-rMKL: A Web Server for Dimensionality Reduction and Sample Clustering of Multi-view Data Based on Unsupervised Multiple Kernel Learning : %G eng %U http://hdl.handle.net/21.11116/0000-0004-7AE0-6 %R 10.1093/nar/gkz422 %7 2019 %D 2019 %J Nucleic Acids Research (London) %O Nucleic Acids Res %V 47 %N W1 %& W605 %P W605 - W609 %I Oxford University Press %C Oxford %@ false
99. Sanders AD, Meiers S, Ghareghani M, Porubsky D, Jeong H, van Vliet MACC, Rausch T, Richter-Pechanska P, Kunz JB, Jenni S, Bolognini D, Longo GMC, Raeder B, Kinanen V, Zimmermann J, Benes V, Schrappe M, Mardin BR, Kulozik AE, Bornhauser B, Bourquin J-P, Marschall T, Korbel JO: Single-Cell Analysis of Structural Variations and Complex Rearrangements with Tri-Channel Processing. Nature Biotechnology 2019, 38.
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@article{Sanders2019, TITLE = {Single-Cell Analysis of Structural Variations and Complex Rearrangements with Tri-Channel Processing}, AUTHOR = {Sanders, Ashley D. and Meiers, Sascha and Ghareghani, Maryam and Porubsky, David and Jeong, Hyobin and van Vliet, M. Alexandra C. C. and Rausch, Tobias and Richter-Pechanska, Paulina and Kunz, Joachim B. and Jenni, Silvia and Bolognini, Davide and Longo, Gabriel M. C. and Raeder, Benjamin and Kinanen, Venla and Zimmermann, Juergen and Benes, Vladimir and Schrappe, Martin and Mardin, Balca R. and Kulozik, Andreas E. and Bornhauser, Beat and Bourquin, Jean-Pierre and Marschall, Tobias and Korbel, Jan O.}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/s41587-019-0366-x}, PUBLISHER = {Gale Group Inc.}, ADDRESS = {New York}, YEAR = {2019}, JOURNAL = {Nature Biotechnology}, VOLUME = {38}, PAGES = {343--354}, }
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%0 Journal Article %A Sanders, Ashley D. %A Meiers, Sascha %A Ghareghani, Maryam %A Porubsky, David %A Jeong, Hyobin %A van Vliet, M. Alexandra C. C. %A Rausch, Tobias %A Richter-Pechanska, Paulina %A Kunz, Joachim B. %A Jenni, Silvia %A Bolognini, Davide %A Longo, Gabriel M. C. %A Raeder, Benjamin %A Kinanen, Venla %A Zimmermann, Juergen %A Benes, Vladimir %A Schrappe, Martin %A Mardin, Balca R. %A Kulozik, Andreas E. %A Bornhauser, Beat %A Bourquin, Jean-Pierre %A Marschall, Tobias %A Korbel, Jan O. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Single-Cell Analysis of Structural Variations and Complex Rearrangements with Tri-Channel Processing : %G eng %U http://hdl.handle.net/21.11116/0000-0005-9E8C-C %R 10.1038/s41587-019-0366-x %7 2019 %D 2019 %J Nature Biotechnology %V 38 %& 343 %P 343 - 354 %I Gale Group Inc. %C New York %@ false
100. Schick S, Rendeiro AF, Runggatscher K, Ringler A, Boidol B, Hinkel M, Majek P, Vulliard L, Penz T, Parapatics K, Schmidl C, Menche J, Boehmelt G, Petronczki M, Mueller AC, Bock C, Kubicek S: Systematic Characterization of BAF Mutations Provides Insights into Intracomplex Synthetic Lethalities in Human Cancers. Nature Genetics 2019, 51.
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@article{Schick2019, TITLE = {Systematic characterization of {BAF} mutations provides insights into intracomplex synthetic lethalities in human cancers}, AUTHOR = {Schick, Sandra and Rendeiro, Andre F. and Runggatscher, Kathrin and Ringler, Anna and Boidol, Bernd and Hinkel, Melanie and Majek, Peter and Vulliard, Loan and Penz, Thomas and Parapatics, Katja and Schmidl, Christian and Menche, Joerg and Boehmelt, Guido and Petronczki, Mark and Mueller, Andre C. and Bock, Christoph and Kubicek, Stefan}, LANGUAGE = {eng}, ISSN = {1061-4036}, DOI = {10.1038/s41588-019-0477-9}, PUBLISHER = {Nature America, Inc.}, ADDRESS = {New York, NY}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nature Genetics}, VOLUME = {51}, NUMBER = {9}, PAGES = {1399--1410}, }
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%0 Journal Article %A Schick, Sandra %A Rendeiro, Andre F. %A Runggatscher, Kathrin %A Ringler, Anna %A Boidol, Bernd %A Hinkel, Melanie %A Majek, Peter %A Vulliard, Loan %A Penz, Thomas %A Parapatics, Katja %A Schmidl, Christian %A Menche, Joerg %A Boehmelt, Guido %A Petronczki, Mark %A Mueller, Andre C. %A Bock, Christoph %A Kubicek, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Systematic Characterization of BAF Mutations Provides Insights into Intracomplex Synthetic Lethalities in Human Cancers : %G eng %U http://hdl.handle.net/21.11116/0000-0004-B774-B %R 10.1038/s41588-019-0477-9 %7 2019 %D 2019 %J Nature Genetics %O Nature Genet. %V 51 %N 9 %& 1399 %P 1399 - 1410 %I Nature America, Inc. %C New York, NY %@ false
101. Schmidl C, Vladimer GI, Rendeiro AF, Schnabl S, Krausgruber T, Taubert C, Krall N, Pemovska T, Araghi M, Snijder B, Hubmann R, Ringler A, Runggatscher K, Demirtas D, Lopez de la Fuente O, Hilgarth M, Skrabs C, Porpaczy E, Gruber M, Hoermann G, Kubicek S, Staber PB, Shehata M, Superti-Furga G, Jaeger U, Bock C: Combined Chemosensitivity and Chromatin Profiling Prioritizes Drug Combinations in CLL. Nature Chemical Biology 2019, 15.
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@article{Schmidl2019, TITLE = {Combined Chemosensitivity and Chromatin Profiling Prioritizes Drug Combinations in {CLL}}, AUTHOR = {Schmidl, Christian and Vladimer, Gregory I. and Rendeiro, Andre F. and Schnabl, Susanne and Krausgruber, Thomas and Taubert, Christina and Krall, Nikolaus and Pemovska, Tea and Araghi, Mohammad and Snijder, Berend and Hubmann, Rainer and Ringler, Anna and Runggatscher, Kathrin and Demirtas, Dita and Lopez de la Fuente, Oscar and Hilgarth, Martin and Skrabs, Cathrin and Porpaczy, Edit and Gruber, Michaela and Hoermann, Gregor and Kubicek, Stefan and Staber, Philipp B. and Shehata, Medhat and Superti-Furga, Giulio and Jaeger, Ulrich and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1552-4450}, DOI = {10.1038/s41589-018-0205-2}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nature Chemical Biology}, VOLUME = {15}, NUMBER = {3}, PAGES = {232--240}, }
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%0 Journal Article %A Schmidl, Christian %A Vladimer, Gregory I. %A Rendeiro, Andre F. %A Schnabl, Susanne %A Krausgruber, Thomas %A Taubert, Christina %A Krall, Nikolaus %A Pemovska, Tea %A Araghi, Mohammad %A Snijder, Berend %A Hubmann, Rainer %A Ringler, Anna %A Runggatscher, Kathrin %A Demirtas, Dita %A Lopez de la Fuente, Oscar %A Hilgarth, Martin %A Skrabs, Cathrin %A Porpaczy, Edit %A Gruber, Michaela %A Hoermann, Gregor %A Kubicek, Stefan %A Staber, Philipp B. %A Shehata, Medhat %A Superti-Furga, Giulio %A Jaeger, Ulrich %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Combined Chemosensitivity and Chromatin Profiling Prioritizes Drug Combinations in CLL : %G eng %U http://hdl.handle.net/21.11116/0000-0003-1434-C %R 10.1038/s41589-018-0205-2 %2 PMC6746620 %7 2019 %D 2019 %J Nature Chemical Biology %O Nat. Chem. Biol. %V 15 %N 3 %& 232 %P 232 - 240 %I Nature Pub. Group %C New York, NY %@ false
102. Schmidt F, Kern F, Ebert P, Baumgarten N, Schulz MH: TEPIC 2 - an Extended Framework for Transcription Factor Binding Prediction and Integrative Epigenomic Analysis. Bioinformatics 2019, 35.
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@article{Schmidt2019Tepic, TITLE = {{TEPIC} 2 -- an Extended Framework for Transcription Factor Binding Prediction and Integrative Epigenomic Analysis}, AUTHOR = {Schmidt, Florian and Kern, Fabian and Ebert, Peter and Baumgarten, Nina and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty856}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2019}, JOURNAL = {Bioinformatics}, VOLUME = {35}, NUMBER = {9}, PAGES = {1608--1609}, }
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%0 Journal Article %A Schmidt, Florian %A Kern, Fabian %A Ebert, Peter %A Baumgarten, Nina %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T TEPIC 2 - an Extended Framework for Transcription Factor Binding Prediction and Integrative Epigenomic Analysis : %G eng %U http://hdl.handle.net/21.11116/0000-0003-C333-7 %R 10.1093/bioinformatics/bty856 %2 PMC6499243 %7 2019 %D 2019 %J Bioinformatics %V 35 %N 9 %& 1608 %P 1608 - 1609 %I Oxford University Press %C Oxford, UK %@ false
103. Schmidt F, Schulz MH: On the Problem of Confounders in Modeling Gene Expression. Bioinformatics 2019, 35.
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@article{Schmidt2019, TITLE = {On the Problem of Confounders in Modeling Gene Expression}, AUTHOR = {Schmidt, Florian and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty674}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Bioinformatics}, VOLUME = {35}, NUMBER = {4}, PAGES = {711--719}, }
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%0 Journal Article %A Schmidt, Florian %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Problem of Confounders in Modeling Gene Expression : %G eng %U http://hdl.handle.net/21.11116/0000-0003-2094-1 %R 10.1093/bioinformatics/bty674 %2 PMC6530814 %7 2018 %D 2019 %J Bioinformatics %V 35 %N 4 %& 711 %P 711 - 719 %I Oxford University Press %C Oxford %@ false
104. Sdelci S, Rendeiro AF, Rathert P, You W, Lin J-MG, Ringler A, Hofstaetter G, Moll HP, Guertl B, Farlik M, Schick S, Klepsch F, Oldach M, Buphamalai P, Schischlik F, Majek P, Parapatics K, Schmidl C, Schuster M, Penz T, Buckley DL, Hudecz O, Imre R, Wang S-Y, Maric HM, Kralovics R, Bennett KL, Mueller AC, Mechtler K, Menche J, et al.: MTHFD1 Interaction with BRD4 Links Folate Metabolism to Transcriptional Regulation. Nature Genetics 2019, 51.
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@article{Sdelci2019, TITLE = {{MTHFD1} interaction with {BRD4} links folate metabolism to transcriptional regulation}, AUTHOR = {Sdelci, Sara and Rendeiro, Andre F. and Rathert, Philipp and You, Wanhui and Lin, Jung-Ming G. and Ringler, Anna and Hofstaetter, Gerald and Moll, Herwig P. and Guertl, Bettina and Farlik, Matthias and Schick, Sandra and Klepsch, Freya and Oldach, Matthew and Buphamalai, Pisanu and Schischlik, Fiorella and Majek, Peter and Parapatics, Katja and Schmidl, Christian and Schuster, Michael and Penz, Thomas and Buckley, Dennis L. and Hudecz, Otto and Imre, Richard and Wang, Shuang-Yan and Maric, Hans Michael and Kralovics, Robert and Bennett, Keiryn L. and Mueller, Andre C. and Mechtler, Karl and Menche, Joerg and Bradner, James E. and Winter, Georg E. and Klavins, Kristaps and Casanova, Emilio and Bock, Christoph and Zuber, Johannes and Kubicek, Stefan}, LANGUAGE = {eng}, ISSN = {1061-4036}, DOI = {10.1038/s41588-019-0413-z}, PUBLISHER = {Nature America, Inc.}, ADDRESS = {New York, NY}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nature Genetics}, VOLUME = {51}, NUMBER = {6}, PAGES = {990--998}, }
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%0 Journal Article %A Sdelci, Sara %A Rendeiro, Andre F. %A Rathert, Philipp %A You, Wanhui %A Lin, Jung-Ming G. %A Ringler, Anna %A Hofstaetter, Gerald %A Moll, Herwig P. %A Guertl, Bettina %A Farlik, Matthias %A Schick, Sandra %A Klepsch, Freya %A Oldach, Matthew %A Buphamalai, Pisanu %A Schischlik, Fiorella %A Majek, Peter %A Parapatics, Katja %A Schmidl, Christian %A Schuster, Michael %A Penz, Thomas %A Buckley, Dennis L. %A Hudecz, Otto %A Imre, Richard %A Wang, Shuang-Yan %A Maric, Hans Michael %A Kralovics, Robert %A Bennett, Keiryn L. %A Mueller, Andre C. %A Mechtler, Karl %A Menche, Joerg %A Bradner, James E. %A Winter, Georg E. %A Klavins, Kristaps %A Casanova, Emilio %A Bock, Christoph %A Zuber, Johannes %A Kubicek, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T MTHFD1 Interaction with BRD4 Links Folate Metabolism to Transcriptional Regulation : %G eng %U http://hdl.handle.net/21.11116/0000-0003-D413-8 %R 10.1038/s41588-019-0413-z %7 2019 %D 2019 %J Nature Genetics %O Nature Genet. %V 51 %N 6 %& 990 %P 990 - 998 %I Nature America, Inc. %C New York, NY %@ false
105. Sippl C, Ketter R, Braun L, Teping F, Schoeneberger L, Kim YJ, List M, Nakhoda A, Wemmert S, Oertel J, Urbschat S: miRNA-26a Expression Influences the Therapy Response to Carmustine Wafer Implantation in Patients with Glioblastoma Multiforme. Acta Neurochirurgica 2019, 161.
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@article{Sippl2019, TITLE = {{miRNA}-26a Expression Influences the Therapy Response to Carmustine Wafer Implantation in Patients with Glioblastoma Multiforme}, AUTHOR = {Sippl, Christoph and Ketter, Ralf and Braun, Luisa and Teping, Fritz and Schoeneberger, Louisa and Kim, Yoo Jin and List, Markus and Nakhoda, Arjang and Wemmert, Silke and Oertel, Joachim and Urbschat, Steffi}, LANGUAGE = {eng}, ISSN = {0001-6268}, DOI = {10.1007/s00701-019-04051-8}, PUBLISHER = {Springer-Verlag.}, ADDRESS = {Vienna}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Acta Neurochirurgica}, VOLUME = {161}, NUMBER = {11}, PAGES = {2299--2309}, }
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%0 Journal Article %A Sippl, Christoph %A Ketter, Ralf %A Braun, Luisa %A Teping, Fritz %A Schoeneberger, Louisa %A Kim, Yoo Jin %A List, Markus %A Nakhoda, Arjang %A Wemmert, Silke %A Oertel, Joachim %A Urbschat, Steffi %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T miRNA-26a Expression Influences the Therapy Response to Carmustine Wafer Implantation in Patients with Glioblastoma Multiforme : %G eng %U http://hdl.handle.net/21.11116/0000-0005-6B6C-B %R 10.1007/s00701-019-04051-8 %7 2019 %D 2019 %J Acta Neurochirurgica %O Acta Neurochir. %V 161 %N 11 %& 2299 %P 2299 - 2309 %I Springer-Verlag. %C Vienna %@ false
106. Soldatov R, Kaucka M, Kastriti ME, Petersen J, Chontorotzea T, Englmaier L, Akkuratova N, Yang Y, Haring M, Dyachuk V, Bock C, Farlik M, Piacentino ML, Boismoreau F, Hilscher MM, Yokota C, Qian X, Nilsson M, Bronner ME, Croci L, Hsiao W-Y, Guertin DA, Brunet J-F, Consalez GG, Ernfors P, Fried K, Kharchenko PV, Adameyko I: Spatiotemporal Structure of Cell Fate Decisions in Murine Neural Crest. Science 2019, 364.
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@article{Soldatov2019b, TITLE = {Spatiotemporal Structure of Cell Fate Decisions in Murine Neural Crest}, AUTHOR = {Soldatov, Ruslan and Kaucka, Marketa and Kastriti, Maria Eleni and Petersen, Julian and Chontorotzea, Tatiana and Englmaier, Lukas and Akkuratova, Natalia and Yang, Yunshi and Haring, Martin and Dyachuk, Viacheslav and Bock, Christoph and Farlik, Matthias and Piacentino, Michael L. and Boismoreau, Franck and Hilscher, Markus M. and Yokota, Chika and Qian, Xiaoyan and Nilsson, Mats and Bronner, Marianne E. and Croci, Laura and Hsiao, Wen-Yu and Guertin, David A. and Brunet, Jean-Francois and Consalez, Gian Giacomo and Ernfors, Patrik and Fried, Kaj and Kharchenko, Peter V. and Adameyko, Igor}, LANGUAGE = {eng}, ISSN = {0036-8075}, DOI = {10.1126/science.aas9536}, PUBLISHER = {AAAS}, ADDRESS = {Washington, D.C.}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Science}, VOLUME = {364}, NUMBER = {64444}, EID = {eaas9536}, }
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%0 Journal Article %A Soldatov, Ruslan %A Kaucka, Marketa %A Kastriti, Maria Eleni %A Petersen, Julian %A Chontorotzea, Tatiana %A Englmaier, Lukas %A Akkuratova, Natalia %A Yang, Yunshi %A Haring, Martin %A Dyachuk, Viacheslav %A Bock, Christoph %A Farlik, Matthias %A Piacentino, Michael L. %A Boismoreau, Franck %A Hilscher, Markus M. %A Yokota, Chika %A Qian, Xiaoyan %A Nilsson, Mats %A Bronner, Marianne E. %A Croci, Laura %A Hsiao, Wen-Yu %A Guertin, David A. %A Brunet, Jean-Francois %A Consalez, Gian Giacomo %A Ernfors, Patrik %A Fried, Kaj %A Kharchenko, Peter V. %A Adameyko, Igor %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Spatiotemporal Structure of Cell Fate Decisions in Murine Neural Crest : %G eng %U http://hdl.handle.net/21.11116/0000-0003-E117-5 %R 10.1126/science.aas9536 %7 2019 %D 2019 %J Science %O Science %V 364 %N 64444 %Z sequence number: eaas9536 %I AAAS %C Washington, D.C. %@ false
107. Ulz P, Perakis S, Zhou Q, Moser T, Belic J, Lazzeri I, Woelfler A, Zebisch A, Gerger A, Pristauz G, Petru E, White B, Roberts CES, St Johns J, Schimek MG, Geigl JB, Bauernhofer T, Sill H, Bock C, Heitzer E, Speicher MR: Inference of Transcription Factor Binding from Cell-free DNA Enables Tumor Subtype Prediction and Early Detection. Nature Communications 2019, 10.
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@article{Ulz_2019, TITLE = {Inference of Transcription Factor Binding from Cell-free {DNA} Enables Tumor Subtype Prediction and Early Detection}, AUTHOR = {Ulz, Peter and Perakis, Samantha and Zhou, Qing and Moser, Tina and Belic, Jelena and Lazzeri, Isaac and Woelfler, Albert and Zebisch, Armin and Gerger, Armin and Pristauz, Gunda and Petru, Edgar and White, Brandon and Roberts, Charles E. S. and St Johns, John and Schimek, Michael G. and Geigl, Jochen B. and Bauernhofer, Thomas and Sill, Heinz and Bock, Christoph and Heitzer, Ellen and Speicher, Michael R.}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-019-12714-4}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nature Communications}, VOLUME = {10}, EID = {4666}, }
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%0 Journal Article %A Ulz, Peter %A Perakis, Samantha %A Zhou, Qing %A Moser, Tina %A Belic, Jelena %A Lazzeri, Isaac %A Woelfler, Albert %A Zebisch, Armin %A Gerger, Armin %A Pristauz, Gunda %A Petru, Edgar %A White, Brandon %A Roberts, Charles E. S. %A St Johns, John %A Schimek, Michael G. %A Geigl, Jochen B. %A Bauernhofer, Thomas %A Sill, Heinz %A Bock, Christoph %A Heitzer, Ellen %A Speicher, Michael R. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Inference of Transcription Factor Binding from Cell-free DNA Enables Tumor Subtype Prediction and Early Detection : %G eng %U http://hdl.handle.net/21.11116/0000-0004-E6B9-8 %R 10.1038/s41467-019-12714-4 %7 2019 %D 2019 %J Nature Communications %O Nat. Commun. %V 10 %Z sequence number: 4666 %I Nature Publishing Group %C London %@ false
108. Ünal AB, Akgün M, Pfeifer N: A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. In Cryptology and Network Security (CANS 2019). Springer; 2019. [Lecture Notes in Computer Science, vol. 11829]
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@inproceedings{Uenal_CANS2019, TITLE = {A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine}, AUTHOR = {{\"U}nal, Ali Burak and Akg{\"u}n, Mete and Pfeifer, Nico}, LANGUAGE = {eng}, ISBN = {978-3-030-31577-1}, DOI = {10.1007/978-3-030-31578-8_27}, PUBLISHER = {Springer}, YEAR = {2019}, DATE = {2019}, BOOKTITLE = {Cryptology and Network Security (CANS 2019)}, EDITOR = {Mu, Yi and Deng, Robert H. and Huang, Xinyi}, PAGES = {493--511}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {11829}, ADDRESS = {Fuzhou, China}, }
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%0 Conference Proceedings %A &#220;nal, Ali Burak %A Akg&#252;n, Mete %A Pfeifer, Nico %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine : %G eng %U http://hdl.handle.net/21.11116/0000-0006-DB9F-1 %R 10.1007/978-3-030-31578-8_27 %D 2019 %B 18th International Conference on Cryptology and Network Security %Z date of event: 2019-10-25 - 2019-10-27 %C Fuzhou, China %B Cryptology and Network Security %E Mu, Yi; Deng, Robert H.; Huang, Xinyi %P 493 - 511 %I Springer %@ 978-3-030-31577-1 %B Lecture Notes in Computer Science %N 11829
109. Wenger AM, Peluso P, Rowell WJ, Chang P-C, Hall RJ, Concepcion GT, Ebler J, Fungtammasan A, Kolesnikov A, Olson ND, Topfer A, Alonge M, Mahmoud M, Qian Y, Chin C-S, Phillippy AM, Schate MC, Myers G, DePristo MA, Ruan J, Marschall T, Sedlazeck FJ, Zook JM, Li H, Koren S, Carroll A, Rank DR, Hunkapiller MW: Accurate Circular Consensus Long-read Sequencing Improves Variant Detection and Assembly of a Human Genome. Nature Biotechnology 2019, 37.
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@article{Wenger2019, TITLE = {Accurate Circular Consensus Long-read Sequencing Improves Variant Detection and Assembly of a Human Genome}, AUTHOR = {Wenger, Aaron M. and Peluso, Paul and Rowell, William J. and Chang, Pi-Chuan and Hall, Richard J. and Concepcion, Gregory T. and Ebler, Jana and Fungtammasan, Arkarachai and Kolesnikov, Alexey and Olson, Nathan D. and Topfer, Armin and Alonge, Michael and Mahmoud, Medhat and Qian, Yufeng and Chin, Chen-Shan and Phillippy, Adam M. and Schate, Michael C. and Myers, Gene and DePristo, Mark A. and Ruan, Jue and Marschall, Tobias and Sedlazeck, Fritz J. and Zook, Justin M. and Li, Heng and Koren, Sergey and Carroll, Andrew and Rank, David R. and Hunkapiller, Michael W.}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/s41587-019-0217-9}, PUBLISHER = {Gale Group Inc.}, ADDRESS = {New York}, YEAR = {2019}, DATE = {2019}, JOURNAL = {Nature Biotechnology}, VOLUME = {37}, PAGES = {1155--1162}, }
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%0 Journal Article %A Wenger, Aaron M. %A Peluso, Paul %A Rowell, William J. %A Chang, Pi-Chuan %A Hall, Richard J. %A Concepcion, Gregory T. %A Ebler, Jana %A Fungtammasan, Arkarachai %A Kolesnikov, Alexey %A Olson, Nathan D. %A Topfer, Armin %A Alonge, Michael %A Mahmoud, Medhat %A Qian, Yufeng %A Chin, Chen-Shan %A Phillippy, Adam M. %A Schate, Michael C. %A Myers, Gene %A DePristo, Mark A. %A Ruan, Jue %A Marschall, Tobias %A Sedlazeck, Fritz J. %A Zook, Justin M. %A Li, Heng %A Koren, Sergey %A Carroll, Andrew %A Rank, David R. %A Hunkapiller, Michael W. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Accurate Circular Consensus Long-read Sequencing Improves Variant Detection and Assembly of a Human Genome : %G eng %U http://hdl.handle.net/21.11116/0000-0005-6AF6-F %R 10.1038/s41587-019-0217-9 %7 2019 %D 2019 %J Nature Biotechnology %V 37 %& 1155 %P 1155 - 1162 %I Gale Group Inc. %C New York %@ false
110. Wiegand SB, Beggel B, Wranke A, Aliabadi E, Jaroszewicz J, Xu C-J, Li Y, Manns MP, Lengauer T, Wedemeyer H, Kraft ARM, Falk CS, Cornberg M: Soluble Immune Markers in the Different Phases of Chronic Hepatitis B Virus Infection. Scientific Reports 2019, 9.
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@article{Wiegand_2019, TITLE = {Soluble immune markers in the different phases of chronic hepatitis {B} virus infection}, AUTHOR = {Wiegand, Steffen B. and Beggel, Bastian and Wranke, Anika and Aliabadi, Elmira and Jaroszewicz, Jerzy and Xu, Cheng-Jian and Li, Yang and Manns, Michael P. and Lengauer, Thomas and Wedemeyer, Heiner and Kraft, Anke R. M. and Falk, Christine S. and Cornberg, Markus}, LANGUAGE = {eng}, ISSN = {2045-2322}, DOI = {10.1038/s41598-019-50729-5}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2019}, JOURNAL = {Scientific Reports}, VOLUME = {9}, EID = {14118}, }
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%0 Journal Article %A Wiegand, Steffen B. %A Beggel, Bastian %A Wranke, Anika %A Aliabadi, Elmira %A Jaroszewicz, Jerzy %A Xu, Cheng-Jian %A Li, Yang %A Manns, Michael P. %A Lengauer, Thomas %A Wedemeyer, Heiner %A Kraft, Anke R. M. %A Falk, Christine S. %A Cornberg, Markus %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Soluble Immune Markers in the Different Phases of Chronic Hepatitis B Virus Infection : %G eng %U http://hdl.handle.net/21.11116/0000-0004-E49F-8 %R 10.1038/s41598-019-50729-5 %2 PMC6773856 %7 2019 %D 2019 %J Scientific Reports %O Sci. Rep. %V 9 %Z sequence number: 14118 %I Nature Publishing Group %C London, UK %@ false
111. Yi G, Wierenga ATJ, Petraglia F, Narang P, Janssen-Megens EM, Mandoli A, Merkel A, Berentsen K, Kim B, Matarese F, Singh AA, Habibi E, Prange KHM, Mulder AB, Jansen JH, Clarke L, Heath S, van der Reijden BA, Flicek P, Yaspo M-L, Gut I, Bock C, Schuringa JJ, Altucci L, Vellenga E, Stunnenberg HG, Martens J, H. A: Chromatin-Based Classification of Genetically Heterogeneous AMLs into Two Distinct Subtypes with Diverse Stemness Phenotypes. Cell Reports 2019, 26.
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@article{Yi2019, TITLE = {Chromatin-Based Classification of Genetically Heterogeneous {AMLs} into Two Distinct Subtypes with Diverse Stemness Phenotypes}, AUTHOR = {Yi, Guoqiang and Wierenga, Albertus T. J. and Petraglia, Francesca and Narang, Pankaj and Janssen-Megens, Eva M. and Mandoli, Amit and Merkel, Angelika and Berentsen, Kim and Kim, Bowon and Matarese, Filomena and Singh, Abhishek A. and Habibi, Ehsan and Prange, Koen H. M. and Mulder, Andre B. and Jansen, Joop H. and Clarke, Laura and Heath, Simon and van der Reijden, Bert A. and Flicek, Paul and Yaspo, Marie-Laure and Gut, Ivo and Bock, Christoph and Schuringa, Jan Jacob and Altucci, Lucia and Vellenga, Edo and Stunnenberg, Hendrik G. and Martens, Joost and H., A.}, LANGUAGE = {eng}, ISSN = {2211-1247}, DOI = {10.1016/j.celrep.2018.12.098}, PUBLISHER = {Cell Press}, ADDRESS = {Maryland Heights, MO}, YEAR = {2019}, JOURNAL = {Cell Reports}, VOLUME = {26}, NUMBER = {4}, PAGES = {1059--1069}, EID = {e6}, }
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%0 Journal Article %A Yi, Guoqiang %A Wierenga, Albertus T. J. %A Petraglia, Francesca %A Narang, Pankaj %A Janssen-Megens, Eva M. %A Mandoli, Amit %A Merkel, Angelika %A Berentsen, Kim %A Kim, Bowon %A Matarese, Filomena %A Singh, Abhishek A. %A Habibi, Ehsan %A Prange, Koen H. M. %A Mulder, Andre B. %A Jansen, Joop H. %A Clarke, Laura %A Heath, Simon %A van der Reijden, Bert A. %A Flicek, Paul %A Yaspo, Marie-Laure %A Gut, Ivo %A Bock, Christoph %A Schuringa, Jan Jacob %A Altucci, Lucia %A Vellenga, Edo %A Stunnenberg, Hendrik G. %A Martens, Joost %A H., A. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Chromatin-Based Classification of Genetically Heterogeneous AMLs into Two Distinct Subtypes with Diverse Stemness Phenotypes : %G eng %U http://hdl.handle.net/21.11116/0000-0002-F6CB-4 %R 10.1016/j.celrep.2018.12.098 %7 2019 %D 2019 %J Cell Reports %V 26 %N 4 %& 1059 %P 1059 - 1069 %Z sequence number: e6 %I Cell Press %C Maryland Heights, MO %@ false
2018
112. Allison TF, Andrews PW, Avior Y, Barbaric I, Benvenisty N, Bock C, Brehm J, Bruestle O, Damjanov I, Elefanty A, Felkner D, Gokhale PJ, Halbritter F, Healy LE, Hu TX, Knowles BB, Loring JF, Ludwig TE, Mayberry R, Micallef S, Mohamed JS, Mueller F-J, Mummery CL, Nakatsuji N, Ng ES, Oh SKW, O’Shea O, Pera MF, Reubinoff B, Robson P, et al.: Assessment of Established Techniques to Determine Developmental and Malignant Potential of Human Pluripotent Stem Cells. Nature Communications 2018.
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@article{Allison2018, TITLE = {Assessment of Established Techniques to Determine Developmental and Malignant Potential of Human Pluripotent Stem Cells}, AUTHOR = {Allison, Thomas F. and Andrews, Peter W. and Avior, Yishai and Barbaric, Ivana and Benvenisty, Nissim and Bock, Christoph and Brehm, Jennifer and Bruestle, Oliver and Damjanov, Ivan and Elefanty, Andrew and Felkner, Daniel and Gokhale, Paul J. and Halbritter, Florian and Healy, Lyn E. and Hu, Tim X. and Knowles, Barbara B. and Loring, Jeanne F. and Ludwig, Tenneille E. and Mayberry, Robyn and Micallef, Suzanne and Mohamed, Jameelah S. and Mueller, Franz-Josef and Mummery, Christine L. and Nakatsuji, Norio and Ng, Elizabeth S. and Oh, Steve K. W. and O'Shea, Orla and Pera, Martin F. and Reubinoff, Benjamin and Robson, Paul and Rossant, Janet and Schuldt, Bernhard M. and Solter, Davor and Sourris, Koula and Stacey, Glyn and Stanley, Edouard G. and Suemori, Hirofumi and Takahashi, Kazutoshi and Yamanaka, Shinya}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-018-04011-3}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2018}, JOURNAL = {Nature Communications}, EID = {1925}, }
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%0 Journal Article %A Allison, Thomas F. %A Andrews, Peter W. %A Avior, Yishai %A Barbaric, Ivana %A Benvenisty, Nissim %A Bock, Christoph %A Brehm, Jennifer %A Bruestle, Oliver %A Damjanov, Ivan %A Elefanty, Andrew %A Felkner, Daniel %A Gokhale, Paul J. %A Halbritter, Florian %A Healy, Lyn E. %A Hu, Tim X. %A Knowles, Barbara B. %A Loring, Jeanne F. %A Ludwig, Tenneille E. %A Mayberry, Robyn %A Micallef, Suzanne %A Mohamed, Jameelah S. %A Mueller, Franz-Josef %A Mummery, Christine L. %A Nakatsuji, Norio %A Ng, Elizabeth S. %A Oh, Steve K. W. %A O'Shea, Orla %A Pera, Martin F. %A Reubinoff, Benjamin %A Robson, Paul %A Rossant, Janet %A Schuldt, Bernhard M. %A Solter, Davor %A Sourris, Koula %A Stacey, Glyn %A Stanley, Edouard G. %A Suemori, Hirofumi %A Takahashi, Kazutoshi %A Yamanaka, Shinya %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Assessment of Established Techniques to Determine Developmental and Malignant Potential of Human Pluripotent Stem Cells : %G eng %U http://hdl.handle.net/21.11116/0000-0001-66DB-6 %R 10.1038/s41467-018-04011-3 %7 2018 %D 2018 %J Nature Communications %O Nat. Commun. %Z sequence number: 1925 %I Nature Publishing Group %C London %@ false
113. Apweiler R, Beissbarth T, Berthold MR, Bluethgen N, Burmeister Y, Dammann O, Deutsch A, Feuerhake F, Franke A, Hasenauer J, Hoffmann S, Hoefer T, Jansen PLM, Kaderali L, Klingmueller U, Koch I, Kohlbacher O, Kuepfer L, Lammert F, Maier D, Pfeifer N, Radde N, Rehm M, Roeder I, Saez-Rodriguez J, Sax U, Schmeck B, Schuppert A, Seilheimer B, Theis FJ, et al.: Whither systems medicine?Experimental & Molecular Medicine 2018, 50.
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@article{Apweiler2018, TITLE = {Whither systems medicine?}, AUTHOR = {Apweiler, Rolf and Beissbarth, Tim and Berthold, Michael R. and Bluethgen, Nils and Burmeister, Yvonne and Dammann, Olaf and Deutsch, Andreas and Feuerhake, Friedrich and Franke, Andre and Hasenauer, Jan and Hoffmann, Steve and Hoefer, Thomas and Jansen, Peter L. M. and Kaderali, Lars and Klingmueller, Ursula and Koch, Ina and Kohlbacher, Oliver and Kuepfer, Lars and Lammert, Frank and Maier, Dieter and Pfeifer, Nico and Radde, Nicole and Rehm, Markus and Roeder, Ingo and Saez-Rodriguez, Julio and Sax, Ulrich and Schmeck, Bernd and Schuppert, Andreas and Seilheimer, Bernd and Theis, Fabian J. and Vera, Julio and Wolkenhauer, Olaf}, LANGUAGE = {eng}, ISSN = {2092-6413}, DOI = {10.1038/emm.2017.290}, PUBLISHER = {Korean Society of Medical Biochemistry and Molecular Biology}, ADDRESS = {Seoul}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Experimental \& Molecular Medicine}, VOLUME = {50}, EID = {e453}, }
Endnote
%0 Journal Article %A Apweiler, Rolf %A Beissbarth, Tim %A Berthold, Michael R. %A Bluethgen, Nils %A Burmeister, Yvonne %A Dammann, Olaf %A Deutsch, Andreas %A Feuerhake, Friedrich %A Franke, Andre %A Hasenauer, Jan %A Hoffmann, Steve %A Hoefer, Thomas %A Jansen, Peter L. M. %A Kaderali, Lars %A Klingmueller, Ursula %A Koch, Ina %A Kohlbacher, Oliver %A Kuepfer, Lars %A Lammert, Frank %A Maier, Dieter %A Pfeifer, Nico %A Radde, Nicole %A Rehm, Markus %A Roeder, Ingo %A Saez-Rodriguez, Julio %A Sax, Ulrich %A Schmeck, Bernd %A Schuppert, Andreas %A Seilheimer, Bernd %A Theis, Fabian J. %A Vera, Julio %A Wolkenhauer, Olaf %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Whither systems medicine? : %G eng %U http://hdl.handle.net/21.11116/0000-0001-2D95-5 %R 10.1038/emm.2017.290 %7 2018 %D 2018 %J Experimental & Molecular Medicine %O EMM %V 50 %Z sequence number: e453 %I Korean Society of Medical Biochemistry and Molecular Biology %C Seoul %@ false
114. Barakat TS, Halbritter F, Zhang M, Rendeiro AF, Perenthaler E, Bock C, Chambers I: Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells. Cell Stem Cell 2018, 23.
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@article{Bakarat2018, TITLE = {Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells}, AUTHOR = {Barakat, Tahsin Stefan and Halbritter, Florian and Zhang, Man and Rendeiro, Andre F. and Perenthaler, Elena and Bock, Christoph and Chambers, Ian}, LANGUAGE = {eng}, ISSN = {1934-5909; 1875-9777}, DOI = {10.1016/j.stem.2018.06.014}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Cell Stem Cell}, VOLUME = {23}, NUMBER = {2}, PAGES = {276--288}, EID = {e8}, }
Endnote
%0 Journal Article %A Barakat, Tahsin Stefan %A Halbritter, Florian %A Zhang, Man %A Rendeiro, Andre F. %A Perenthaler, Elena %A Bock, Christoph %A Chambers, Ian %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells : %G eng %U http://hdl.handle.net/21.11116/0000-0001-EE1A-7 %R 10.1016/j.stem.2018.06.014 %7 2018 %D 2018 %J Cell Stem Cell %V 23 %N 2 %& 276 %P 276 - 288 %Z sequence number: e8 %I Elsevier %C Amsterdam %@ false
115. Bar-On Y, Gruell H, Schoofs T, Pai JA, Nogueira L, Butler AL, Millard K, Lehmann C, Suarez I, Oliveira TY, Karagounis T, Cohen YZ, Wyen C, Scholten S, Handl L, Belblidia S, Dizon JP, Vehreschild JJ, Witmer-Pack M, Shimeliovich I, Jain K, Fiddike K, Seaton KE, Yates NL, Horowitz J, Gulick RM, Pfeifer N, Tomaras GD, Seaman MS, Faetkenheuer G, et al.: Safety and Antiviral Activity of Combination HIV-1 Broadly Neutralizing Antibodies in Viremic Individuals. Nature Medicine 2018, 24.
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@article{Bar-On_2018, TITLE = {Safety and antiviral activity of combination {HIV}-1 broadly neutralizing antibodies in viremic individuals}, AUTHOR = {Bar-On, Yotam and Gruell, Henning and Schoofs, Till and Pai, Joy A. and Nogueira, Lilian and Butler, Allison L. and Millard, Katrina and Lehmann, Clara and Suarez, Isabelle and Oliveira, Thiago Y. and Karagounis, Theodora and Cohen, Yehuda Z. and Wyen, Christoph and Scholten, Stefan and Handl, Lisa and Belblidia, Shiraz and Dizon, Juan P. and Vehreschild, Joerg J. and Witmer-Pack, Maggi and Shimeliovich, Irina and Jain, Kanika and Fiddike, Kerstin and Seaton, Kelly E. and Yates, Nicole L. and Horowitz, Jill and Gulick, Roy M. and Pfeifer, Nico and Tomaras, Georgia D. and Seaman, Michael S. and Faetkenheuer, Gerd and Caskey, Marina and Klein, Florian and Nussenzweig, Michel C.}, LANGUAGE = {eng}, ISSN = {1078-8956}, DOI = {10.1038/s41591-018-0186-4}, PUBLISHER = {Nature Pub. Co.}, ADDRESS = {New York, NY}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Nature Medicine}, VOLUME = {24}, NUMBER = {1}, PAGES = {1701--1707}, }
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%0 Journal Article %A Bar-On, Yotam %A Gruell, Henning %A Schoofs, Till %A Pai, Joy A. %A Nogueira, Lilian %A Butler, Allison L. %A Millard, Katrina %A Lehmann, Clara %A Suarez, Isabelle %A Oliveira, Thiago Y. %A Karagounis, Theodora %A Cohen, Yehuda Z. %A Wyen, Christoph %A Scholten, Stefan %A Handl, Lisa %A Belblidia, Shiraz %A Dizon, Juan P. %A Vehreschild, Joerg J. %A Witmer-Pack, Maggi %A Shimeliovich, Irina %A Jain, Kanika %A Fiddike, Kerstin %A Seaton, Kelly E. %A Yates, Nicole L. %A Horowitz, Jill %A Gulick, Roy M. %A Pfeifer, Nico %A Tomaras, Georgia D. %A Seaman, Michael S. %A Faetkenheuer, Gerd %A Caskey, Marina %A Klein, Florian %A Nussenzweig, Michel C. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Safety and Antiviral Activity of Combination HIV-1 Broadly Neutralizing Antibodies in Viremic Individuals : %G eng %U http://hdl.handle.net/21.11116/0000-0002-8636-A %R 10.1038/s41591-018-0186-4 %7 2018 %D 2018 %J Nature Medicine %O Nat. Med. %V 24 %N 1 %& 1701 %P 1701 - 1707 %I Nature Pub. Co. %C New York, NY %@ false
116. Bastys T: Analysis of the protein-Ligand and protein-peptide interactions using a combined sequence- and structure-based approach. Universität des Saarlandes; 2018.
Abstract
Proteins participate in most of the important processes in cells, and their ability to perform their function ultimately depends on their three-dimensional structure. They usually act in these processes through interactions with other molecules. Because of the importance of their role, proteins are also the common target for small molecule drugs that inhibit their activity, which may include targeting protein interactions. Understanding protein interactions and how they are affected by mutations is thus crucial for combating drug resistance and aiding drug design. This dissertation combines bioinformatics studies of protein interactions at both primary sequence and structural level. We analyse protein-protein interactions through linear motifs, as well as protein-small molecule interactions, and study how mutations affect them. This is done in the context of two systems. In the first study of drug resistance mutations in the protease of the human immunodeficiency virus type 1, we successfully apply molecular dynamics simulations to estimate the effects of known resistance-associated mutations on the free binding energy, also revealing molecular mechanisms of resistance. In the second study, we analyse consensus profiles of linear motifs that mediate the recognition by the mitogen-activated protein kinases of their target proteins. We thus gain insights into the cellular processes these proteins are involved in.
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@phdthesis{Bastysphd2013, TITLE = {Analysis of the protein-Ligand and protein-peptide interactions using a combined sequence- and structure-based approach}, AUTHOR = {Bastys, Tomas}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-279202}, DOI = {10.22028/D291-27920}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2018}, DATE = {2018}, ABSTRACT = {Proteins participate in most of the important processes in cells, and their ability to perform their function ultimately depends on their three-dimensional structure. They usually act in these processes through interactions with other molecules. Because of the importance of their role, proteins are also the common target for small molecule drugs that inhibit their activity, which may include targeting protein interactions. Understanding protein interactions and how they are affected by mutations is thus crucial for combating drug resistance and aiding drug design. This dissertation combines bioinformatics studies of protein interactions at both primary sequence and structural level. We analyse protein-protein interactions through linear motifs, as well as protein-small molecule interactions, and study how mutations affect them. This is done in the context of two systems. In the first study of drug resistance mutations in the protease of the human immunodeficiency virus type 1, we successfully apply molecular dynamics simulations to estimate the effects of known resistance-associated mutations on the free binding energy, also revealing molecular mechanisms of resistance. In the second study, we analyse consensus profiles of linear motifs that mediate the recognition by the mitogen-activated protein kinases of their target proteins. We thus gain insights into the cellular processes these proteins are involved in.}, }
Endnote
%0 Thesis %A Bastys, Tomas %Y Kalinina, Olga V. %A referee: Helms, Volkhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Analysis of the protein-Ligand and protein-peptide interactions using a combined sequence- and structure-based approach : %G eng %U http://hdl.handle.net/21.11116/0000-0003-CE47-6 %R 10.22028/D291-27920 %U urn:nbn:de:bsz:291--ds-279202 %F OTHER: hdl:20.500.11880/27455 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2018 %P 134 p. %V phd %9 phd %X Proteins participate in most of the important processes in cells, and their ability to perform their function ultimately depends on their three-dimensional structure. They usually act in these processes through interactions with other molecules. Because of the importance of their role, proteins are also the common target for small molecule drugs that inhibit their activity, which may include targeting protein interactions. Understanding protein interactions and how they are affected by mutations is thus crucial for combating drug resistance and aiding drug design. This dissertation combines bioinformatics studies of protein interactions at both primary sequence and structural level. We analyse protein-protein interactions through linear motifs, as well as protein-small molecule interactions, and study how mutations affect them. This is done in the context of two systems. In the first study of drug resistance mutations in the protease of the human immunodeficiency virus type 1, we successfully apply molecular dynamics simulations to estimate the effects of known resistance-associated mutations on the free binding energy, also revealing molecular mechanisms of resistance. In the second study, we analyse consensus profiles of linear motifs that mediate the recognition by the mitogen-activated protein kinases of their target proteins. We thus gain insights into the cellular processes these proteins are involved in. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27455
117. Bastys T, Gapsys V, Doncheva NT, Kaiser R, de Groot BL, Kalinina OV: Consistent Prediction of Mutation Effect on Drug Binding in HIV-1 Protease Using Alchemical Calculations. Journal of Chemical Theory and Computation 2018, 14.
Abstract
Despite of a large number of antiretroviral drugs targeting HIV-1 protease for inhibition, mutations in this protein during the course of patient treatment can render them inefficient. This emerging resistance inspired numerous computational studies of the HIV-1 protease aimed at predicting the effect of mutations on drug binding in terms of free binding energy $\Delta G$, as well as in mechanistic terms. In this study, we analyse ten different protease-inhibitor complexes carrying major resistance-associated mutations (RAMs) G48V, I50V, and L90M using molecular dynamics simulations. We demonstrate that alchemical free energy calculations can consistently predict the effect of mutations on drug binding. By explicitly probing different protonation states of the catalytic aspartic dyad, we reveal the importance of the correct choice of protonation state for the accuracy of the result. We also provide insight into how different mutations affect drug binding in their specific ways, with the unifying theme of how all of them affect the crucial for drug binding regions of the protease.
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@article{Bastys2018, TITLE = {Consistent Prediction of Mutation Effect on Drug Binding in {HIV}-1 Protease Using Alchemical Calculations}, AUTHOR = {Bastys, Tomas and Gapsys, Vytautas and Doncheva, Nadezhda Tsankova and Kaiser, Rolf and de Groot, Bert L. and Kalinina, Olga V.}, LANGUAGE = {eng}, DOI = {10.1021/acs.jctc.7b01109}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2018}, DATE = {2018}, ABSTRACT = {Despite of a large number of antiretroviral drugs targeting HIV-1 protease for inhibition, mutations in this protein during the course of patient treatment can render them inefficient. This emerging resistance inspired numerous computational studies of the HIV-1 protease aimed at predicting the effect of mutations on drug binding in terms of free binding energy $\Delta G$, as well as in mechanistic terms. In this study, we analyse ten different protease-inhibitor complexes carrying major resistance-associated mutations (RAMs) G48V, I50V, and L90M using molecular dynamics simulations. We demonstrate that alchemical free energy calculations can consistently predict the effect of mutations on drug binding. By explicitly probing different protonation states of the catalytic aspartic dyad, we reveal the importance of the correct choice of protonation state for the accuracy of the result. We also provide insight into how different mutations affect drug binding in their specific ways, with the unifying theme of how all of them affect the crucial for drug binding regions of the protease.}, JOURNAL = {Journal of Chemical Theory and Computation}, VOLUME = {14}, NUMBER = {7}, PAGES = {3397--3408}, }
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%0 Journal Article %A Bastys, Tomas %A Gapsys, Vytautas %A Doncheva, Nadezhda Tsankova %A Kaiser, Rolf %A de Groot, Bert L. %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Consistent Prediction of Mutation Effect on Drug Binding in HIV-1 Protease Using Alchemical Calculations : %G eng %U http://hdl.handle.net/21.11116/0000-0001-E5BA-B %R 10.1021/acs.jctc.7b01109 %7 2018-05-30 %D 2018 %* Review method: peer-reviewed %X Despite of a large number of antiretroviral drugs targeting HIV-1 protease for inhibition, mutations in this protein during the course of patient treatment can render them inefficient. This emerging resistance inspired numerous computational studies of the HIV-1 protease aimed at predicting the effect of mutations on drug binding in terms of free binding energy $\Delta G$, as well as in mechanistic terms. In this study, we analyse ten different protease-inhibitor complexes carrying major resistance-associated mutations (RAMs) G48V, I50V, and L90M using molecular dynamics simulations. We demonstrate that alchemical free energy calculations can consistently predict the effect of mutations on drug binding. By explicitly probing different protonation states of the catalytic aspartic dyad, we reveal the importance of the correct choice of protonation state for the accuracy of the result. We also provide insight into how different mutations affect drug binding in their specific ways, with the unifying theme of how all of them affect the crucial for drug binding regions of the protease. %J Journal of Chemical Theory and Computation %O J. Chem. Theory Comput. %V 14 %N 7 %& 3397 %P 3397 - 3408 %I American Chemical Society %C Washington, D.C.
118. Baumgartner C, Toifl S, Farlik M, Halbritter F, Scheicher R, Fischer I, Sexl V, Bock C, Baccarini M: An ERK-Dependent Feedback Mechanism Prevents Hematopoietic Stem Cell Exhaustion. Cell Stem Cell 2018, 22.
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@article{Baumgartner2018, TITLE = {An {ERK}-Dependent Feedback Mechanism Prevents Hematopoietic Stem Cell Exhaustion}, AUTHOR = {Baumgartner, Christian and Toifl, Stefanie and Farlik, Matthias and Halbritter, Florian and Scheicher, Ruth and Fischer, Irmgard and Sexl, Veronika and Bock, Christoph and Baccarini, Manuela}, LANGUAGE = {eng}, ISSN = {1934-5909}, DOI = {10.1016/j.stem.2018.05.003}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Cell Stem Cell}, VOLUME = {22}, NUMBER = {6}, PAGES = {879--892}, EID = {e6}, }
Endnote
%0 Journal Article %A Baumgartner, Christian %A Toifl, Stefanie %A Farlik, Matthias %A Halbritter, Florian %A Scheicher, Ruth %A Fischer, Irmgard %A Sexl, Veronika %A Bock, Christoph %A Baccarini, Manuela %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T An ERK-Dependent Feedback Mechanism Prevents Hematopoietic Stem Cell Exhaustion : %G eng %U http://hdl.handle.net/21.11116/0000-0001-88D5-5 %R 10.1016/j.stem.2018.05.003 %7 2018 %D 2018 %J Cell Stem Cell %V 22 %N 6 %& 879 %P 879 - 892 %Z sequence number: e6 %I Cell Press %C Cambridge, Mass. %@ false
119. Behjati Ardakani F, Kattler K, Nordstroem K, Gasparoni N, Gasparoni G, Fuchs S, Sinha A, Barann M, Ebert P, Fischer J, Hutter B, Zipprich G, Imbusch CD, Felder B, Eils J, Brors B, Lengauer T, Manke T, Rosenstiel P, Walter J, Schulz MH: Integrative Analysis of Single-Cell Expression Data Reveals Distinct Regulatory States in Bidirectional Promoters. Epigenetics & Chromatin 2018, 11.
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@article{Ardakani2018, TITLE = {Integrative Analysis of Single-Cell Expression Data Reveals Distinct Regulatory States in Bidirectional Promoters}, AUTHOR = {Behjati Ardakani, Fatemeh and Kattler, Kathrin and Nordstroem, Karl and Gasparoni, Nina and Gasparoni, Gilles and Fuchs, Sarah and Sinha, Anupam and Barann, Matthias and Ebert, Peter and Fischer, Jonas and Hutter, Barbara and Zipprich, Gideon and Imbusch, Charles D. and Felder, Baerbel and Eils, Juergen and Brors, Benedikt and Lengauer, Thomas and Manke, Thomas and Rosenstiel, Philip and Walter, Joern and Schulz, Marcel Holger}, LANGUAGE = {eng}, DOI = {10.1186/s13072-018-0236-7}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2018}, JOURNAL = {Epigenetics \& Chromatin}, VOLUME = {11}, EID = {66}, }
Endnote
%0 Journal Article %A Behjati Ardakani, Fatemeh %A Kattler, Kathrin %A Nordstroem, Karl %A Gasparoni, Nina %A Gasparoni, Gilles %A Fuchs, Sarah %A Sinha, Anupam %A Barann, Matthias %A Ebert, Peter %A Fischer, Jonas %A Hutter, Barbara %A Zipprich, Gideon %A Imbusch, Charles D. %A Felder, Baerbel %A Eils, Juergen %A Brors, Benedikt %A Lengauer, Thomas %A Manke, Thomas %A Rosenstiel, Philip %A Walter, Joern %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrative Analysis of Single-Cell Expression Data Reveals Distinct Regulatory States in Bidirectional Promoters : %G eng %U http://hdl.handle.net/21.11116/0000-0002-D61C-E %R 10.1186/s13072-018-0236-7 %7 2018 %D 2018 %J Epigenetics & Chromatin %V 11 %Z sequence number: 66 %I BioMed Central %C London
120. Chakraborty S, Canzar S, Marschall T, Schulz MH: Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data. In Research in Computational Molecular Biology (RECOMB 2018). Springer; 2018. [Lecture Notes in Bioinformatics, vol. 10812]
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@inproceedings{Chakraborty_RECOMB2018, TITLE = {Chromatyping: {R}econstructing Nucleosome Profiles from {NOMe} Sequencing Data}, AUTHOR = {Chakraborty, Shounak and Canzar, Stefan and Marschall, Tobias and Schulz, Marcel H.}, LANGUAGE = {eng}, ISBN = {978-3-319-89928-2}, DOI = {10.1007/978-3-319-89929-9_2}, PUBLISHER = {Springer}, YEAR = {2018}, DATE = {2018}, BOOKTITLE = {Research in Computational Molecular Biology (RECOMB 2018)}, EDITOR = {Raphael, Benjamin H.}, PAGES = {21--36}, SERIES = {Lecture Notes in Bioinformatics}, VOLUME = {10812}, ADDRESS = {Paris, France}, }
Endnote
%0 Conference Proceedings %A Chakraborty, Shounak %A Canzar, Stefan %A Marschall, Tobias %A Schulz, Marcel H. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data : %G eng %U http://hdl.handle.net/21.11116/0000-0001-404B-3 %R 10.1007/978-3-319-89929-9_2 %D 2018 %B 22nd International Conference on Research in Computational Molecular Biology %Z date of event: 2018-04-21 - 2018-04-24 %C Paris, France %B Research in Computational Molecular Biology %E Raphael, Benjamin H. %P 21 - 36 %I Springer %@ 978-3-319-89928-2 %B Lecture Notes in Bioinformatics %N 10812
121. Dheghani Amirabad A, Ramasamy P, Wierz M, Nordstroem K, Kessler SM, Schulz MH, Simon M: Transgenic Expression of the RNA Binding Protein IMP2 Stabilizes miRNA Targets in Murine Microsteatosis. Biochimica et Biophysica Acta - Molecular Basis of Disease 2018, 1864.
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@article{Dheghani_2018, TITLE = {Transgenic expression of the {RNA} binding protein {IMP2} stabilizes {miRNA} targets in murine microsteatosis}, AUTHOR = {Dheghani Amirabad, Azim and Ramasamy, Pathmanaban and Wierz, Marina and Nordstroem, Karl and Kessler, Sonja M. and Schulz, Marcel H. and Simon, Martin}, LANGUAGE = {eng}, ISSN = {0925-4439}, DOI = {10.1016/j.bbadis.2018.05.024}, PUBLISHER = {Elsevier}, ADDRESS = {New York, NY}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Biochimica et Biophysica Acta -- Molecular Basis of Disease}, VOLUME = {1864}, NUMBER = {10}, PAGES = {3099--3108}, }
Endnote
%0 Journal Article %A Dheghani Amirabad, Azim %A Ramasamy, Pathmanaban %A Wierz, Marina %A Nordstroem, Karl %A Kessler, Sonja M. %A Schulz, Marcel H. %A Simon, Martin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Transgenic Expression of the RNA Binding Protein IMP2 Stabilizes miRNA Targets in Murine Microsteatosis : %G eng %U http://hdl.handle.net/21.11116/0000-0002-576D-3 %R 10.1016/j.bbadis.2018.05.024 %7 2018 %D 2018 %J Biochimica et Biophysica Acta - Molecular Basis of Disease %O Biochim. Biophys. Acta-Mol. Basis Dis. %V 1864 %N 10 %& 3099 %P 3099 - 3108 %I Elsevier %C New York, NY %@ false
122. Döring M, Büch J, Friedrich G, Pironti A, Kalaghatgi P, Knops E, Heger E, Obermeier M, Däumer M, Thielen A, Kaiser R, Lengauer T, Pfeifer N: Geno2pheno[ngs-freq]: a Genotypic Interpretation System for Identifying Viral Drug Resistance using Next-Generation Sequencing Data. Nucleic Acids Research 2018, 46(Web Server issue).
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@article{Doering2018, TITLE = {Geno2pheno[ngs-freq]: a Genotypic Interpretation System for Identifying Viral Drug Resistance using Next-Generation Sequencing Data}, AUTHOR = {D{\"o}ring, Matthias and B{\"u}ch, Joachim and Friedrich, Georg and Pironti, Alejandro and Kalaghatgi, Prabhav and Knops, Elena and Heger, Eva and Obermeier, Martin and D{\"a}umer, Martin and Thielen, Alexander and Kaiser, Rolf and Lengauer, Thomas and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gky349}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Nucleic Acids Research}, VOLUME = {46}, NUMBER = {Web Server issue}, PAGES = {W271--W277}, EID = {gky349}, }
Endnote
%0 Journal Article %A D&#246;ring, Matthias %A B&#252;ch, Joachim %A Friedrich, Georg %A Pironti, Alejandro %A Kalaghatgi, Prabhav %A Knops, Elena %A Heger, Eva %A Obermeier, Martin %A D&#228;umer, Martin %A Thielen, Alexander %A Kaiser, Rolf %A Lengauer, Thomas %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno[ngs-freq]: a Genotypic Interpretation System for Identifying Viral Drug Resistance using Next-Generation Sequencing Data : %G eng %U http://hdl.handle.net/21.11116/0000-0001-3F53-C %R 10.1093/nar/gky349 %2 PMC6031006 %7 2018 %D 2018 %J Nucleic Acids Research %O Nucleic Acids Res %V 46 %N Web Server issue %& W271 %P W271 - W277 %Z sequence number: gky349 %I Oxford University Press %C Oxford %@ false
123. Durai DA, Schulz MH: In silico Read Normalization using Set Multi-cover Optimization. Bioinformatics 2018, 34.
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@article{Durai2018, TITLE = {In silico Read Normalization using Set Multi-cover Optimization}, AUTHOR = {Durai, Dilip Ariyur and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty307}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Bioinformatics}, VOLUME = {34}, NUMBER = {19}, PAGES = {3273--3280}, }
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%0 Journal Article %A Durai, Dilip Ariyur %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T In silico Read Normalization using Set Multi-cover Optimization : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5C51-C %R 10.1093/bioinformatics/bty307 %7 2018 %D 2018 %J Bioinformatics %V 34 %N 19 %& 3273 %P 3273 - 3280 %I Oxford University Press %C Oxford %@ false
124. Fröhlich H, Balling R, Beerenwinkel N, Kohlbacher O, Kumar S, Lengauer T, Maathuis MH, Moreau Y, Murphy SA, Przytycka TM, Rebhan M, Röst H, Schuppert A, Schwab M, Spang R, Stekhoven D, Sun J, Weber A, Ziemek D, Zupan B: From Hype to Reality: Data Science Enabling Personalized Medicine. BMC Medicine 2018, 16.
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@article{Froehlich2018, TITLE = {From Hype to Reality: Data Science Enabling Personalized Medicine}, AUTHOR = {Fr{\"o}hlich, Holger and Balling, Rudi and Beerenwinkel, Niko and Kohlbacher, Oliver and Kumar, Santosh and Lengauer, Thomas and Maathuis, Marloes H. and Moreau, Yves and Murphy, Susan A. and Przytycka, Teresa M. and Rebhan, Michael and R{\"o}st, Hannes and Schuppert, Andreas and Schwab, Matthias and Spang, Rainer and Stekhoven, Daniel and Sun, Jimeng and Weber, Andreas and Ziemek, Daniel and Zupan, Blaz}, LANGUAGE = {eng}, ISSN = {1741-7015}, DOI = {10.1186/s12916-018-1122-7}, PUBLISHER = {BioMed Central}, YEAR = {2018}, JOURNAL = {BMC Medicine}, VOLUME = {16}, EID = {150}, }
Endnote
%0 Journal Article %A Fr&#246;hlich, Holger %A Balling, Rudi %A Beerenwinkel, Niko %A Kohlbacher, Oliver %A Kumar, Santosh %A Lengauer, Thomas %A Maathuis, Marloes H. %A Moreau, Yves %A Murphy, Susan A. %A Przytycka, Teresa M. %A Rebhan, Michael %A R&#246;st, Hannes %A Schuppert, Andreas %A Schwab, Matthias %A Spang, Rainer %A Stekhoven, Daniel %A Sun, Jimeng %A Weber, Andreas %A Ziemek, Daniel %A Zupan, Blaz %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T From Hype to Reality: Data Science Enabling Personalized Medicine : %G eng %U http://hdl.handle.net/21.11116/0000-0002-09BD-0 %R 10.1186/s12916-018-1122-7 %7 2018 %D 2018 %J BMC Medicine %V 16 %Z sequence number: 150 %I BioMed Central %@ false
125. Fun A, Leitner T, Vandekerckhove L, Däumer M, Thielen A, Buchholz B, Hoepelman AIM, Gisolf EH, Schipper PJ, Wensing AMJ, Nijhuis M: Impact of the HIV-1 Genetic Background and HIV-1 Population Size on the Evolution of Raltegravir Resistance. Retrovirology 2018, 15.
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@article{Fun2018, TITLE = {Impact of the {HIV}-1 Genetic Background and {HIV}-1 Population Size on the Evolution of Raltegravir Resistance}, AUTHOR = {Fun, Axel and Leitner, Thomas and Vandekerckhove, Linos and D{\"a}umer, Martin and Thielen, Alexander and Buchholz, Bernd and Hoepelman, Andy I. M. and Gisolf, Elizabeth H. and Schipper, Pauline J. and Wensing, Annemarie M. J. and Nijhuis, Monique}, LANGUAGE = {eng}, ISSN = {1742-4690}, DOI = {10.1186/s12977-017-0384-z}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Retrovirology}, VOLUME = {15}, EID = {1}, }
Endnote
%0 Journal Article %A Fun, Axel %A Leitner, Thomas %A Vandekerckhove, Linos %A D&#228;umer, Martin %A Thielen, Alexander %A Buchholz, Bernd %A Hoepelman, Andy I. M. %A Gisolf, Elizabeth H. %A Schipper, Pauline J. %A Wensing, Annemarie M. J. %A Nijhuis, Monique %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Impact of the HIV-1 Genetic Background and HIV-1 Population Size on the Evolution of Raltegravir Resistance : %G eng %U http://hdl.handle.net/21.11116/0000-0000-376A-C %R 10.1186/s12977-017-0384-z %7 2018 %D 2018 %J Retrovirology %V 15 %Z sequence number: 1 %I BioMed Central %C London %@ false
126. Garg S, Rautiainen M, Novak AM, Garrison E, Durbin R, Marschall T: A Graph-based Approach to Diploid Genome Assembly. Bioinformatics (Proc ISMB 2018) 2018, 34.
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@article{Garg_Bioinformatics2018, TITLE = {A Graph-based Approach to Diploid Genome Assembly}, AUTHOR = {Garg, Shilpa and Rautiainen, Mikko and Novak, Adam M. and Garrison, Erik and Durbin, Richard and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty279}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Bioinformatics (Proc. ISMB)}, VOLUME = {34}, PAGES = {i105--i114}, BOOKTITLE = {ISMB 2018 Proceedings}, }
Endnote
%0 Journal Article %A Garg, Shilpa %A Rautiainen, Mikko %A Novak, Adam M. %A Garrison, Erik %A Durbin, Richard %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Graph-based Approach to Diploid Genome Assembly : %G eng %U http://hdl.handle.net/21.11116/0000-0001-E5A6-1 %R 10.1093/bioinformatics/bty279 %7 2018 %D 2018 %J Bioinformatics %V 34 %& i105 %P i105 - i114 %I Oxford University Press %C Oxford %@ false %B ISMB 2018 Proceedings %O ISMB 2018 July 6 to July 10, 2018, Chicago, IL, United States
127. Garg S: Computational Haplotyping: Theory and Practice. Universität des Saarlandes; 2018.
Abstract
Genomics has paved a new way to comprehend life and its evolution, and also to investigate causes of diseases and their treatment. One of the important problems in genomic analyses is haplotype assembly. Constructing complete and accurate haplotypes plays an essential role in understanding population genetics and how species evolve. In this thesis, we focus on computational approaches to haplotype assembly from third generation sequencing technologies. This involves huge amounts of sequencing data, and such data contain errors due to the single molecule sequencing protocols employed. Taking advantage of combinatorial formulations helps to correct for these errors to solve the haplotyping problem. Various computational techniques such as dynamic programming, parameterized algorithms, and graph algorithms are used to solve this problem. This thesis presents several contributions concerning the area of haplotyping. First, a novel algorithm based on dynamic programming is proposed to provide approximation guarantees for phasing a single individual. Second, an integrative approach is introduced to combining multiple sequencing datasets to generating complete and accurate haplotypes. The effectiveness of this integrative approach is demonstrated on a real human genome. Third, we provide a novel efficient approach to phasing pedigrees and demonstrate its advantages in comparison to phasing a single individual. Fourth, we present a generalized graph-based framework for performing haplotype-aware de novo assembly. Specifically, this generalized framework consists of a hybrid pipeline for generating accurate and complete haplotypes from data stemming from multiple sequencing technologies, one that provides accurate reads and other that provides long reads.
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@phdthesis{gargphd2017, TITLE = {Computational Haplotyping: Theory and Practice}, AUTHOR = {Garg, Shilpa}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-ds-272520}, DOI = {10.22028/D291-27252}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2018}, DATE = {2018}, ABSTRACT = {Genomics has paved a new way to comprehend life and its evolution, and also to investigate causes of diseases and their treatment. One of the important problems in genomic analyses is haplotype assembly. Constructing complete and accurate haplotypes plays an essential role in understanding population genetics and how species evolve. In this thesis, we focus on computational approaches to haplotype assembly from third generation sequencing technologies. This involves huge amounts of sequencing data, and such data contain errors due to the single molecule sequencing protocols employed. Taking advantage of combinatorial formulations helps to correct for these errors to solve the haplotyping problem. Various computational techniques such as dynamic programming, parameterized algorithms, and graph algorithms are used to solve this problem. This thesis presents several contributions concerning the area of haplotyping. First, a novel algorithm based on dynamic programming is proposed to provide approximation guarantees for phasing a single individual. Second, an integrative approach is introduced to combining multiple sequencing datasets to generating complete and accurate haplotypes. The effectiveness of this integrative approach is demonstrated on a real human genome. Third, we provide a novel efficient approach to phasing pedigrees and demonstrate its advantages in comparison to phasing a single individual. Fourth, we present a generalized graph-based framework for performing haplotype-aware de novo assembly. Specifically, this generalized framework consists of a hybrid pipeline for generating accurate and complete haplotypes from data stemming from multiple sequencing technologies, one that provides accurate reads and other that provides long reads.}, }
Endnote
%0 Thesis %A Garg, Shilpa %Y Marschall, Tobias %A referee: Helms, Volkhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Computational Haplotyping: Theory and Practice : %G eng %U http://hdl.handle.net/21.11116/0000-0001-9D80-D %R 10.22028/D291-27252 %U urn:nbn:de:bsz:291-scidok-ds-272520 %F OTHER: hdl:20.500.11880/27102 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2018 %P 119 p. %V phd %9 phd %X Genomics has paved a new way to comprehend life and its evolution, and also to investigate causes of diseases and their treatment. One of the important problems in genomic analyses is haplotype assembly. Constructing complete and accurate haplotypes plays an essential role in understanding population genetics and how species evolve. In this thesis, we focus on computational approaches to haplotype assembly from third generation sequencing technologies. This involves huge amounts of sequencing data, and such data contain errors due to the single molecule sequencing protocols employed. Taking advantage of combinatorial formulations helps to correct for these errors to solve the haplotyping problem. Various computational techniques such as dynamic programming, parameterized algorithms, and graph algorithms are used to solve this problem. This thesis presents several contributions concerning the area of haplotyping. First, a novel algorithm based on dynamic programming is proposed to provide approximation guarantees for phasing a single individual. Second, an integrative approach is introduced to combining multiple sequencing datasets to generating complete and accurate haplotypes. The effectiveness of this integrative approach is demonstrated on a real human genome. Third, we provide a novel efficient approach to phasing pedigrees and demonstrate its advantages in comparison to phasing a single individual. Fourth, we present a generalized graph-based framework for performing haplotype-aware de novo assembly. Specifically, this generalized framework consists of a hybrid pipeline for generating accurate and complete haplotypes from data stemming from multiple sequencing technologies, one that provides accurate reads and other that provides long reads. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27102
128. Garrison E, Siren J, Novak AM, Hickey G, Eizenga JM, Dawson ET, Jones W, Garg S, Markello C, Lin MF, Paten B, Durbin R: Variation Graph Toolkit Improves Read Mapping by Representing Genetic Variation in the Reference. Nature Biotechnology 2018, 36.
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@article{Garrison_2018, TITLE = {Variation Graph Toolkit Improves Read Mapping by Representing Genetic Variation in the Reference}, AUTHOR = {Garrison, Erik and Siren, Jouni and Novak, Adam M. and Hickey, Glenn and Eizenga, Jordan M. and Dawson, Eric T. and Jones, William and Garg, Shilpa and Markello, Charles and Lin, Michael F. and Paten, Benedict and Durbin, Richard}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/nbt.4227}, PUBLISHER = {NPG}, ADDRESS = {New York}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Nature Biotechnology}, VOLUME = {36}, NUMBER = {9}, PAGES = {875--879}, }
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%0 Journal Article %A Garrison, Erik %A Siren, Jouni %A Novak, Adam M. %A Hickey, Glenn %A Eizenga, Jordan M. %A Dawson, Eric T. %A Jones, William %A Garg, Shilpa %A Markello, Charles %A Lin, Michael F. %A Paten, Benedict %A Durbin, Richard %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Variation Graph Toolkit Improves Read Mapping by Representing Genetic Variation in the Reference : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5761-F %R 10.1038/nbt.4227 %7 2018 %D 2018 %J Nature Biotechnology %V 36 %N 9 %& 875 %P 875 - 879 %I NPG %C New York %@ false
129. Ghareghani M, Porubsky D, Sanders AD, Meiers S, Eichler EE, Korbel JO, Marschall T: Strand-seq Enables Reliable Separation of Long Reads by Chromosome via Expectation Maximization. Bioinformatics (Proc ISMB 2018) 2018, 34.
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@article{Ghareghani_ISMB2018, TITLE = {Strand-seq Enables Reliable Separation of Long Reads by Chromosome via Expectation Maximization}, AUTHOR = {Ghareghani, Maryam and Porubsky, David and Sanders, Ashley D. and Meiers, Sascha and Eichler, Evan E. and Korbel, Jan O. and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty290}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Bioinformatics (Proc. ISMB)}, VOLUME = {34}, NUMBER = {13}, PAGES = {i115--I123}, BOOKTITLE = {ISMB 2018 Proceedings}, }
Endnote
%0 Journal Article %A Ghareghani, Maryam %A Porubsky, David %A Sanders, Ashley D. %A Meiers, Sascha %A Eichler, Evan E. %A Korbel, Jan O. %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Strand-seq Enables Reliable Separation of Long Reads by Chromosome via Expectation Maximization : %G eng %U http://hdl.handle.net/21.11116/0000-0001-E5AA-D %R 10.1093/bioinformatics/bty290 %7 2018 %D 2018 %J Bioinformatics %V 34 %N 13 %& i115 %P i115 - I123 %I Oxford University Press %C Oxford %@ false %B ISMB 2018 Proceedings %O July 6 to July 10, 2018, Chicago, IL, United States ISMB 2018
130. Goeschl L, Preglej T, Hamminger P, Bonelli M, Andersen L, Boucheron N, Guelich AF, Mueller L, Saferding V, Mufazalov IA, Hirahara K, Seiser C, Matthias P, Penz T, Schuster M, Bock C, Waisman A, Steiner G, Ellmeier W: A T Cell-specific Deletion of HDAC1 Protects Against Experimental Autoimmune Encephalomyelitis. Journal of Autoimmunity 2018, 86.
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@article{Goeschl2018, TITLE = {A {T} Cell-specific Deletion of {HDAC}1 Protects Against Experimental Autoimmune Encephalomyelitis}, AUTHOR = {Goeschl, Lisa and Preglej, Teresa and Hamminger, Patricia and Bonelli, Michael and Andersen, Liisa and Boucheron, Nicole and Guelich, Alexandra F. and Mueller, Lena and Saferding, Victoria and Mufazalov, Ilgiz A. and Hirahara, Kiyoshi and Seiser, Christian and Matthias, Patrick and Penz, Thomas and Schuster, Michael and Bock, Christoph and Waisman, Ari and Steiner, Guenter and Ellmeier, Wilfried}, LANGUAGE = {eng}, ISSN = {0896-8411}, DOI = {10.1016/j.jaut.2017.09.008}, PUBLISHER = {Academic Press}, ADDRESS = {London}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Journal of Autoimmunity}, VOLUME = {86}, PAGES = {51--61}, }
Endnote
%0 Journal Article %A Goeschl, Lisa %A Preglej, Teresa %A Hamminger, Patricia %A Bonelli, Michael %A Andersen, Liisa %A Boucheron, Nicole %A Guelich, Alexandra F. %A Mueller, Lena %A Saferding, Victoria %A Mufazalov, Ilgiz A. %A Hirahara, Kiyoshi %A Seiser, Christian %A Matthias, Patrick %A Penz, Thomas %A Schuster, Michael %A Bock, Christoph %A Waisman, Ari %A Steiner, Guenter %A Ellmeier, Wilfried %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T A T Cell-specific Deletion of HDAC1 Protects Against Experimental Autoimmune Encephalomyelitis : %G eng %U http://hdl.handle.net/21.11116/0000-0000-8438-C %R 10.1016/j.jaut.2017.09.008 %7 2018 %D 2018 %J Journal of Autoimmunity %O J. Autoimmun. %V 86 %& 51 %P 51 - 61 %I Academic Press %C London %@ false
131. Grosser K, Ramasamy P, Dheghani Amirabad A, Schulz MH, Gasparoni G, Simon M, Schrallhammer M: More than the “Killer Trait”: Infection with the Bacterial Endosymbiont Caedibacter taeniospiralis Causes Transcriptomic Modulation in Paramecium Host. Genome Biology and Evolution 2018, 10.
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@article{Grosser2018, TITLE = {More than the &#8220;Killer Trait&#8221;: {I}nfection with the Bacterial Endosymbiont {C}aedibacter taeniospiralis Causes Transcriptomic Modulation in Paramecium Host}, AUTHOR = {Grosser, Katrin and Ramasamy, Pathmanaban and Dheghani Amirabad, Azim and Schulz, Marcel Holger and Gasparoni, Gilles and Simon, Martin and Schrallhammer, Martina}, LANGUAGE = {eng}, DOI = {10.1093/gbe/evy024}, PUBLISHER = {Oxford Univ. Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Genome Biology and Evolution}, VOLUME = {10}, NUMBER = {2}, PAGES = {646--656}, }
Endnote
%0 Journal Article %A Grosser, Katrin %A Ramasamy, Pathmanaban %A Dheghani Amirabad, Azim %A Schulz, Marcel Holger %A Gasparoni, Gilles %A Simon, Martin %A Schrallhammer, Martina %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T More than the &#8220;Killer Trait&#8221;: Infection with the Bacterial Endosymbiont Caedibacter taeniospiralis Causes Transcriptomic Modulation in Paramecium Host : %G eng %U http://hdl.handle.net/21.11116/0000-0000-C023-F %R 10.1093/gbe/evy024 %7 2018 %D 2018 %J Genome Biology and Evolution %O GBE Genome Biol Evol %V 10 %N 2 %& 646 %P 646 - 656 %I Oxford Univ. Press %C Oxford
132. Ha Thanh Pham T, Maurer B, Prchal-Murphy M, Grausenburger R, Grundschober E, Javaheri T, Nivarthi H, Boersma A, Kolbe T, Elabd M, Halbritter F, Pencik J, Kazemi Z, Grebien F, Hengstschlaeger M, Kenner L, Kubicek S, Farlik M, Bock C, Valent P, Mueller M, Ruelicke T, Sexl V, Moriggl R: STAT5B(N642H) is a Driver Mutation for T Cell Neoplasia. The Journal of Clinical Investigation 2018, 128.
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@article{Bock_JCI2018, TITLE = {{STAT5B}^({N642H)} is a Driver Mutation for {T} Cell Neoplasia}, AUTHOR = {Ha Thanh Pham, Thi and Maurer, Barbara and Prchal-Murphy, Michaela and Grausenburger, Reinhard and Grundschober, Eva and Javaheri, Tahereh and Nivarthi, Harini and Boersma, Auke and Kolbe, Thomas and Elabd, Mohamed and Halbritter, Florian and Pencik, Jan and Kazemi, Zahra and Grebien, Florian and Hengstschlaeger, Markus and Kenner, Lukas and Kubicek, Stefan and Farlik, Matthias and Bock, Christoph and Valent, Peter and Mueller, Mathias and Ruelicke, Thomas and Sexl, Veronika and Moriggl, Richard}, LANGUAGE = {eng}, ISSN = {0021-9738}, DOI = {10.1172/JCI94509}, PUBLISHER = {American Society for Clinical Investigation}, ADDRESS = {New York, NY}, YEAR = {2018}, DATE = {2018}, JOURNAL = {The Journal of Clinical Investigation}, VOLUME = {128}, NUMBER = {1}, PAGES = {387--401}, }
Endnote
%0 Journal Article %A Ha Thanh Pham, Thi %A Maurer, Barbara %A Prchal-Murphy, Michaela %A Grausenburger, Reinhard %A Grundschober, Eva %A Javaheri, Tahereh %A Nivarthi, Harini %A Boersma, Auke %A Kolbe, Thomas %A Elabd, Mohamed %A Halbritter, Florian %A Pencik, Jan %A Kazemi, Zahra %A Grebien, Florian %A Hengstschlaeger, Markus %A Kenner, Lukas %A Kubicek, Stefan %A Farlik, Matthias %A Bock, Christoph %A Valent, Peter %A Mueller, Mathias %A Ruelicke, Thomas %A Sexl, Veronika %A Moriggl, Richard %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T STAT5B(N642H) is a Driver Mutation for T Cell Neoplasia : %G eng %U http://hdl.handle.net/21.11116/0000-0000-2DDC-7 %R 10.1172/JCI94509 %7 2018 %D 2018 %J The Journal of Clinical Investigation %O JCI %V 128 %N 1 %& 387 %P 387 - 401 %I American Society for Clinical Investigation %C New York, NY %@ false
133. Horňáková A, List M, Vreeken J, Schulz MH: JAMI: Fast Computation of Conditional Mutual Information for ceRNA Network Analysis. Bioinformatics 2018, 34.
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@article{Hornakova_Bioinformatics2018, TITLE = {{JAMI}: {F}ast Computation of Conditional Mutual Information for {ceRNA} Network Analysis}, AUTHOR = {Hor{\v n}{\'a}kov{\'a}, Andrea and List, Markus and Vreeken, Jilles and Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty221}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Bioinformatics}, VOLUME = {34}, NUMBER = {17}, PAGES = {3050--3051}, }
Endnote
%0 Journal Article %A Hor&#328;&#225;kov&#225;, Andrea %A List, Markus %A Vreeken, Jilles %A Schulz, Marcel H. %+ Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T JAMI: Fast Computation of Conditional Mutual Information for ceRNA Network Analysis : %G eng %U http://hdl.handle.net/21.11116/0000-0002-573A-C %R 10.1093/bioinformatics/bty221 %7 2018 %D 2018 %J Bioinformatics %V 34 %N 17 %& 3050 %P 3050 - 3051 %I Oxford University Press %C Oxford %@ false
134. Klughammer J, Kiesel B, Roetzer T, Fortelny N, Nemc A, Nenning K-H, Furtner J, Sheffield NC, Datlinger P, Peter N, Nowosielski M, Augustin M, Mischkulnig M, Stroebel T, Alpar D, Erguener B, Senekowitsch M, Moser P, Freyschlag CF, Kerschbaumer J, Thome C, Grams AE, Stockhammer G, Kitzwoegerer M, Oberndorfer S, Marhold F, Weis S, Trenkler J, Buchroithner J, Pichler J, et al.: The DNA Methylation Landscape of Glioblastoma Disease Progression Shows Extensive Heterogeneity in Time and Space. Nature Medicine 2018, 24.
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@article{Klughammer_2018, TITLE = {The {DNA} Methylation Landscape of Glioblastoma Disease Progression Shows Extensive Heterogeneity in Time and Space}, AUTHOR = {Klughammer, Johanna and Kiesel, Barbara and Roetzer, Thomas and Fortelny, Nikolaus and Nemc, Amelie and Nenning, Karl-Heinz and Furtner, Julia and Sheffield, Nathan C. and Datlinger, Paul and Peter, Nadine and Nowosielski, Martha and Augustin, Marco and Mischkulnig, Mario and Stroebel, Thomas and Alpar, Donat and Erguener, Bekir and Senekowitsch, Martin and Moser, Patrizia and Freyschlag, Christian F. and Kerschbaumer, Johannes and Thome, Claudius and Grams, Astrid E. and Stockhammer, Guenther and Kitzwoegerer, Melitta and Oberndorfer, Stefan and Marhold, Franz and Weis, Serge and Trenkler, Johannes and Buchroithner, Johanna and Pichler, Josef and Haybaeck, Johannes and Krassnig, Stefanie and Ali, Kariem Mahdy and von Campe, Gord and Payer, Franz and Sherif, Camillo and Preiser, Julius and Hauser, Thomas and Winkler, Peter A. and Kleindienst, Waltraud and Wuertz, Franz and Brandner-Kokalj, Tanisa and Stultschnig, Martin and Schweiger, Stefan and Dieckmann, Karin and Preusser, Matthias and Langs, Georg and Baumann, Bernhard and Knosp, Engelbert and Widhalm, Georg and Marosi, Christine and Hainfellner, Johannes A. and Woehrer, Adelheid and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1078-8956}, DOI = {10.1038/s41591-018-0156-x}, PUBLISHER = {Nature Pub. Co.}, ADDRESS = {New York, NY}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Nature Medicine}, VOLUME = {24}, NUMBER = {10}, PAGES = {1611--1624}, }
Endnote
%0 Journal Article %A Klughammer, Johanna %A Kiesel, Barbara %A Roetzer, Thomas %A Fortelny, Nikolaus %A Nemc, Amelie %A Nenning, Karl-Heinz %A Furtner, Julia %A Sheffield, Nathan C. %A Datlinger, Paul %A Peter, Nadine %A Nowosielski, Martha %A Augustin, Marco %A Mischkulnig, Mario %A Stroebel, Thomas %A Alpar, Donat %A Erguener, Bekir %A Senekowitsch, Martin %A Moser, Patrizia %A Freyschlag, Christian F. %A Kerschbaumer, Johannes %A Thome, Claudius %A Grams, Astrid E. %A Stockhammer, Guenther %A Kitzwoegerer, Melitta %A Oberndorfer, Stefan %A Marhold, Franz %A Weis, Serge %A Trenkler, Johannes %A Buchroithner, Johanna %A Pichler, Josef %A Haybaeck, Johannes %A Krassnig, Stefanie %A Ali, Kariem Mahdy %A von Campe, Gord %A Payer, Franz %A Sherif, Camillo %A Preiser, Julius %A Hauser, Thomas %A Winkler, Peter A. %A Kleindienst, Waltraud %A Wuertz, Franz %A Brandner-Kokalj, Tanisa %A Stultschnig, Martin %A Schweiger, Stefan %A Dieckmann, Karin %A Preusser, Matthias %A Langs, Georg %A Baumann, Bernhard %A Knosp, Engelbert %A Widhalm, Georg %A Marosi, Christine %A Hainfellner, Johannes A. %A Woehrer, Adelheid %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The DNA Methylation Landscape of Glioblastoma Disease Progression Shows Extensive Heterogeneity in Time and Space : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5F1F-3 %R 10.1038/s41591-018-0156-x %7 2018 %D 2018 %J Nature Medicine %O Nat. Med. %V 24 %N 10 %& 1611 %P 1611 - 1624 %I Nature Pub. Co. %C New York, NY %@ false
135. Knops E, Sierra S, Kalaghatgi P, Heger E, Kaiser R, Kalinina OV: Epistatic Interactions in NS5A of Hepatitis C Virus Suggest Drug Resistance Mechanisms. Genes 2018, 9.
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@article{Knops2018, TITLE = {Epistatic Interactions in {NS5A} of Hepatitis {C} Virus Suggest Drug Resistance Mechanisms}, AUTHOR = {Knops, Elena and Sierra, Saleta and Kalaghatgi, Prabhav and Heger, Eva and Kaiser, Rolf and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {2073-4425}, DOI = {10.3390/genes9070343}, PUBLISHER = {MDPI}, ADDRESS = {Basel}, YEAR = {2018}, JOURNAL = {Genes}, VOLUME = {9}, NUMBER = {7}, EID = {343}, }
Endnote
%0 Journal Article %A Knops, Elena %A Sierra, Saleta %A Kalaghatgi, Prabhav %A Heger, Eva %A Kaiser, Rolf %A Kalinina, Olga V. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Epistatic Interactions in NS5A of Hepatitis C Virus Suggest Drug Resistance Mechanisms : %G eng %U http://hdl.handle.net/21.11116/0000-0002-09C6-5 %R 10.3390/genes9070343 %7 2018-07-06 %D 2018 %8 06.07.2018 %J Genes %V 9 %N 7 %Z sequence number: 343 %I MDPI %C Basel %@ false
136. Lowe R, Barton C, Jenkins CA, Ernst C, Forman O, Fernandez-Twinn DS, Bock C, Rossiter SJ, Faulkes CG, Ozanne SE, Walter L, Odom DT, Mellersh C, Rakyan VK: Ageing-associated DNA Methylation Dynamics are a Molecular Readout of Lifespan Variation among Mammalian Species. Genome Biology 2018, 19.
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@article{Lowe2018, TITLE = {Ageing-associated {DNA} Methylation Dynamics are a Molecular Readout of Lifespan Variation among Mammalian Species}, AUTHOR = {Lowe, Robert and Barton, Carl and Jenkins, Christopher A. and Ernst, Christina and Forman, Oliver and Fernandez-Twinn, Denise S. and Bock, Christoph and Rossiter, Stephen J. and Faulkes, Chris G. and Ozanne, Susan E. and Walter, Lutz and Odom, Duncan T. and Mellersh, Cathryn and Rakyan, Vardhman K.}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-018-1397-1}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2018}, JOURNAL = {Genome Biology}, VOLUME = {19}, EID = {22}, }
Endnote
%0 Journal Article %A Lowe, Robert %A Barton, Carl %A Jenkins, Christopher A. %A Ernst, Christina %A Forman, Oliver %A Fernandez-Twinn, Denise S. %A Bock, Christoph %A Rossiter, Stephen J. %A Faulkes, Chris G. %A Ozanne, Susan E. %A Walter, Lutz %A Odom, Duncan T. %A Mellersh, Cathryn %A Rakyan, Vardhman K. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Ageing-associated DNA Methylation Dynamics are a Molecular Readout of Lifespan Variation among Mammalian Species : %G eng %U http://hdl.handle.net/21.11116/0000-0000-C8CF-6 %R 10.1186/s13059-018-1397-1 %7 2018 %D 2018 %J Genome Biology %V 19 %Z sequence number: 22 %I BioMed Central Ltd. %C London %@ false
137. Marschall T, Marz M, Abeel T, Dijkstra L, Dutilh BE, Ghaffaari A, Kersey P, Kloosterman WP, Makinen V, Novak AM, Paten B, Porubsky D, Rivals E, Alkan C, Baaijens JA, De Bakker PIW, Boeva V, Bonnal RJP, Chiaromonte F, Chikhi R, Ciccarelli FD, Cijvat R, Datema E, Van Duijn CM, Eichler EE, Ernst C, Eskin E, Garrison E, El-Kebir M, Klau GW, et al.: Computational Pan-genomics: Status, Promises and Challenges. Briefings in Bioinformatics 2018, 19.
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@article{Marschall2016, TITLE = {Computational Pan-genomics: Status, Promises and Challenges}, AUTHOR = {Marschall, Tobias and Marz, Manja and Abeel, Thomas and Dijkstra, Louis and Dutilh, Bas E. and Ghaffaari, Ali and Kersey, Paul and Kloosterman, Wigard P. and Makinen, Veli and Novak, Adam M. and Paten, Benedict and Porubsky, David and Rivals, Eric and Alkan, Can and Baaijens, Jasmijn A. and De Bakker, Paul I. W. and Boeva, Valentina and Bonnal, Raoul J. P. and Chiaromonte, Francesca and Chikhi, Rayan and Ciccarelli, Francesca D. and Cijvat, Robin and Datema, Erwin and Van Duijn, Cornelia M. and Eichler, Evan E. and Ernst, Corinna and Eskin, Eleazar and Garrison, Erik and El-Kebir, Mohammed and Klau, Gunnar W. and Korbel, Jan O. and Lameijer, Eric-Wubbo and Langmead, Benjamin and Martin, Marcel and Medvedev, Paul and Mu, John C. and Neerincx, Pieter and Ouwens, Klaasjan and Peterlongo, Pierre and Pisanti, Nadia and Rahmann, Sven and Raphael, Ben and Reinert, Knut and de Ridder, Dick and de Ridder, Jeroen and Schlesner, Matthias and Schulz-Trieglaff, Ole and Sanders, Ashley D. and Sheikhizadeh, Siavash and Shneider, Carl and Smit, Sandra and Valenzuela, Daniel and Wang, Jiayin and Wessels, Lodewyk and Zhang, Ying and Guryev, Victor and Vandin, Fabio and Ye, Kai and Schonhuth, Alexander}, LANGUAGE = {eng}, ISSN = {1467-5463}, DOI = {10.1093/bib/bbw089}, PUBLISHER = {Oxford University Press}, ADDRESS = {London}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Briefings in Bioinformatics}, VOLUME = {19}, NUMBER = {1}, PAGES = {118--135}, EID = {bbw089}, }
Endnote
%0 Journal Article %A Marschall, Tobias %A Marz, Manja %A Abeel, Thomas %A Dijkstra, Louis %A Dutilh, Bas E. %A Ghaffaari, Ali %A Kersey, Paul %A Kloosterman, Wigard P. %A Makinen, Veli %A Novak, Adam M. %A Paten, Benedict %A Porubsky, David %A Rivals, Eric %A Alkan, Can %A Baaijens, Jasmijn A. %A De Bakker, Paul I. W. %A Boeva, Valentina %A Bonnal, Raoul J. P. %A Chiaromonte, Francesca %A Chikhi, Rayan %A Ciccarelli, Francesca D. %A Cijvat, Robin %A Datema, Erwin %A Van Duijn, Cornelia M. %A Eichler, Evan E. %A Ernst, Corinna %A Eskin, Eleazar %A Garrison, Erik %A El-Kebir, Mohammed %A Klau, Gunnar W. %A Korbel, Jan O. %A Lameijer, Eric-Wubbo %A Langmead, Benjamin %A Martin, Marcel %A Medvedev, Paul %A Mu, John C. %A Neerincx, Pieter %A Ouwens, Klaasjan %A Peterlongo, Pierre %A Pisanti, Nadia %A Rahmann, Sven %A Raphael, Ben %A Reinert, Knut %A de Ridder, Dick %A de Ridder, Jeroen %A Schlesner, Matthias %A Schulz-Trieglaff, Ole %A Sanders, Ashley D. %A Sheikhizadeh, Siavash %A Shneider, Carl %A Smit, Sandra %A Valenzuela, Daniel %A Wang, Jiayin %A Wessels, Lodewyk %A Zhang, Ying %A Guryev, Victor %A Vandin, Fabio %A Ye, Kai %A Schonhuth, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Computational Pan-genomics: Status, Promises and Challenges : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-AF03-A %R 10.1093/bib/bbw089 %7 2016-10-21 %D 2018 %J Briefings in Bioinformatics %V 19 %N 1 %& 118 %P 118 - 135 %Z sequence number: bbw089 %I Oxford University Press %C London %@ false
138. Mendoza P, Gruell H, Nogueira L, Pai JA, Butler AL, Millard K, Lehmann C, Suarez I, Oliveira TY, Lorenzi JCC, Cohen YZ, Wyen C, Kuemmerle T, Karagounis T, Lu C-L, Handl L, Unson-O’Brien C, Patel R, Ruping C, Schlotz M, Witmer-Pack M, Shimeliovich I, Kremer G, Thomas E, Seaton KE, Horowitz J, West Jr. AP, Bjorkman PJ, Tomaras GD, Gulick RM, et al.: Combination Therapy with anti-HIV-1 Antibodies Maintains Viral Suppression. Nature 2018, 561.
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@article{Mendoza_2018, TITLE = {Combination therapy with anti-{HIV}-1 antibodies maintains viral suppression}, AUTHOR = {Mendoza, Pilar and Gruell, Henning and Nogueira, Lilian and Pai, Joy A. and Butler, Allison L. and Millard, Katrina and Lehmann, Clara and Suarez, Isabelle and Oliveira, Thiago Y. and Lorenzi, Julio C. C. and Cohen, Yehuda Z. and Wyen, Christoph and Kuemmerle, Tim and Karagounis, Theodora and Lu, Ching-Lan and Handl, Lisa and Unson-O'Brien, Cecilia and Patel, Roshni and Ruping, Carola and Schlotz, Maike and Witmer-Pack, Maggi and Shimeliovich, Irina and Kremer, Gisela and Thomas, Eleonore and Seaton, Kelly E. and Horowitz, Jill and West Jr., Anthony P. and Bjorkman, Pamela J. and Tomaras, Georgia D. and Gulick, Roy M. and Pfeifer, Nico and Faetkenheuer, Gerd and Seaman, Michael S. and Klein, Florian and Caskey, Marina and Nussenzweig, Michel C.}, LANGUAGE = {eng}, ISSN = {0028-0836}, DOI = {10.1038/s41586-018-0531-2}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Nature}, VOLUME = {561}, PAGES = {479--484}, }
Endnote
%0 Journal Article %A Mendoza, Pilar %A Gruell, Henning %A Nogueira, Lilian %A Pai, Joy A. %A Butler, Allison L. %A Millard, Katrina %A Lehmann, Clara %A Suarez, Isabelle %A Oliveira, Thiago Y. %A Lorenzi, Julio C. C. %A Cohen, Yehuda Z. %A Wyen, Christoph %A Kuemmerle, Tim %A Karagounis, Theodora %A Lu, Ching-Lan %A Handl, Lisa %A Unson-O'Brien, Cecilia %A Patel, Roshni %A Ruping, Carola %A Schlotz, Maike %A Witmer-Pack, Maggi %A Shimeliovich, Irina %A Kremer, Gisela %A Thomas, Eleonore %A Seaton, Kelly E. %A Horowitz, Jill %A West Jr., Anthony P. %A Bjorkman, Pamela J. %A Tomaras, Georgia D. %A Gulick, Roy M. %A Pfeifer, Nico %A Faetkenheuer, Gerd %A Seaman, Michael S. %A Klein, Florian %A Caskey, Marina %A Nussenzweig, Michel C. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Combination Therapy with anti-HIV-1 Antibodies Maintains Viral Suppression : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5770-E %R 10.1038/s41586-018-0531-2 %7 2018 %D 2018 %J Nature %O Nature %V 561 %& 479 %P 479 - 484 %I Nature Publishing Group %C London %@ false
139. Nazarieh M: Understanding Regulatory Mechanisms Underlying Stem Cells Helps to Identify Cancer Biomarkers. Universität des Saarlandes; 2018.
Abstract
Detection of biomarker genes play a crucial role in disease detection and treatment. Bioinformatics offers a variety of approaches for identification of biomarker genes which play key roles in complex diseases. These computational approaches enhance the insight derived from experiments and reduce the efforts of biologists and experimentalists. This is essentially achieved through prioritizing a set of genes with certain attributes. In this thesis, we show that understanding the regulatory mechanisms underlying stem cells helps to identify cancer biomarkers. We got inspired by the regulatory mechanisms of the pluripotency network in mouse embryonic stem cells and formulated the problem where a set of master regulatory genes in regulatory networks is identified with two combinatorial optimization problems namely as minimum dominating set and minimum connected dominating set in weakly and strongly connected components. Then we applied the developed methods to regulatory cancer networks to identify disease-associated genes and anti-cancer drug targets in breast cancer and hepatocellular carcinoma. As not all the nodes in the solutions are critical, we developed a prioritization method to rank a set of candidate genes which are related to a certain disease based on systematic analysis of the genes that are differentially expressed in tumor and normal conditions. Moreover, we demonstrated that the topological features in regulatory networks surrounding differentially expressed genes are highly consistent in terms of using the output of several analysis tools. We compared two randomization strategies for TF-miRNA co-regulatory networks to infer significant network motifs underlying cellular identity. We showed that the edge-type conserving method surpasses the non-conserving method in terms of biological relevance and centrality overlap. We presented several web servers and software packages that are publicly available at no cost. The Cytoscape plugin of minimum connected dominating set identifies a set of key regulatory genes in a user provided regulatory network based on a heuristic approach. The ILP formulations of minimum dominating set and minimum connected dominating set return the optimal solutions for the aforementioned problems. Our source code is publicly available. The web servers TFmiR and TFmiR2 construct disease-, tissue-, process-specific networks for the sets of deregulated genes and miRNAs provided by a user. They highlight topological hotspots and offer detection of three- and four-node FFL motifs as a separate web service for both organisms mouse and human.
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@phdthesis{nazariehphd2017, TITLE = {Understanding Regulatory Mechanisms Underlying Stem Cells Helps to Identify Cancer Biomarkers}, AUTHOR = {Nazarieh, Maryam}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-ds-272650}, DOI = {10.22028/D291-27265}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2018}, DATE = {2018}, ABSTRACT = {Detection of biomarker genes play a crucial role in disease detection and treatment. Bioinformatics offers a variety of approaches for identification of biomarker genes which play key roles in complex diseases. These computational approaches enhance the insight derived from experiments and reduce the efforts of biologists and experimentalists. This is essentially achieved through prioritizing a set of genes with certain attributes. In this thesis, we show that understanding the regulatory mechanisms underlying stem cells helps to identify cancer biomarkers. We got inspired by the regulatory mechanisms of the pluripotency network in mouse embryonic stem cells and formulated the problem where a set of master regulatory genes in regulatory networks is identified with two combinatorial optimization problems namely as minimum dominating set and minimum connected dominating set in weakly and strongly connected components. Then we applied the developed methods to regulatory cancer networks to identify disease-associated genes and anti-cancer drug targets in breast cancer and hepatocellular carcinoma. As not all the nodes in the solutions are critical, we developed a prioritization method to rank a set of candidate genes which are related to a certain disease based on systematic analysis of the genes that are differentially expressed in tumor and normal conditions. Moreover, we demonstrated that the topological features in regulatory networks surrounding differentially expressed genes are highly consistent in terms of using the output of several analysis tools. We compared two randomization strategies for TF-miRNA co-regulatory networks to infer significant network motifs underlying cellular identity. We showed that the edge-type conserving method surpasses the non-conserving method in terms of biological relevance and centrality overlap. We presented several web servers and software packages that are publicly available at no cost. The Cytoscape plugin of minimum connected dominating set identifies a set of key regulatory genes in a user provided regulatory network based on a heuristic approach. The ILP formulations of minimum dominating set and minimum connected dominating set return the optimal solutions for the aforementioned problems. Our source code is publicly available. The web servers TFmiR and TFmiR2 construct disease-, tissue-, process-specific networks for the sets of deregulated genes and miRNAs provided by a user. They highlight topological hotspots and offer detection of three- and four-node FFL motifs as a separate web service for both organisms mouse and human.}, }
Endnote
%0 Thesis %A Nazarieh, Maryam %Y Helms, Volker %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Understanding Regulatory Mechanisms Underlying Stem Cells Helps to Identify Cancer Biomarkers : %G eng %U http://hdl.handle.net/21.11116/0000-0001-9D69-9 %R 10.22028/D291-27265 %U urn:nbn:de:bsz:291-scidok-ds-272650 %F OTHER: hdl:20.500.11880/27104 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2018 %P 139 p. %V phd %9 phd %X Detection of biomarker genes play a crucial role in disease detection and treatment. Bioinformatics offers a variety of approaches for identification of biomarker genes which play key roles in complex diseases. These computational approaches enhance the insight derived from experiments and reduce the efforts of biologists and experimentalists. This is essentially achieved through prioritizing a set of genes with certain attributes. In this thesis, we show that understanding the regulatory mechanisms underlying stem cells helps to identify cancer biomarkers. We got inspired by the regulatory mechanisms of the pluripotency network in mouse embryonic stem cells and formulated the problem where a set of master regulatory genes in regulatory networks is identified with two combinatorial optimization problems namely as minimum dominating set and minimum connected dominating set in weakly and strongly connected components. Then we applied the developed methods to regulatory cancer networks to identify disease-associated genes and anti-cancer drug targets in breast cancer and hepatocellular carcinoma. As not all the nodes in the solutions are critical, we developed a prioritization method to rank a set of candidate genes which are related to a certain disease based on systematic analysis of the genes that are differentially expressed in tumor and normal conditions. Moreover, we demonstrated that the topological features in regulatory networks surrounding differentially expressed genes are highly consistent in terms of using the output of several analysis tools. We compared two randomization strategies for TF-miRNA co-regulatory networks to infer significant network motifs underlying cellular identity. We showed that the edge-type conserving method surpasses the non-conserving method in terms of biological relevance and centrality overlap. We presented several web servers and software packages that are publicly available at no cost. The Cytoscape plugin of minimum connected dominating set identifies a set of key regulatory genes in a user provided regulatory network based on a heuristic approach. The ILP formulations of minimum dominating set and minimum connected dominating set return the optimal solutions for the aforementioned problems. Our source code is publicly available. The web servers TFmiR and TFmiR2 construct disease-, tissue-, process-specific networks for the sets of deregulated genes and miRNAs provided by a user. They highlight topological hotspots and offer detection of three- and four-node FFL motifs as a separate web service for both organisms mouse and human. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/27104
140. Palanisamy N, Kalaghatgi P, Akaberi D, Lundkvist Å, Chen Z, Hu P, Lennerstrand J: Worldwide Prevalence of Baseline Resistance-associated Polymorphisms and Resistance Mutations in HCV against Current Direct-Acting Antivirals. Antiviral Therapy 2018, 23.
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@article{Palanisamy2018, TITLE = {Worldwide prevalence of baseline resistance-associated polymorphisms and resistance mutations in {HCV} against current direct-acting antivirals}, AUTHOR = {Palanisamy, Navaneethan and Kalaghatgi, Prabhav and Akaberi, Dario and Lundkvist, {\AA}ke and Chen, Zhi-wei and Hu, Peng and Lennerstrand, Johan}, LANGUAGE = {eng}, ISSN = {1359-6535}, DOI = {10.3851/IMP3237 2018}, PUBLISHER = {International Medical Press}, ADDRESS = {London}, YEAR = {2018}, JOURNAL = {Antiviral Therapy}, VOLUME = {23}, PAGES = {485--493}, }
Endnote
%0 Journal Article %A Palanisamy, Navaneethan %A Kalaghatgi, Prabhav %A Akaberi, Dario %A Lundkvist, &#197;ke %A Chen, Zhi-wei %A Hu, Peng %A Lennerstrand, Johan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Worldwide Prevalence of Baseline Resistance-associated Polymorphisms and Resistance Mutations in HCV against Current Direct-Acting Antivirals : %G eng %U http://hdl.handle.net/21.11116/0000-0002-CB09-0 %R 10.3851/IMP3237 2018 %7 2018 %D 2018 %J Antiviral Therapy %V 23 %& 485 %P 485 - 493 %I International Medical Press %C London %@ false
141. Pan W-H, Sommer F, Falk-Paulsen M, Ulas T, Best P, Fazio A, Kachroo P, Luzius A, Jentzsch M, Rehman A, Müller F, Lengauer T, Walter J, Kuenzel S, Baines JF, Schreiber S, Franke A, Schultze JL, Backhed F, Rosenstiel P: Exposure to the Gut Microbiota Drives Distinct Methylome and Transcriptome Changes in Intestinal Epithelial Cells during Postnatal Development. Genome Medicine 2018, 10.
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@article{Pan2018, TITLE = {Exposure to the Gut Microbiota Drives Distinct Methylome and Transcriptome Changes in Intestinal Epithelial Cells during Postnatal Development}, AUTHOR = {Pan, Wei-Hung and Sommer, Felix and Falk-Paulsen, Maren and Ulas, Thomas and Best, Philipp and Fazio, Antonella and Kachroo, Priyadarshini and Luzius, Anne and Jentzsch, Marlene and Rehman, Ateequr and M{\"u}ller, Fabian and Lengauer, Thomas and Walter, Joern and Kuenzel, Sven and Baines, John F. and Schreiber, Stefan and Franke, Andre and Schultze, Joachim L. and Backhed, Fredrik and Rosenstiel, Philip}, LANGUAGE = {eng}, DOI = {10.1186/s13073-018-0534-5}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2018}, JOURNAL = {Genome Medicine}, VOLUME = {10}, EID = {27}, }
Endnote
%0 Journal Article %A Pan, Wei-Hung %A Sommer, Felix %A Falk-Paulsen, Maren %A Ulas, Thomas %A Best, Philipp %A Fazio, Antonella %A Kachroo, Priyadarshini %A Luzius, Anne %A Jentzsch, Marlene %A Rehman, Ateequr %A M&#252;ller, Fabian %A Lengauer, Thomas %A Walter, Joern %A Kuenzel, Sven %A Baines, John F. %A Schreiber, Stefan %A Franke, Andre %A Schultze, Joachim L. %A Backhed, Fredrik %A Rosenstiel, Philip %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Exposure to the Gut Microbiota Drives Distinct Methylome and Transcriptome Changes in Intestinal Epithelial Cells during Postnatal Development : %G eng %U http://hdl.handle.net/21.11116/0000-0001-37F8-A %R 10.1186/s13073-018-0534-5 %7 2018 %D 2018 %J Genome Medicine %V 10 %Z sequence number: 27 %I BioMed Central %C London
142. Pirritano M, Goetz U, Karunanithi S, Nordstroem K, Schulz MH, Simon M: Environmental Temperature Controls Accumulation of Transacting siRNAs Involved in Heterochromatin Formation. Genes 2018, 9.
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@article{Pirritano2018, TITLE = {Environmental Temperature Controls Accumulation of Transacting {siRNAs} Involved in Heterochromatin Formation}, AUTHOR = {Pirritano, Marcello and Goetz, Ulrike and Karunanithi, Sivarajan and Nordstroem, Karl and Schulz, Marcel H. and Simon, Martin}, LANGUAGE = {eng}, ISSN = {2073-4425}, DOI = {10.3390/genes9020117}, PUBLISHER = {MPDI}, ADDRESS = {Basel}, YEAR = {2018}, JOURNAL = {Genes}, VOLUME = {9}, NUMBER = {2}, EID = {117}, }
Endnote
%0 Journal Article %A Pirritano, Marcello %A Goetz, Ulrike %A Karunanithi, Sivarajan %A Nordstroem, Karl %A Schulz, Marcel H. %A Simon, Martin %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Environmental Temperature Controls Accumulation of Transacting siRNAs Involved in Heterochromatin Formation : %G eng %U http://hdl.handle.net/21.11116/0000-0001-1F9E-C %R 10.3390/genes9020117 %2 PMC5852613 %7 2018 %D 2018 %J Genes %V 9 %N 2 %Z sequence number: 117 %I MPDI %C Basel %@ false
143. Salhab A, Nordstroem K, Gasparoni G, Kattler K, Ebert P, Ramirez F, Arrigoni L, Mueller F, Polansky JK, Cadenas C, Hengstler JG, Lengauer T, Manke T, Walter J: A Comprehensive Analysis of 195 DNA Methylomes Reveals Shared and Cell-specific Features of Partially Methylated Domains. Genome Biology 2018, 19.
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@article{Salhab_2018, TITLE = {A comprehensive analysis of 195 {DNA} methylomes reveals shared and cell-specific features of partially methylated domains}, AUTHOR = {Salhab, Abdulrahman and Nordstroem, Karl and Gasparoni, Gilles and Kattler, Kathrin and Ebert, Peter and Ramirez, Fidel and Arrigoni, Laura and Mueller, Fabian and Polansky, Julia K. and Cadenas, Cristina and Hengstler, Jan G. and Lengauer, Thomas and Manke, Thomas and Walter, Joern}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-018-1510-5}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2018}, JOURNAL = {Genome Biology}, VOLUME = {19}, EID = {150}, }
Endnote
%0 Journal Article %A Salhab, Abdulrahman %A Nordstroem, Karl %A Gasparoni, Gilles %A Kattler, Kathrin %A Ebert, Peter %A Ramirez, Fidel %A Arrigoni, Laura %A Mueller, Fabian %A Polansky, Julia K. %A Cadenas, Cristina %A Hengstler, Jan G. %A Lengauer, Thomas %A Manke, Thomas %A Walter, Joern %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T A Comprehensive Analysis of 195 DNA Methylomes Reveals Shared and Cell-specific Features of Partially Methylated Domains : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5F29-7 %R 10.1186/s13059-018-1510-5 %7 2018 %D 2018 %J Genome Biology %V 19 %Z sequence number: 150 %I BioMed Central Ltd. %C London %@ false
144. Schmidt F, List M, Cukuroglu E, Koehler S, Goke J, Schulz MH: An Ontology-based Method for Assessing Batch Effect Adjustment Approaches in Heterogeneous Datasets. Bioinformatics (Proc ECCB 2018) 2018, 34.
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@article{Schmidt_Bioinformatics2018, TITLE = {An Ontology-based Method for Assessing Batch Effect Adjustment Approaches in Heterogeneous Datasets}, AUTHOR = {Schmidt, Florian and List, Markus and Cukuroglu, Engin and Koehler, Sebastian and Goke, Jonathan and Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bty553}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Bioinformatics (Proc. ECCB)}, VOLUME = {34}, NUMBER = {17}, PAGES = {i908--i916}, BOOKTITLE = {The 17th European Conference on Computational Biology (ECCB 2018)}, }
Endnote
%0 Journal Article %A Schmidt, Florian %A List, Markus %A Cukuroglu, Engin %A Koehler, Sebastian %A Goke, Jonathan %A Schulz, Marcel H. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An Ontology-based Method for Assessing Batch Effect Adjustment Approaches in Heterogeneous Datasets : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5732-4 %R 10.1093/bioinformatics/bty553 %7 2018 %D 2018 %J Bioinformatics %V 34 %N 17 %& i908 %P i908 - i916 %I Oxford University Press %C Oxford %@ false %B The 17th European Conference on Computational Biology %O ECCB 2018 Athens, Greece, 8 - 12 September 2018
145. Sikandar A, Cirnski K, Testolin G, Volz C, Broenstrup M, Kalinina OV, Müller R, Koehnke J: Adaptation of a Bacterial Multidrug Resistance System Revealed by the Structure and Function of AlbA. Journal of the American Chemical Society 2018, 140.
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@article{Sikandar2018, TITLE = {Adaptation of a Bacterial Multidrug Resistance System Revealed by the Structure and Function of {AlbA}}, AUTHOR = {Sikandar, Asfandyar and Cirnski, Katarina and Testolin, Giambattista and Volz, Carsten and Broenstrup, Mark and Kalinina, Olga V. and M{\"u}ller, Rolf and Koehnke, Jesko}, LANGUAGE = {eng}, ISSN = {0002-7863}, DOI = {10.1021/jacs.8b08895}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, DC}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Journal of the American Chemical Society}, VOLUME = {140}, NUMBER = {48}, PAGES = {16641--16649}, }
Endnote
%0 Journal Article %A Sikandar, Asfandyar %A Cirnski, Katarina %A Testolin, Giambattista %A Volz, Carsten %A Broenstrup, Mark %A Kalinina, Olga V. %A M&#252;ller, Rolf %A Koehnke, Jesko %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Adaptation of a Bacterial Multidrug Resistance System Revealed by the Structure and Function of AlbA : %G eng %U http://hdl.handle.net/21.11116/0000-0002-BA2F-9 %R 10.1021/jacs.8b08895 %7 2018 %D 2018 %J Journal of the American Chemical Society %O J. Am. Chem. Soc. JACS %V 140 %N 48 %& 16641 %P 16641 - 16649 %I American Chemical Society %C Washington, DC %@ false
146. Simovski B, Kanduri C, Gundersen S, Titov D, Domanska D, Bock C, Bossini-Castillo L, Chikina M, Favorov A, Layer RM, Mironov AA, Quinlan AR, Sheffield NC, Trynka G, Sandve GK: Coloc-stats: A Unified Web Interface to Perform Colocalization Analysis of Genomic Features. Nucleic Acids Research 2018, 46(Web Server issue).
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@article{Simovski_2018, TITLE = {Coloc-stats: A Unified Web Interface to Perform Colocalization Analysis of Genomic Features}, AUTHOR = {Simovski, Boris and Kanduri, Chakravarthi and Gundersen, Sveinung and Titov, Dmytro and Domanska, Diana and Bock, Christoph and Bossini-Castillo, Lara and Chikina, Maria and Favorov, Alexander and Layer, Ryan M. and Mironov, Andrey A. and Quinlan, Aaron R. and Sheffield, Nathan C. and Trynka, Gosia and Sandve, Geir K.}, LANGUAGE = {eng}, ISSN = {0301-5610}, DOI = {10.1093/nar/gky474}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2018}, DATE = {2018}, JOURNAL = {Nucleic Acids Research}, VOLUME = {46}, NUMBER = {Web Server issue}, PAGES = {W186--W193}, }
Endnote
%0 Journal Article %A Simovski, Boris %A Kanduri, Chakravarthi %A Gundersen, Sveinung %A Titov, Dmytro %A Domanska, Diana %A Bock, Christoph %A Bossini-Castillo, Lara %A Chikina, Maria %A Favorov, Alexander %A Layer, Ryan M. %A Mironov, Andrey A. %A Quinlan, Aaron R. %A Sheffield, Nathan C. %A Trynka, Gosia %A Sandve, Geir K. %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Coloc-stats: A Unified Web Interface to Perform Colocalization Analysis of Genomic Features : %G eng %U http://hdl.handle.net/21.11116/0000-0001-E5C6-D %R 10.1093/nar/gky474 %7 2018 %D 2018 %J Nucleic Acids Research %O Nucleic Acids Res. %V 46 %N Web Server issue %& W186 %P W186 - W193 %I Oxford University Press %C Oxford, UK %@ false
2017
147. Ahmad M, Helms V, Kalinina OV, Lengauer T: Elucidating the Energetic Contributions to the Binding Free Energy. The Journal of Chemical Physics 2017, 146.
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@article{Ahmad2017, TITLE = {Elucidating the Energetic Contributions to the Binding Free Energy}, AUTHOR = {Ahmad, Mazen and Helms, Volkhard and Kalinina, Olga V. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0021-9606}, DOI = {10.1063/1.4973349}, PUBLISHER = {American Institute of Physics}, ADDRESS = {Woodbury, N.Y.}, YEAR = {2017}, DATE = {2017}, JOURNAL = {The Journal of Chemical Physics}, VOLUME = {146}, NUMBER = {1}, EID = {014105}, }
Endnote
%0 Journal Article %A Ahmad, Mazen %A Helms, Volkhard %A Kalinina, Olga V. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Elucidating the Energetic Contributions to the Binding Free Energy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-3A74-2 %R 10.1063/1.4973349 %7 2017 %D 2017 %J The Journal of Chemical Physics %O J. Chem. Phys. %V 146 %N 1 %Z sequence number: 014105 %I American Institute of Physics %C Woodbury, N.Y. %@ false
148. Albrecht F, List M, Bock C, Lengauer T: DeepBlueR: Large-scale Epigenomic Analysis in R. Bioinformatics 2017, 33.
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@article{AlbrechtBioinformatics2017, TITLE = {{DeepBlueR}: {L}arge-scale Epigenomic Analysis in {R}}, AUTHOR = {Albrecht, Felipe and List, Markus and Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btx099}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Bioinformatics}, VOLUME = {33}, NUMBER = {13}, PAGES = {2063--2064}, EID = {btx099}, }
Endnote
%0 Journal Article %A Albrecht, Felipe %A List, Markus %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T DeepBlueR: Large-scale Epigenomic Analysis in R : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-8AB4-4 %R 10.1093/bioinformatics/btx099 %2 PMC5870546 %7 2017-02-22 %D 2017 %J Bioinformatics %V 33 %N 13 %& 2063 %P 2063 - 2064 %Z sequence number: btx099 %I Oxford University Press %C Oxford %@ false
149. Alcaraz N, List M, Batra R, Vandin F, Ditzel HJ, Baumbach J: De novo Pathway-based Biomarker Identification. Nucleic Acids Research 2017, 45.
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@article{Alcaraz2017, TITLE = {\textit{De novo} pathway-based biomarker identification}, AUTHOR = {Alcaraz, Nicolas and List, Markus and Batra, Richa and Vandin, Fabio and Ditzel, Henrik J. and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkx642}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nucleic Acids Research}, VOLUME = {45}, NUMBER = {16}, EID = {e151}, }
Endnote
%0 Journal Article %A Alcaraz, Nicolas %A List, Markus %A Batra, Richa %A Vandin, Fabio %A Ditzel, Henrik J. %A Baumbach, Jan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T De novo Pathway-based Biomarker Identification : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-DDE0-C %R 10.1093/nar/gkx642 %7 2017 %D 2017 %J Nucleic Acids Research %O Nucleic Acids Res %V 45 %N 16 %Z sequence number: e151 %I Oxford University Press %C Oxford %@ false
150. Almeida D, Skov I, Silva A, Vandin F, Tan Q, Röttger R, Baumbach J: Efficient Detection of Differentially Methylated Regions using DiMmeR. Bioinformatics 2017, 33.
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@article{Almeida2017, TITLE = {Efficient Detection of Differentially Methylated Regions using {DiMmeR}}, AUTHOR = {Almeida, Diogo and Skov, Ida and Silva, Artur and Vandin, Fabio and Tan, Qihua and R{\"o}ttger, Richard and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw657}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Bioinformatics}, VOLUME = {33}, NUMBER = {4}, PAGES = {549--551}, }
Endnote
%0 Journal Article %A Almeida, Diogo %A Skov, Ida %A Silva, Artur %A Vandin, Fabio %A Tan, Qihua %A R&#246;ttger, Richard %A Baumbach, Jan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient Detection of Differentially Methylated Regions using DiMmeR : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-ECA5-7 %R 10.1093/bioinformatics/btw657 %7 2016 %D 2017 %J Bioinformatics %V 33 %N 4 %& 549 %P 549 - 551 %I Oxford University Press %C Oxford %@ false
151. Bader J, Däumer M, Schöni-Affolter F, Böni J, Gorgievski-Hrisoho M, Martinetti G, Thielen A, Klimkait T: Therapeutic Immune Recovery and Reduction of CXCR4-Tropic HIV-1. Clinical Infectious Diseases 2017, 64.
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@article{Bader2017, TITLE = {Therapeutic Immune Recovery and Reduction of {CXCR4}-Tropic {HIV}-1}, AUTHOR = {Bader, Jo{\"e}lle and D{\"a}umer, Martin and Sch{\"o}ni-Affolter, Franziska and B{\"o}ni, J{\"u}rg and Gorgievski-Hrisoho, Meri and Martinetti, Gladys and Thielen, Alexander and Klimkait, Thomas}, LANGUAGE = {eng}, ISSN = {1058-4838}, DOI = {10.1093/cid/ciw737}, PUBLISHER = {The University of Chicago Press}, ADDRESS = {Chicago, IL}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Clinical Infectious Diseases}, VOLUME = {64}, NUMBER = {3}, PAGES = {295--300}, }
Endnote
%0 Journal Article %A Bader, Jo&#235;lle %A D&#228;umer, Martin %A Sch&#246;ni-Affolter, Franziska %A B&#246;ni, J&#252;rg %A Gorgievski-Hrisoho, Meri %A Martinetti, Gladys %A Thielen, Alexander %A Klimkait, Thomas %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Therapeutic Immune Recovery and Reduction of CXCR4-Tropic HIV-1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-ECAE-6 %R 10.1093/cid/ciw737 %7 2016 %D 2017 %J Clinical Infectious Diseases %V 64 %N 3 %& 295 %P 295 - 300 %I The University of Chicago Press %C Chicago, IL %@ false
152. Batra R, Alcaraz N, Gitzhofer K, Pauling J, Ditzel HJ, Hellmuth M, Baumbach J, List M: On the Performance of De Novo Pathway Enrichment. njp Systems Biology and Applications 2017, 3.
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@article{Baumbachnjp2016, TITLE = {On the Performance of De Novo Pathway Enrichment}, AUTHOR = {Batra, Richa and Alcaraz, Nicolas and Gitzhofer, Kevin and Pauling, Josch and Ditzel, Henrik J. and Hellmuth, Marc and Baumbach, Jan and List, Markus}, LANGUAGE = {eng}, DOI = {10.1038/s41540-017-0007-2}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2017}, JOURNAL = {njp Systems Biology and Applications}, VOLUME = {3}, PAGES = {1--8}, EID = {6}, }
Endnote
%0 Journal Article %A Batra, Richa %A Alcaraz, Nicolas %A Gitzhofer, Kevin %A Pauling, Josch %A Ditzel, Henrik J. %A Hellmuth, Marc %A Baumbach, Jan %A List, Markus %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Performance of De Novo Pathway Enrichment : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2039-6 %R 10.1038/s41540-017-0007-2 %7 2017 %D 2017 %J njp Systems Biology and Applications %V 3 %& 1 %P 1 - 8 %Z sequence number: 6 %I Nature Publishing Group %C London
153. Berger B, Gaasterland T, Lengauer T, Orengo C, Gaeta B, Markel S, Valencia A: ISCB’s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing. Bioinformatics 2017, 33.
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@article{Berger2017, TITLE = {{ISCB}'s Initial Reaction to {The New England Journal of Medicine} Editorial on Data Sharing}, AUTHOR = {Berger, Bonnie and Gaasterland, Terry and Lengauer, Thomas and Orengo, Christine and Gaeta, Bruno and Markel, Scott and Valencia, Alfonso}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw090}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Bioinformatics}, VOLUME = {33}, NUMBER = {18}, PAGES = {2968--2968}, }
Endnote
%0 Journal Article %A Berger, Bonnie %A Gaasterland, Terry %A Lengauer, Thomas %A Orengo, Christine %A Gaeta, Bruno %A Markel, Scott %A Valencia, Alfonso %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T ISCB&#8217;s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing : %G eng %U http://hdl.handle.net/21.11116/0000-0000-39C4-3 %R 10.1093/bioinformatics/btw090 %7 2017 %D 2017 %J Bioinformatics %V 33 %N 18 %& 2968 %P 2968 - 2968 %I Oxford University Press %C Oxford %@ false
154. Busch CJ-L, Hendrikx T, Weismann D, Jäckel S, Walenbergh SMA, Rendeiro AF, Weißer J, Puhm F, Hladik A, Göderle L, Papac-Milicevic N, Haas G, Millischer V, Subramaniam S, Knapp S, Bennett KL, Bock C, Reinhardt C, Shiri-Sverdlov R, Binder CJ: Malondialdehyde Epitopes Are Sterile Mediators of Hepatic Inflammation in Hypercholesterolemic Mice. Hepatology 2017, 65.
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@article{Busch2017, TITLE = {Malondialdehyde Epitopes Are Sterile Mediators of Hepatic Inflammation in Hypercholesterolemic Mice}, AUTHOR = {Busch, Clara Jana-Lui and Hendrikx, Tim and Weismann, David and J{\"a}ckel, Sven and Walenbergh, Sofie M. A. and Rendeiro, Andr{\'e} F. and Wei{\ss}er, Juliane and Puhm, Florian and Hladik, Anastasiya and G{\"o}derle, Laura and Papac-Milicevic, Nikolina and Haas, Gerald and Millischer, Vincent and Subramaniam, Saravanan and Knapp, Sylvia and Bennett, Keiryn L. and Bock, Christoph and Reinhardt, Christoph and Shiri-Sverdlov, Ronit and Binder, Christoph J.}, LANGUAGE = {eng}, ISSN = {0270-9139}, DOI = {10.1002/hep.28970}, PUBLISHER = {AASLD}, ADDRESS = {Alexandria, VA}, YEAR = {2017}, JOURNAL = {Hepatology}, VOLUME = {65}, NUMBER = {4}, PAGES = {1181--1195}, }
Endnote
%0 Journal Article %A Busch, Clara Jana-Lui %A Hendrikx, Tim %A Weismann, David %A J&#228;ckel, Sven %A Walenbergh, Sofie M. A. %A Rendeiro, Andr&#233; F. %A Wei&#223;er, Juliane %A Puhm, Florian %A Hladik, Anastasiya %A G&#246;derle, Laura %A Papac-Milicevic, Nikolina %A Haas, Gerald %A Millischer, Vincent %A Subramaniam, Saravanan %A Knapp, Sylvia %A Bennett, Keiryn L. %A Bock, Christoph %A Reinhardt, Christoph %A Shiri-Sverdlov, Ronit %A Binder, Christoph J. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Malondialdehyde Epitopes Are Sterile Mediators of Hepatic Inflammation in Hypercholesterolemic Mice : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-576B-C %R 10.1002/hep.28970 %2 PMC5892702 %7 2017 %D 2017 %J Hepatology %V 65 %N 4 %& 1181 %P 1181 - 1195 %I AASLD %C Alexandria, VA %@ false
155. Caskey M, Schoofs T, Gruell H, Settler A, Karagounis T, Kreider EF, Murrell B, Pfeifer N, Nogueira L, Oliveira TY, Learn GH, Cohen YZ, Lehmann C, Gillor D, Shimeliovich I, Unson-O’Brien C, Weiland D, Robles A, Kümmerle T, Wyen C, Levin R, Witmer-Pack M, Eren K, Ignacio C, Kiss S, Jr APW, Mouquet H, Zingman BS, Gulick RM, Keler T, et al.: Antibody 10-1074 Suppresses Viremia in HIV-1-infected Individuals. Nature Medicine 2017, 23.
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@article{Pfeifernature2017, TITLE = {Antibody 10-1074 Suppresses Viremia in {HIV}-1-infected Individuals}, AUTHOR = {Caskey, Marina and Schoofs, Till and Gruell, Henning and Settler, Allison and Karagounis, Theodora and Kreider, Edward F and Murrell, Ben and Pfeifer, Nico and Nogueira, Lilian and Oliveira, Thiago Y and Learn, Gerald H and Cohen, Yehuda Z and Lehmann, Clara and Gillor, Daniel and Shimeliovich, Irina and Unson-O{\textquoteright}Brien, Cecilia and Weiland, Daniela and Robles, Alexander and K{\"u}mmerle, Tim and Wyen, Christoph and Levin, Rebeka and Witmer-Pack, Maggi and Eren, Kemal and Ignacio, Caroline and Kiss, Szilard and Jr, Anthony P West and Mouquet, Hugo and Zingman, Barry S and Gulick, Roy M and Keler, Tibor and Bjorkman, Pamela J and Seaman, Michael S and Hahn, Beatrice H and F{\"a}tkenheuer, Gerd and Schlesinger, Sarah J and Nussenzweig, Michel C and Klein, Florian}, LANGUAGE = {eng}, ISSN = {1078-8956}, DOI = {10.1038/nm.4268}, PUBLISHER = {Nature Pub. Co.}, ADDRESS = {New York, NY}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nature Medicine}, VOLUME = {23}, NUMBER = {2}, PAGES = {185--191}, }
Endnote
%0 Journal Article %A Caskey, Marina %A Schoofs, Till %A Gruell, Henning %A Settler, Allison %A Karagounis, Theodora %A Kreider, Edward F %A Murrell, Ben %A Pfeifer, Nico %A Nogueira, Lilian %A Oliveira, Thiago Y %A Learn, Gerald H %A Cohen, Yehuda Z %A Lehmann, Clara %A Gillor, Daniel %A Shimeliovich, Irina %A Unson-O&#8217;Brien, Cecilia %A Weiland, Daniela %A Robles, Alexander %A K&#252;mmerle, Tim %A Wyen, Christoph %A Levin, Rebeka %A Witmer-Pack, Maggi %A Eren, Kemal %A Ignacio, Caroline %A Kiss, Szilard %A Jr, Anthony P West %A Mouquet, Hugo %A Zingman, Barry S %A Gulick, Roy M %A Keler, Tibor %A Bjorkman, Pamela J %A Seaman, Michael S %A Hahn, Beatrice H %A F&#228;tkenheuer, Gerd %A Schlesinger, Sarah J %A Nussenzweig, Michel C %A Klein, Florian %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Antibody 10-1074 Suppresses Viremia in HIV-1-infected Individuals : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-7F0C-8 %R 10.1038/nm.4268 %7 2017-01-16 %D 2017 %J Nature Medicine %O Nat. Med. %V 23 %N 2 %& 185 %P 185 - 191 %I Nature Pub. Co. %C New York, NY %@ false
156. Datlinger P, Rendeiro AF, Schmidl C, Krausgruber T, Traxler P, Klughammer J, Schuster LC, Kuchler A, Alpar D, Bock C: Pooled CRISPR Screening with Single-cell Transcriptome Readout. Nature Methods 2017, 14.
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@article{Bocknature2017, TITLE = {Pooled {CRISPR} Screening with Single-cell Transcriptome Readout}, AUTHOR = {Datlinger, Paul and Rendeiro, Andr{\'e} F and Schmidl, Christian and Krausgruber, Thomas and Traxler, Peter and Klughammer, Johanna and Schuster, Linda C and Kuchler, Amelie and Alpar, Donat and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {10.1038/nmeth.4177}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nature Methods}, VOLUME = {14}, NUMBER = {3}, PAGES = {297--301}, }
Endnote
%0 Journal Article %A Datlinger, Paul %A Rendeiro, Andr&#233; F %A Schmidl, Christian %A Krausgruber, Thomas %A Traxler, Peter %A Klughammer, Johanna %A Schuster, Linda C %A Kuchler, Amelie %A Alpar, Donat %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Pooled CRISPR Screening with Single-cell Transcriptome Readout : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-532B-2 %R 10.1038/nmeth.4177 %7 2017 %D 2017 %J Nature Methods %O Nature methods %V 14 %N 3 %& 297 %P 297 - 301 %I Nature Pub. Group %C New York, NY %@ false
157. Demirci MDS, Baumbach J, Allmer J: On the Performance of pre-microRNA Detection Algorithms. Nature Communications 2017, 8.
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@article{Demirci2017, TITLE = {On the performance of pre-micro{RNA} detection algorithms}, AUTHOR = {Demirci, M{\"u}{\c s}erref Duygu Sa{\c c}ar and Baumbach, Jan and Allmer, Jens}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-017-00403-z}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2017}, JOURNAL = {Nature Communications}, VOLUME = {8}, EID = {330}, }
Endnote
%0 Journal Article %A Demirci, M&#252;&#351;erref Duygu Sa&#231;ar %A Baumbach, Jan %A Allmer, Jens %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T On the Performance of pre-microRNA Detection Algorithms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-DC7E-1 %R 10.1038/s41467-017-00403-z %2 PMC5571158 %7 2017-08-24 %D 2017 %8 24.08.2017 %J Nature Communications %O Nat. Commun. %V 8 %Z sequence number: 330 %I Nature Publishing Group %C London %@ false
158. Ebler J, Schönhuth A, Marschall T: Genotyping of Inversions and Tandem Duplications. Bioinformatics 2017, 33.
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@article{Marshallbio17, TITLE = {Genotyping of Inversions and Tandem Duplications}, AUTHOR = {Ebler, Jana and Sch{\"o}nhuth, Alexander and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btx020}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Bioinformatics}, VOLUME = {33}, NUMBER = {24}, PAGES = {4015--4023}, EID = {btx020}, }
Endnote
%0 Journal Article %A Ebler, Jana %A Sch&#246;nhuth, Alexander %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotyping of Inversions and Tandem Duplications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-468F-7 %R 10.1093/bioinformatics/btx020 %7 2017-02-07 %D 2017 %J Bioinformatics %V 33 %N 24 %& 4015 %P 4015 - 4023 %Z sequence number: btx020 %I Oxford University Press %C Oxford %@ false
159. Gress A, Ramensky V, Kalinina OV: Spatial Distribution of Disease-associated Variants in Three-dimensional Structures of Protein Complexes. Oncogenesis 2017, 6.
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@article{Gress_2017, TITLE = {Spatial Distribution of Disease-associated Variants in Three-dimensional Structures of Protein Complexes}, AUTHOR = {Gress, Alexander and Ramensky, V. and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {2157-9024}, DOI = {10.1038/oncsis.2017.79}, PUBLISHER = {Nature Publishing}, YEAR = {2017}, JOURNAL = {Oncogenesis}, VOLUME = {6}, NUMBER = {9}, EID = {e380}, }
Endnote
%0 Journal Article %A Gress, Alexander %A Ramensky, V. %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Spatial Distribution of Disease-associated Variants in Three-dimensional Structures of Protein Complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002E-24CF-8 %R 10.1038/oncsis.2017.79 %2 PMC5623905 %7 2017 %D 2017 %J Oncogenesis %V 6 %N 9 %Z sequence number: e380 %I Nature Publishing %@ false
160. Hake A, Pfeifer N: Prediction of HIV-1 Sensitivity to Broadly Neutralizing Antibodies Shows a Trend towards Resistance over Time. PLoS Computational Biology 2017, 13.
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@article{HakePfeifer2017, TITLE = {Prediction of {HIV}-1 Sensitivity to Broadly Neutralizing Antibodies Shows a Trend towards Resistance over Time}, AUTHOR = {Hake, Anna and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.1005789}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2017}, JOURNAL = {PLoS Computational Biology}, VOLUME = {13}, NUMBER = {10}, EID = {e1005789}, }
Endnote
%0 Journal Article %A Hake, Anna %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prediction of HIV-1 Sensitivity to Broadly Neutralizing Antibodies Shows a Trend towards Resistance over Time : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002E-3127-A %R 10.1371/journal.pcbi.1005789 %2 PMC5669501 %7 2017 %D 2017 %J PLoS Computational Biology %V 13 %N 10 %Z sequence number: e1005789 %I Public Library of Science %C San Francisco, CA %@ false
161. Hashemi S, Dalini AN, Jalali A, Banaei-Moghaddam AM, Razaghi-Moghadam Z: Cancerouspdomains: Comprehensive Analysis of Cancer Type-specific Recurrent Somatic Mutations in Proteins and Domains. BMC Bioinformatics 2017, 18.
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@article{Hashemi2017, TITLE = {Cancerouspdomains: {C}omprehensive analysis of cancer type-specific recurrent somatic mutations in proteins and domains}, AUTHOR = {Hashemi, Seirana and Dalini, Abbas Nowzari and Jalali, Adrin and Banaei-Moghaddam, Ali Mohammad and Razaghi-Moghadam, Zahra}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/s12859-017-1779-5}, PUBLISHER = {BioMed Central}, YEAR = {2017}, JOURNAL = {BMC Bioinformatics}, VOLUME = {18}, EID = {370}, }
Endnote
%0 Journal Article %A Hashemi, Seirana %A Dalini, Abbas Nowzari %A Jalali, Adrin %A Banaei-Moghaddam, Ali Mohammad %A Razaghi-Moghadam, Zahra %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Cancerouspdomains: Comprehensive Analysis of Cancer Type-specific Recurrent Somatic Mutations in Proteins and Domains : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-DDC4-C %R 10.1186/s12859-017-1779-5 %7 2017 %D 2017 %J BMC Bioinformatics %V 18 %Z sequence number: 370 %I BioMed Central %@ false
162. Heger E, Kaiser R, Knops E, Neumann-Fraune M, Pironti A, Lengauer T, Walter H, Sierra S: Results of the First International HIV-1 Coreceptor Proficiency Panel Test. Journal of Clinical Virology 2017, 93.
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@article{Heger2017, TITLE = {Results of the First International {HIV}-1 Coreceptor Proficiency Panel Test}, AUTHOR = {Heger, Eva and Kaiser, Rolf and Knops, Elena and Neumann-Fraune, Maria and Pironti, Alejandro and Lengauer, Thomas and Walter, Hauke and Sierra, Saleta}, LANGUAGE = {eng}, ISSN = {1386-6532}, DOI = {10.1016/j.jcv.2017.06.002}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Journal of Clinical Virology}, VOLUME = {93}, PAGES = {53--56}, }
Endnote
%0 Journal Article %A Heger, Eva %A Kaiser, Rolf %A Knops, Elena %A Neumann-Fraune, Maria %A Pironti, Alejandro %A Lengauer, Thomas %A Walter, Hauke %A Sierra, Saleta %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Results of the First International HIV-1 Coreceptor Proficiency Panel Test : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002E-0189-7 %R 10.1016/j.jcv.2017.06.002 %7 2017 %D 2017 %J Journal of Clinical Virology %V 93 %& 53 %P 53 - 56 %I Elsevier %C Amsterdam %@ false
163. Jühling F, Bandiera S, Hamdane N, Thumann C, Durand SC, Saghire H. E, Davidson I, Habersetzer F, Pessaux P, Bardeesy N, Schmidl C, Bock C, Hoshida Y, Zeisel MB, Baumert TF: Hepatitis C Virus-induced Epigenetic and Transcriptional Changes Persist Post Cure. Journal of Hepatology 2017, 66.
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@article{Juehling2017, TITLE = {Hepatitis {C} Virus-induced Epigenetic and Transcriptional Changes Persist Post Cure}, AUTHOR = {J{\"u}hling, F. and Bandiera, S. and Hamdane, N. and Thumann, C. and Durand, S. C. and Saghire, H .E. and Davidson, I. and Habersetzer, F. and Pessaux, P. and Bardeesy, N. and Schmidl, C. and Bock, Christoph and Hoshida, Y. and Zeisel, M. B. and Baumert, T. F.}, LANGUAGE = {eng}, ISBN = {0168-8278}, URL = {http://dx.doi.org/10.1016/S0168-8278(17)30304-5}, DOI = {10.1016/S0168-8278(17)30304-5}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Journal of Hepatology}, VOLUME = {66}, NUMBER = {1}, PAGES = {S21--S21}, }
Endnote
%0 Journal Article %A J&#252;hling, F. %A Bandiera, S. %A Hamdane, N. %A Thumann, C. %A Durand, S. C. %A Saghire, H .E. %A Davidson, I. %A Habersetzer, F. %A Pessaux, P. %A Bardeesy, N. %A Schmidl, C. %A Bock, Christoph %A Hoshida, Y. %A Zeisel, M. B. %A Baumert, T. F. %+ external external external external external external external external external external external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external external external %T Hepatitis C Virus-induced Epigenetic and Transcriptional Changes Persist Post Cure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-7861-8 %U http://dx.doi.org/10.1016/S0168-8278(17)30304-5 %R 10.1016/S0168-8278(17)30304-5 %7 2017 %D 2017 %J Journal of Hepatology %V 66 %N 1 %& S21 %P S21 - S21 %I Elsevier %C Amsterdam %@ 0168-8278
164. Kalaghatgi P, Lengauer T: Computing Phylogenetic Trees Using Topologically Related Minimum Spanning Trees. Journal of Graph Algorithms and Applications 2017, 21.
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@article{Kalaghatgi2017a, TITLE = {Computing Phylogenetic Trees Using Topologically Related Minimum Spanning Trees}, AUTHOR = {Kalaghatgi, Prabhav and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1526-1719}, DOI = {10.7155/jgaa.00447}, PUBLISHER = {Brown University, Dept. of Computer Science}, ADDRESS = {Providence, R.I.}, YEAR = {2017}, JOURNAL = {Journal of Graph Algorithms and Applications}, VOLUME = {21}, NUMBER = {6}, PAGES = {1003--1025}, }
Endnote
%0 Journal Article %A Kalaghatgi, Prabhav %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computing Phylogenetic Trees Using Topologically Related Minimum Spanning Trees : %G eng %U http://hdl.handle.net/21.11116/0000-0000-39A9-2 %R 10.7155/jgaa.00447 %7 2017 %D 2017 %J Journal of Graph Algorithms and Applications %V 21 %N 6 %& 1003 %P 1003 - 1025 %I Brown University, Dept. of Computer Science %C Providence, R.I. %@ false
165. Selecting Optimal Minimum Spanning Trees that Share a Topological Correspondence with Phylogenetic Trees [http://arxiv.org/abs/1701.02844]
(arXiv: 1701.02844)
Abstract
Choi et. al (2011) introduced a minimum spanning tree (MST)-based method called CLGrouping, for constructing tree-structured probabilistic graphical models, a statistical framework that is commonly used for inferring phylogenetic trees. While CLGrouping works correctly if there is a unique MST, we observe an indeterminacy in the method in the case that there are multiple MSTs. In this work we remove this indeterminacy by introducing so-called vertex-ranked MSTs. We note that the effectiveness of CLGrouping is inversely related to the number of leaves in the MST. This motivates the problem of finding a vertex-ranked MST with the minimum number of leaves (MLVRMST). We provide a polynomial time algorithm for the MLVRMST problem, and prove its correctness for graphs whose edges are weighted with tree-additive distances.
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@online{Kalaghatgi2017, TITLE = {Selecting Optimal Minimum Spanning Trees that Share a Topological Correspondence with Phylogenetic Trees}, AUTHOR = {Kalaghatgi, Prabhav and Lengauer, Thomas}, LANGUAGE = {eng}, URL = {http://arxiv.org/abs/1701.02844}, EPRINT = {1701.02844}, EPRINTTYPE = {arXiv}, YEAR = {2017}, ABSTRACT = {Choi et. al (2011) introduced a minimum spanning tree (MST)-based method called CLGrouping, for constructing tree-structured probabilistic graphical models, a statistical framework that is commonly used for inferring phylogenetic trees. While CLGrouping works correctly if there is a unique MST, we observe an indeterminacy in the method in the case that there are multiple MSTs. In this work we remove this indeterminacy by introducing so-called vertex-ranked MSTs. We note that the effectiveness of CLGrouping is inversely related to the number of leaves in the MST. This motivates the problem of finding a vertex-ranked MST with the minimum number of leaves (MLVRMST). We provide a polynomial time algorithm for the MLVRMST problem, and prove its correctness for graphs whose edges are weighted with tree-additive distances.}, }
Endnote
%0 Report %A Kalaghatgi, Prabhav %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Selecting Optimal Minimum Spanning Trees that Share a Topological Correspondence with Phylogenetic Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-3E81-2 %U http://arxiv.org/abs/1701.02844 %D 2017 %X Choi et. al (2011) introduced a minimum spanning tree (MST)-based method called CLGrouping, for constructing tree-structured probabilistic graphical models, a statistical framework that is commonly used for inferring phylogenetic trees. While CLGrouping works correctly if there is a unique MST, we observe an indeterminacy in the method in the case that there are multiple MSTs. In this work we remove this indeterminacy by introducing so-called vertex-ranked MSTs. We note that the effectiveness of CLGrouping is inversely related to the number of leaves in the MST. This motivates the problem of finding a vertex-ranked MST with the minimum number of leaves (MLVRMST). We provide a polynomial time algorithm for the MLVRMST problem, and prove its correctness for graphs whose edges are weighted with tree-additive distances. %K Mathematics, Combinatorics, math.CO,Computer Science, Data Structures and Algorithms, cs.DS
166. Kehl T, Schneider L, Schmidt F, Stöckel D, Gerstner N, Backes C, Meese E, Keller A, Schulz MH, Lenhof H-P: RegulatorTrail: A Web Service for the Identification of Key Transcriptional Regulators. Nucleic Acids Research 2017, 45.
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@article{Kehl2017, TITLE = {{RegulatorTrail}: {A} Web Service for the Identification of Key Transcriptional Regulators}, AUTHOR = {Kehl, Tim and Schneider, Lara and Schmidt, Florian and St{\"o}ckel, Daniel and Gerstner, Nico and Backes, Christina and Meese, Eckart and Keller, Andreas and Schulz, Marcel Holger and Lenhof, Hans-Peter}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkx350}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nucleic Acids Research}, VOLUME = {45}, NUMBER = {W1}, PAGES = {W146--W153}, }
Endnote
%0 Journal Article %A Kehl, Tim %A Schneider, Lara %A Schmidt, Florian %A St&#246;ckel, Daniel %A Gerstner, Nico %A Backes, Christina %A Meese, Eckart %A Keller, Andreas %A Schulz, Marcel Holger %A Lenhof, Hans-Peter %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T RegulatorTrail: A Web Service for the Identification of Key Transcriptional Regulators : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-C393-D %R 10.1093/nar/gkx350 %2 PMC5570139 %7 2017 %D 2017 %J Nucleic Acids Research %O Nucleic Acids Res %V 45 %N W1 %& W146 %P W146 - W153 %I Oxford University Press %C Oxford %@ false
167. Klau GW, Marschall T: A Guided Tour to Computational Haplotyping. In Unveiling Dynamics and Complexity (CiE 2017). Springer; 2017. [Lecture Notes in Computer Science, vol. 10307]
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@inproceedings{Klau_CiE2017, TITLE = {A Guided Tour to Computational Haplotyping}, AUTHOR = {Klau, Gunnar W. and Marschall, Tobias}, LANGUAGE = {eng}, ISBN = {978-3-319-58740-0}, DOI = {10.1007/978-3-319-58741-7_6}, PUBLISHER = {Springer}, YEAR = {2017}, DATE = {2017}, BOOKTITLE = {Unveiling Dynamics and Complexity (CiE 2017)}, EDITOR = {Kari, Jarkko and Manea, Florin and Petre, Ion}, PAGES = {50-63}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {10307}, ADDRESS = {Turku, Finland}, }
Endnote
%0 Conference Proceedings %A Klau, Gunnar W. %A Marschall, Tobias %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Guided Tour to Computational Haplotyping : %G eng %U http://hdl.handle.net/21.11116/0000-0001-4053-9 %R 10.1007/978-3-319-58741-7_6 %D 2017 %B 13th Conference on Computability in Europe %Z date of event: 2017-06-12 - 2017-06-16 %C Turku, Finland %B Unveiling Dynamics and Complexity %E Kari, Jarkko; Manea, Florin; Petre, Ion %P 50-63 %I Springer %@ 978-3-319-58740-0 %B Lecture Notes in Computer Science %N 10307
168. Knops E, Schübel N, Heger E, Neumann-Fraune M, Kaiser R, Inden S, Kalaghatgi P, Sierra S: HCV Resistance Profile Evolution in a GT1b, DAA-Naive Patient Before, On, and After Failing Triple DAA Therapy. Clinical Gastroenterology and Hepatology 2017, 15.
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@article{Knops2017, TITLE = {{HCV} Resistance Profile Evolution in a {GT1b}, {DAA}-Naive Patient Before, On, and After Failing Triple {DAA} Therapy}, AUTHOR = {Knops, Elena and Sch{\"u}bel, Niels and Heger, Eva and Neumann-Fraune, Maria and Kaiser, Rolf and Inden, Stephanie and Kalaghatgi, Prabhav and Sierra, Saleta}, LANGUAGE = {eng}, DOI = {10.1016/j.cgh.2016.09.139}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Clinical Gastroenterology and Hepatology}, VOLUME = {15}, NUMBER = {2}, PAGES = {307--309}, }
Endnote
%0 Journal Article %A Knops, Elena %A Sch&#252;bel, Niels %A Heger, Eva %A Neumann-Fraune, Maria %A Kaiser, Rolf %A Inden, Stephanie %A Kalaghatgi, Prabhav %A Sierra, Saleta %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T HCV Resistance Profile Evolution in a GT1b, DAA-Naive Patient Before, On, and After Failing Triple DAA Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-ECB2-B %R 10.1016/j.cgh.2016.09.139 %7 2017 %D 2017 %J Clinical Gastroenterology and Hepatology %V 15 %N 2 %& 307 %P 307 - 309 %I Elsevier %C Amsterdam
169. Licciardello MP, Ringler A, Markt P, Klepsch F, Lardeau C-H, Sdelci S, Schirghuber E, Müller AC, Caldera M, Wagner A, Herzog R, Penz T, Schuster M, Boidol B, Dürnberger G, Folkvaljon Y, Stattin P, Ivanov V, Colinge J, Bock C, Kratochwill K, Menche J, Bennett KL, Kubicek S: A Combinatorial Screen of the CLOUD Uncovers a Synergy Targeting the Androgen Receptor. Nature Chemical Biology 2017, 13.
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@article{Licciardello2017, TITLE = {A Combinatorial Screen of the {CLOUD} Uncovers a Synergy Targeting the Androgen Receptor}, AUTHOR = {Licciardello, Marco P. and Ringler, Anna and Markt, Patrick and Klepsch, Freya and Lardeau, Charles-Hugues and Sdelci, Sara and Schirghuber, Erika and M{\"u}ller, Andr{\'e} C. and Caldera, Michael and Wagner, Anja and Herzog, Rebecca and Penz, Thomas and Schuster, Michael and Boidol, Bernd and D{\"u}rnberger, Gerhard and Folkvaljon, Yasin and Stattin, P{\"a}r and Ivanov, Vladimir and Colinge, Jacques and Bock, Christoph and Kratochwill, Klaus and Menche, J{\"o}rg and Bennett, Keiryn L. and Kubicek, Stefan}, LANGUAGE = {eng}, ISSN = {1552-4450}, DOI = {10.1038/nchembio.2382}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nature Chemical Biology}, VOLUME = {13}, PAGES = {771--778}, }
Endnote
%0 Journal Article %A Licciardello, Marco P. %A Ringler, Anna %A Markt, Patrick %A Klepsch, Freya %A Lardeau, Charles-Hugues %A Sdelci, Sara %A Schirghuber, Erika %A M&#252;ller, Andr&#233; C. %A Caldera, Michael %A Wagner, Anja %A Herzog, Rebecca %A Penz, Thomas %A Schuster, Michael %A Boidol, Bernd %A D&#252;rnberger, Gerhard %A Folkvaljon, Yasin %A Stattin, P&#228;r %A Ivanov, Vladimir %A Colinge, Jacques %A Bock, Christoph %A Kratochwill, Klaus %A Menche, J&#246;rg %A Bennett, Keiryn L. %A Kubicek, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T A Combinatorial Screen of the CLOUD Uncovers a Synergy Targeting the Androgen Receptor : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-8F17-5 %R 10.1038/nchembio.2382 %7 2017-05-22 %D 2017 %J Nature Chemical Biology %O Nat. Chem. Biol. %V 13 %& 771 %P 771 - 778 %I Nature Pub. Group %C New York, NY %@ false
170. Li J, Casteels T, Frogne T, Ingvorsen C, Honoré C, Courtney M, Huber KVM, Schmitner N, Kimmel RA, Romanov RA, Sturtzel C, Lardeau C-H, Klughammer J, Farlik M, Sdelci S, Vieira A, Avolio F, Briand F, Baburin I, Májek P, Pauler FM, Penz T, Stukalov A, Gridling M, Parapatics K, Barbieux C, Berishvili E, Spittler A, Colinge J, Bennett KL, et al.: Artemisinins Target GABA A Receptor Signaling and Impair α Cell Identity. Cell 2017, 168.
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@article{Li2017, TITLE = {Artemisinins Target {GABA$_{\mathrm A}$} Receptor Signaling and Impair $\alpha$ Cell Identity}, AUTHOR = {Li, Jin and Casteels, Tamara and Frogne, Thomas and Ingvorsen, Camilla and Honor{\'e}, Christian and Courtney, Monica and Huber, Kilian V. M. and Schmitner, Nicole and Kimmel, Robin A. and Romanov, Roman A. and Sturtzel, Caterina and Lardeau, Charles-Hugues and Klughammer, Johanna and Farlik, Matthias and Sdelci, Sara and Vieira, Andhira and Avolio, Fabio and Briand, Fran{\c c}ois and Baburin, Igor and M{\'a}jek, Peter and Pauler, Florian M. and Penz, Thomas and Stukalov, Alexey and Gridling, Manuela and Parapatics, Katja and Barbieux, Charlotte and Berishvili, Ekaterine and Spittler, Andreas and Colinge, Jacques and Bennett, Keiryn L. and Hering, Steffen and Sulpice, Thierry and Bock, Christoph and Distel, Martin and Harkany, Tibor and Meyer, Dirk and Superti-Furga, Giulio and Collombat, Patrick and Hecksher-S{\o}rensen, Jacob and Kubicek, Stefan}, LANGUAGE = {eng}, ISSN = {0092-8674}, DOI = {10.1016/j.cell.2016.11.010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Cell}, VOLUME = {168}, NUMBER = {1-2}, PAGES = {86--100}, EID = {e15}, }
Endnote
%0 Journal Article %A Li, Jin %A Casteels, Tamara %A Frogne, Thomas %A Ingvorsen, Camilla %A Honor&#233;, Christian %A Courtney, Monica %A Huber, Kilian V. M. %A Schmitner, Nicole %A Kimmel, Robin A. %A Romanov, Roman A. %A Sturtzel, Caterina %A Lardeau, Charles-Hugues %A Klughammer, Johanna %A Farlik, Matthias %A Sdelci, Sara %A Vieira, Andhira %A Avolio, Fabio %A Briand, Fran&#231;ois %A Baburin, Igor %A M&#225;jek, Peter %A Pauler, Florian M. %A Penz, Thomas %A Stukalov, Alexey %A Gridling, Manuela %A Parapatics, Katja %A Barbieux, Charlotte %A Berishvili, Ekaterine %A Spittler, Andreas %A Colinge, Jacques %A Bennett, Keiryn L. %A Hering, Steffen %A Sulpice, Thierry %A Bock, Christoph %A Distel, Martin %A Harkany, Tibor %A Meyer, Dirk %A Superti-Furga, Giulio %A Collombat, Patrick %A Hecksher-S&#248;rensen, Jacob %A Kubicek, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Artemisinins Target GABA A Receptor Signaling and Impair &#945; Cell Identity : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-5C72-1 %2 PMC5236063 %R 10.1016/j.cell.2016.11.010 %7 2017 %D 2017 %J Cell %V 168 %N 1-2 %& 86 %P 86 - 100 %Z sequence number: e15 %I Elsevier %C Amsterdam %@ false
171. List M, Ebert P, Albrecht F: Ten Simple Rules for Developing Usable Software in Computational Biology. PLoS Computational Biology 2017, 13.
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@article{ListPloSCompBiol2016, TITLE = {Ten Simple Rules for Developing Usable Software in Computational Biology}, AUTHOR = {List, Markus and Ebert, Peter and Albrecht, Felipe}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.1005265}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2017}, JOURNAL = {PLoS Computational Biology}, VOLUME = {13}, NUMBER = {1}, EID = {e1005265}, }
Endnote
%0 Journal Article %A List, Markus %A Ebert, Peter %A Albrecht, Felipe %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Ten Simple Rules for Developing Usable Software in Computational Biology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-203B-2 %R 10.1371/journal.pcbi.1005265 %7 2017-01-05 %D 2017 %8 05.01.2017 %J PLoS Computational Biology %V 13 %N 1 %Z sequence number: e1005265 %I Public Library of Science %C San Francisco, CA %@ false
172. List M, Elnegaard MP, Schmidt S, Christiansen H, Tan Q, Mollenhauer J, Baumbach J: Efficient Management of High-Throughput Screening Libraries with SAVANAH. Journal of Biomolecular Screening 2017, 22.
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@article{List2016b, TITLE = {Efficient Management of High-Throughput Screening Libraries with {SAVANAH}}, AUTHOR = {List, Markus and Elnegaard, Marlene Pedersen and Schmidt, Steffen and Christiansen, Helle and Tan, Qihua and Mollenhauer, Jan and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1087-0571}, DOI = {10.1177/1087057116673607}, PUBLISHER = {Sage Publications, Inc.}, ADDRESS = {Larchmont, NY}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Journal of Biomolecular Screening}, VOLUME = {22}, NUMBER = {2}, PAGES = {196--202}, }
Endnote
%0 Journal Article %A List, Markus %A Elnegaard, Marlene Pedersen %A Schmidt, Steffen %A Christiansen, Helle %A Tan, Qihua %A Mollenhauer, Jan %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient Management of High-Throughput Screening Libraries with SAVANAH : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-202F-D %R 10.1177/1087057116673607 %7 2016-10-11 %D 2017 %J Journal of Biomolecular Screening %V 22 %N 2 %& 196 %P 196 - 202 %I Sage Publications, Inc. %C Larchmont, NY %@ false
173. List M: Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform. Journal of Integrative Bioinformatics 2017, 14.
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@article{ListJIB2017, TITLE = {Using {Docker} Compose for the Simple Deployment of an Integrated Drug Target Screening Platform}, AUTHOR = {List, Markus}, LANGUAGE = {eng}, ISSN = {1613-4516}, DOI = {10.1515/jib-2017-0016}, PUBLISHER = {de Gruyter}, ADDRESS = {Berlin}, YEAR = {2017}, JOURNAL = {Journal of Integrative Bioinformatics}, VOLUME = {14}, NUMBER = {2}, EID = {20170016}, }
Endnote
%0 Journal Article %A List, Markus %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-DDE3-6 %R 10.1515/jib-2017-0016 %7 2017 %D 2017 %J Journal of Integrative Bioinformatics %V 14 %N 2 %Z sequence number: 20170016 %I de Gruyter %C Berlin %@ false
174. Lund JB, List M, Baumbach J: Interactive Microbial Distribution Analysis using BioAtlas. Nucleic Acids Research 2017, 45.
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@article{LundListBaumbach2017, TITLE = {Interactive microbial distribution analysis using {BioAtlas}}, AUTHOR = {Lund, Jesper Beltoft and List, Markus and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkx304}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nucleic Acids Research}, VOLUME = {45}, NUMBER = {W1}, PAGES = {W509--W513}, }
Endnote
%0 Journal Article %A Lund, Jesper Beltoft %A List, Markus %A Baumbach, Jan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Interactive Microbial Distribution Analysis using BioAtlas : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-C387-9 %R 10.1093/nar/gkx304 %2 PMC5570126 %7 2017 %D 2017 %J Nucleic Acids Research %O Nucleic Acids Res %V 45 %N W1 %& W509 %P W509 - W513 %I Oxford University Press %C Oxford %@ false
175. Müller F: Analyzing DNA Methylation Signatures of Cell Identity. Universität des Saarlandes; 2017.
Abstract
Although virtually all cells in an organism share the same genome, regulatory mechanisms give rise to hundreds of different, highly specialized cell types. Understanding these mechanisms has been in the limelight of epigenomic research. It is now evident that cellular identity is inscribed in the epigenome of each individual cell. Nonetheless, the precise mechanisms by which different epigenomic marks are involved in regulating gene expression are just beginning to be unraveled. Furthermore, epigenomic patterns are highly dynamic and subject to environmental influences. Any given cell type is defined by cell populations exhibiting epigenetic heterogeneity at different levels. Characterizing this heterogeneity is paramount in understanding the regulatory role of the epigenome. Different epigenomic marks can be profiled using high-throughput sequencing, and global initiatives have started to provide a comprehensive picture of the human epigenome by assaying a multitude of marks across a broad panel of cell types and conditions. In particular, DNA methylation has been extensively studied for its gene-regulatory role in health and disease. This thesis describes computational methods and pipelines for the analysis of DNA methylation data. It provides concepts for addressing bioinformatic challenges such as the processing of large, epigenome-wide datasets and integrating multiple levels of information in an interpretable manner. We developed RnBeads, an R package that facilitates comprehensive, interpretable analysis of large-scale DNA methylation datasets at the level of single CpGs or genomic regions of interest. With the epiRepeatR pipeline, we introduced additional tools for studying global patterns of epigenomic marks in transposons and other repetitive regions of the genome. Blood-cell differentiation represents a useful model for studying trajectories of cellular differentiation. We developed and applied bioinformatic methods to dissect the DNA methylation landscape of the hematopoietic system. Here, we provide a broad outline of cell-type-specific DNA methylation signatures and phenotypic diversity reflected in the epigenomes of human mature blood cells. We also describe the DNA methylation dynamics in the process of immune memory formation in T helper cells. Moreover, we portrayed epigenetic fingerprints of defined progenitor cell types and derived computational models that were capable of accurately inferring cell identity. We used these models in order to characterize heterogeneity in progenitor cell populations, to identify DNA methylation signatures of hematopoietic differentiation and to infer the epigenomic similarities of blood cell types. Finally, by interpreting DNA methylation patterns in leukemia and derived pluripotent cells, we started to discern how epigenomic patterns are altered in disease and explored how reprogramming of these patterns could potentially be used to restore a non-malignant state. In summary, this work showcases novel methods and computational tools for the identification and interpretation of epigenetic signatures of cell identity. It provides a detailed view on the epigenomic landscape spanned by DNA methylation patterns in hematopoietic cells that enhances our understanding of epigenetic regulation in cell differentiation and disease.
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@phdthesis{muellerphd17, TITLE = {Analyzing {DNA} Methylation Signatures of Cell Identity}, AUTHOR = {M{\"u}ller, Fabian}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-69432}, DOI = {10.17617/2.2474737}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2017}, DATE = {2017}, ABSTRACT = {Although virtually all cells in an organism share the same genome, regulatory mechanisms give rise to hundreds of different, highly specialized cell types. Understanding these mechanisms has been in the limelight of epigenomic research. It is now evident that cellular identity is inscribed in the epigenome of each individual cell. Nonetheless, the precise mechanisms by which different epigenomic marks are involved in regulating gene expression are just beginning to be unraveled. Furthermore, epigenomic patterns are highly dynamic and subject to environmental influences. Any given cell type is defined by cell populations exhibiting epigenetic heterogeneity at different levels. Characterizing this heterogeneity is paramount in understanding the regulatory role of the epigenome. Different epigenomic marks can be profiled using high-throughput sequencing, and global initiatives have started to provide a comprehensive picture of the human epigenome by assaying a multitude of marks across a broad panel of cell types and conditions. In particular, DNA methylation has been extensively studied for its gene-regulatory role in health and disease. This thesis describes computational methods and pipelines for the analysis of DNA methylation data. It provides concepts for addressing bioinformatic challenges such as the processing of large, epigenome-wide datasets and integrating multiple levels of information in an interpretable manner. We developed RnBeads, an R package that facilitates comprehensive, interpretable analysis of large-scale DNA methylation datasets at the level of single CpGs or genomic regions of interest. With the epiRepeatR pipeline, we introduced additional tools for studying global patterns of epigenomic marks in transposons and other repetitive regions of the genome. Blood-cell differentiation represents a useful model for studying trajectories of cellular differentiation. We developed and applied bioinformatic methods to dissect the DNA methylation landscape of the hematopoietic system. Here, we provide a broad outline of cell-type-specific DNA methylation signatures and phenotypic diversity reflected in the epigenomes of human mature blood cells. We also describe the DNA methylation dynamics in the process of immune memory formation in T helper cells. Moreover, we portrayed epigenetic fingerprints of defined progenitor cell types and derived computational models that were capable of accurately inferring cell identity. We used these models in order to characterize heterogeneity in progenitor cell populations, to identify DNA methylation signatures of hematopoietic differentiation and to infer the epigenomic similarities of blood cell types. Finally, by interpreting DNA methylation patterns in leukemia and derived pluripotent cells, we started to discern how epigenomic patterns are altered in disease and explored how reprogramming of these patterns could potentially be used to restore a non-malignant state. In summary, this work showcases novel methods and computational tools for the identification and interpretation of epigenetic signatures of cell identity. It provides a detailed view on the epigenomic landscape spanned by DNA methylation patterns in hematopoietic cells that enhances our understanding of epigenetic regulation in cell differentiation and disease.}, }
Endnote
%0 Thesis %A M&#252;ller, Fabian %Y Lengauer, Thomas %A referee: Bock, Christoph %A referee: Brors, Benedikt %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Analyzing DNA Methylation Signatures of Cell Identity : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-D9AA-6 %U urn:nbn:de:bsz:291-scidok-69432 %R 10.17617/2.2474737 %F OTHER: hdl:20.500.11880/26867 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2017 %P 177 p. %V phd %9 phd %X Although virtually all cells in an organism share the same genome, regulatory mechanisms give rise to hundreds of different, highly specialized cell types. Understanding these mechanisms has been in the limelight of epigenomic research. It is now evident that cellular identity is inscribed in the epigenome of each individual cell. Nonetheless, the precise mechanisms by which different epigenomic marks are involved in regulating gene expression are just beginning to be unraveled. Furthermore, epigenomic patterns are highly dynamic and subject to environmental influences. Any given cell type is defined by cell populations exhibiting epigenetic heterogeneity at different levels. Characterizing this heterogeneity is paramount in understanding the regulatory role of the epigenome. Different epigenomic marks can be profiled using high-throughput sequencing, and global initiatives have started to provide a comprehensive picture of the human epigenome by assaying a multitude of marks across a broad panel of cell types and conditions. In particular, DNA methylation has been extensively studied for its gene-regulatory role in health and disease. This thesis describes computational methods and pipelines for the analysis of DNA methylation data. It provides concepts for addressing bioinformatic challenges such as the processing of large, epigenome-wide datasets and integrating multiple levels of information in an interpretable manner. We developed RnBeads, an R package that facilitates comprehensive, interpretable analysis of large-scale DNA methylation datasets at the level of single CpGs or genomic regions of interest. With the epiRepeatR pipeline, we introduced additional tools for studying global patterns of epigenomic marks in transposons and other repetitive regions of the genome. Blood-cell differentiation represents a useful model for studying trajectories of cellular differentiation. We developed and applied bioinformatic methods to dissect the DNA methylation landscape of the hematopoietic system. Here, we provide a broad outline of cell-type-specific DNA methylation signatures and phenotypic diversity reflected in the epigenomes of human mature blood cells. We also describe the DNA methylation dynamics in the process of immune memory formation in T helper cells. Moreover, we portrayed epigenetic fingerprints of defined progenitor cell types and derived computational models that were capable of accurately inferring cell identity. We used these models in order to characterize heterogeneity in progenitor cell populations, to identify DNA methylation signatures of hematopoietic differentiation and to infer the epigenomic similarities of blood cell types. Finally, by interpreting DNA methylation patterns in leukemia and derived pluripotent cells, we started to discern how epigenomic patterns are altered in disease and explored how reprogramming of these patterns could potentially be used to restore a non-malignant state. In summary, this work showcases novel methods and computational tools for the identification and interpretation of epigenetic signatures of cell identity. It provides a detailed view on the epigenomic landscape spanned by DNA methylation patterns in hematopoietic cells that enhances our understanding of epigenetic regulation in cell differentiation and disease. %U http://scidok.sulb.uni-saarland.de/volltexte/2017/6943/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
176. Müller H, Jimenez-Heredia R, Krolo A, Hirschmugl T, Dmytrus J, Boztug K, Bock C: VCF.Filter: Interactive Prioritization of Disease-linked Genetic Variants from Sequencing Data. Nucleic Acids Research 2017, 45.
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@article{BockVCF2017, TITLE = {{VCF}.{Filter}: {I}nteractive Prioritization of Disease-linked Genetic Variants from Sequencing Data}, AUTHOR = {M{\"u}ller, Heiko and Jimenez-Heredia, Raul and Krolo, Ana and Hirschmugl, Tatjana and Dmytrus, Jasmin and Boztug, Kaan and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkx425}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nucleic Acids Research}, VOLUME = {45}, NUMBER = {W1}, PAGES = {W567--W572}, }
Endnote
%0 Journal Article %A M&#252;ller, Heiko %A Jimenez-Heredia, Raul %A Krolo, Ana %A Hirschmugl, Tatjana %A Dmytrus, Jasmin %A Boztug, Kaan %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T VCF.Filter: Interactive Prioritization of Disease-linked Genetic Variants from Sequencing Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-C37D-1 %R 10.1093/nar/gkx425 %2 PMC5570181 %7 2017 %D 2017 %J Nucleic Acids Research %O Nucleic Acids Res %V 45 %N W1 %& W567 %P W567 - W572 %I Oxford University Press %C Oxford %@ false
177. Neogi U, Siddik AB, Kalaghatgi P, Gisslén M, Bratt G, Marrone G, Sönnerborg A: Recent Increased Identification and Transmission of HIV-1 unique Recombinant Forms in Sweden. Scientific Reports 2017, 7.
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@article{Neogi2017, TITLE = {Recent Increased Identification and Transmission of {HIV}-1 unique Recombinant Forms in {Sweden}}, AUTHOR = {Neogi, Ujjwal and Siddik, Abu Bakar and Kalaghatgi, Prabhav and Gissl{\'e}n, Magnus and Bratt, G{\"o}ran and Marrone, Gaetano and S{\"o}nnerborg, Anders}, LANGUAGE = {eng}, ISSN = {2045-2322}, DOI = {10.1038/s41598-017-06860-2}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2017}, JOURNAL = {Scientific Reports}, VOLUME = {7}, EID = {6371}, }
Endnote
%0 Journal Article %A Neogi, Ujjwal %A Siddik, Abu Bakar %A Kalaghatgi, Prabhav %A Gissl&#233;n, Magnus %A Bratt, G&#246;ran %A Marrone, Gaetano %A S&#246;nnerborg, Anders %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Recent Increased Identification and Transmission of HIV-1 unique Recombinant Forms in Sweden : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-BC30-F %2 PMC5527090 %R 10.1038/s41598-017-06860-2 %7 2017 %D 2017 %J Scientific Reports %O Sci. Rep. %V 7 %Z sequence number: 6371 %I Nature Publishing Group %C London, UK %@ false
178. Nikumbh S, Ebert P, Pfeifer N: All Fingers Are Not the Same: Handling Variable-Length Sequences in a Discriminative Setting Using Conformal Multi-Instance Kernels. In 17th International Workshop on Algorithms in Bioinformatics (WABI 2017). Schloss Dagstuhl; 2017. [Leibniz International Proceedings in Informatics, vol. 88]
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@inproceedings{nikumbh_et_al:LIPIcs:2017:7645, TITLE = {All Fingers Are Not the Same: {H}andling Variable-Length Sequences in a Discriminative Setting Using Conformal Multi-Instance Kernels}, AUTHOR = {Nikumbh, Sarvesh and Ebert, Peter and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1868-8969}, ISBN = {978-3-95977-050-7}, DOI = {10.4230/LIPIcs.WABI.2017.16}, PUBLISHER = {Schloss Dagstuhl}, YEAR = {2017}, BOOKTITLE = {17th International Workshop on Algorithms in Bioinformatics (WABI 2017)}, EDITOR = {Schwartz, Russell and Reinert, Knut}, PAGES = {1--14}, EID = {16}, SERIES = {Leibniz International Proceedings in Informatics}, VOLUME = {88}, ADDRESS = {Boston, MA, USA}, }
Endnote
%0 Conference Proceedings %A Nikumbh, Sarvesh %A Ebert, Peter %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T All Fingers Are Not the Same: Handling Variable-Length Sequences in a Discriminative Setting Using Conformal Multi-Instance Kernels : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-BC17-7 %R 10.4230/LIPIcs.WABI.2017.16 %D 2017 %B 17th International Workshop on Algorithms in Bioinformatics %Z date of event: 2017-08-21 - 2017-08-23 %C Boston, MA, USA %B 17th International Workshop on Algorithms in Bioinformatics %E Schwartz, Russell; Reinert, Knut %P 1 - 14 %Z sequence number: 16 %I Schloss Dagstuhl %@ 978-3-95977-050-7 %B Leibniz International Proceedings in Informatics %N 88 %@ false %U http://drops.dagstuhl.de/opus/volltexte/2017/7645/http://drops.dagstuhl.de/doku/urheberrecht1.html
179. Nikumbh S, Pfeifer N: Genetic Sequence-based Prediction of Long-range Chromatin Interactions Suggests a Potential Role of Short Tandem Repeat Sequences in Genome Organization. BMC Bioinformatics 2017, 18.
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@article{Nikumbh2017, TITLE = {Genetic Sequence-based Prediction of Long-range Chromatin Interactions Suggests a Potential Role of Short Tandem Repeat Sequences in Genome Organization}, AUTHOR = {Nikumbh, Sarvesh and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/s12859-017-1624-x}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2017}, JOURNAL = {BMC Bioinformatics}, VOLUME = {18}, PAGES = {1--16}, EID = {218}, }
Endnote
%0 Journal Article %A Nikumbh, Sarvesh %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genetic Sequence-based Prediction of Long-range Chromatin Interactions Suggests a Potential Role of Short Tandem Repeat Sequences in Genome Organization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-26AD-4 %R 10.1186/s12859-017-1624-x %7 2017-04-18 %D 2017 %8 18.04.2017 %J BMC Bioinformatics %V 18 %& 1 %P 1 - 16 %Z sequence number: 218 %I BioMed Central %C London %@ false
180. Pironti A, Walter H, Pfeifer N, Knops E, Lübke N, Büch J, Di Giambenedetto S, Kaiser R, Lengauer T: Determination of Phenotypic Resistance Cutoffs from Routine Clinical Data. Journal of Acquired Immune Deficiency Syndromes 2017, 74.
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@article{Pironti_Pfeifer_Lengauer2017, TITLE = {Determination of Phenotypic Resistance Cutoffs from Routine Clinical Data}, AUTHOR = {Pironti, Alejandro and Walter, Hauke and Pfeifer, Nico and Knops, Elena and L{\"u}bke, Nadine and B{\"u}ch, Joachim and Di Giambenedetto, Simona and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, DOI = {10.1097/QAI.0000000000001198}, PUBLISHER = {Lippincott Williams \& Wilkins}, ADDRESS = {Philadelphia, PA}, YEAR = {2017}, JOURNAL = {Journal of Acquired Immune Deficiency Syndromes}, VOLUME = {74}, NUMBER = {5}, PAGES = {e129--e137}, }
Endnote
%0 Journal Article %A Pironti, Alejandro %A Walter, Hauke %A Pfeifer, Nico %A Knops, Elena %A L&#252;bke, Nadine %A B&#252;ch, Joachim %A Di Giambenedetto, Simona %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Determination of Phenotypic Resistance Cutoffs from Routine Clinical Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-3F1D-D %R 10.1097/QAI.0000000000001198 %7 2017 %D 2017 %J Journal of Acquired Immune Deficiency Syndromes %O JAIDS %V 74 %N 5 %& e129 %P e129 - e137 %I Lippincott Williams & Wilkins %C Philadelphia, PA
181. Pironti A, Pfeifer N, Walter H, Jensen B-EO, Zazzi M, Gomes P, Kaiser R, Lengauer T: Using Drug Exposure for Predicting Drug Resistance – A data-driven Genotypic Interpretation Tool. PLoS One 2017, 12.
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@article{Pironti_Pfeifer_Lengauer_2017, TITLE = {Using Drug Exposure for Predicting Drug Resistance -- A data-driven Genotypic Interpretation Tool}, AUTHOR = {Pironti, Alejandro and Pfeifer, Nico and Walter, Hauke and Jensen, Bj{\"o}rn-Erik O. and Zazzi, Maurizio and Gomes, Perp{\'e}tua and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0174992}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2017}, JOURNAL = {PLoS One}, VOLUME = {12}, NUMBER = {4}, EID = {e0174992}, }
Endnote
%0 Journal Article %A Pironti, Alejandro %A Pfeifer, Nico %A Walter, Hauke %A Jensen, Bj&#246;rn-Erik O. %A Zazzi, Maurizio %A Gomes, Perp&#233;tua %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Using Drug Exposure for Predicting Drug Resistance &#8211; A data-driven Genotypic Interpretation Tool : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-48E5-0 %R 10.1371/journal.pone.0174992 %2 PMC5386274 %7 2017-04-10 %D 2017 %8 10.04.2017 %J PLoS One %V 12 %N 4 %Z sequence number: e0174992 %I Public Library of Science %C San Francisco, CA %@ false
182. Porubsky D, Garg S, Sanders AD, Korbel JO, Guryev V, Lansdorp PM, Marschall T: Dense and Accurate Whole-chromosome Haplotyping of Individual Genomes. Nature Communications 2017, 8.
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@article{Porubsky2017, TITLE = {Dense and Accurate Whole-chromosome Haplotyping of Individual Genomes}, AUTHOR = {Porubsky, David and Garg, Shilpa and Sanders, Ashley D. and Korbel, Jan O. and Guryev, Victor and Lansdorp, Peter M. and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-017-01389-4}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2017}, JOURNAL = {Nature Communications}, VOLUME = {8}, EID = {1293}, }
Endnote
%0 Journal Article %A Porubsky, David %A Garg, Shilpa %A Sanders, Ashley D. %A Korbel, Jan O. %A Guryev, Victor %A Lansdorp, Peter M. %A Marschall, Tobias %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Dense and Accurate Whole-chromosome Haplotyping of Individual Genomes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002E-3109-E %R 10.1038/s41467-017-01389-4 %2 PMC5670131 %7 2017 %D 2017 %J Nature Communications %O Nat. Commun. %V 8 %Z sequence number: 1293 %I Nature Publishing Group %C London %@ false
183. Schmidt F, Gasparoni N, Gasparoni G, Gianmoena K, Cadenas C, Polansky JK, Ebert P, Nordström K, Barann M, Sinha A, Fröhler S, Xiong J, Dheghani Amirabad A, Behjati Ardakani F, Hutter B, Zipprich G, Felder B, Eils J, Brors B, Chen W, Hengstler JG, Hamann A, Lengauer T, Rosenstiel P, Walter J, Schulz MH: Combining Transcription Factor Binding Affinities with Open-Chromatin Data for Accurate Gene Expression Prediction. Nucleic Acids Research 2017, 45.
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@article{pmid27899623, TITLE = {Combining Transcription Factor Binding Affinities with Open-Chromatin Data for Accurate Gene Expression Prediction}, AUTHOR = {Schmidt, Florian and Gasparoni, Nina and Gasparoni, Gilles and Gianmoena, Kathrin and Cadenas, Cristina and Polansky, Julia K. and Ebert, Peter and Nordstr{\"o}m, Karl and Barann, Matthias and Sinha, Anupam and Fr{\"o}hler, Sebastian and Xiong, Jieyi and Dheghani Amirabad, Azim and Behjati Ardakani, Fatemeh and Hutter, Barbara and Zipprich, Gideon and Felder, B{\"a}rbel and Eils, J{\"u}rgen and Brors, Benedikt and Chen, Wei and Hengstler, Jan G. and Hamann, Alf and Lengauer, Thomas and Rosenstiel, Philip and Walter, J{\"o}rn and Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkw1061}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nucleic Acids Research}, VOLUME = {45}, NUMBER = {1}, PAGES = {54--66}, }
Endnote
%0 Journal Article %A Schmidt, Florian %A Gasparoni, Nina %A Gasparoni, Gilles %A Gianmoena, Kathrin %A Cadenas, Cristina %A Polansky, Julia K. %A Ebert, Peter %A Nordstr&#246;m, Karl %A Barann, Matthias %A Sinha, Anupam %A Fr&#246;hler, Sebastian %A Xiong, Jieyi %A Dheghani Amirabad, Azim %A Behjati Ardakani, Fatemeh %A Hutter, Barbara %A Zipprich, Gideon %A Felder, B&#228;rbel %A Eils, J&#252;rgen %A Brors, Benedikt %A Chen, Wei %A Hengstler, Jan G. %A Hamann, Alf %A Lengauer, Thomas %A Rosenstiel, Philip %A Walter, J&#246;rn %A Schulz, Marcel H. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Combining Transcription Factor Binding Affinities with Open-Chromatin Data for Accurate Gene Expression Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-378F-F %R 10.1093/nar/gkw1061 %7 2016 %D 2017 %J Nucleic Acids Research %O Nucleic Acids Res %V 45 %N 1 %& 54 %P 54 - 66 %I Oxford University Press %C Oxford %@ false
184. Schultheiss CS, Laggai S, Czepukojc B, Hussein UK, List M, Barghash A, Tierling S, Hosseini K, Golob-Schwarzl N, Pokorny J, Hachenthal N, Schulz MH, Helms V, Walter J, Zimmer V, Lammert F, Bohle RM, Dandolo L, Haybaeck J, Kiemer AK, Kessler SM: The Long Non-coding RNA H19 Suppresses Carcinogenesis and Chemoresistance in Hepatocellular Carcinoma. Cell Stress 2017, 1.
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@article{Schultheiss2019, TITLE = {The long non-coding {RNA} {H19} suppresses carcinogenesis and chemoresistance in hepatocellular carcinoma}, AUTHOR = {Schultheiss, Christina S. and Laggai, Stephan and Czepukojc, Beate and Hussein, Usama K. and List, Markus and Barghash, Ahmad and Tierling, Sascha and Hosseini, Kevan and Golob-Schwarzl, Nicole and Pokorny, Juliane and Hachenthal, Nina and Schulz, Marcel Holger and Helms, Volkhard and Walter, J{\"o}rn and Zimmer, Vincent and Lammert, Frank and Bohle, Rainer M. and Dandolo, Luisa and Haybaeck, Johannes and Kiemer, Alexandra K. and Kessler, Sonja M.}, LANGUAGE = {eng}, ISSN = {2523-0204}, DOI = {10.15698/cst2017.10.105}, PUBLISHER = {Shared Science Publishers}, ADDRESS = {Graz}, YEAR = {2017}, JOURNAL = {Cell Stress}, VOLUME = {1}, NUMBER = {1}, PAGES = {37--54}, }
Endnote
%0 Journal Article %A Schultheiss, Christina S. %A Laggai, Stephan %A Czepukojc, Beate %A Hussein, Usama K. %A List, Markus %A Barghash, Ahmad %A Tierling, Sascha %A Hosseini, Kevan %A Golob-Schwarzl, Nicole %A Pokorny, Juliane %A Hachenthal, Nina %A Schulz, Marcel Holger %A Helms, Volkhard %A Walter, J&#246;rn %A Zimmer, Vincent %A Lammert, Frank %A Bohle, Rainer M. %A Dandolo, Luisa %A Haybaeck, Johannes %A Kiemer, Alexandra K. %A Kessler, Sonja M. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T The Long Non-coding RNA H19 Suppresses Carcinogenesis and Chemoresistance in Hepatocellular Carcinoma : %G eng %U http://hdl.handle.net/21.11116/0000-0003-EBF6-F %R 10.15698/cst2017.10.105 %2 PMC6551655 %7 2017 %D 2017 %J Cell Stress %V 1 %N 1 %& 37 %P 37 - 54 %I Shared Science Publishers %C Graz %@ false
185. Sheffield NC, Pierron G, Klughammer J, Datlinger P, Schönegger A, Schuster M, Hadler J, Surdez D, Guillemot D, Lapouble E, Freneaux P, Champigneulle J, Bouvier R, Walder D, Ambros IM, Hutter C, Sorz E, Amaral AT, de Álava E, Schallmoser K, Strunk D, Rinner B, Liegl-Atzwanger B, Huppertz B, Leithner A, de Pinieux G, Terrier P, Laurence V, Michon J, Ladenstein R, et al.: DNA Methylation Heterogeneity Defines a Disease Spectrum in Ewing Sarcoma. Nature Medicine 2017, 23.
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@article{Sheffield2017, TITLE = {{DNA} methylation heterogeneity defines a disease spectrum in {Ewing} sarcoma}, AUTHOR = {Sheffield, Nathan C. and Pierron, Gaelle and Klughammer, Johanna and Datlinger, Paul and Sch{\"o}negger, Andreas and Schuster, Michael and Hadler, Johanna and Surdez, Didier and Guillemot, Delphine and Lapouble, Eve and Freneaux, Paul and Champigneulle, Jacqueline and Bouvier, Raymonde and Walder, Diana and Ambros, Ingeborg M. and Hutter, Caroline and Sorz, Eva and Amaral, Ana T. and de {\'A}lava, Enrique and Schallmoser, Katharina and Strunk, Dirk and Rinner, Beate and Liegl-Atzwanger, Bernadette and Huppertz, Berthold and Leithner, Andreas and de Pinieux, Gonzague and Terrier, Philippe and Laurence, Val{\'e}rie and Michon, Jean and Ladenstein, Ruth and Holter, Wolfgang and Windhager, Reinhard and Dirksen, Uta and Ambros, Peter F. and Delattre, Olivier and Kovar, Heinrich and Bock, Christoph and Tomazou, Eleni M.}, LANGUAGE = {eng}, ISSN = {1078-8956}, DOI = {10.1038/nm.4273}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {New York, NY}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Nature Medicine}, VOLUME = {23}, NUMBER = {3}, PAGES = {386--395}, }
Endnote
%0 Journal Article %A Sheffield, Nathan C. %A Pierron, Gaelle %A Klughammer, Johanna %A Datlinger, Paul %A Sch&#246;negger, Andreas %A Schuster, Michael %A Hadler, Johanna %A Surdez, Didier %A Guillemot, Delphine %A Lapouble, Eve %A Freneaux, Paul %A Champigneulle, Jacqueline %A Bouvier, Raymonde %A Walder, Diana %A Ambros, Ingeborg M. %A Hutter, Caroline %A Sorz, Eva %A Amaral, Ana T. %A de &#193;lava, Enrique %A Schallmoser, Katharina %A Strunk, Dirk %A Rinner, Beate %A Liegl-Atzwanger, Bernadette %A Huppertz, Berthold %A Leithner, Andreas %A de Pinieux, Gonzague %A Terrier, Philippe %A Laurence, Val&#233;rie %A Michon, Jean %A Ladenstein, Ruth %A Holter, Wolfgang %A Windhager, Reinhard %A Dirksen, Uta %A Ambros, Peter F. %A Delattre, Olivier %A Kovar, Heinrich %A Bock, Christoph %A Tomazou, Eleni M. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T DNA Methylation Heterogeneity Defines a Disease Spectrum in Ewing Sarcoma : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-CBE6-E %R 10.1038/nm.4273 %7 2017-01-30 %D 2017 %J Nature Medicine %O Nat. Med. %V 23 %N 3 %& 386 %P 386 - 395 %I Nature Publishing Group %C New York, NY %@ false
186. Siu A: Knowledge-driven Entity Recognition and Disambiguation in Biomedical Text. Universität des Saarlandes; 2017.
Abstract
Entity recognition and disambiguation (ERD) for the biomedical domain are notoriously difficult problems due to the variety of entities and their often long names in many variations. Existing works focus heavily on the molecular level in two ways. First, they target scientific literature as the input text genre. Second, they target single, highly specialized entity types such as chemicals, genes, and proteins. However, a wealth of biomedical information is also buried in the vast universe of Web content. In order to fully utilize all the information available, there is a need to tap into Web content as an additional input. Moreover, there is a need to cater for other entity types such as symptoms and risk factors since Web content focuses on consumer health. The goal of this thesis is to investigate ERD methods that are applicable to all entity types in scientific literature as well as Web content. In addition, we focus on under-explored aspects of the biomedical ERD problems -- scalability, long noun phrases, and out-of-knowledge base (OOKB) entities. This thesis makes four main contributions, all of which leverage knowledge in UMLS (Unified Medical Language System), the largest and most authoritative knowledge base (KB) of the biomedical domain. The first contribution is a fast dictionary lookup method for entity recognition that maximizes throughput while balancing the loss of precision and recall. The second contribution is a semantic type classification method targeting common words in long noun phrases. We develop a custom set of semantic types to capture word usages; besides biomedical usage, these types also cope with non-biomedical usage and the case of generic, non-informative usage. The third contribution is a fast heuristics method for entity disambiguation in MEDLINE abstracts, again maximizing throughput but this time maintaining accuracy. The fourth contribution is a corpus-driven entity disambiguation method that addresses OOKB entities. The method first captures the entities expressed in a corpus as latent representations that comprise in-KB and OOKB entities alike before performing entity disambiguation.
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@phdthesis{siuphd17, TITLE = {Knowledge-driven Entity Recognition and Disambiguation in Biomedical Text}, AUTHOR = {Siu, Amy}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-69580}, DOI = {10.22028/D291-26790}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2017}, DATE = {2017}, ABSTRACT = {Entity recognition and disambiguation (ERD) for the biomedical domain are notoriously difficult problems due to the variety of entities and their often long names in many variations. Existing works focus heavily on the molecular level in two ways. First, they target scientific literature as the input text genre. Second, they target single, highly specialized entity types such as chemicals, genes, and proteins. However, a wealth of biomedical information is also buried in the vast universe of Web content. In order to fully utilize all the information available, there is a need to tap into Web content as an additional input. Moreover, there is a need to cater for other entity types such as symptoms and risk factors since Web content focuses on consumer health. The goal of this thesis is to investigate ERD methods that are applicable to all entity types in scientific literature as well as Web content. In addition, we focus on under-explored aspects of the biomedical ERD problems -- scalability, long noun phrases, and out-of-knowledge base (OOKB) entities. This thesis makes four main contributions, all of which leverage knowledge in UMLS (Unified Medical Language System), the largest and most authoritative knowledge base (KB) of the biomedical domain. The first contribution is a fast dictionary lookup method for entity recognition that maximizes throughput while balancing the loss of precision and recall. The second contribution is a semantic type classification method targeting common words in long noun phrases. We develop a custom set of semantic types to capture word usages; besides biomedical usage, these types also cope with non-biomedical usage and the case of generic, non-informative usage. The third contribution is a fast heuristics method for entity disambiguation in MEDLINE abstracts, again maximizing throughput but this time maintaining accuracy. The fourth contribution is a corpus-driven entity disambiguation method that addresses OOKB entities. The method first captures the entities expressed in a corpus as latent representations that comprise in-KB and OOKB entities alike before performing entity disambiguation.}, }
Endnote
%0 Thesis %A Siu, Amy %Y Weikum, Gerhard %A referee: Berberich, Klaus %A referee: Leser, Ulf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society External Organizations %T Knowledge-driven Entity Recognition and Disambiguation in Biomedical Text : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-DD18-E %R 10.22028/D291-26790 %U urn:nbn:de:bsz:291-scidok-69580 %F OTHER: hdl:20.500.11880/26803 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2017 %P 169 p. %V phd %9 phd %X Entity recognition and disambiguation (ERD) for the biomedical domain are notoriously difficult problems due to the variety of entities and their often long names in many variations. Existing works focus heavily on the molecular level in two ways. First, they target scientific literature as the input text genre. Second, they target single, highly specialized entity types such as chemicals, genes, and proteins. However, a wealth of biomedical information is also buried in the vast universe of Web content. In order to fully utilize all the information available, there is a need to tap into Web content as an additional input. Moreover, there is a need to cater for other entity types such as symptoms and risk factors since Web content focuses on consumer health. The goal of this thesis is to investigate ERD methods that are applicable to all entity types in scientific literature as well as Web content. In addition, we focus on under-explored aspects of the biomedical ERD problems -- scalability, long noun phrases, and out-of-knowledge base (OOKB) entities. This thesis makes four main contributions, all of which leverage knowledge in UMLS (Unified Medical Language System), the largest and most authoritative knowledge base (KB) of the biomedical domain. The first contribution is a fast dictionary lookup method for entity recognition that maximizes throughput while balancing the loss of precision and recall. The second contribution is a semantic type classification method targeting common words in long noun phrases. We develop a custom set of semantic types to capture word usages; besides biomedical usage, these types also cope with non-biomedical usage and the case of generic, non-informative usage. The third contribution is a fast heuristics method for entity disambiguation in MEDLINE abstracts, again maximizing throughput but this time maintaining accuracy. The fourth contribution is a corpus-driven entity disambiguation method that addresses OOKB entities. The method first captures the entities expressed in a corpus as latent representations that comprise in-KB and OOKB entities alike before performing entity disambiguation. %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/26803
187. Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples [http://arxiv.org/abs/1701.00422]
(arXiv: 1701.00422)
Abstract
Personalized treatment of patients based on tissue-specific cancer subtypes has strongly increased the efficacy of the chosen therapies. Even though the amount of data measured for cancer patients has increased over the last years, most cancer subtypes are still diagnosed based on individual data sources (e.g. gene expression data). We propose an unsupervised data integration method based on kernel principal component analysis. Principal component analysis is one of the most widely used techniques in data analysis. Unfortunately, the straight-forward multiple-kernel extension of this method leads to the use of only one of the input matrices, which does not fit the goal of gaining information from all data sources. Therefore, we present a scoring function to determine the impact of each input matrix. The approach enables visualizing the integrated data and subsequent clustering for cancer subtype identification. Due to the nature of the method, no free parameters have to be set. We apply the methodology to five different cancer data sets and demonstrate its advantages in terms of results and usability.
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@online{SpeicherarXiv2017, TITLE = {Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples}, AUTHOR = {Speicher, Nora K. and Pfeifer, Nico}, LANGUAGE = {eng}, URL = {http://arxiv.org/abs/1701.00422}, EPRINT = {1701.00422}, EPRINTTYPE = {arXiv}, YEAR = {2017}, ABSTRACT = {Personalized treatment of patients based on tissue-specific cancer subtypes has strongly increased the efficacy of the chosen therapies. Even though the amount of data measured for cancer patients has increased over the last years, most cancer subtypes are still diagnosed based on individual data sources (e.g. gene expression data). We propose an unsupervised data integration method based on kernel principal component analysis. Principal component analysis is one of the most widely used techniques in data analysis. Unfortunately, the straight-forward multiple-kernel extension of this method leads to the use of only one of the input matrices, which does not fit the goal of gaining information from all data sources. Therefore, we present a scoring function to determine the impact of each input matrix. The approach enables visualizing the integrated data and subsequent clustering for cancer subtype identification. Due to the nature of the method, no free parameters have to be set. We apply the methodology to five different cancer data sets and demonstrate its advantages in terms of results and usability.}, }
Endnote
%0 Report %A Speicher, Nora K. %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4D68-3 %U http://arxiv.org/abs/1701.00422 %D 2017 %X Personalized treatment of patients based on tissue-specific cancer subtypes has strongly increased the efficacy of the chosen therapies. Even though the amount of data measured for cancer patients has increased over the last years, most cancer subtypes are still diagnosed based on individual data sources (e.g. gene expression data). We propose an unsupervised data integration method based on kernel principal component analysis. Principal component analysis is one of the most widely used techniques in data analysis. Unfortunately, the straight-forward multiple-kernel extension of this method leads to the use of only one of the input matrices, which does not fit the goal of gaining information from all data sources. Therefore, we present a scoring function to determine the impact of each input matrix. The approach enables visualizing the integrated data and subsequent clustering for cancer subtype identification. Due to the nature of the method, no free parameters have to be set. We apply the methodology to five different cancer data sets and demonstrate its advantages in terms of results and usability. %K Statistics, Machine Learning, stat.ML
188. Speicher NK, Pfeifer N: Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples. Journal of Integrative Bioinformatics 2017, 14.
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@article{Speicher2017, TITLE = {Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples}, AUTHOR = {Speicher, Nora K. and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1613-4516}, DOI = {10.1515/jib-2017-0019}, PUBLISHER = {Walter de Gruyter GmbH}, ADDRESS = {Berlin}, YEAR = {2017}, JOURNAL = {Journal of Integrative Bioinformatics}, VOLUME = {14}, NUMBER = {2}, EID = {20170019}, }
Endnote
%0 Journal Article %A Speicher, Nora K. %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples : %G eng %U http://hdl.handle.net/21.11116/0000-0002-F720-3 %R 10.1515/jib-2017-0019 %2 PMC6042822 %7 2017 %D 2017 %J Journal of Integrative Bioinformatics %V 14 %N 2 %Z sequence number: 20170019 %I Walter de Gruyter GmbH %C Berlin %@ false
189. Stancu MC, van Roosmalen MJ, Renkens I, Nieboer MM, Middelkamp S, de Ligt J, Pregno G, Giachino D, Mandrile G, Valle-Inclan JE, Korzelius J, de Bruijn E, Cuppen E, Talkowski ME, Marschall T, de Ridder J, Kloosterman WP: Mapping and Phasing of Structural Variation in Patient Genomes Using Nanopore Sequencing. Nature Communications 2017, 8.
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@article{Stancu2017, TITLE = {Mapping and Phasing of Structural Variation in Patient Genomes Using Nanopore Sequencing}, AUTHOR = {Stancu, Mircea Cretu and van Roosmalen, Markus J. and Renkens, Ivo and Nieboer, Marleen M. and Middelkamp, Sjors and de Ligt, Joep and Pregno, Giulia and Giachino, Daniela and Mandrile, Giorgia and Valle-Inclan, Jose Espejo and Korzelius, Jerome and de Bruijn, Ewart and Cuppen, Edwin and Talkowski, Michael E. and Marschall, Tobias and de Ridder, Jeroen and Kloosterman, Wigard P.}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/s41467-017-01343-4}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2017}, JOURNAL = {Nature Communications}, VOLUME = {8}, EID = {1326}, }
Endnote
%0 Journal Article %A Stancu, Mircea Cretu %A van Roosmalen, Markus J. %A Renkens, Ivo %A Nieboer, Marleen M. %A Middelkamp, Sjors %A de Ligt, Joep %A Pregno, Giulia %A Giachino, Daniela %A Mandrile, Giorgia %A Valle-Inclan, Jose Espejo %A Korzelius, Jerome %A de Bruijn, Ewart %A Cuppen, Edwin %A Talkowski, Michael E. %A Marschall, Tobias %A de Ridder, Jeroen %A Kloosterman, Wigard P. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Mapping and Phasing of Structural Variation in Patient Genomes Using Nanopore Sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002E-55B2-A %R 10.1038/s41467-017-01343-4 %7 2017 %D 2017 %J Nature Communications %O Nat. Commun. %V 8 %Z sequence number: 1326 %I Nature Publishing Group %C London %@ false
190. Sun P: Bi-(N-) cluster editing and its biomedical applications. Universität des Saarlandes; 2017.
Abstract
he extremely fast advances in wet-lab techniques lead to an exponential growth of heterogeneous and unstructured biological data, posing a great challenge to data integration in nowadays system biology. The traditional clustering approach, although widely used to divide the data into groups sharing common features, is less powerful in the analysis of heterogeneous data from n different sources (n _ 2). The co-clustering approach has been widely used for combined analyses of multiple networks to address the challenge of heterogeneity. In this thesis, novel methods for the co-clustering of large scale heterogeneous data sets are presented in the software package n-CluE: one exact algorithm and two heuristic algorithms based on the model of bi-/n-cluster editing by modeling the input as n-partite graphs and solving the clustering problem with various strategies. In the first part of the thesis, the complexity and the fixed-parameter tractability of the extended bicluster editing model with relaxed constraints are investigated, namely the ?-bicluster editing model and its NP-hardness is proven. Based on the results of this analysis, three strategies within the n-CluE software package are then established and discussed, together with the evaluations on performances and the systematic comparisons against other algorithms of the same type in solving bi-/n-cluster editing problem. To demonstrate the practical impact, three real-world analyses using n-CluE are performed, including (a) prediction of novel genotype-phenotype associations by clustering the data from Genome-Wide Association Studies; (b) comparison between n-CluE and eight other biclustering tools on GEO Omnibus microarray data sets; (c) drug repositioning predictions by co-clustering on drug, gene and disease networks. The outstanding performance of n-CluE in the real-world applications shows its strength and flexibility in integrating heterogeneous data and extracting biological relevant information in bioinformatic analyses.
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@phdthesis{Sunphd17, TITLE = {Bi-(N-) cluster editing and its biomedical applications}, AUTHOR = {Sun, Peng}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-69309}, DOI = {10.22028/D291-26781}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2017}, DATE = {2017}, ABSTRACT = {he extremely fast advances in wet-lab techniques lead to an exponential growth of heterogeneous and unstructured biological data, posing a great challenge to data integration in nowadays system biology. The traditional clustering approach, although widely used to divide the data into groups sharing common features, is less powerful in the analysis of heterogeneous data from n different sources (n _ 2). The co-clustering approach has been widely used for combined analyses of multiple networks to address the challenge of heterogeneity. In this thesis, novel methods for the co-clustering of large scale heterogeneous data sets are presented in the software package n-CluE: one exact algorithm and two heuristic algorithms based on the model of bi-/n-cluster editing by modeling the input as n-partite graphs and solving the clustering problem with various strategies. In the first part of the thesis, the complexity and the fixed-parameter tractability of the extended bicluster editing model with relaxed constraints are investigated, namely the ?-bicluster editing model and its NP-hardness is proven. Based on the results of this analysis, three strategies within the n-CluE software package are then established and discussed, together with the evaluations on performances and the systematic comparisons against other algorithms of the same type in solving bi-/n-cluster editing problem. To demonstrate the practical impact, three real-world analyses using n-CluE are performed, including (a) prediction of novel genotype-phenotype associations by clustering the data from Genome-Wide Association Studies; (b) comparison between n-CluE and eight other biclustering tools on GEO Omnibus microarray data sets; (c) drug repositioning predictions by co-clustering on drug, gene and disease networks. The outstanding performance of n-CluE in the real-world applications shows its strength and flexibility in integrating heterogeneous data and extracting biological relevant information in bioinformatic analyses.}, }
Endnote
%0 Thesis %A Sun, Peng %Y Baumbach, Jan %A referee: Guo, Jiong %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bi-(N-) cluster editing and its biomedical applications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-A65E-F %U urn:nbn:de:bsz:291-scidok-69309 %R 10.22028/D291-26781 %F OTHER: hdl:20.500.11880/26794 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2017 %P 192 p. %V phd %9 phd %X he extremely fast advances in wet-lab techniques lead to an exponential growth of heterogeneous and unstructured biological data, posing a great challenge to data integration in nowadays system biology. The traditional clustering approach, although widely used to divide the data into groups sharing common features, is less powerful in the analysis of heterogeneous data from n different sources (n _ 2). The co-clustering approach has been widely used for combined analyses of multiple networks to address the challenge of heterogeneity. In this thesis, novel methods for the co-clustering of large scale heterogeneous data sets are presented in the software package n-CluE: one exact algorithm and two heuristic algorithms based on the model of bi-/n-cluster editing by modeling the input as n-partite graphs and solving the clustering problem with various strategies. In the first part of the thesis, the complexity and the fixed-parameter tractability of the extended bicluster editing model with relaxed constraints are investigated, namely the ?-bicluster editing model and its NP-hardness is proven. Based on the results of this analysis, three strategies within the n-CluE software package are then established and discussed, together with the evaluations on performances and the systematic comparisons against other algorithms of the same type in solving bi-/n-cluster editing problem. To demonstrate the practical impact, three real-world analyses using n-CluE are performed, including (a) prediction of novel genotype-phenotype associations by clustering the data from Genome-Wide Association Studies; (b) comparison between n-CluE and eight other biclustering tools on GEO Omnibus microarray data sets; (c) drug repositioning predictions by co-clustering on drug, gene and disease networks. The outstanding performance of n-CluE in the real-world applications shows its strength and flexibility in integrating heterogeneous data and extracting biological relevant information in bioinformatic analyses. %U http://scidok.sulb.uni-saarland.de/volltexte/2017/6930/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
191. Sun P, Guo J, Winnenburg R, Baumbach J: Drug Repurposing by Integrated Literature Mining and Drug–Gene–Disease Triangulation. Drug Discovery Today 2017, 22.
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@article{Sun_Baumbach2017, TITLE = {Drug Repurposing by Integrated Literature Mining and Drug--Gene--Disease Triangulation}, AUTHOR = {Sun, Peng and Guo, Jiong and Winnenburg, Rainer and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1359-6446}, DOI = {10.1016/j.drudis.2016.10.008}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2017}, DATE = {2017}, JOURNAL = {Drug Discovery Today}, VOLUME = {22}, NUMBER = {4}, PAGES = {615--619}, }
Endnote
%0 Journal Article %A Sun, Peng %A Guo, Jiong %A Winnenburg, Rainer %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Drug Repurposing by Integrated Literature Mining and Drug&#8211;Gene&#8211;Disease Triangulation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002D-6E09-3 %R 10.1016/j.drudis.2016.10.008 %7 2016-10-22 %D 2017 %J Drug Discovery Today %V 22 %N 4 %& 615 %P 615 - 619 %I Elsevier %C Amsterdam %@ false
2016
192. Ahmad M, Helms V, Kalinina OV, Lengauer T: The Role of Conformational Changes in Molecular Recognition. The Journal of Physical Chemistry B 2016, 120.
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@article{AhmadJPhysChem2016, TITLE = {The Role of Conformational Changes in Molecular Recognition}, AUTHOR = {Ahmad, Mazen and Helms, Volkhard and Kalinina, Olga V. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1520-6106}, DOI = {10.1021/acs.jpcb.5b11593}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2016}, DATE = {2016}, JOURNAL = {The Journal of Physical Chemistry B}, VOLUME = {120}, NUMBER = {9}, PAGES = {2138--2144}, }
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%0 Journal Article %A Ahmad, Mazen %A Helms, Volkhard %A Kalinina, Olga V. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The Role of Conformational Changes in Molecular Recognition : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-2962-8 %R 10.1021/acs.jpcb.5b11593 %7 2016 %D 2016 %J The Journal of Physical Chemistry B %O J. Phys. Chem. B %V 120 %N 9 %& 2138 %P 2138 - 2144 %I American Chemical Society %C Washington, D.C. %@ false
193. Albrecht F, List M, Bock C, Lengauer T: DeepBlue Epigenomic Data Server: Programmatic Data Retrieval and Analysis of Epigenome Region Sets. Nucleic Acids Research 2016, 44(W1/Web Server issue).
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@article{Albrecht:List:Bock:Lengauer2016, TITLE = {{DeepBlue} Epigenomic Data Server: {P}rogrammatic Data Retrieval and Analysis of Epigenome Region Sets}, AUTHOR = {Albrecht, Felipe and List, Markus and Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkw211}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nucleic Acids Research}, VOLUME = {44}, NUMBER = {W1/Web Server issue}, PAGES = {W581--W586}, }
Endnote
%0 Journal Article %A Albrecht, Felipe %A List, Markus %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T DeepBlue Epigenomic Data Server: Programmatic Data Retrieval and Analysis of Epigenome Region Sets : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-42AD-0 %R 10.1093/nar/gkw211 %2 PMC4987868 %7 2016 %D 2016 %* Review method: peer-reviewed %J Nucleic Acids Research %O Nucleic Acids Res %V 44 %N W1/Web Server issue %& W581 %P W581 - W586 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/nar/gkw211
194. Alcaraz N, List M, Dissing-Hansen M, Rehmsmeier M, Tan Q, Mollenhauer J, Ditzel HJ, Baumbach J: Robust de novo pathway enrichment with KeyPathwayMiner 5. Faculty of 1000 Research 2016, 5.
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@article{ListF1000Research2016, TITLE = {Robust de novo pathway enrichment with {KeyPathwayMiner} 5}, AUTHOR = {Alcaraz, Nicolas and List, Markus and Dissing-Hansen, Martin and Rehmsmeier, Marc and Tan, Qihua and Mollenhauer, Jan and Ditzel, Henrik J. and Baumbach, Jan}, LANGUAGE = {eng}, DOI = {10.12688/f1000research.9054.1}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Faculty of 1000 Research}, VOLUME = {5}, EID = {1531}, }
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%0 Journal Article %A Alcaraz, Nicolas %A List, Markus %A Dissing-Hansen, Martin %A Rehmsmeier, Marc %A Tan, Qihua %A Mollenhauer, Jan %A Ditzel, Henrik J. %A Baumbach, Jan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Robust de novo pathway enrichment with KeyPathwayMiner 5 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-4656-5 %R 10.12688/f1000research.9054.1 %2 PMC4965696 %7 2016 %D 2016 %J Faculty of 1000 Research %O F1000Research %V 5 %Z sequence number: 1531 %I BioMed Central %C London %U http://f1000research.com/articles/5-1531/
195. Auffray C, Balling R, Barroso I, Bencze L, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Deyilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar H-J, Guo Y-K, Gut IG, Hanbury A, Hanif S, Hilgers R-D, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, et al.: Making Sense of Big Data in Health Research: Towards an EU Action Plan. Genome Medicine 2016, 8.
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@article{Auffray2016, TITLE = {Making sense of big data in health research: {T}owards an {EU} action plan}, AUTHOR = {Auffray, Charles and Balling, Rudi and Barroso, In{\^e}s and Bencze, L{\'a}szl{\'o} and Blomberg, Niklas and Bock, Christoph and Conesa, Anna and Del Signore, Susanna and Delogne, Christophe and Deyilee, Peter and Di Meglio, Alberto and Eijkemans, Marinus and Flicek, Paul and Graf, Norbert and Grimm, Vera and Guchelaar, Henk-Jan and Guo, Yi-Ke and Gut, Ivo Glynne and Hanbury, Allan and Hanif, Shahid and Hilgers, Ralf-Dieter and Honrado, {\'A}ngel and Hose, D. Rod and Houwing-Duistermaat, Jeanine and Hubbard, Tim and Janacek, Sophie Helen and Karanikas, Haralampos and Kievits, Tim and Kohler, Manfred and Kremer, Andreas and Lanfear, Jerry and Lengauer, Thomas and Maes, Edith and Meert, Theo and M{\"u}ller, Werner and Nickel, D{\"o}rthe and Oledzki, Peter and Pedersen, Bertrand and Petkovic, Milan and Pliakos, Konstantinos and Rattray, Magnus and Red{\'o}n i M{\`a}s, Josep and Schneider, Reinhard and Sengstag, Thierry and Serra-Picamal, Xavier and Spek, Wouter and Vaas, Lea A. I. and van Batenburg, Okker and Vandelaer, Marc and Varnai, Peter and Villoslada, Pablo and Vizca{\'i}no, Juan Antonio and Wubbe, John Peter Mary and Zanetti, Gianluigi}, LANGUAGE = {eng}, DOI = {10.1186/s13073-016-0323-y}, PUBLISHER = {BioMedCentral}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Genome Medicine}, VOLUME = {8}, EID = {71}, }
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%0 Journal Article %A Auffray, Charles %A Balling, Rudi %A Barroso, In&#234;s %A Bencze, L&#225;szl&#243; %A Blomberg, Niklas %A Bock, Christoph %A Conesa, Anna %A Del Signore, Susanna %A Delogne, Christophe %A Deyilee, Peter %A Di Meglio, Alberto %A Eijkemans, Marinus %A Flicek, Paul %A Graf, Norbert %A Grimm, Vera %A Guchelaar, Henk-Jan %A Guo, Yi-Ke %A Gut, Ivo Glynne %A Hanbury, Allan %A Hanif, Shahid %A Hilgers, Ralf-Dieter %A Honrado, &#193;ngel %A Hose, D. Rod %A Houwing-Duistermaat, Jeanine %A Hubbard, Tim %A Janacek, Sophie Helen %A Karanikas, Haralampos %A Kievits, Tim %A Kohler, Manfred %A Kremer, Andreas %A Lanfear, Jerry %A Lengauer, Thomas %A Maes, Edith %A Meert, Theo %A M&#252;ller, Werner %A Nickel, D&#246;rthe %A Oledzki, Peter %A Pedersen, Bertrand %A Petkovic, Milan %A Pliakos, Konstantinos %A Rattray, Magnus %A Red&#243;n i M&#224;s, Josep %A Schneider, Reinhard %A Sengstag, Thierry %A Serra-Picamal, Xavier %A Spek, Wouter %A Vaas, Lea A. I. %A van Batenburg, Okker %A Vandelaer, Marc %A Varnai, Peter %A Villoslada, Pablo %A Vizca&#237;no, Juan Antonio %A Wubbe, John Peter Mary %A Zanetti, Gianluigi %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Making Sense of Big Data in Health Research: Towards an EU Action Plan : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-F908-8 %R 10.1186/s13073-016-0323-y %2 PMC4919856 %7 2016 %D 2016 %J Genome Medicine %V 8 %Z sequence number: 71 %I BioMedCentral %C London
196. Auffray C, Balling R, Barroso I, Bencze L, Blomberg N, Bock C, Conesa A, Del Signore S, Delogne C, Deyilee P, Di Meglio A, Eijkemans M, Flicek P, Graf N, Grimm V, Guchelaar H-J, Guo Y-K, Gut IG, Hanbury A, Hanif S, Hilgers R-D, Honrado Á, Hose DR, Houwing-Duistermaat J, Hubbard T, Janacek SH, Karanikas H, Kievits T, Kohler M, Kremer A, et al.: Erratum to: Making Sense of Big Data in Health Research: Towards an EU Action Plan. Genome Medicine 2016, 8.
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@article{Auffray2016Erratum, TITLE = {Erratum to: Making sense of big data in health research: {T}owards an {EU} action plan}, AUTHOR = {Auffray, Charles and Balling, Rudi and Barroso, In{\^e}s and Bencze, L{\'a}szl{\'o} and Blomberg, Niklas and Bock, Christoph and Conesa, Anna and Del Signore, Susanna and Delogne, Christophe and Deyilee, Peter and Di Meglio, Alberto and Eijkemans, Marinus and Flicek, Paul and Graf, Norbert and Grimm, Vera and Guchelaar, Henk-Jan and Guo, Yi-Ke and Gut, Ivo Glynne and Hanbury, Allan and Hanif, Shahid and Hilgers, Ralf-Dieter and Honrado, {\'A}ngel and Hose, D. Rod and Houwing-Duistermaat, Jeanine and Hubbard, Tim and Janacek, Sophie Helen and Karanikas, Haralampos and Kievits, Tim and Kohler, Manfred and Kremer, Andreas and Lanfear, Jerry and Lengauer, Thomas and Maes, Edith and Meert, Theo and M{\"u}ller, Werner and Nickel, D{\"o}rthe and Oledzki, Peter and Pedersen, Bertrand and Petkovic, Milan and Pliakos, Konstantinos and Rattray, Magnus and Red{\'o}n i M{\`a}s, Josep and Schneider, Reinhard and Sengstag, Thierry and Serra-Picamal, Xavier and Spek, Wouter and Vaas, Lea A. I. and van Batenburg, Okker and Vandelaer, Marc and Varnai, Peter and Villoslada, Pablo and Vizca{\'i}no, Juan Antonio and Wubbe, John Peter Mary and Zanetti, Gianluigi}, LANGUAGE = {eng}, DOI = {10.1186/s13073-016-0376-y}, PUBLISHER = {BioMedCentral}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Genome Medicine}, VOLUME = {8}, EID = {118}, }
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%0 Journal Article %A Auffray, Charles %A Balling, Rudi %A Barroso, In&#234;s %A Bencze, L&#225;szl&#243; %A Blomberg, Niklas %A Bock, Christoph %A Conesa, Anna %A Del Signore, Susanna %A Delogne, Christophe %A Deyilee, Peter %A Di Meglio, Alberto %A Eijkemans, Marinus %A Flicek, Paul %A Graf, Norbert %A Grimm, Vera %A Guchelaar, Henk-Jan %A Guo, Yi-Ke %A Gut, Ivo Glynne %A Hanbury, Allan %A Hanif, Shahid %A Hilgers, Ralf-Dieter %A Honrado, &#193;ngel %A Hose, D. Rod %A Houwing-Duistermaat, Jeanine %A Hubbard, Tim %A Janacek, Sophie Helen %A Karanikas, Haralampos %A Kievits, Tim %A Kohler, Manfred %A Kremer, Andreas %A Lanfear, Jerry %A Lengauer, Thomas %A Maes, Edith %A Meert, Theo %A M&#252;ller, Werner %A Nickel, D&#246;rthe %A Oledzki, Peter %A Pedersen, Bertrand %A Petkovic, Milan %A Pliakos, Konstantinos %A Rattray, Magnus %A Red&#243;n i M&#224;s, Josep %A Schneider, Reinhard %A Sengstag, Thierry %A Serra-Picamal, Xavier %A Spek, Wouter %A Vaas, Lea A. I. %A van Batenburg, Okker %A Vandelaer, Marc %A Varnai, Peter %A Villoslada, Pablo %A Vizca&#237;no, Juan Antonio %A Wubbe, John Peter Mary %A Zanetti, Gianluigi %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Erratum to: Making Sense of Big Data in Health Research: Towards an EU Action Plan : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-1D02-C %R 10.1186/s13073-016-0376-y %2 PMC5100330 %7 2016-11-07 %D 2016 %8 07.11.2016 %J Genome Medicine %V 8 %Z sequence number: 118 %I BioMedCentral %C London
197. Berger B, Gaasterland T, Lengauer T, Orengo C, Gaeta B, Markel S, Valencia A: ISCB’s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing. PLOS Computational Biology 2016, 12.
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@article{Berger2016, TITLE = {{ISCB}'s Initial Reaction to {The New England Journal of Medicine} Editorial on Data Sharing}, AUTHOR = {Berger, Bonnie and Gaasterland, Terry and Lengauer, Thomas and Orengo, Christine and Gaeta, Bruno and Markel, Scott and Valencia, Alfonso}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.1004816}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2016}, JOURNAL = {PLOS Computational Biology}, VOLUME = {12}, NUMBER = {3}, PAGES = {1--2}, EID = {e1004816}, }
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%0 Journal Article %A Berger, Bonnie %A Gaasterland, Terry %A Lengauer, Thomas %A Orengo, Christine %A Gaeta, Bruno %A Markel, Scott %A Valencia, Alfonso %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T ISCB&#8217;s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-FD6F-D %R 10.1371/journal.pcbi.1004816 %7 2016 %D 2016 %J PLOS Computational Biology %O PLOS Comput Biol %V 12 %N 3 %& 1 %P 1 - 2 %Z sequence number: e1004816 %I Public Library of Science %C San Francisco, CA %@ false %U https://doi.org/10.1371/journal.pcbi.1004816
198. Bock C, Halbritter F, Carmona FJ, Tierling S, Datlinger P, Assenov Y, Berdasco M, Bergmann AK, Booher K, Busato F, Campan M, Dahl C, Dahmcke CM, Diep D, Fernández AF, Gerhauser C, Haake A, Heilmann K, Holcomb T, Hussmann D, Ito M, Kläver R, Kreutz M, Kulis M, Lopez V, Nair SS, Paul DS, Plongthongkum N, Qu W, Queirós AC, et al.: Quantitative Comparison of DNA Methylation Assays for Biomarker Development and Clinical Applications. Nature Biotechnology 2016, 34.
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@article{BockNatureBiotechn2016, TITLE = {Quantitative comparison of {DNA} methylation assays for biomarker development and clinical applications}, AUTHOR = {Bock, Christoph and Halbritter, Florian and Carmona, Francisco J. and Tierling, Sascha and Datlinger, Paul and Assenov, Yassen and Berdasco, Maria and Bergmann, Anke K. and Booher, Keith and Busato, Florance and Campan, Mihaela and Dahl, Christina and Dahmcke, Christina M. and Diep, Dinh and Fern{\'a}ndez, Agust{\'i}n F. and Gerhauser, Clarissa and Haake, Andrea and Heilmann, Katharina and Holcomb, Thomas and Hussmann, Dianna and Ito, Mitsuteru and Kl{\"a}ver, Ruth and Kreutz, Martin and Kulis, Marta and Lopez, Virginia and Nair, Shalima S. and Paul, Dirk S. and Plongthongkum, Nongluk and Qu, Wenija and Queir{\'o}s, Ana C. and Reinicke, Frank and Sauter, Guido and Schlomm, Thorsten and Statham, Aaron and Stirzaker, Clare and Strogantsev, Ruslan and Urdinguio, Roc{\'i}o G. and Walter, Kimberly and Weichenhan, Dieter and Weisenberger, Daniel J. and Beck, Stephan and Clark, Susan J. and Esteller, Manel and Ferguson-Smith, Anne C. and Fraga, Mario F. and Guldberg, Per and Hansen, Lise Lotte and Laird, Peter W. and Mart{\'i}n-Subero, Jos{\'e} I. and Nygren, Anders O. H. and Peist, Ralf and Plass, Christoph and Shames, David S. and Siebert, Reiner and Sun, Xueguang and Tost, J{\"o}rg and Walter, J{\"o}rn and Zhan, Kun and {BLUEPRINT consortium}}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/nbt.3605}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {New York, NY}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nature Biotechnology}, VOLUME = {34}, PAGES = {726--737}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Halbritter, Florian %A Carmona, Francisco J. %A Tierling, Sascha %A Datlinger, Paul %A Assenov, Yassen %A Berdasco, Maria %A Bergmann, Anke K. %A Booher, Keith %A Busato, Florance %A Campan, Mihaela %A Dahl, Christina %A Dahmcke, Christina M. %A Diep, Dinh %A Fern&#225;ndez, Agust&#237;n F. %A Gerhauser, Clarissa %A Haake, Andrea %A Heilmann, Katharina %A Holcomb, Thomas %A Hussmann, Dianna %A Ito, Mitsuteru %A Kl&#228;ver, Ruth %A Kreutz, Martin %A Kulis, Marta %A Lopez, Virginia %A Nair, Shalima S. %A Paul, Dirk S. %A Plongthongkum, Nongluk %A Qu, Wenija %A Queir&#243;s, Ana C. %A Reinicke, Frank %A Sauter, Guido %A Schlomm, Thorsten %A Statham, Aaron %A Stirzaker, Clare %A Strogantsev, Ruslan %A Urdinguio, Roc&#237;o G. %A Walter, Kimberly %A Weichenhan, Dieter %A Weisenberger, Daniel J. %A Beck, Stephan %A Clark, Susan J. %A Esteller, Manel %A Ferguson-Smith, Anne C. %A Fraga, Mario F. %A Guldberg, Per %A Hansen, Lise Lotte %A Laird, Peter W. %A Mart&#237;n-Subero, Jos&#233; I. %A Nygren, Anders O. H. %A Peist, Ralf %A Plass, Christoph %A Shames, David S. %A Siebert, Reiner %A Sun, Xueguang %A Tost, J&#246;rg %A Walter, J&#246;rn %A Zhan, Kun %A BLUEPRINT consortium, %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Quantitative Comparison of DNA Methylation Assays for Biomarker Development and Clinical Applications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-6373-E %R 10.1038/nbt.3605 %7 2016 %D 2016 %K , J&#246;rg Tost, J&#246;rn Walter & Kun Zhang for The BLUEPRINT consortium %J Nature Biotechnology %V 34 %& 726 %P 726 - 737 %I Nature Publishing Group %C New York, NY %@ false
199. Bock C, Farlik M, Sheffield NC: Multi-Omics of Single Cells: Strategies and Applications. Trends in Biotechnology 2016, 34.
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@article{Bock_TrendsBiotech2016, TITLE = {Multi-Omics of Single Cells: {S}trategies and Applications}, AUTHOR = {Bock, Christoph and Farlik, Matthias and Sheffield, Nathan C.}, LANGUAGE = {eng}, ISSN = {0167-7799}, DOI = {10.1016/j.tibtech.2016.04.004}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam, Netherlands}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Trends in Biotechnology}, VOLUME = {34}, NUMBER = {8}, PAGES = {605--608}, }
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%0 Journal Article %A Bock, Christoph %A Farlik, Matthias %A Sheffield, Nathan C. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Multi-Omics of Single Cells: Strategies and Applications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-4789-D %R 10.1016/j.tibtech.2016.04.004 %2 PMC4959511 %7 2016 %D 2016 %J Trends in Biotechnology %O Trends Biotechnol. %V 34 %N 8 %& 605 %P 605 - 608 %I Elsevier %C Amsterdam, Netherlands %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959511/http://www.sciencedirect.com/science/article/pii/S0167779916300233
200. Bracciali A, Aldinucci M, Patterson M, Marschall T, Pisanti N, Merelli I, Torquati M: PWHATSHAP: Efficient Haplotyping for Future Generation Sequencing. BMC Bioinformatics (Proc CIBB 2014) 2016, 17(Suppl. 11).
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@article{Bracciali2016, TITLE = {{PWHATSHAP}: {E}fficient Haplotyping for Future Generation Sequencing}, AUTHOR = {Bracciali, Andrea and Aldinucci, Marco and Patterson, Murray and Marschall, Tobias and Pisanti, Nadia and Merelli, Ivan and Torquati, Massimo}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/s12859-016-1170-y}, PUBLISHER = {BioMed Central}, YEAR = {2016}, JOURNAL = {BMC Bioinformatics (Proc. CIBB)}, VOLUME = {17}, NUMBER = {Suppl. 11}, EID = {342}, BOOKTITLE = {Selected articles from the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Selected articles from the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2014)}, }
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%0 Journal Article %A Bracciali, Andrea %A Aldinucci, Marco %A Patterson, Murray %A Marschall, Tobias %A Pisanti, Nadia %A Merelli, Ivan %A Torquati, Massimo %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T PWHATSHAP: Efficient Haplotyping for Future Generation Sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-AEFB-6 %R 10.1186/s12859-016-1170-y %2 PMC5046197 %7 2016 %D 2016 %J BMC Bioinformatics %V 17 %N Suppl. 11 %Z sequence number: 342 %I BioMed Central %@ false %B Selected articles from the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Selected articles from the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics %O CIBB 2014
201. Carlson JM, Du VY, Pfeifer N, Bansal A, Tan VYF, Power K, Brumme CJ, Kreimer A, DeZiel CE, Fusi N, Schaefer M, Brockman MA, Gilmour J, Price MA, Kilembe W, Haubrich R, John M, Mallal S, Shapiro R, Frater J, Harrigan PR, Ndung’u T, Allen S, Heckerman D, Sidney J, Allen TM, Goulder PJR, Brumme ZL, Hunter E, Goepfert PA: Impact of Pre-adapted HIV Transmission. Nature Medicine 2016, 22.
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@article{Carlson2016, TITLE = {Impact of Pre-adapted {HIV} Transmission}, AUTHOR = {Carlson, Jonathan M. and Du, Victor Y. and Pfeifer, Nico and Bansal, Anju and Tan, Vincent Y. F. and Power, Karen and Brumme, Chanson J. and Kreimer, Anat and DeZiel, Charles E. and Fusi, Nicolo and Schaefer, Malinda and Brockman, Mark A. and Gilmour, Jil and Price, Matt A. and Kilembe, William and Haubrich, Richard and John, Mina and Mallal, Simon and Shapiro, Roger and Frater, John and Harrigan, P. Richard and Ndung'u, Thumbi and Allen, Susan and Heckerman, David and Sidney, John and Allen, Todd M. and Goulder, Philip J. R. and Brumme, Zabrina L. and Hunter, Eric and Goepfert, Paul A.}, LANGUAGE = {eng}, ISSN = {1078-8956}, DOI = {10.1038/nm.4100}, PUBLISHER = {Nature Pub. Co.}, ADDRESS = {New York, NY}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nature Medicine}, VOLUME = {22}, PAGES = {606--613}, }
Endnote
%0 Journal Article %A Carlson, Jonathan M. %A Du, Victor Y. %A Pfeifer, Nico %A Bansal, Anju %A Tan, Vincent Y. F. %A Power, Karen %A Brumme, Chanson J. %A Kreimer, Anat %A DeZiel, Charles E. %A Fusi, Nicolo %A Schaefer, Malinda %A Brockman, Mark A. %A Gilmour, Jil %A Price, Matt A. %A Kilembe, William %A Haubrich, Richard %A John, Mina %A Mallal, Simon %A Shapiro, Roger %A Frater, John %A Harrigan, P. Richard %A Ndung'u, Thumbi %A Allen, Susan %A Heckerman, David %A Sidney, John %A Allen, Todd M. %A Goulder, Philip J. R. %A Brumme, Zabrina L. %A Hunter, Eric %A Goepfert, Paul A. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Impact of Pre-adapted HIV Transmission : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-ED12-F %R 10.1038/nm.4100 %7 2016 %D 2016 %J Nature Medicine %O Nat. Med. %V 22 %& 606 %P 606 - 613 %I Nature Pub. Co. %C New York, NY %@ false
202. Christiansen A, Davidsen JR, Titlestad I, Vestbo J, Baumbach J: A Systematic Review of Breath Analysis and Detection of Volatile Organic Compounds in COPD. Journal of Breath Research 2016, 10.
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@article{Christiansen2016, TITLE = {A Systematic Review of Breath Analysis and Detection of Volatile Organic Compounds in {COPD}}, AUTHOR = {Christiansen, Anders and Davidsen, Jesper R{\o}mhild and Titlestad, Ingrid and Vestbo, J{\o}rgen and Baumbach, Jan}, LANGUAGE = {eng}, DOI = {10.1088/1752-7155/10/3/034002}, PUBLISHER = {IOP Publishing}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Journal of Breath Research}, VOLUME = {10}, NUMBER = {3}, EID = {034002}, }
Endnote
%0 Journal Article %A Christiansen, Anders %A Davidsen, Jesper R&#248;mhild %A Titlestad, Ingrid %A Vestbo, J&#248;rgen %A Baumbach, Jan %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Systematic Review of Breath Analysis and Detection of Volatile Organic Compounds in COPD : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-A5A2-E %R 10.1088/1752-7155/10/3/034002 %7 2016 %D 2016 %J Journal of Breath Research %V 10 %N 3 %Z sequence number: 034002 %I IOP Publishing
203. Dheghani Amirabad A, Schulz MH: Multitask Regression for Condition-specific Prioritization of miRNA Targets in Transcripts. PeerJ Preprints 2016, 4.
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@article{Amirabad2016, TITLE = {Multitask Regression for Condition-specific Prioritization of {miRNA} Targets in Transcripts}, AUTHOR = {Dheghani Amirabad, Azim and Schulz, Marcel Holger}, LANGUAGE = {eng}, DOI = {10.7287/peerj.preprints.2377v2}, YEAR = {2016}, JOURNAL = {PeerJ Preprints}, VOLUME = {4}, EID = {e2377v2}, }
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%0 Journal Article %A Dheghani Amirabad, Azim %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Multitask Regression for Condition-specific Prioritization of miRNA Targets in Transcripts : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-866A-8 %R 10.7287/peerj.preprints.2377v2 %7 2016-08-22 %D 2016 %8 22.08.2016 %J PeerJ Preprints %V 4 %Z sequence number: e2377v2
204. Doncheva NT: Network Biology Methods for Functional Characterization and Integrative Prioritization of Disease Genes and Proteins. Universität des Saarlandes; 2016.
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@phdthesis{DonchevaPhD2016, TITLE = {Network Biology Methods for Functional Characterization and Integrative Prioritization of Disease Genes and Proteins}, AUTHOR = {Doncheva, Nadezhda Tsankova}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-65957}, DOI = {10.22028/D291-26665}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Doncheva, Nadezhda Tsankova %Y Albrecht, Mario %A referee: Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Network Biology Methods for Functional Characterization and Integrative Prioritization of Disease Genes and Proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-1921-A %U urn:nbn:de:bsz:291-scidok-65957 %R 10.22028/D291-26665 %F OTHER: hdl:20.500.11880/26721 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %P XII, 242 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2016/6595/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
205. Döring M, Borrego P, Büch J, Martins A, Friedrich G, Camacho RJ, Eberle J, Kaiser R, Lengauer T, Taveira N, Pfeifer N: A Genotypic Method for Determining HIV-2 Coreceptor Usage enables Epidemiological Studies and Clinical Decision Support. Retrovirology 2016, 13.
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@article{DoeringRetro16, TITLE = {A Genotypic Method for Determining {HIV-2} Coreceptor Usage enables Epidemiological Studies and Clinical Decision Support}, AUTHOR = {D{\"o}ring, Matthias and Borrego, Pedro and B{\"u}ch, Joachim and Martins, Andreia and Friedrich, Georg and Camacho, Ricardo Jorge and Eberle, Josef and Kaiser, Rolf and Lengauer, Thomas and Taveira, Nuno and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1742-4690}, DOI = {10.1186/s12977-016-0320-7}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Retrovirology}, VOLUME = {13}, EID = {85}, }
Endnote
%0 Journal Article %A D&#246;ring, Matthias %A Borrego, Pedro %A B&#252;ch, Joachim %A Martins, Andreia %A Friedrich, Georg %A Camacho, Ricardo Jorge %A Eberle, Josef %A Kaiser, Rolf %A Lengauer, Thomas %A Taveira, Nuno %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Genotypic Method for Determining HIV-2 Coreceptor Usage enables Epidemiological Studies and Clinical Decision Support : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-298A-A %R 10.1186/s12977-016-0320-7 %7 2016-12-20 %D 2016 %8 20.12.2016 %K Human immunodeficiency virus type 2, HIV-2, Coreceptor, Chemokine receptor, Prediction, Statistical learning, V3, V1, V2, Coreceptor antagonists %J Retrovirology %V 13 %Z sequence number: 85 %I BioMed Central %C London %@ false
206. Durai DA, Schulz MH: Informed kmer Selection for de novo Transcriptome Assembly. Bioinformatics 2016, 32.
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@article{Durai2016, TITLE = {Informed $k$mer Selection for \textit{de novo} Transcriptome Assembly}, AUTHOR = {Durai, Dilip Ariyur and Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw217}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics}, VOLUME = {32}, NUMBER = {11}, PAGES = {1670--1677}, }
Endnote
%0 Journal Article %A Durai, Dilip Ariyur %A Schulz, Marcel H. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Informed kmer Selection for de novo Transcriptome Assembly : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-F53A-5 %R 10.1093/bioinformatics/btw217 %2 PMC4892416 %7 2016 %D 2016 %J Bioinformatics %V 32 %N 11 %& 1670 %P 1670 - 1677 %I Oxford University Press %C Oxford %@ false
207. Durek P, Nordström K, Gasparoni G, Salhab A, Kressler C, de Almeida M, Bassler K, Ulas T, Schmidt F, Xiong J, Glažar P, Klironomos F, Sinha A, Kinkley S, Yang X, Arrigoni L, Dheghani Amirabad A, Behjati Ardakani F, Feuerbach L, Gorka O, Ebert P, Müller F, Li N, Frischbutter S, Schlickeiser S, Cendon C, Fröhler S, Felder B, Gasparoni N, Imbusch CD, et al.: Epigenomic Profiling of Human CD4+ T Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development. Immunity 2016, 45.
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@article{Durek2016, TITLE = {Epigenomic Profiling of Human {CD4}+ {T} Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development}, AUTHOR = {Durek, Pawel and Nordstr{\"o}m, Karl and Gasparoni, Gilles and Salhab, Abdulrahman and Kressler, Christopher and de Almeida, Melanie and Bassler, Kevin and Ulas, Thomas and Schmidt, Florian and Xiong, Jieyi and Gla{\v z}ar, Petar and Klironomos, Filippos and Sinha, Anupam and Kinkley, Sarah and Yang, Xinyi and Arrigoni, Laura and Dheghani Amirabad, Azim and Behjati Ardakani, Fatemeh and Feuerbach, Lars and Gorka, Oliver and Ebert, Peter and M{\"u}ller, Fabian and Li, Na and Frischbutter, Stefan and Schlickeiser, Stephan and Cendon, Carla and Fr{\"o}hler, Sebastian and Felder, B{\"a}rbel and Gasparoni, Nina and Imbusch, Charles D. and Hutter, Barbara and Zipprich, Gideon and Tauchmann, Yvonne and Reinke, Simon and Wassilew, Georgi and Hoffmann, Ute and Richter, Andreas S. and Sieverling, Lina and {DEEP Consortium} and Chang, Hyun-Dong and Syrbe, Uta and Kalus, Ulrich and Eils, J{\"u}rgen and Brors, Benedikt and Manke, Thomas and Ruland, J{\"u}rgen and Lengauer, Thomas and Rajewsky, Nikolaus and Chen, Wei and Dong, Jun and Sawitzki, Birgit and Chung, Ho-Ryun and Rosenstiel, Philip and Schulz, Marcel H. and Schultze, Joachim L. and Radbruch, Andreas and Walter, J{\"o}rn and Hamann, Alf and Polansky, Julia K.}, LANGUAGE = {eng}, ISSN = {1074-7613}, DOI = {10.1016/j.immuni.2016.10.022}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Immunity}, VOLUME = {45}, NUMBER = {5}, PAGES = {1148--1161}, }
Endnote
%0 Journal Article %A Durek, Pawel %A Nordstr&#246;m, Karl %A Gasparoni, Gilles %A Salhab, Abdulrahman %A Kressler, Christopher %A de Almeida, Melanie %A Bassler, Kevin %A Ulas, Thomas %A Schmidt, Florian %A Xiong, Jieyi %A Gla&#382;ar, Petar %A Klironomos, Filippos %A Sinha, Anupam %A Kinkley, Sarah %A Yang, Xinyi %A Arrigoni, Laura %A Dheghani Amirabad, Azim %A Behjati Ardakani, Fatemeh %A Feuerbach, Lars %A Gorka, Oliver %A Ebert, Peter %A M&#252;ller, Fabian %A Li, Na %A Frischbutter, Stefan %A Schlickeiser, Stephan %A Cendon, Carla %A Fr&#246;hler, Sebastian %A Felder, B&#228;rbel %A Gasparoni, Nina %A Imbusch, Charles D. %A Hutter, Barbara %A Zipprich, Gideon %A Tauchmann, Yvonne %A Reinke, Simon %A Wassilew, Georgi %A Hoffmann, Ute %A Richter, Andreas S. %A Sieverling, Lina %A DEEP Consortium, %A Chang, Hyun-Dong %A Syrbe, Uta %A Kalus, Ulrich %A Eils, J&#252;rgen %A Brors, Benedikt %A Manke, Thomas %A Ruland, J&#252;rgen %A Lengauer, Thomas %A Rajewsky, Nikolaus %A Chen, Wei %A Dong, Jun %A Sawitzki, Birgit %A Chung, Ho-Ryun %A Rosenstiel, Philip %A Schulz, Marcel H. %A Schultze, Joachim L. %A Radbruch, Andreas %A Walter, J&#246;rn %A Hamann, Alf %A Polansky, Julia K. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Epigenomic Profiling of Human CD4+ T Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2DF6-1 %R 10.1016/j.immuni.2016.10.022 %7 2016 %D 2016 %J Immunity %V 45 %N 5 %& 1148 %P 1148 - 1161 %I Cell Press %C Cambridge, Mass. %@ false
208. Farlik M, Halbritter F, Müller F, Choudry FA, Ebert P, Klughammer J, Farrow S, Santoro A, Ciaurro V, Mathur A, Uppal R, Stunnenberg HG, Ouwehand WH, Laurenti E, Lengauer T, Frontini M, Bock C: DNA Methylation Dynamics of Human Hematopoietic Stem Cell Differentiation. Cell Stem Cell 2016, 19.
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@article{Farlik:2016ig, TITLE = {{DNA} Methylation Dynamics of Human Hematopoietic Stem Cell Differentiation}, AUTHOR = {Farlik, Matthias and Halbritter, Florian and M{\"u}ller, Fabian and Choudry, Fizzah A. and Ebert, Peter and Klughammer, Johanna and Farrow, Samantha and Santoro, Antonella and Ciaurro, Valerio and Mathur, Anthony and Uppal, Rakesh and Stunnenberg, Hendrik G. and Ouwehand, Willem H. and Laurenti, Elisa and Lengauer, Thomas and Frontini, Mattia and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1875-9777}, DOI = {10.1016/j.stem.2016.10.019}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Cell Stem Cell}, VOLUME = {19}, NUMBER = {6}, PAGES = {808--822}, }
Endnote
%0 Journal Article %A Farlik, Matthias %A Halbritter, Florian %A M&#252;ller, Fabian %A Choudry, Fizzah A. %A Ebert, Peter %A Klughammer, Johanna %A Farrow, Samantha %A Santoro, Antonella %A Ciaurro, Valerio %A Mathur, Anthony %A Uppal, Rakesh %A Stunnenberg, Hendrik G. %A Ouwehand, Willem H. %A Laurenti, Elisa %A Lengauer, Thomas %A Frontini, Mattia %A Bock, Christoph %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T DNA Methylation Dynamics of Human Hematopoietic Stem Cell Differentiation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2094-5 %R 10.1016/j.stem.2016.10.019 %7 2016-11-17 %D 2016 %J Cell Stem Cell %V 19 %N 6 %& 808 %P 808 - 822 %I Elsevier %C Amsterdam %@ false
209. Fischer S: Selecting Reads for Haplotype Phasing. Universität des Saarlandes; 2016.
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@mastersthesis{FischerMSc2016, TITLE = {Selecting Reads for Haplotype Phasing}, AUTHOR = {Fischer, Sarah}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Fischer, Sarah %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Selecting Reads for Haplotype Phasing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4839-8 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V master %9 master
210. Forster J: Inferring Horizontal Gene Transfer from NGS Data. Universität des Saarlandes; 2016.
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@mastersthesis{ForsterMSc2016, TITLE = {Inferring Horizontal Gene Transfer from {NGS} Data}, AUTHOR = {Forster, Jan}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Forster, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inferring Horizontal Gene Transfer from NGS Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4845-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V master %9 master
211. Gapp BV, Konopka T, Penz T, Dalal V, Bürckstümmer T, Bock C, Nijman SMB: Parallel Reverse Genetic Screening in Mutant Human Cells Using Transcriptomics. Molecular Systems Biology 2016, 12.
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@article{Gapp2016, TITLE = {Parallel Reverse Genetic Screening in Mutant Human Cells Using Transcriptomics}, AUTHOR = {Gapp, Bianca V. and Konopka, Tomasz and Penz, Thomas and Dalal, Vineet and B{\"u}rckst{\"u}mmer, Tilmann and Bock, Christoph and Nijman, Sebastian M. B.}, LANGUAGE = {eng}, ISSN = {1744-4292}, DOI = {10.15252/msb.20166890}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Molecular Systems Biology}, VOLUME = {12}, NUMBER = {8}, EID = {879}, }
Endnote
%0 Journal Article %A Gapp, Bianca V. %A Konopka, Tomasz %A Penz, Thomas %A Dalal, Vineet %A B&#252;rckst&#252;mmer, Tilmann %A Bock, Christoph %A Nijman, Sebastian M. B. %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Parallel Reverse Genetic Screening in Mutant Human Cells Using Transcriptomics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-5503-8 %R 10.15252/msb.20166890 %7 2016-08-01 %D 2016 %8 01.08.2016 %J Molecular Systems Biology %V 12 %N 8 %Z sequence number: 879 %I Nature Pub. Group %C London %@ false
212. Garg S, Martin M, Marschall T: Read-based Phasing of Related Individuals. Bioinformatics (Proc ISMB 2016) 2016, 32.
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@article{GargMarschall2016, TITLE = {Read-based Phasing of Related Individuals}, AUTHOR = {Garg, Shilpa and Martin, Marcel and Marschall, Tobias}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw276}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics (Proc. ISMB)}, VOLUME = {32}, NUMBER = {12}, PAGES = {i234--i242}, BOOKTITLE = {ISMB 2016 Proceedings}, EDITOR = {Baldi, Pierre and Przytycka, Teresa}, }
Endnote
%0 Journal Article %A Garg, Shilpa %A Martin, Marcel %A Marschall, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Read-based Phasing of Related Individuals : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-F931-A %R 10.1093/bioinformatics/btw276 %2 PMC4908360 %7 2016 %D 2016 %J Bioinformatics %V 32 %N 12 %& i234 %P i234 - i242 %I Oxford University Press %C Oxford %@ false %B ISMB 2016 Proceedings %O July 8 to July 12, 2016, Orlando, Florida 24th Annual Conference Intelligent Systems for Molecular Biology ISMB 2016
213. Götz U, Marker S, Cheaib M, Andresen K, Shrestha S, Durai DA, Nordström K, Schulz MH, Simon M: Two Sets of RNAi Components are Required for Heterochromatin Formation in Trans Triggered by Truncated Transgenes. Nucleic Acids Research 2016, 44.
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@article{Goetz2016, TITLE = {Two Sets of {RNA}i Components are Required for Heterochromatin Formation \textsl{in trans} Triggered by Truncated Transgenes}, AUTHOR = {G{\"o}tz, Ulrike and Marker, Simone and Cheaib, Miriam and Andresen, Karsten and Shrestha, Simon and Durai, Dilip Ariyur and Nordstr{\"o}m, Karl and Schulz, Marcel H. and Simon, Martin}, LANGUAGE = {eng}, ISSN = {0301-5610}, DOI = {10.1093/nar/gkw267}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nucleic Acids Research}, VOLUME = {44}, NUMBER = {12}, PAGES = {5908--5923}, }
Endnote
%0 Journal Article %A G&#246;tz, Ulrike %A Marker, Simone %A Cheaib, Miriam %A Andresen, Karsten %A Shrestha, Simon %A Durai, Dilip Ariyur %A Nordstr&#246;m, Karl %A Schulz, Marcel H. %A Simon, Martin %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Two Sets of RNAi Components are Required for Heterochromatin Formation in Trans Triggered by Truncated Transgenes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-16B8-E %R 10.1093/nar/gkw267 %7 2016 %D 2016 %J Nucleic Acids Research %O Nucleic Acids Res. %V 44 %N 12 %& 5908 %P 5908 - 5923 %@ false
214. Gress A, Ramensky V, Büch J, Keller A, Kalinina OV: StructMAn: Annotation of Single-nucleotide Polymorphisms in the Structural Context. Nucleic Acids Research 2016, 44(W1/Web Server issue).
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@article{Gress_Buech_Kalinina2016, TITLE = {{StructMAn}: {A}nnotation of Single-nucleotide Polymorphisms in the Structural Context}, AUTHOR = {Gress, Alexander and Ramensky, Vasily and B{\"u}ch, Joachim and Keller, Andreas and Kalinina, Olga V.}, LANGUAGE = {eng}, DOI = {10.1093/nar/gkw364}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nucleic Acids Research}, VOLUME = {44}, NUMBER = {W1/Web Server issue}, PAGES = {W463--W468}, }
Endnote
%0 Journal Article %A Gress, Alexander %A Ramensky, Vasily %A B&#252;ch, Joachim %A Keller, Andreas %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T StructMAn: Annotation of Single-nucleotide Polymorphisms in the Structural Context : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-42A2-6 %R 10.1093/nar/gkw364 %2 PMC4987916 %7 2016 %D 2016 %* Review method: peer-reviewed %J Nucleic Acids Research %V 44 %N W1/Web Server issue %& W463 %P W463 - W468 %I Oxford University Press %C Oxford, UK
215. Partially Blind Domain Adaptation for Age Prediction from DNA Methylation Data [http://arxiv.org/abs/1612.06650]
(arXiv: 1612.06650)
Abstract
Over the last years, huge resources of biological and medical data have become available for research. This data offers great chances for machine learning applications in health care, e.g. for precision medicine, but is also challenging to analyze. Typical challenges include a large number of possibly correlated features and heterogeneity in the data. One flourishing field of biological research in which this is relevant is epigenetics. Here, especially large amounts of DNA methylation data have emerged. This epigenetic mark has been used to predict a donor's 'epigenetic age' and increased epigenetic aging has been linked to lifestyle and disease history. In this paper we propose an adaptive model which performs feature selection for each test sample individually based on the distribution of the input data. The method can be seen as partially blind domain adaptation. We apply the model to the problem of age prediction based on DNA methylation data from a variety of tissues, and compare it to a standard model, which does not take heterogeneity into account. The standard approach has particularly bad performance on one tissue type on which we show substantial improvement with our new adaptive approach even though no samples of that tissue were part of the training data.
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@online{HandlarXiv2016, TITLE = {Partially Blind Domain Adaptation for Age Prediction from {DNA} Methylation Data}, AUTHOR = {Handl, Lisa and Jalali, Adrin and Scherer, Michael and Pfeifer, Nico}, LANGUAGE = {eng}, URL = {http://arxiv.org/abs/1612.06650}, EPRINT = {1612.06650}, EPRINTTYPE = {arXiv}, YEAR = {2016}, ABSTRACT = {Over the last years, huge resources of biological and medical data have become available for research. This data offers great chances for machine learning applications in health care, e.g. for precision medicine, but is also challenging to analyze. Typical challenges include a large number of possibly correlated features and heterogeneity in the data. One flourishing field of biological research in which this is relevant is epigenetics. Here, especially large amounts of DNA methylation data have emerged. This epigenetic mark has been used to predict a donor's 'epigenetic age' and increased epigenetic aging has been linked to lifestyle and disease history. In this paper we propose an adaptive model which performs feature selection for each test sample individually based on the distribution of the input data. The method can be seen as partially blind domain adaptation. We apply the model to the problem of age prediction based on DNA methylation data from a variety of tissues, and compare it to a standard model, which does not take heterogeneity into account. The standard approach has particularly bad performance on one tissue type on which we show substantial improvement with our new adaptive approach even though no samples of that tissue were part of the training data.}, }
Endnote
%0 Report %A Handl, Lisa %A Jalali, Adrin %A Scherer, Michael %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Partially Blind Domain Adaptation for Age Prediction from DNA Methylation Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4CDD-3 %U http://arxiv.org/abs/1612.06650 %D 2016 %X Over the last years, huge resources of biological and medical data have become available for research. This data offers great chances for machine learning applications in health care, e.g. for precision medicine, but is also challenging to analyze. Typical challenges include a large number of possibly correlated features and heterogeneity in the data. One flourishing field of biological research in which this is relevant is epigenetics. Here, especially large amounts of DNA methylation data have emerged. This epigenetic mark has been used to predict a donor's 'epigenetic age' and increased epigenetic aging has been linked to lifestyle and disease history. In this paper we propose an adaptive model which performs feature selection for each test sample individually based on the distribution of the input data. The method can be seen as partially blind domain adaptation. We apply the model to the problem of age prediction based on DNA methylation data from a variety of tissues, and compare it to a standard model, which does not take heterogeneity into account. The standard approach has particularly bad performance on one tissue type on which we show substantial improvement with our new adaptive approach even though no samples of that tissue were part of the training data. %K Quantitative Biology, Quantitative Methods, q-bio.QM,Statistics, Machine Learning, stat.ML
216. Hauschild A-C: Computational Methods for Breath Metabolomics in Clinical Diagnostics. Universität des Saarlandes; 2016.
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@phdthesis{Hauschild_PhD2016, TITLE = {Computational Methods for Breath Metabolomics in Clinical Diagnostics}, AUTHOR = {Hauschild, Anne-Christin}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-65874}, DOI = {10.22028/D291-26662}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Hauschild, Anne-Christin %Y Helms, Volkhard %A referee: Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Methods for Breath Metabolomics in Clinical Diagnostics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-0C18-7 %U urn:nbn:de:bsz:291-scidok-65874 %R 10.22028/D291-26662 %F OTHER: hdl:20.500.11880/26718 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %P 188 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2016/6587/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
217. Heger E, Theis AA, Remmel K, Walter H, Pironti A, Knops E, Cristanziano VD, Jensen B, Esser S, Kaiser R, Lübke N: Development of a Phenotypic Susceptibility Assay for HIV-1 Integrase Inhibitors. Journal of Virological Methods 2016, 238.
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@article{Heger_Theis2016, TITLE = {Development of a Phenotypic Susceptibility Assay for {HIV}-1 Integrase Inhibitors}, AUTHOR = {Heger, Eva and Theis, Alexandra Andr{\'e}e and Remmel, Klaus and Walter, Hauke and Pironti, Alejandro and Knops, Elena and Cristanziano, Veronica Di and Jensen, Bj{\"o}rn and Esser, Stefan and Kaiser, Rolf and L{\"u}bke, Nadine}, LANGUAGE = {eng}, ISSN = {0166-0934}, DOI = {10.1016/j.jviromet.2016.10.002}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Journal of Virological Methods}, VOLUME = {238}, PAGES = {29--37}, }
Endnote
%0 Journal Article %A Heger, Eva %A Theis, Alexandra Andr&#233;e %A Remmel, Klaus %A Walter, Hauke %A Pironti, Alejandro %A Knops, Elena %A Cristanziano, Veronica Di %A Jensen, Bj&#246;rn %A Esser, Stefan %A Kaiser, Rolf %A L&#252;bke, Nadine %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Development of a Phenotypic Susceptibility Assay for HIV-1 Integrase Inhibitors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2DCF-E %R 10.1016/j.jviromet.2016.10.002 %7 2016 %D 2016 %J Journal of Virological Methods %V 238 %& 29 %P 29 - 37 %I Elsevier %C Amsterdam %@ false
218. Hehir-Kwa JY, Marschall T, Kloosterman WP, Francioli LC, Baaijens JA, Dijkstra LJ, Abdellaoui A, Koval V, Thung DT, Wardenaar R, Renkens I, Coe BP, Deelen P, de Ligt J, Lameijer E-W, van Dijk F, Hormozdiari F, Uitterlinden AG, van Duijn CM, Eichler EE, de Bakker PIW, Swertz MA, Wijmenga C, van Ommen G-J, Slagboom E, Boomsma DI, Schönhuth A, Ye K, Guryev V: A High-quality Human Reference Panel Reveals the Complexity and Distribution of Genomic Structural Variants. Nature Communications 2016, 7.
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@article{Hehir-Kwa2016, TITLE = {A High-quality Human Reference Panel Reveals the Complexity and Distribution of Genomic Structural Variants}, AUTHOR = {Hehir-Kwa, Jayne Y. and Marschall, Tobias and Kloosterman, Wigard P. and Francioli, Laurent C. and Baaijens, Jasmijn A. and Dijkstra, Louis J. and Abdellaoui, Abdel and Koval, Vyacheslav and Thung, Dije Tiwan and Wardenaar, Ren{\'e} and Renkens, Ivo and Coe, Bradley P. and Deelen, Patrick and de Ligt, Joep and Lameijer, Eric-Wubbo and van Dijk, Freerk and Hormozdiari, Fereydoun and Uitterlinden, Andr{\'e} G. and van Duijn, Cornelia M. and Eichler, Evan E. and de Bakker, Paul I. W. and Swertz, Morris A. and Wijmenga, Cisca and van Ommen, Gert-Jan and Slagboom, Eline and Boomsma, Dorret I. and Sch{\"o}nhuth, Alexander and Ye, Kai and Guryev, Victor}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/ncomms12989}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Nature Communications}, VOLUME = {7}, EID = {12989}, }
Endnote
%0 Journal Article %A Hehir-Kwa, Jayne Y. %A Marschall, Tobias %A Kloosterman, Wigard P. %A Francioli, Laurent C. %A Baaijens, Jasmijn A. %A Dijkstra, Louis J. %A Abdellaoui, Abdel %A Koval, Vyacheslav %A Thung, Dije Tiwan %A Wardenaar, Ren&#233; %A Renkens, Ivo %A Coe, Bradley P. %A Deelen, Patrick %A de Ligt, Joep %A Lameijer, Eric-Wubbo %A van Dijk, Freerk %A Hormozdiari, Fereydoun %A Uitterlinden, Andr&#233; G. %A van Duijn, Cornelia M. %A Eichler, Evan E. %A de Bakker, Paul I. W. %A Swertz, Morris A. %A Wijmenga, Cisca %A van Ommen, Gert-Jan %A Slagboom, Eline %A Boomsma, Dorret I. %A Sch&#246;nhuth, Alexander %A Ye, Kai %A Guryev, Victor %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T A High-quality Human Reference Panel Reveals the Complexity and Distribution of Genomic Structural Variants : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-AF0A-B %R 10.1038/ncomms12989 %7 2016 %D 2016 %J Nature Communications %O Nat. Commun. %V 7 %Z sequence number: 12989 %I Nature Publishing Group %C London %@ false
219. Heller G, Topakian T, Altenberger C, Cerny-Reiterer S, Herndlhofer S, Ziegler B, Datlinger P, Byrgazov K, Bock C, Mannhalter C, Hörmann G, Sperr WR, Lion T, Zielinski CC, Valent P, Zöchbauer-Müller S: Next-generation Sequencing Identifies Major DNA Methylation Changes during Progression of Ph+ Chronic Myeloid Leukemia. Leukemia 2016, 30.
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@article{Heller2016, TITLE = {Next-generation sequencing identifies major {DNA} methylation changes during progression of {Ph}+ chronic myeloid leukemia}, AUTHOR = {Heller, G. and Topakian, T. and Altenberger, C. and Cerny-Reiterer, S. and Herndlhofer, S. and Ziegler, B. and Datlinger, P. and Byrgazov, K. and Bock, Christoph and Mannhalter, C. and H{\"o}rmann, G. and Sperr, W. R. and Lion, T. and Zielinski, C. C. and Valent, P. and Z{\"o}chbauer-M{\"u}ller, S.}, LANGUAGE = {eng}, ISSN = {0887-6924}, DOI = {10.1038/leu.2016.143}, PUBLISHER = {NPG}, ADDRESS = {London}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Leukemia}, VOLUME = {30}, PAGES = {1861--1868}, }
Endnote
%0 Journal Article %A Heller, G. %A Topakian, T. %A Altenberger, C. %A Cerny-Reiterer, S. %A Herndlhofer, S. %A Ziegler, B. %A Datlinger, P. %A Byrgazov, K. %A Bock, Christoph %A Mannhalter, C. %A H&#246;rmann, G. %A Sperr, W. R. %A Lion, T. %A Zielinski, C. C. %A Valent, P. %A Z&#246;chbauer-M&#252;ller, S. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Next-generation Sequencing Identifies Major DNA Methylation Changes during Progression of Ph+ Chronic Myeloid Leukemia : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-9AEC-3 %R 10.1038/leu.2016.143 %7 2016-06-17 %D 2016 %J Leukemia %V 30 %& 1861 %P 1861 - 1868 %I NPG %C London %@ false
220. Jalali A, Pfeifer N: Interpretable Per Case Weighted Ensemble Method for Cancer Associations. BMC Genomics 2016, 17.
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@article{JalaliPfeifer2016, TITLE = {Interpretable Per Case Weighted Ensemble Method for Cancer Associations}, AUTHOR = {Jalali, Adrin and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1471-2164}, DOI = {10.1186/s12864-016-2647-9}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {BMC Genomics}, VOLUME = {17}, EID = {501}, }
Endnote
%0 Journal Article %A Jalali, Adrin %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Interpretable Per Case Weighted Ensemble Method for Cancer Associations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-16A3-D %R 10.1186/s12864-016-2647-9 %7 2016 %D 2016 %J BMC Genomics %V 17 %Z sequence number: 501 %I BioMed Central %C London %@ false
221. Kalaghatgi P, Pfeifer N, Lengauer T: Family-Joining: A Fast Distance-Based Method for Constructing Generally Labeled Trees. Molecular Biology and Evolution 2016, 33.
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@article{Kalaghatgi2016, TITLE = {Family-Joining: A Fast Distance-Based Method for Constructing Generally Labeled Trees}, AUTHOR = {Kalaghatgi, Prabhav and Pfeifer, Nico and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0737-4038}, DOI = {10.1093/molbev/msw123}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Molecular Biology and Evolution}, VOLUME = {33}, NUMBER = {10}, PAGES = {2720--2734}, }
Endnote
%0 Journal Article %A Kalaghatgi, Prabhav %A Pfeifer, Nico %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Family-Joining: A Fast Distance-Based Method for Constructing Generally Labeled Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-8268-E %R 10.1093/molbev/msw123 %7 2016 %D 2016 %J Molecular Biology and Evolution %O Mol. Biol. Evol. %V 33 %N 10 %& 2720 %P 2720 - 2734 %I Oxford University Press %C Oxford %@ false %U http://mbe.oxfordjournals.org/content/33/10/2720/suppl/DC1
222. Kalaghatgi P, Sikorski AM, Knops E, Rupp D, Sierra S, Heger E, Neumann-Fraune M, Beggel B, Walker A, Timm J, Walter H, Obermeier M, Kaiser R, Bartenschlager R, Lengauer T: Geno2pheno [HCV] -- A Web-based Interpretation System to Support Hepatitis C Treatment Decisions in the Era of Direct-Acting Antiviral Agents. PLoS One 2016, 11.
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@article{KalaghatgiPLOSone2016, TITLE = {{Geno2pheno} [{HCV}] -- A Web-based Interpretation System to Support Hepatitis {C} Treatment Decisions in the Era of Direct-Acting Antiviral Agents}, AUTHOR = {Kalaghatgi, Prabhav and Sikorski, Anna Maria and Knops, Elena and Rupp, Daniel and Sierra, Saleta and Heger, Eva and Neumann-Fraune, Maria and Beggel, Bastian and Walker, Andreas and Timm, J{\"o}rg and Walter, Hauke and Obermeier, Martin and Kaiser, Rolf and Bartenschlager, Ralf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0155869}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2016}, JOURNAL = {PLoS One}, VOLUME = {11}, NUMBER = {5}, EID = {e0155869}, }
Endnote
%0 Journal Article %A Kalaghatgi, Prabhav %A Sikorski, Anna Maria %A Knops, Elena %A Rupp, Daniel %A Sierra, Saleta %A Heger, Eva %A Neumann-Fraune, Maria %A Beggel, Bastian %A Walker, Andreas %A Timm, J&#246;rg %A Walter, Hauke %A Obermeier, Martin %A Kaiser, Rolf %A Bartenschlager, Ralf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno [HCV] -- A Web-based Interpretation System to Support Hepatitis C Treatment Decisions in the Era of Direct-Acting Antiviral Agents : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-EB8A-2 %R 10.1371/journal.pone.0155869 %2 PMC4873220 %7 2016-05-19 %D 2016 %8 19.05.2016 %J PLoS One %V 11 %N 5 %Z sequence number: e0155869 %I Public Library of Science %C San Francisco, CA %@ false
223. Kartashev V, Döring M, Nieto L, Coletta E, Kaiser R, Sierra S: New Findings in HCV Genotype Distribution in Selected West European, Russian and Israeli Regions. Journal of Clinical Virology 2016, 81.
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@article{Kartashev2016, TITLE = {New findings in {HCV} genotype distribution in selected {West European}, {Russian} and {Israeli} regions}, AUTHOR = {Kartashev, Vladimir and D{\"o}ring, Matthias and Nieto, Leonardo and Coletta, Eleda and Kaiser, Rolf and Sierra, Saleta}, LANGUAGE = {eng}, ISSN = {1386-6532}, DOI = {10.1016/j.jcv.2016.05.010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Journal of Clinical Virology}, VOLUME = {81}, PAGES = {82--89}, }
Endnote
%0 Journal Article %A Kartashev, Vladimir %A D&#246;ring, Matthias %A Nieto, Leonardo %A Coletta, Eleda %A Kaiser, Rolf %A Sierra, Saleta %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T New Findings in HCV Genotype Distribution in Selected West European, Russian and Israeli Regions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-F8EB-0 %R 10.1016/j.jcv.2016.05.010 %7 2016-05-24 %D 2016 %J Journal of Clinical Virology %V 81 %& 82 %P 82 - 89 %I Elsevier %C Amsterdam %@ false
224. Keller S: Finding Common Substructures in Viral Proteins Using Frequent Subgraph Mining. Universität des Saarlandes; 2016.
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@mastersthesis{Keller2016, TITLE = {Finding Common Substructures in Viral Proteins Using Frequent Subgraph Mining}, AUTHOR = {Keller, Sebastian}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Keller, Sebastian %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Finding Common Substructures in Viral Proteins Using Frequent Subgraph Mining : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2881-6 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V master %9 master
225. Lawyer G: Measuring the Potential of Individual Airports for Pandemic Spread over the World Airline Network. BMC Infectious Diseases 2016, 16.
Abstract
ABSTRACT: BACKGROUND: Massive growth in human mobility has dramatically increased the risk and rate of pandemic spread. Macro-level descriptors of the topology of the World Airline Network (WAN) explains middle and late stage dynamics of pandemic spread mediated by this network, but necessarily regard early stage variation as stochastic. We propose that much of this early stage variation can be explained by appropriately characterizing the local network topology surrounding an outbreak’s debut location. METHODS: Based on a model of the WAN derived from public data, we measure for each airport the expected force of infection (AEF) which a pandemic originating at that airport would generate, assuming an epidemic process which transmits from airport to airport via scheduled commercial flights. We observe, for a subset of world airports, the minimum transmission rate at which a disease becomes pandemically competent at each airport. We also observe, for a larger subset, the time until a pandemically competent outbreak achieves pandemic status given its debut location. Observations are generated using a highly sophisticated metapopulation reaction-diffusion simulator under a disease model known to well replicate the 2009 influenza pandemic. The robustness of the AEF measure to model misspecification is examined by degrading the underlying model WAN. RESULTS: AEF powerfully explains pandemic risk, showing correlation of 0.90 to the transmission level needed to give a disease pandemic competence, and correlation of 0.85 to the delay until an outbreak becomes a pandemic. The AEF is robust to model misspecification. For 97 % of airports, removing 15 % of airports from the model changes their AEF metric by less than 1 %. CONCLUSIONS: Appropriately summarizing the size, shape, and diversity of an airport’s local neighborhood in the WAN accurately explains much of the macro-level stochasticity in pandemic outcomes.
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@article{Lawyer2016BMC, TITLE = {Measuring the Potential of Individual Airports for Pandemic Spread over the World Airline Network}, AUTHOR = {Lawyer, Glenn}, LANGUAGE = {eng}, ISSN = {1471-2334}, DOI = {10.1186/s12879-016-1350-4}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London, UK}, YEAR = {2016}, ABSTRACT = {ABSTRACT: BACKGROUND: Massive growth in human mobility has dramatically increased the risk and rate of pandemic spread. Macro-level descriptors of the topology of the World Airline Network (WAN) explains middle and late stage dynamics of pandemic spread mediated by this network, but necessarily regard early stage variation as stochastic. We propose that much of this early stage variation can be explained by appropriately characterizing the local network topology surrounding an outbreak{\textquoteright}s debut location. METHODS: Based on a model of the WAN derived from public data, we measure for each airport the expected force of infection (AEF) which a pandemic originating at that airport would generate, assuming an epidemic process which transmits from airport to airport via scheduled commercial flights. We observe, for a subset of world airports, the minimum transmission rate at which a disease becomes pandemically competent at each airport. We also observe, for a larger subset, the time until a pandemically competent outbreak achieves pandemic status given its debut location. Observations are generated using a highly sophisticated metapopulation reaction-diffusion simulator under a disease model known to well replicate the 2009 influenza pandemic. The robustness of the AEF measure to model misspecification is examined by degrading the underlying model WAN. RESULTS: AEF powerfully explains pandemic risk, showing correlation of 0.90 to the transmission level needed to give a disease pandemic competence, and correlation of 0.85 to the delay until an outbreak becomes a pandemic. The AEF is robust to model misspecification. For 97 % of airports, removing 15 % of airports from the model changes their AEF metric by less than 1 %. CONCLUSIONS: Appropriately summarizing the size, shape, and diversity of an airport{\textquoteright}s local neighborhood in the WAN accurately explains much of the macro-level stochasticity in pandemic outcomes.}, JOURNAL = {BMC Infectious Diseases}, VOLUME = {16}, NUMBER = {1}, EID = {70}, }
Endnote
%0 Journal Article %A Lawyer, Glenn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Measuring the Potential of Individual Airports for Pandemic Spread over the World Airline Network : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-C693-A %R 10.1186/s12879-016-1350-4 %7 2016-02-09 %D 2016 %8 09.02.2016 %X ABSTRACT: BACKGROUND: Massive growth in human mobility has dramatically increased the risk and rate of pandemic spread. Macro-level descriptors of the topology of the World Airline Network (WAN) explains middle and late stage dynamics of pandemic spread mediated by this network, but necessarily regard early stage variation as stochastic. We propose that much of this early stage variation can be explained by appropriately characterizing the local network topology surrounding an outbreak&#8217;s debut location. METHODS: Based on a model of the WAN derived from public data, we measure for each airport the expected force of infection (AEF) which a pandemic originating at that airport would generate, assuming an epidemic process which transmits from airport to airport via scheduled commercial flights. We observe, for a subset of world airports, the minimum transmission rate at which a disease becomes pandemically competent at each airport. We also observe, for a larger subset, the time until a pandemically competent outbreak achieves pandemic status given its debut location. Observations are generated using a highly sophisticated metapopulation reaction-diffusion simulator under a disease model known to well replicate the 2009 influenza pandemic. The robustness of the AEF measure to model misspecification is examined by degrading the underlying model WAN. RESULTS: AEF powerfully explains pandemic risk, showing correlation of 0.90 to the transmission level needed to give a disease pandemic competence, and correlation of 0.85 to the delay until an outbreak becomes a pandemic. The AEF is robust to model misspecification. For 97 % of airports, removing 15 % of airports from the model changes their AEF metric by less than 1 %. CONCLUSIONS: Appropriately summarizing the size, shape, and diversity of an airport&#8217;s local neighborhood in the WAN accurately explains much of the macro-level stochasticity in pandemic outcomes. %J BMC Infectious Diseases %V 16 %N 1 %Z sequence number: 70 %I BioMed Central Ltd. %C London, UK %@ false
226. Li J, Klughammer J, Farlik M, Penz T, Spittler A, Barbieux C, Berishvili E, Bock C, Kubicek S: Single-cell Transcriptomes Reveal Characteristic Features of Human Pancreatic Islet Cell Types. EMBO Reports 2016, 17.
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@article{Li2015EMBO, TITLE = {Single-cell Transcriptomes Reveal Characteristic Features of Human Pancreatic Islet Cell Types}, AUTHOR = {Li, Jin and Klughammer, Johanna and Farlik, Matthias and Penz, Thomas and Spittler, Andreas and Barbieux, Charlotte and Berishvili, Ekaterine and Bock, Christoph and Kubicek, Stefan}, LANGUAGE = {eng}, ISSN = {1469-221X}, DOI = {10.15252/embr.201540946}, PUBLISHER = {Published for EMBO by Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2016}, DATE = {2016}, JOURNAL = {EMBO Reports}, VOLUME = {17}, NUMBER = {2}, PAGES = {178--187}, }
Endnote
%0 Journal Article %A Li, Jin %A Klughammer, Johanna %A Farlik, Matthias %A Penz, Thomas %A Spittler, Andreas %A Barbieux, Charlotte %A Berishvili, Ekaterine %A Bock, Christoph %A Kubicek, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Single-cell Transcriptomes Reveal Characteristic Features of Human Pancreatic Islet Cell Types : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-4243-A %R 10.15252/embr.201540946 %7 2015-12-21 %D 2016 %J EMBO Reports %O EMBO Rep. %V 17 %N 2 %& 178 %P 178 - 187 %I Published for EMBO by Oxford University Press %C Oxford, UK %@ false %U http://onlinelibrary.wiley.com/doi/10.15252/embr.201540946/pdf
227. List M, Alcaraz N, Dissing-Hansen M, Ditzel HJ, Mollenhauer J, Baumbach J: KeyPathwayMinerWeb: Online Multi-omics Network Enrichment. Nucleic Acids Research 2016, 44(W1/Web Server issue).
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@article{List:Baumbach2016, TITLE = {{KeyPathwayMinerWeb}: {O}nline Multi-omics Network Enrichment}, AUTHOR = {List, Markus and Alcaraz, Nicolas and Dissing-Hansen, Martin and Ditzel, Henrik J. and Mollenhauer, Jan and Baumbach, Jan}, LANGUAGE = {eng}, DOI = {10.1093/nar/gkw373}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nucleic Acids Research}, VOLUME = {44}, NUMBER = {W1/Web Server issue}, PAGES = {W98--W104}, }
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%0 Journal Article %A List, Markus %A Alcaraz, Nicolas %A Dissing-Hansen, Martin %A Ditzel, Henrik J. %A Mollenhauer, Jan %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T KeyPathwayMinerWeb: Online Multi-omics Network Enrichment : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-42F8-8 %R 10.1093/nar/gkw373 %2 PMC4987922 %7 2016 %D 2016 %* Review method: peer-reviewed %J Nucleic Acids Research %V 44 %N W1/Web Server issue %& W98 %P W98 - W104 %I Oxford University Press %C Oxford, UK
228. List M, Schmidt S, Christiansen H, Rehmsmeier M, Tan O, Mollenhauer J, Baumbach J: Comprehensive Analysis of High-throughput Screens with HiTSeekR. Nucleic Acids Research 2016, 44.
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@article{ListNAR2016, TITLE = {Comprehensive analysis of high-throughput screens with {HiTSeekR}}, AUTHOR = {List, Markus and Schmidt, Steffen and Christiansen, Helle and Rehmsmeier, Marc and Tan, Oihua and Mollenhauer, Jan and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {0301-5610}, DOI = {10.1093/nar/gkw554}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nucleic Acids Research}, VOLUME = {44}, NUMBER = {14}, PAGES = {6639--6648}, }
Endnote
%0 Journal Article %A List, Markus %A Schmidt, Steffen %A Christiansen, Helle %A Rehmsmeier, Marc %A Tan, Oihua %A Mollenhauer, Jan %A Baumbach, Jan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comprehensive Analysis of High-throughput Screens with HiTSeekR : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-4666-3 %R 10.1093/nar/gkw554 %7 2016 %D 2016 %J Nucleic Acids Research %O Nucleic Acids Res. %V 44 %N 14 %& 6639 %P 6639 - 6648 %@ false
229. Lüssem H: Identifying Structural Variants Using Variant Graphs. Universität des Saarlandes; 2016.
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@mastersthesis{LuessemBachelor2016, TITLE = {Identifying Structural Variants Using Variant Graphs}, AUTHOR = {L{\"u}ssem, Helene}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A L&#252;ssem, Helene %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identifying Structural Variants Using Variant Graphs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-480F-A %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V bachelor %9 bachelor
230. Magiorkinis G, Angelis K, Mamais I, Katzourakis A, Hatzakis A, Albert J, Lawyer G, Hamouda O, Struck D, Vercauteren J, Wensing A, Alexiev I, Åsjö B, Balotta C, Gomes P, Camacho RJ, Coughlan S, Griskevicius A, Grossman Z, Horban A, Kostrikis LG, Lepej SJ, Liitsola K, Linka M, Nielsen C, Otelea D, Paredes R, Poljak M, Puchhammer-Stöckl E, Schmit JC, et al.: The Global Spread of HIV-1 Subtype B Epidemic. Infection, Genetics and Evolution 2016, 46.
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@article{Magiorkinis2016, TITLE = {The global spread of {HIV}-1 subtype {B} epidemic}, AUTHOR = {Magiorkinis, Gkikas and Angelis, Konstantinos and Mamais, Ioannis and Katzourakis, Aris and Hatzakis, Angelo and Albert, Jan and Lawyer, Glenn and Hamouda, Osamah and Struck, Daniel and Vercauteren, Jurgen and Wensing, Annemarie and Alexiev, Ivailo and {\AA}sj{\"o}, Birgitta and Balotta, Claudia and Gomes, Perp{\'e}tua and Camacho, Ricardo J. and Coughlan, Suzie and Griskevicius, Algirdas and Grossman, Zehava and Horban, Anders and Kostrikis, Leondios G. and Lepej, Snjezana J. and Liitsola, Kirsi and Linka, Marek and Nielsen, Claus and Otelea, Dan and Paredes, Roger and Poljak, Mario and Puchhammer-St{\"o}ckl, Elizabeth and Schmit, Jean Claude and S{\"o}nnerborg, Anders and Stanekov{\'a}, Danica and Stanojevic, Maja and Stylianou, Dora C. and Boucher, Charles A. B. and Nikolopoulos, Georgios and Vasylyeva, Tetyana and Friedman, Samuel R. and van de Vijver, David and Angarano, Gioacchino and Chaix, Marie-Laure and de Luca, Andrea and Korn, Klaus and Loveday, Clive and Soriano, Vincent and Yerly, Sabine and Zazzi, Mauricio and Vandamm, Anne-Mieke and Paraskevis, Dimitrios}, LANGUAGE = {eng}, DOI = {10.1016/j.meegid.2016.05.041}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Infection, Genetics and Evolution}, VOLUME = {46}, PAGES = {169--179}, }
Endnote
%0 Journal Article %A Magiorkinis, Gkikas %A Angelis, Konstantinos %A Mamais, Ioannis %A Katzourakis, Aris %A Hatzakis, Angelo %A Albert, Jan %A Lawyer, Glenn %A Hamouda, Osamah %A Struck, Daniel %A Vercauteren, Jurgen %A Wensing, Annemarie %A Alexiev, Ivailo %A &#197;sj&#246;, Birgitta %A Balotta, Claudia %A Gomes, Perp&#233;tua %A Camacho, Ricardo J. %A Coughlan, Suzie %A Griskevicius, Algirdas %A Grossman, Zehava %A Horban, Anders %A Kostrikis, Leondios G. %A Lepej, Snjezana J. %A Liitsola, Kirsi %A Linka, Marek %A Nielsen, Claus %A Otelea, Dan %A Paredes, Roger %A Poljak, Mario %A Puchhammer-St&#246;ckl, Elizabeth %A Schmit, Jean Claude %A S&#246;nnerborg, Anders %A Stanekov&#225;, Danica %A Stanojevic, Maja %A Stylianou, Dora C. %A Boucher, Charles A. B. %A Nikolopoulos, Georgios %A Vasylyeva, Tetyana %A Friedman, Samuel R. %A van de Vijver, David %A Angarano, Gioacchino %A Chaix, Marie-Laure %A de Luca, Andrea %A Korn, Klaus %A Loveday, Clive %A Soriano, Vincent %A Yerly, Sabine %A Zazzi, Mauricio %A Vandamm, Anne-Mieke %A Paraskevis, Dimitrios %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T The Global Spread of HIV-1 Subtype B Epidemic : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-2F82-8 %R 10.1016/j.meegid.2016.05.041 %7 2016 %D 2016 %J Infection, Genetics and Evolution %V 46 %& 169 %P 169 - 179 %I Elsevier %C Amsterdam
231. Malek M, Ibragimov R, Albrecht M, Baumbach J: CytoGEDEVO-global Alignment of Biological Networks with Cytoscape. Bioinformatics 2016, 32.
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@article{Malek2016, TITLE = {{CytoGEDEVO}-global alignment of biological networks with {Cytoscape}}, AUTHOR = {Malek, Maximilian and Ibragimov, Rashid and Albrecht, Mario and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btv732}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics}, VOLUME = {32}, NUMBER = {8}, PAGES = {1259--1261}, }
Endnote
%0 Journal Article %A Malek, Maximilian %A Ibragimov, Rashid %A Albrecht, Mario %A Baumbach, Jan %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T CytoGEDEVO-global Alignment of Biological Networks with Cytoscape : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-C477-9 %R 10.1093/bioinformatics/btv732 %7 2015-12-14 %D 2016 %J Bioinformatics %V 32 %N 8 %& 1259 %P 1259 - 1261 %I Oxford University Press %C Oxford %@ false
232. Martínez-Cardús A, Moran S, Musulen E, Moutinho C, Manzano JL, Martinez-Balibrea E, Tierno M, Élez E, Landolfi S, Lorden P, Arribas C, Müller F, Bock C, Tabernero J, Esteller M: Epigenetic Homogeneity Within Colorectal Tumors Predicts Shorter Relapse-Free and Overall Survival Times for Patients With Locoregional Cancer. Gastroenterology 2016, 151.
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@article{MartinezCardus:2016jd, TITLE = {Epigenetic Homogeneity Within Colorectal Tumors Predicts Shorter Relapse-Free and Overall Survival Times for Patients With Locoregional Cancer}, AUTHOR = {Mart{\'i}nez-Card{\'u}s, Anna and Moran, Sebastian and Musulen, Eva and Moutinho, C{\'a}tia and Manzano, Jose L. and Martinez-Balibrea, Eva and Tierno, Montserrat and {\'E}lez, Elena and Landolfi, Stefania and Lorden, Patricia and Arribas, Carles and M{\"u}ller, Fabian and Bock, Christoph and Tabernero, Josep and Esteller, Manel}, LANGUAGE = {eng}, ISSN = {0016-5085}, DOI = {10.1053/j.gastro.2016.08.001}, PUBLISHER = {W.B. Saunders}, ADDRESS = {Philadelphia, Pa}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Gastroenterology}, VOLUME = {151}, NUMBER = {5}, PAGES = {961--972}, }
Endnote
%0 Journal Article %A Mart&#237;nez-Card&#250;s, Anna %A Moran, Sebastian %A Musulen, Eva %A Moutinho, C&#225;tia %A Manzano, Jose L. %A Martinez-Balibrea, Eva %A Tierno, Montserrat %A &#201;lez, Elena %A Landolfi, Stefania %A Lorden, Patricia %A Arribas, Carles %A M&#252;ller, Fabian %A Bock, Christoph %A Tabernero, Josep %A Esteller, Manel %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Epigenetic Homogeneity Within Colorectal Tumors Predicts Shorter Relapse-Free and Overall Survival Times for Patients With Locoregional Cancer : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-20AF-B %R 10.1053/j.gastro.2016.08.001 %7 2016 %D 2016 %J Gastroenterology %O Gastroenterology %V 151 %N 5 %& 961 %P 961 - 972 %I W.B. Saunders %C Philadelphia, Pa %@ false
233. Mass E, Ballestero I, Farlik M, Halbritter F, Günther P, Crozet L, Jacome-Galarza CE, Händler K, Klughammer J, Kobayashi Y, Gomez-Perdiguero E, Schultze JL, Beyer M, Bock C, Geissman F: Specification of Tissue-resident Macrophages During Organogenesis. Science 2016, 353.
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@article{Mass2016, TITLE = {Specification of Tissue-resident Macrophages During Organogenesis}, AUTHOR = {Mass, Elvira and Ballestero, Ivan and Farlik, Matthias and Halbritter, Florian and G{\"u}nther, Patrick and Crozet, Lucile and Jacome-Galarza, Christian E. and H{\"a}ndler, Kristian and Klughammer, Johanna and Kobayashi, Yasuhiro and Gomez-Perdiguero, Elisa and Schultze, Joachim L. and Beyer, Marc and Bock, Christoph and Geissman, Frederic}, LANGUAGE = {eng}, ISSN = {0036-8075}, DOI = {10.1126/science.aaf4238}, PUBLISHER = {American Association for the Advancement of Science}, ADDRESS = {Washington, D.C.}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Science}, VOLUME = {353}, NUMBER = {6304}, EID = {aaf4238}, }
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%0 Journal Article %A Mass, Elvira %A Ballestero, Ivan %A Farlik, Matthias %A Halbritter, Florian %A G&#252;nther, Patrick %A Crozet, Lucile %A Jacome-Galarza, Christian E. %A H&#228;ndler, Kristian %A Klughammer, Johanna %A Kobayashi, Yasuhiro %A Gomez-Perdiguero, Elisa %A Schultze, Joachim L. %A Beyer, Marc %A Bock, Christoph %A Geissman, Frederic %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Specification of Tissue-resident Macrophages During Organogenesis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-62AE-3 %R 10.1126/science.aaf4238 %7 2016 %D 2016 %J Science %V 353 %N 6304 %Z sequence number: aaf4238 %I American Association for the Advancement of Science %C Washington, D.C. %@ false
234. Meyerheim M: Viral Haplotype Assembly from HIV Patient Data. Universität des Saarlandes; 2016.
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@mastersthesis{Meyerheim_MSc2016, TITLE = {Viral Haplotype Assembly from {HIV} Patient Data}, AUTHOR = {Meyerheim, Marcel}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
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%0 Thesis %A Meyerheim, Marcel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Viral Haplotype Assembly from HIV Patient Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-484C-D %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V master %9 master
235. Mueller SC, Backes C, Gress A, Baumgarten N, Kalinina OV, Moll A, Kohlbacher O, Meese E, Keller A: BALL-SNPgp -- From Genetic Variants Toward Computational Diagnostics. Bioinformatics 2016, 32.
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@article{MuellerBioinformatics2016, TITLE = {{BALL}-{SNPgp} -- From Genetic Variants Toward Computational Diagnostics}, AUTHOR = {Mueller, Sabine C. and Backes, Christina and Gress, Alexander and Baumgarten, Nina and Kalinina, Olga V. and Moll, Andreas and Kohlbacher, Oliver and Meese, Eckart and Keller, Andreas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw084}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics}, VOLUME = {32}, NUMBER = {12}, PAGES = {1888--1890}, }
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%0 Journal Article %A Mueller, Sabine C. %A Backes, Christina %A Gress, Alexander %A Baumgarten, Nina %A Kalinina, Olga V. %A Moll, Andreas %A Kohlbacher, Oliver %A Meese, Eckart %A Keller, Andreas %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T BALL-SNPgp -- From Genetic Variants Toward Computational Diagnostics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-1954-5 %R 10.1093/bioinformatics/btw084 %7 2016 %D 2016 %J Bioinformatics %V 32 %N 12 %& 1888 %P 1888 - 1890 %I Oxford University Press %C Oxford %@ false
236. Peiffer K-H, Sommer L, Susser S, Vermehren J, Herrmann E, Döring M, Dietz J, Perner D, Berkowski C, Zeuzem S, Sarrazin C: Interferon Lambda 4 Genotypes and Resistance-associated Variants in Patients Infected with Hepatitis C Virus Genotypes 1 and 3. Hepatology 2016, 63.
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@article{Pfeiffer2015, TITLE = {Interferon Lambda 4 Genotypes and Resistance-associated Variants in Patients Infected with Hepatitis {C} Virus Genotypes 1 and 3}, AUTHOR = {Peiffer, Kai-Henrik and Sommer, Lisa and Susser, Simone and Vermehren, Johannes and Herrmann, Eva and D{\"o}ring, Matthias and Dietz, Julia and Perner, Dany and Berkowski, Caterina and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {1527-3350}, DOI = {10.1002/hep.28255}, PUBLISHER = {Wiley}, ADDRESS = {New York, NY}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Hepatology}, VOLUME = {63}, NUMBER = {1}, PAGES = {63--73}, }
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%0 Journal Article %A Peiffer, Kai-Henrik %A Sommer, Lisa %A Susser, Simone %A Vermehren, Johannes %A Herrmann, Eva %A D&#246;ring, Matthias %A Dietz, Julia %A Perner, Dany %A Berkowski, Caterina %A Zeuzem, Stefan %A Sarrazin, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Interferon Lambda 4 Genotypes and Resistance-associated Variants in Patients Infected with Hepatitis C Virus Genotypes 1 and 3 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-1864-F %R 10.1002/hep.28255 %7 2015-11-25 %D 2016 %J Hepatology %V 63 %N 1 %& 63 %P 63 - 73 %I Wiley %C New York, NY %@ false
237. Pironti A: Improving and Validating Data-driven Genotypic Interpretation Systems for the Selection of Antiretroviral Therapies. Universität des Saarlandes; 2016.
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@phdthesis{Pirontiphd16, TITLE = {Improving and Validating Data-driven Genotypic Interpretation Systems for the Selection of Antiretroviral Therapies}, AUTHOR = {Pironti, Alejandro}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-67190}, DOI = {10.22028/D291-26681}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Pironti, Alejandro %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Improving and Validating Data-driven Genotypic Interpretation Systems for the Selection of Antiretroviral Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-30D5-5 %U urn:nbn:de:bsz:291-scidok-67190 %R 10.22028/D291-26681 %F OTHER: hdl:20.500.11880/26737 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %P x, 272 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2016/6719/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
238. Rendeiro AF, Schmidl C, Strefford JC, Walewska R, Davis Z, Farlik M, Oscier D, Bock C: Chromatin Accessibility Maps of Chronic Lymphocytic Leukaemia Identify Subtype-specific Epigenome Signatures and Transcription Regulatory networks. Nature Communications 2016, 7.
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@article{Rendeiro2016, TITLE = {Chromatin Accessibility Maps of Chronic Lymphocytic Leukaemia Identify Subtype-specific Epigenome Signatures and Transcription Regulatory networks}, AUTHOR = {Rendeiro, Andr{\'e} F. and Schmidl, Christian and Strefford, Jonathan C. and Walewska, Renata and Davis, Zadie and Farlik, Matthias and Oscier, David and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/ncomms11938}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Nature Communications}, VOLUME = {7}, EID = {11938}, }
Endnote
%0 Journal Article %A Rendeiro, Andr&#233; F. %A Schmidl, Christian %A Strefford, Jonathan C. %A Walewska, Renata %A Davis, Zadie %A Farlik, Matthias %A Oscier, David %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Chromatin Accessibility Maps of Chronic Lymphocytic Leukaemia Identify Subtype-specific Epigenome Signatures and Transcription Regulatory networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-133F-B %R 10.1038/ncomms11938 %7 2016 %D 2016 %J Nature Communications %O Nat. Commun. %V 7 %Z sequence number: 11938 %I Nature Publishing Group %C London %@ false
239. Rommes B: Genome-Wide Association Studies on Simulated Bacterial Genomes. Universität des Saarlandes; 2016.
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@mastersthesis{RommesBachelor2016, TITLE = {Genome-Wide Association Studies on Simulated Bacterial Genomes}, AUTHOR = {Rommes, Basile}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Rommes, Basile %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genome-Wide Association Studies on Simulated Bacterial Genomes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4807-9 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V bachelor %9 bachelor
240. Scheid JF, Horwitz JA, Bar-On Y, Kreider EF, Lu C-L, Lorenzi JCC, Feldmann A, Braunschweig M, Nogueira L, Oliveira T, Shimeliovich I, Patel R, Burke L, Cohen YZ, Hadrigan S, Settler A, Witmer-Pack M, West AP, Juelg B, Keler T, Hawthorne T, Zingman B, Gulick RM, Pfeifer N, Learn GH, Seaman MS, Bjorkman PJ, Klein F, Schlesinger SJ, Walker BD, et al.: HIV-1 Antibody 3BNC117 Suppresses Viral Rebound in Humans During Treatment Interruption. Nature 2016, 535.
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@article{Scheid2016, TITLE = {{HIV}-1 antibody {3BNC117} suppresses viral rebound in humans during treatment interruption}, AUTHOR = {Scheid, Johannes F. and Horwitz, Joshua A. and Bar-On, Yotam and Kreider, Edward F. and Lu, Ching-Lan and Lorenzi, Julio C. C. and Feldmann, Anna and Braunschweig, Malte and Nogueira, Lilian and Oliveira, Thiago and Shimeliovich, Irina and Patel, Roshni and Burke, Leah and Cohen, Yehuda Z. and Hadrigan, Sonya and Settler, Allison and Witmer-Pack, Maggi and West, Anthony P. and Juelg, Boris and Keler, Tibor and Hawthorne, Thomas and Zingman, Barry and Gulick, Roy M. and Pfeifer, Nico and Learn, Gerald H. and Seaman, Michael S. and Bjorkman, Pamela J. and Klein, Florian and Schlesinger, Sarah J. and Walker, Bruce D. and Hahn, Beatrice H. and Nussenzweig, Michel C. and Caskey, Marina}, LANGUAGE = {eng}, ISSN = {0028-0836}, DOI = {10.1038/nature18929}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nature}, VOLUME = {535}, NUMBER = {7613}, PAGES = {556--560}, }
Endnote
%0 Journal Article %A Scheid, Johannes F. %A Horwitz, Joshua A. %A Bar-On, Yotam %A Kreider, Edward F. %A Lu, Ching-Lan %A Lorenzi, Julio C. C. %A Feldmann, Anna %A Braunschweig, Malte %A Nogueira, Lilian %A Oliveira, Thiago %A Shimeliovich, Irina %A Patel, Roshni %A Burke, Leah %A Cohen, Yehuda Z. %A Hadrigan, Sonya %A Settler, Allison %A Witmer-Pack, Maggi %A West, Anthony P. %A Juelg, Boris %A Keler, Tibor %A Hawthorne, Thomas %A Zingman, Barry %A Gulick, Roy M. %A Pfeifer, Nico %A Learn, Gerald H. %A Seaman, Michael S. %A Bjorkman, Pamela J. %A Klein, Florian %A Schlesinger, Sarah J. %A Walker, Bruce D. %A Hahn, Beatrice H. %A Nussenzweig, Michel C. %A Caskey, Marina %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T HIV-1 Antibody 3BNC117 Suppresses Viral Rebound in Humans During Treatment Interruption : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-8264-5 %R 10.1038/nature18929 %7 2016 %D 2016 %J Nature %O Nature %V 535 %N 7613 %& 556 %P 556 - 560 %I Nature Publishing Group %C London %@ false
241. Scherer M: Dissecting DNA Methylation in Human Aging. Universität des Saarlandes; 2016.
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@mastersthesis{SchererMaster2016, TITLE = {Dissecting {DNA} Methylation in Human Aging}, AUTHOR = {Scherer, Michael}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016}, }
Endnote
%0 Thesis %A Scherer, Michael %Y Lengauer, Thomas %A referee: Walter, J&#246;rn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Dissecting DNA Methylation in Human Aging : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-3B96-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %V master %9 master
242. Schoofs T, Klein F, Braunschweig M, Kreider EF, Feldmann A, Nogueira L, Oliveira T, Lorenzi JCC, Parrish EH, Learn GH, West AP, Bjorkman PJ, Schlesinger S, Seaman MS, Czartoski J, McElrath MJ, Pfeifer N, Hahn BH, Caskey M, Nussenzweig MC: HIV-1 Therapy with Monoclonal Antibody 3BNC117 Elicits Host Immune Responses Against HIV-1. Science 2016, 352.
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@article{Schoofs2016, TITLE = {{HIV}-1 Therapy with Monoclonal Antibody {3BNC117} Elicits Host Immune Responses Against {HIV}-1}, AUTHOR = {Schoofs, Till and Klein, Florian and Braunschweig, Malte and Kreider, Edward F. and Feldmann, Anna and Nogueira, Lilian and Oliveira, Thiago and Lorenzi, Julio C. C. and Parrish, Erica H. and Learn, Gerald H. and West, Anthony P. and Bjorkman, Pamela J. and Schlesinger, Sarah and Seaman, Michael S. and Czartoski, Julie and McElrath, M. Juliana and Pfeifer, Nico and Hahn, Beatrice H. and Caskey, Marina and Nussenzweig, Michel C.}, LANGUAGE = {eng}, ISSN = {0036-8075}, DOI = {10.1126/science.aaf0972}, PUBLISHER = {AAAS}, ADDRESS = {Washington, DC}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Science}, VOLUME = {352}, NUMBER = {6288}, PAGES = {997--1001}, }
Endnote
%0 Journal Article %A Schoofs, Till %A Klein, Florian %A Braunschweig, Malte %A Kreider, Edward F. %A Feldmann, Anna %A Nogueira, Lilian %A Oliveira, Thiago %A Lorenzi, Julio C. C. %A Parrish, Erica H. %A Learn, Gerald H. %A West, Anthony P. %A Bjorkman, Pamela J. %A Schlesinger, Sarah %A Seaman, Michael S. %A Czartoski, Julie %A McElrath, M. Juliana %A Pfeifer, Nico %A Hahn, Beatrice H. %A Caskey, Marina %A Nussenzweig, Michel C. %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T HIV-1 Therapy with Monoclonal Antibody 3BNC117 Elicits Host Immune Responses Against HIV-1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-D9BC-3 %R 10.1126/science.aaf0972 %7 2016 %D 2016 %J Science %V 352 %N 6288 %& 997 %P 997 - 1001 %I AAAS %C Washington, DC %@ false
243. Sdelci S, Lardeau C-H, Tallant C, Klepsch F, Klaiber B, Bennett J, Rathert P, Schuster M, Penz T, Fedorov O, Superti-Furga G, Bock C, Zuber J, Huber KVM, Knapp S, Müller S, Kubicek S: Mapping the Chemical Chromatin Reactivation Landscape Identifies BRD4-TAF1 Cross-talk. Nature Chemical Biology 2016, 12.
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@article{Sdelci2016, TITLE = {Mapping the Chemical Chromatin Reactivation Landscape Identifies {BRD4}-{TAF1} Cross-talk}, AUTHOR = {Sdelci, Sara and Lardeau, Charles-Hugues and Tallant, Cynthia and Klepsch, Freya and Klaiber, Bj{\"o}rn and Bennett, James and Rathert, Philipp and Schuster, Michael and Penz, Thomas and Fedorov, Oleg and Superti-Furga, Guilio and Bock, Christoph and Zuber, Johannes and Huber, Kilan V. M. and Knapp, Stefan and M{\"u}ller, Susanne and Kubicek, Stefan}, LANGUAGE = {eng}, ISSN = {1552-4450}, DOI = {10.1038/nchembio.2080}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Nature Chemical Biology}, VOLUME = {12}, PAGES = {504--510}, }
Endnote
%0 Journal Article %A Sdelci, Sara %A Lardeau, Charles-Hugues %A Tallant, Cynthia %A Klepsch, Freya %A Klaiber, Bj&#246;rn %A Bennett, James %A Rathert, Philipp %A Schuster, Michael %A Penz, Thomas %A Fedorov, Oleg %A Superti-Furga, Guilio %A Bock, Christoph %A Zuber, Johannes %A Huber, Kilan V. M. %A Knapp, Stefan %A M&#252;ller, Susanne %A Kubicek, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Mapping the Chemical Chromatin Reactivation Landscape Identifies BRD4-TAF1 Cross-talk : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-FC88-C %R 10.1038/nchembio.2080 %7 2016 %D 2016 %J Nature Chemical Biology %O Nat. Chem. Biol. %V 12 %& 504 %P 504 - 510 %I Nature Pub. Group %C New York, NY %@ false
244. Sethi R: Evaluation of Population-Based Haplotype Phasing Algorithms. Universität des Saarlandes; 2016.
Abstract
The valuable information in correct order of alleles on the haplotypes has many applications in GWAS studies and population genetics. A considerable number of computational and statistical algorithms have been developed for haplotype phasing. Historically, these algorithms were compared using the simulated population data with less dense markers which was inspired by genotype data from the HapMap project. Currently due to the advancement and reduction in cost of NGS, thousands of individuals across the world have been sequenced in 1000 Genomes Project. This has generated the genotype information of individuals from different ethnicity along with much denser genetic variations in them. Here, we have developed a scalable approach to assess state-of-the-art population-based haplotype phasing algorithms with benchmark data designed by simulation of the population (unrelated and related individuals), NGS pipeline and genotype calling. The most accurate algorithm was MVNCall (v1) for phase inference in unrelated individuals while DuoHMM approach of Shapeit (v2) had lowest switch error rate of 0.298 %(with true genotype likelihoods) in the related individuals. Moreover, we also conducted a comprehensive assessment of algorithms for the imputation of missing genotypes in the population with a reference panel. For this metrics, Impute2 (v2.3.2) and Beagle (v4.1) both performed competitively under different imputation scenarios and had genotype concordance rate of >99%. However, Impute2 was better in imputation of genotypes with minor allele frequency of <0.025 in the reference panel.
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@mastersthesis{SethiMaster2016, TITLE = {Evaluation of Population-Based Haplotype Phasing Algorithms}, AUTHOR = {Sethi, Riccha}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2016}, DATE = {2016-03-09}, ABSTRACT = {The valuable information in correct order of alleles on the haplotypes has many applications in GWAS studies and population genetics. A considerable number of computational and statistical algorithms have been developed for haplotype phasing. Historically, these algorithms were compared using the simulated population data with less dense markers which was inspired by genotype data from the HapMap project. Currently due to the advancement and reduction in cost of NGS, thousands of individuals across the world have been sequenced in 1000 Genomes Project. This has generated the genotype information of individuals from different ethnicity along with much denser genetic variations in them. Here, we have developed a scalable approach to assess state-of-the-art population-based haplotype phasing algorithms with benchmark data designed by simulation of the population (unrelated and related individuals), NGS pipeline and genotype calling. The most accurate algorithm was MVNCall (v1) for phase inference in unrelated individuals while DuoHMM approach of Shapeit (v2) had lowest switch error rate of 0.298 %(with true genotype likelihoods) in the related individuals. Moreover, we also conducted a comprehensive assessment of algorithms for the imputation of missing genotypes in the population with a reference panel. For this metrics, Impute2 (v2.3.2) and Beagle (v4.1) both performed competitively under different imputation scenarios and had genotype concordance rate of >99%. However, Impute2 was better in imputation of genotypes with minor allele frequency of <0.025 in the reference panel.}, }
Endnote
%0 Thesis %A Sethi, Riccha %Y Marschall, Tobias %A referee: Pfeifer, Nico %+ International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Evaluation of Population-Based Haplotype Phasing Algorithms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-41DA-7 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2016 %8 09.03.2016 %P 76 p. %V master %9 master %X The valuable information in correct order of alleles on the haplotypes has many applications in GWAS studies and population genetics. A considerable number of computational and statistical algorithms have been developed for haplotype phasing. Historically, these algorithms were compared using the simulated population data with less dense markers which was inspired by genotype data from the HapMap project. Currently due to the advancement and reduction in cost of NGS, thousands of individuals across the world have been sequenced in 1000 Genomes Project. This has generated the genotype information of individuals from different ethnicity along with much denser genetic variations in them. Here, we have developed a scalable approach to assess state-of-the-art population-based haplotype phasing algorithms with benchmark data designed by simulation of the population (unrelated and related individuals), NGS pipeline and genotype calling. The most accurate algorithm was MVNCall (v1) for phase inference in unrelated individuals while DuoHMM approach of Shapeit (v2) had lowest switch error rate of 0.298 %(with true genotype likelihoods) in the related individuals. Moreover, we also conducted a comprehensive assessment of algorithms for the imputation of missing genotypes in the population with a reference panel. For this metrics, Impute2 (v2.3.2) and Beagle (v4.1) both performed competitively under different imputation scenarios and had genotype concordance rate of >99%. However, Impute2 was better in imputation of genotypes with minor allele frequency of <0.025 in the reference panel.
245. Sheffield NC, Bock C: LOLA: Enrichment Analysis for Genomic Region Sets and Regulatory Elements in R and Bioconductor. Bioinformatics 2016, 32.
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@article{Sheffield2016, TITLE = {{LOLA}: enrichment analysis for genomic region sets and regulatory elements in {R} and {Bioconductor}}, AUTHOR = {Sheffield, Nathan C. and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btv612}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics}, VOLUME = {32}, NUMBER = {4}, PAGES = {587--589}, }
Endnote
%0 Journal Article %A Sheffield, Nathan C. %A Bock, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T LOLA: Enrichment Analysis for Genomic Region Sets and Regulatory Elements in R and Bioconductor : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-0530-B %R 10.1093/bioinformatics/btv612 %7 2015-10-27 %D 2016 %J Bioinformatics %V 32 %N 4 %& 587 %P 587 - 589 %I Oxford University Press %C Oxford %@ false
246. St. John EP, Simen BB, Turenchalk GS, Brayerman MS, Abhate I, Aerssens J, Bouchez O, Gabriel C, Izopet J, Meixenberger K, Giallonardo F, Metzner KJ, Schlapbach R, Paredes R, Sakwa J, Schmitz-Agheguian GG, Victor M, Thielen A, Däumer MP, Lengauer T: A Follow-Up of the Multicenter Collaborative Study on HIV-1 Drug Resistance and Tropism Testing Using 454 Ultra Deep Pyrosequencing. PLoS One 2016, 11.
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@article{Lengauer2016PLoSOne, TITLE = {A Follow-Up of the Multicenter Collaborative Study on {HIV}-1 Drug Resistance and Tropism Testing Using 454 Ultra Deep Pyrosequencing}, AUTHOR = {St. John, Elizabeth P. and Simen, Birgitte B. and Turenchalk, Gregory S. and Brayerman, Michael S. and Abhate, Isabella and Aerssens, Jeroen and Bouchez, Olivier and Gabriel, Christian and Izopet, Jacques and Meixenberger, Karolin and Giallonardo, Francesca and Metzner, Karin J. and Schlapbach, Ralph and Paredes, Roger and Sakwa, James and Schmitz-Agheguian, Gudrun G. and Victor, Martin and Thielen, Alexander and D{\"a}umer, Martin P. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0146687}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2016}, JOURNAL = {PLoS One}, VOLUME = {11}, NUMBER = {1}, EID = {e0146687}, }
Endnote
%0 Journal Article %A St. John, Elizabeth P. %A Simen, Birgitte B. %A Turenchalk, Gregory S. %A Brayerman, Michael S. %A Abhate, Isabella %A Aerssens, Jeroen %A Bouchez, Olivier %A Gabriel, Christian %A Izopet, Jacques %A Meixenberger, Karolin %A Giallonardo, Francesca %A Metzner, Karin J. %A Schlapbach, Ralph %A Paredes, Roger %A Sakwa, James %A Schmitz-Agheguian, Gudrun G. %A Victor, Martin %A Thielen, Alexander %A D&#228;umer, Martin P. %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Follow-Up of the Multicenter Collaborative Study on HIV-1 Drug Resistance and Tropism Testing Using 454 Ultra Deep Pyrosequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-432C-1 %R 10.1371/journal.pone.0146687 %7 2016 %D 2016 %J PLoS One %V 11 %N 1 %Z sequence number: e0146687 %I Public Library of Science %C San Francisco, CA %@ false
247. Trappe K, Marschall T, Renard BJ: Detecting Horizontal Gene Transfer by Mapping Sequencing Reads Across Species Boundaries. Bioinformatics (Proc ECCB 2016) 2016, 32.
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@article{TrappeBioinformatics_2016, TITLE = {Detecting Horizontal Gene Transfer by Mapping Sequencing Reads Across Species Boundaries}, AUTHOR = {Trappe, Kathrin and Marschall, Tobias and Renard, Bernhard J.}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw423}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics (Proc. ECCB)}, VOLUME = {32}, NUMBER = {17}, PAGES = {i595--i604}, BOOKTITLE = {ECCB 2016}, }
Endnote
%0 Journal Article %A Trappe, Kathrin %A Marschall, Tobias %A Renard, Bernhard J. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Detecting Horizontal Gene Transfer by Mapping Sequencing Reads Across Species Boundaries : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-8674-0 %R 10.1093/bioinformatics/btw423 %7 2016 %D 2016 %J Bioinformatics %V 32 %N 17 %& i595 %P i595 - i604 %I Oxford University Press %C Oxford %@ false %B ECCB 2016 %O ECCB 2016 The 15th European Conference on Computational Biology
248. Voitenko OS, Dhroso A, Feldmann A, Korkin D, Kalinina OV: Patterns of Amino Acid Conservation in Human and Animal Immunodeficiency Viruses. Bioinformatics (Proc ECCB 2016) 2016, 32.
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@article{VoitenkoBioinformatics2016, TITLE = {Patterns of Amino Acid Conservation in Human and Animal Immunodeficiency Viruses}, AUTHOR = {Voitenko, Olga S. and Dhroso, Andi and Feldmann, Anna and Korkin, Dmitry and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btw441}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Bioinformatics (Proc. ECCB)}, VOLUME = {32}, NUMBER = {17}, PAGES = {i685--i692}, BOOKTITLE = {ECCB 2016}, }
Endnote
%0 Journal Article %A Voitenko, Olga S. %A Dhroso, Andi %A Feldmann, Anna %A Korkin, Dmitry %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Patterns of Amino Acid Conservation in Human and Animal Immunodeficiency Viruses : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-861E-1 %R 10.1093/bioinformatics/btw441 %7 2016 %D 2016 %J Bioinformatics %V 32 %N 17 %& i685 %P i685 - i692 %I Oxford University Press %C Oxford %@ false %B ECCB 2016 %O ECCB 2016 The 15th European Conference on Computational Biology
249. Wallner S, Schröder C, Leitão E, Berulava T, Haak C, Beißer D, Rahmann S, Richter AS, Manke T, Bönisch U, Arrigoni L, Fröhler S, Klironomos F, Chen W, Rajewsky N, Müller F, Ebert P, Lengauer T, Barann M, Rosenstiel P, Gasparoni G, Nordström K, Walter J, Brors B, Zipprich G, Felder B, Klein-Hitpass L, Attenberger C, Schmitz G, Horsthemke B: Epigenetic Dynamics of Monocyte-to-Macrophage Differentiation. Epigenetics & Chromatin 2016, 9.
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@article{Wallner2016, TITLE = {Epigenetic Dynamics of Monocyte-to-Macrophage Differentiation}, AUTHOR = {Wallner, Stefan and Schr{\"o}der, Christopher and Leit{\~a}o, Elsa and Berulava, Tea and Haak, Claudia and Bei{\ss}er, Daniela and Rahmann, Sven and Richter, Andreas S. and Manke, Thomas and B{\"o}nisch, Ulrike and Arrigoni, Laura and Fr{\"o}hler, Sebastian and Klironomos, Filippos and Chen, Wei and Rajewsky, Nikolaus and M{\"u}ller, Fabian and Ebert, Peter and Lengauer, Thomas and Barann, Matthias and Rosenstiel, Philip and Gasparoni, Gilles and Nordstr{\"o}m, Karl and Walter, J{\"o}rn and Brors, Benedikt and Zipprich, Gideon and Felder, B{\"a}rbel and Klein-Hitpass, Ludger and Attenberger, Corinna and Schmitz, Gerd and Horsthemke, Bernhard}, LANGUAGE = {eng}, DOI = {10.1186/s13072-016-0079-z}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2016}, JOURNAL = {Epigenetics \& Chromatin}, VOLUME = {9}, EID = {33}, }
Endnote
%0 Journal Article %A Wallner, Stefan %A Schr&#246;der, Christopher %A Leit&#227;o, Elsa %A Berulava, Tea %A Haak, Claudia %A Bei&#223;er, Daniela %A Rahmann, Sven %A Richter, Andreas S. %A Manke, Thomas %A B&#246;nisch, Ulrike %A Arrigoni, Laura %A Fr&#246;hler, Sebastian %A Klironomos, Filippos %A Chen, Wei %A Rajewsky, Nikolaus %A M&#252;ller, Fabian %A Ebert, Peter %A Lengauer, Thomas %A Barann, Matthias %A Rosenstiel, Philip %A Gasparoni, Gilles %A Nordstr&#246;m, Karl %A Walter, J&#246;rn %A Brors, Benedikt %A Zipprich, Gideon %A Felder, B&#228;rbel %A Klein-Hitpass, Ludger %A Attenberger, Corinna %A Schmitz, Gerd %A Horsthemke, Bernhard %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Epigenetic Dynamics of Monocyte-to-Macrophage Differentiation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-1691-6 %R 10.1186/s13072-016-0079-z %7 2016 %D 2016 %J Epigenetics & Chromatin %V 9 %Z sequence number: 33 %I BioMed Central %C London
250. Welsch C, Haselow K, Gouttenoire J, Schneider M, Morikawa K, Martinez Y, Susser S, Sarrazin C, Zeuzem S, Antes I, Moradpour D, Lange CM: Hepatitis C Virus Variants Resistant to Macrocyclic NS3-4A Inhibitors Subvert IFN-β Induction by Efficient MAVS Cleavage. Journal of Hepatology 2016, 62.
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@article{WelschJoH2016, TITLE = {Hepatitis {C} Virus Variants Resistant to Macrocyclic {NS3}-{4A} Inhibitors Subvert {IFN}-$\beta$ Induction by Efficient {MAVS} Cleavage Efficient {MAVS} Cleavage}, AUTHOR = {Welsch, Christoph and Haselow, Katrin and Gouttenoire, J{\'e}r{\^o}me and Schneider, Markus and Morikawa, Kenichi and Martinez, Yolanda and Susser, Simone and Sarrazin, Christoph and Zeuzem, Stefan and Antes, Iris and Moradpour, Darius and Lange, Christian M.}, LANGUAGE = {eng}, ISSN = {0168-8278}, DOI = {10.1016/j.jhep.2014.11.009}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2016}, DATE = {2016}, JOURNAL = {Journal of Hepatology}, VOLUME = {62}, NUMBER = {4}, PAGES = {779--784}, }
Endnote
%0 Journal Article %A Welsch, Christoph %A Haselow, Katrin %A Gouttenoire, J&#233;r&#244;me %A Schneider, Markus %A Morikawa, Kenichi %A Martinez, Yolanda %A Susser, Simone %A Sarrazin, Christoph %A Zeuzem, Stefan %A Antes, Iris %A Moradpour, Darius %A Lange, Christian M. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Hepatitis C Virus Variants Resistant to Macrocyclic NS3-4A Inhibitors Subvert IFN-&#946; Induction by Efficient MAVS Cleavage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-433B-0 %R 10.1016/j.jhep.2014.11.009 %7 2016 %D 2016 %J Journal of Hepatology %O J. Hepatol. %V 62 %N 4 %& 779 %P 779 - 784 %I Elsevier %C Amsterdam %@ false
2015
251. Abreu VAC, Almeida S, Tiwari S, Hassan SS, Mariano D, Silva A, Baumbach J, Azevedo V, Röttger R: CMRegNet -- An Interspecies Reference Database for Corynebacterial and Mycobacterial Regulatory Networks. BMC Genomics 2015, 16.
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@article{AbreuBMCGenomics2015, TITLE = {{CMRegNet} -- An Interspecies Reference Database for Corynebacterial and Mycobacterial Regulatory Networks}, AUTHOR = {Abreu, Vinicius A. C. and Almeida, Sintia and Tiwari, Sandeep and Hassan, Syed Shah and Mariano, Diego and Silva, Artur and Baumbach, Jan and Azevedo, Vasco and R{\"o}ttger, Richard}, LANGUAGE = {eng}, ISSN = {1471-2164}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4464113&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/s12864-015-1631-0}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2015}, JOURNAL = {BMC Genomics}, VOLUME = {16}, NUMBER = {1}, EID = {452}, }
Endnote
%0 Journal Article %A Abreu, Vinicius A. C. %A Almeida, Sintia %A Tiwari, Sandeep %A Hassan, Syed Shah %A Mariano, Diego %A Silva, Artur %A Baumbach, Jan %A Azevedo, Vasco %A R&#246;ttger, Richard %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T CMRegNet -- An Interspecies Reference Database for Corynebacterial and Mycobacterial Regulatory Networks : %! {CMRegNet} -- An Interspecies Reference Database for Corynebacterial and Mycobacterial Regulatory Networks %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-ACBB-E %F OTHER: accessionPMC4464113 %F OTHER: pmcidPMC4464113 %F OTHER: pmc-uid4464113 %F OTHER: publisher-id1631 %R 10.1186/s12864-015-1631-0 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4464113&tool=pmcentrez&rendertype=abstract %7 2015-06-11 %D 2015 %8 11.06.2015 %J BMC Genomics %V 16 %N 1 %Z sequence number: 452 %I BioMed Central %C London %@ false
252. Ahmad M, Helms V, Lengauer T, Kalinina OV: Enthalpy-entropy Compensation upon Molecular Conformational Changes. Journal of Chemical Theory and Computation 2015, 11.
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@article{Lengauer2015, TITLE = {Enthalpy-entropy Compensation upon Molecular Conformational Changes}, AUTHOR = {Ahmad, Mazen and Helms, Volkhard and Lengauer, Thomas and Kalinina, Olga V.}, LANGUAGE = {eng}, DOI = {10.1021/ct501161t}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Journal of Chemical Theory and Computation}, VOLUME = {11}, NUMBER = {4}, PAGES = {1410--1418}, }
Endnote
%0 Journal Article %A Ahmad, Mazen %A Helms, Volkhard %A Lengauer, Thomas %A Kalinina, Olga V. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Enthalpy-entropy Compensation upon Molecular Conformational Changes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E34E-B %R 10.1021/ct501161t %7 2015 %D 2015 %J Journal of Chemical Theory and Computation %O J. Chem. Theory Comput. %V 11 %N 4 %& 1410 %P 1410 - 1418 %I American Chemical Society %C Washington, D.C.
253. Ahmad M, Helms V, Lengauer T, Kalinina OV: How Molecular Conformational Changes Affect Changes in Free Energy. Journal of Chemical Theory and Computation 2015, 11.
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@article{AhmadJCTC2015, TITLE = {How Molecular Conformational Changes Affect Changes in Free Energy}, AUTHOR = {Ahmad, Mazen and Helms, Volkhard and Lengauer, Thomas and Kalinina, Olga V.}, LANGUAGE = {eng}, DOI = {10.1021/acs.jctc.5b00235}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Journal of Chemical Theory and Computation}, VOLUME = {11}, NUMBER = {7}, PAGES = {2945--2957}, }
Endnote
%0 Journal Article %A Ahmad, Mazen %A Helms, Volkhard %A Lengauer, Thomas %A Kalinina, Olga V. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T How Molecular Conformational Changes Affect Changes in Free Energy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-4CAF-6 %R 10.1021/acs.jctc.5b00235 %7 2015 %D 2015 %J Journal of Chemical Theory and Computation %O J. Chem. Theory Comput. %V 11 %N 7 %& 2945 %P 2945 - 2957 %I American Chemical Society %C Washington, D.C.
254. Aldinucci M, Bracciali A, Marschall T, Patterson M, Pisanti N, Torquati M: High-Performance Haplotype Assembly. In Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2014). Springer; 2015. [Lecture Notes in Computer Science, vol. 8623]
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@inproceedings{MarschallLNBI15, TITLE = {High-Performance Haplotype Assembly}, AUTHOR = {Aldinucci, Marco and Bracciali, Andrea and Marschall, Tobias and Patterson, Murray and Pisanti, Nadia and Torquati, Massimo}, LANGUAGE = {eng}, ISBN = {978-3-319-24461-7}, DOI = {10.1007/978-3-319-24462-4_21}, PUBLISHER = {Springer}, YEAR = {2014}, DATE = {2015}, BOOKTITLE = {Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2014)}, PAGES = {245--258}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {8623}, ADDRESS = {Cambridge, UK}, }
Endnote
%0 Conference Proceedings %A Aldinucci, Marco %A Bracciali, Andrea %A Marschall, Tobias %A Patterson, Murray %A Pisanti, Nadia %A Torquati, Massimo %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T High-Performance Haplotype Assembly : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-5D10-1 %R 10.1007/978-3-319-24462-4_21 %D 2015 %B 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics %Z date of event: 2014-06-26 - 2014-06-28 %C Cambridge, UK %B Computational Intelligence Methods for Bioinformatics and Biostatistics %P 245 - 258 %I Springer %@ 978-3-319-24461-7 %B Lecture Notes in Computer Science %N 8623
255. Amabile G, Di Ruscio A, Müller F, Welner RS, Yang H, Ebralidze AK, Zhong H, Levantini E, Qi L, Martinelli G, Brummelkamp T, Le Beau MM, Figueroa ME, Bock C, Tenen DG: Dissecting the Role of Aberrant DNA Methylation in Human Leukaemia. Nature Communications 2015, 6.
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@article{MullerBock2015, TITLE = {Dissecting the Role of Aberrant {DNA} Methylation in Human Leukaemia}, AUTHOR = {Amabile, Giovanni and Di Ruscio, Annalisa and M{\"u}ller, Fabian and Welner, Robert S. and Yang, Henry and Ebralidze, Alexander K. and Zhong, Hong and Levantini, Elena and Qi, Lihua and Martinelli, Giovanni and Brummelkamp, Thijn and Le Beau, Michelle M. and Figueroa, Maria E. and Bock, Christoph and Tenen, Daniel G.}, LANGUAGE = {eng}, ISSN = {2041-1723}, DOI = {10.1038/ncomms8091}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Nature Communications}, VOLUME = {6}, EID = {7091}, }
Endnote
%0 Journal Article %A Amabile, Giovanni %A Di Ruscio, Annalisa %A M&#252;ller, Fabian %A Welner, Robert S. %A Yang, Henry %A Ebralidze, Alexander K. %A Zhong, Hong %A Levantini, Elena %A Qi, Lihua %A Martinelli, Giovanni %A Brummelkamp, Thijn %A Le Beau, Michelle M. %A Figueroa, Maria E. %A Bock, Christoph %A Tenen, Daniel G. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Dissecting the Role of Aberrant DNA Methylation in Human Leukaemia : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-AD30-B %R 10.1038/ncomms8091 %7 2015 %D 2015 %J Nature Communications %O Nat. Commun. %V 6 %Z sequence number: 7091 %I Nature Publishing Group %C London %@ false
256. Andreassen OA, Desikan RS, Wang Y, Thompson WK, Schork AJ, Zuber V, Doncheva NT, Ellinghaus E, Albrecht M, Mattingsdal M, Franke A, Lie BA, Mills I, Aukrust P, McEvoy LK, Djurovic S, Karlsen TH, Dale AM: Abundant Genetic Overlap between Blood Lipids and Immune-Mediated Diseases Indicates Shared Molecular Genetic Mechanisms. PLoS ONE 2015, 10.
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@article{Andreassen2015, TITLE = {Abundant Genetic Overlap between Blood Lipids and Immune-Mediated Diseases Indicates Shared Molecular Genetic Mechanisms}, AUTHOR = {Andreassen, Ole A. and Desikan, Rahul S. and Wang, Yunpeng and Thompson, Wesley K. and Schork, Andrew J. and Zuber, Verena and Doncheva, Nadezhda Tsankova and Ellinghaus, Eva and Albrecht, Mario and Mattingsdal, Morten and Franke, Andre and Lie, Benedicte A. and Mills, Ian and Aukrust, P{\aa}l and McEvoy, Linda K. and Djurovic, Srdjan and Karlsen, Tom H. and Dale, Anders M.}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4390360&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pone.0123057}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2015}, JOURNAL = {PLoS ONE}, VOLUME = {10}, NUMBER = {4}, EID = {e0123057}, }
Endnote
%0 Journal Article %A Andreassen, Ole A. %A Desikan, Rahul S. %A Wang, Yunpeng %A Thompson, Wesley K. %A Schork, Andrew J. %A Zuber, Verena %A Doncheva, Nadezhda Tsankova %A Ellinghaus, Eva %A Albrecht, Mario %A Mattingsdal, Morten %A Franke, Andre %A Lie, Benedicte A. %A Mills, Ian %A Aukrust, P&#229;l %A McEvoy, Linda K. %A Djurovic, Srdjan %A Karlsen, Tom H. %A Dale, Anders M. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Abundant Genetic Overlap between Blood Lipids and Immune-Mediated Diseases Indicates Shared Molecular Genetic Mechanisms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-3AB7-1 %2 PMC4390360 %F OTHER: pmc-uid4390360 %R 10.1371/journal.pone.0123057 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4390360&tool=pmcentrez&rendertype=abstract %7 2015-04-08 %D 2015 %8 08.04.2015 %J PLoS ONE %V 10 %N 4 %Z sequence number: e0123057 %I Public Library of Science %C San Francisco, CA %@ false
257. Baumbach J, Guo J, Ibragimov R: Covering Tree with Stars. Journal of Combinatorial Optimization 2015, 29.
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@article{BaumbachJCombOptim2015, TITLE = {Covering Tree with Stars}, AUTHOR = {Baumbach, Jan and Guo, Jiong and Ibragimov, Rashid}, LANGUAGE = {eng}, ISSN = {1382-6905}, DOI = {10.1007/s10878-013-9692-y}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Journal of Combinatorial Optimization}, VOLUME = {29}, NUMBER = {1}, PAGES = {141--152}, }
Endnote
%0 Journal Article %A Baumbach, Jan %A Guo, Jiong %A Ibragimov, Rashid %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Covering Tree with Stars : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-BEEF-7 %R 10.1007/s10878-013-9692-y %7 2015 %D 2015 %J Journal of Combinatorial Optimization %V 29 %N 1 %& 141 %P 141 - 152 %I Springer %C New York, NY %@ false
258. Bellitto T, Marschall T, Schönhuth A, Klau GW: Next Generation Cluster Editing. PeerJ PrePrints (Proc GCB 2015) 2015, 3.
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@article{MarschallPeer15, TITLE = {Next Generation Cluster Editing}, AUTHOR = {Bellitto, Thomas and Marschall, Tobias and Sch{\"o}nhuth, Alexander and Klau, Gunnar W.}, LANGUAGE = {eng}, DOI = {10.7287/peerj.preprints.1301v1}, YEAR = {2015}, JOURNAL = {PeerJ PrePrints (Proc. GCB)}, VOLUME = {3}, EID = {e1599}, BOOKTITLE = {German Conference on Bioinformatics (GCB 2015)}, }
Endnote
%0 Journal Article %A Bellitto, Thomas %A Marschall, Tobias %A Sch&#246;nhuth, Alexander %A Klau, Gunnar W. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Next Generation Cluster Editing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-5E4D-6 %R 10.7287/peerj.preprints.1301v1 %7 2015-08-13 %D 2015 %8 13.08.2015 %* Review method: peer-reviewed %J PeerJ PrePrints %O GCB 2015 %V 3 %Z sequence number: e1599 %B German Conference on Bioinformatics %O GCB 2015 Dortmund, Germany, 27.09. - 30.09.2015
259. Bock C, Bortolussi L, Krüger T, Mikeev L, Wolf V: Model-based Whole-genome Analysis of DNA Methylation Fidelity. In Hybrid Systems Biology (HSB 2015). Springer; 2015. [Lecture Notes in Bioinformatics, vol. 9271]
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@inproceedings{BockHSB2015, TITLE = {Model-Based Whole-Genome Analysis of {DNA} Methylation Fidelity}, AUTHOR = {Bock, Christoph and Bortolussi, Luca and Kr{\"u}ger, Thilo and Mikeev, Linar and Wolf, Verena}, LANGUAGE = {eng}, ISBN = {978-3-319-26915-3}, DOI = {10.1007/978-3-319-26916-0_8}, PUBLISHER = {Springer}, YEAR = {2015}, DATE = {2015}, BOOKTITLE = {Hybrid Systems Biology (HSB 2015)}, EDITOR = {Abate, Alessandro and {\v S}afr{\'a}nek, David}, PAGES = {141--155}, SERIES = {Lecture Notes in Bioinformatics}, VOLUME = {9271}, ADDRESS = {Madrid, Spain}, }
Endnote
%0 Conference Proceedings %A Bock, Christoph %A Bortolussi, Luca %A Kr&#252;ger, Thilo %A Mikeev, Linar %A Wolf, Verena %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Model-based Whole-genome Analysis of DNA Methylation Fidelity : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-07ED-6 %R 10.1007/978-3-319-26916-0_8 %D 2015 %B 4th International Workshop on Hybrid Systems Biology %Z date of event: 2015-09-04 - 2015-09-05 %C Madrid, Spain %B Hybrid Systems Biology %E Abate, Alessandro; &#352;afr&#225;nek , David %P 141 - 155 %I Springer %@ 978-3-319-26915-3 %B Lecture Notes in Bioinformatics %N 9271
260. Caprari S, Metzler S, Lengauer T, Kalinina OV: Sequence and Structure Analysis of Distantly-Related Viruses Reveals Extensive Gene Transfer between Viruses and Hosts and among Viruses. Viruses 2015, 7.
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@article{Caprari2015, TITLE = {Sequence and Structure Analysis of Distantly-Related Viruses Reveals Extensive Gene Transfer between Viruses and Hosts and among Viruses}, AUTHOR = {Caprari, Silvia and Metzler, Saskia and Lengauer, Thomas and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {1999-4915}, DOI = {10.3390/v7102882}, PUBLISHER = {MDPI}, ADDRESS = {Basel}, YEAR = {2015}, JOURNAL = {Viruses}, VOLUME = {7}, NUMBER = {10}, PAGES = {5388--5409}, }
Endnote
%0 Journal Article %A Caprari, Silvia %A Metzler, Saskia %A Lengauer, Thomas %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Sequence and Structure Analysis of Distantly-Related Viruses Reveals Extensive Gene Transfer between Viruses and Hosts and among Viruses : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-1A7E-5 %R 10.3390/v7102882 %2 PMC4632390 %7 2015 %D 2015 %J Viruses %V 7 %N 10 %& 5388 %P 5388 - 5409 %I MDPI %C Basel %@ false %U http://www.mdpi.com/1999-4915/7/10/2882
261. Charpentier C, Camacho R, Ruelle J, Eberle J, Gürtler L, Pironti A, Stürmer M, Brun-Vézinet F, Kaiser R, Descamps D, Obermeier M: HIV-2EU -- Supporting Standardized HIV-2 Drug-Resistance Interpretation in Europe: An Update. Clinical Infectious Diseases 2015, 61.
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@article{Charpentier2015, TITLE = {{HIV}-{2EU} -- {S}upporting Standardized {HIV}-2 Drug-Resistance Interpretation in {E}urope: {A}n Update}, AUTHOR = {Charpentier, Charlotte and Camacho, Ricardo and Ruelle, Jean and Eberle, Josef and G{\"u}rtler, Lutz and Pironti, Alejandro and St{\"u}rmer, Martin and Brun-V{\'e}zinet, Fran{\c c}oise and Kaiser, Rolf and Descamps, Diane and Obermeier, Martin}, LANGUAGE = {eng}, ISSN = {1058-4838}, DOI = {10.1093/cid/civ572}, PUBLISHER = {The University of Chicago Press}, ADDRESS = {Chicago, IL}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Clinical Infectious Diseases}, VOLUME = {61}, NUMBER = {8}, PAGES = {1347--1349}, }
Endnote
%0 Journal Article %A Charpentier, Charlotte %A Camacho, Ricardo %A Ruelle, Jean %A Eberle, Josef %A G&#252;rtler, Lutz %A Pironti, Alejandro %A St&#252;rmer, Martin %A Brun-V&#233;zinet, Fran&#231;oise %A Kaiser, Rolf %A Descamps, Diane %A Obermeier, Martin %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T HIV-2EU -- Supporting Standardized HIV-2 Drug-Resistance Interpretation in Europe: An Update : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-F6CC-9 %R 10.1093/cid/civ572 %7 2015-07-17 %D 2015 %J Clinical Infectious Diseases %V 61 %N 8 %& 1347 %P 1347 - 1349 %I The University of Chicago Press %C Chicago, IL %@ false
262. Cheaib M, Dehghani Amirabad A, Nordström KJV, Schulz MH, Simon M: Epigenetic regulation of serotype expression antagonizes transcriptome dynamics in Paramecium tetraurelia. DNA Research 2015, 22.
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@article{Cheaib2015, TITLE = {Epigenetic regulation of serotype expression antagonizes transcriptome dynamics in {Paramecium} tetraurelia}, AUTHOR = {Cheaib, Miriam and Dehghani Amirabad, Azim and Nordstr{\"o}m, Karl J. V. and Schulz, Marcel Holger and Simon, Martin}, LANGUAGE = {eng}, ISSN = {1340-2838; 1756-1663}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4535620&tool=pmcentrez&rendertype=abstract}, DOI = {10.1093/dnares/dsv014}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2015}, DATE = {2015-08}, JOURNAL = {DNA Research}, VOLUME = {22}, NUMBER = {4}, PAGES = {293--305}, }
Endnote
%0 Journal Article %A Cheaib, Miriam %A Dehghani Amirabad, Azim %A Nordstr&#246;m, Karl J. V. %A Schulz, Marcel Holger %A Simon, Martin %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Epigenetic regulation of serotype expression antagonizes transcriptome dynamics in Paramecium tetraurelia : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-52A5-D %F OTHER: accessionPMC4535620 %F OTHER: pmcidPMC4535620 %F OTHER: pmc-uid4535620 %R 10.1093/dnares/dsv014 %F OTHER: publisher-iddsv014 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4535620&tool=pmcentrez&rendertype=abstract %2 PMC4535620 %7 2015-07-31 %D 2015 %K heat-shock %J DNA Research %V 22 %N 4 %& 293 %P 293 - 305 %I Oxford University Press %C Oxford %@ false
263. Cijvat R, Manegold S, Kersten M, Klau GW, Schönhuth A, Marschall T, Zhang Y: Genome Sequence Analysis with MonetDB. Datenbank-Spektrum 2015, 15.
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@article{MarschallMonetDB15, TITLE = {Genome Sequence Analysis with {M}onet{DB}}, AUTHOR = {Cijvat, Robin and Manegold, Stefan and Kersten, Martin and Klau, Gunnar W. and Sch{\"o}nhuth, Alexander and Marschall, Tobias and Zhang, Ying}, LANGUAGE = {eng}, ISSN = {1618-2162}, DOI = {10.1007/s13222-015-0198-x}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Datenbank-Spektrum}, VOLUME = {15}, NUMBER = {3}, PAGES = {185--191}, }
Endnote
%0 Journal Article %A Cijvat, Robin %A Manegold, Stefan %A Kersten, Martin %A Klau, Gunnar W. %A Sch&#246;nhuth, Alexander %A Marschall, Tobias %A Zhang, Ying %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Genome Sequence Analysis with MonetDB : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-5B50-E %R 10.1007/s13222-015-0198-x %7 2015-10-12 %D 2015 %J Datenbank-Spektrum %V 15 %N 3 %& 185 %P 185 - 191 %I Springer %C Berlin %@ false
264. Cijvat R, Manegold S, Kersten M, Klau GW, Schönhuth A, Marschall T, Zhang Y: Genome Sequence Analysis with MonetDB: A Case Study on Ebola virus diversity. In Joint Workshop on Data Management for Science (DMS 2015); 2015.
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@inproceedings{CijvatDMforLS2015, TITLE = {Genome Sequence Analysis with {MonetDB}: A Case Study on {Ebola} virus diversity}, AUTHOR = {Cijvat, Robin and Manegold, Stefan and Kersten, Martin and Klau, Gunnar W. and Sch{\"o}nhuth, Alexander and Marschall, Tobias and Zhang, Ying}, LANGUAGE = {eng}, YEAR = {2015}, BOOKTITLE = {Joint Workshop on Data Management for Science (DMS 2015)}, EDITOR = {Dorok, Sebastian and K{\"o}nig-Ries, Brigitta and Lange, Matthias and Rahm, Erhard and Saake, Gunter and Seeger, Bernhard}, ADDRESS = {Hamburg, Germany}, }
Endnote
%0 Conference Proceedings %A Cijvat, Robin %A Manegold, Stefan %A Kersten, Martin %A Klau, Gunnar W. %A Sch&#246;nhuth, Alexander %A Marschall, Tobias %A Zhang, Ying %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Genome Sequence Analysis with MonetDB: A Case Study on Ebola virus diversity : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-5E85-6 %D 2015 %B Joint Workshop on Data Management for Science %Z date of event: 2015-03-03 - 2015-03-03 %C Hamburg, Germany %B Joint Workshop on Data Management for Science %E Dorok, Sebastian; K&#246;nig-Ries, Brigitta; Lange, Matthias; Rahm, Erhard; Saake, Gunter; Seeger, Bernhard %U http://www.btw-2015.de/res/proceedings/Workshops/DMS/Cijvat-Genome_sequence_analysis_wi.pdf
265. Deuber D: Visualisierung, Vergleich und Analyse genetischer Variationen. Universität des Saarlandes; 2015.
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@mastersthesis{DeuberBachelor2015, TITLE = {{Visualisierung, Vergleich und Analyse genetischer Variationen}}, AUTHOR = {Deuber, Dominic}, LANGUAGE = {deu}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015-07-31}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Deuber, Dominic %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Visualisierung, Vergleich und Analyse genetischer Variationen : %G deu %U http://hdl.handle.net/11858/00-001M-0000-002C-47E5-E %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %8 31.07.2015 %V bachelor %9 bachelor
266. Dietzen M, Kalinina OV, Taškova K, Kneissl B, Hildebrandt A-K, Jaenicke E, Decker H, Lengauer T, Hildebrandt A: Large Oligomeric Complex Structures Can Be Computationally Assembled by Efficiently Combining Docked Interfaces. Proteins: Structure, Function, and Bioinformatics 2015, 83.
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@article{Dietzenetal2015, TITLE = {Large Oligomeric Complex Structures Can Be Computationally Assembled by Efficiently Combining Docked Interfaces}, AUTHOR = {Dietzen, Matthias and Kalinina, Olga V. and Ta{\v s}kova, Katerina and Kneissl, Benny and Hildebrandt, Anna-Katharina and Jaenicke, Elmar and Decker, Heinz and Lengauer, Thomas and Hildebrandt, Andreas}, LANGUAGE = {eng}, ISSN = {0887-3585}, DOI = {10.1002/prot.24873}, PUBLISHER = {John Wiley \& Sons}, ADDRESS = {New York, NY}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Proteins: Structure, Function, and Bioinformatics}, VOLUME = {83}, NUMBER = {10}, PAGES = {1887--1899}, }
Endnote
%0 Journal Article %A Dietzen, Matthias %A Kalinina, Olga V. %A Ta&#353;kova, Katerina %A Kneissl, Benny %A Hildebrandt, Anna-Katharina %A Jaenicke, Elmar %A Decker, Heinz %A Lengauer, Thomas %A Hildebrandt, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Large Oligomeric Complex Structures Can Be Computationally Assembled by Efficiently Combining Docked Interfaces : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-5273-E %R 10.1002/prot.24873 %7 2015 %D 2015 %J Proteins: Structure, Function, and Bioinformatics %V 83 %N 10 %& 1887 %P 1887 - 1899 %I John Wiley & Sons %C New York, NY %@ false
267. Döring M, Gasparoni G, Gries J, Nordström K, Lutsik P, Walter J, Pfeifer N: Identification and Analysis of Methylation Call Differences Between Bisulfite Microarray and Bisulfite Sequencing Data with Statistical Learning Techniques. BMC Bioinformatics (Proc ISCB 2014) 2015, 16(Suppl 3).
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@article{doering2015, TITLE = {Identification and Analysis of Methylation Call Differences Between Bisulfite Microarray and Bisulfite Sequencing Data with Statistical Learning Techniques}, AUTHOR = {D{\"o}ring, Matthias and Gasparoni, Gilles and Gries, Jasmin and Nordstr{\"o}m, Karl and Lutsik, Pavlo and Walter, J{\"o}rn and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://www.biomedcentral.com/1471-2105/16/S3/A7}, DOI = {10.1186/1471-2105-16-S3-A7}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2015}, CONTENTS = {Background Methods Results Conclusion}, JOURNAL = {BMC Bioinformatics (Proc. ISCB)}, VOLUME = {16}, NUMBER = {Suppl 3}, EID = {A7}, BOOKTITLE = {Highlights from the Third International Society for Computational Biology (ISCB) European Student Council Symposium 2014}, }
Endnote
%0 Journal Article %A D&#246;ring, Matthias %A Gasparoni, Gilles %A Gries, Jasmin %A Nordstr&#246;m, Karl %A Lutsik, Pavlo %A Walter, J&#246;rn %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Affiliation External Affiliation External Affiliation External Affiliation External Affiliation Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification and Analysis of Methylation Call Differences Between Bisulfite Microarray and Bisulfite Sequencing Data with Statistical Learning Techniques : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-C7F7-B %U http://www.biomedcentral.com/1471-2105/16/S3/A7 %R 10.1186/1471-2105-16-S3-A7 %7 2015-02-13 %D 2015 %8 13.02.2015 %Z Background Methods Results Conclusion %J BMC Bioinformatics %V 16 %N Suppl 3 %Z sequence number: A7 %I BioMed Central %C London %@ false %B Highlights from the Third International Society for Computational Biology (ISCB) European Student Council Symposium 2014 %O ISCB 2014
268. Ebert P, Müller F, Nordström K, Lengauer T, Schulz MH: A General Concept for Consistent Documentation of Computational Analyses. Database: The Journal of Biological Databases and Curation 2015, 2015.
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@article{EbertDatabase2015, TITLE = {A General Concept for Consistent Documentation of Computational Analyses}, AUTHOR = {Ebert, Peter and M{\"u}ller, Fabian and Nordstr{\"o}m, Karl and Lengauer, Thomas and Schulz, Marcel Holger}, LANGUAGE = {eng}, ISSN = {1758-0463}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4460408&tool=pmcentrez&rendertype=abstract}, DOI = {10.1093/database/bav050}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2015}, JOURNAL = {Database: The Journal of Biological Databases and Curation}, VOLUME = {2015}, PAGES = {1--11}, EID = {bav050}, }
Endnote
%0 Journal Article %A Ebert, Peter %A M&#252;ller, Fabian %A Nordstr&#246;m, Karl %A Lengauer, Thomas %A Schulz, Marcel Holger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A General Concept for Consistent Documentation of Computational Analyses : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-BD04-8 %F OTHER: accessionPMC4460408 %F OTHER: pmcidPMC4460408 %F OTHER: pmc-uid4460408 %R 10.1093/database/bav050 %F OTHER: publisher-idbav050 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4460408&tool=pmcentrez&rendertype=abstract %7 2015-06-08 %D 2015 %8 08.06.2015 %J Database: The Journal of Biological Databases and Curation %O Database %V 2015 %& 1 %P 1 - 11 %Z sequence number: bav050 %I Oxford University Press %C Oxford, UK %@ false %U https://doi.org/10.1093/database/bav050
269. Ebert P, Bock C: Improving Reference Epigenome Catalogs by Computational Prediction. Nature Biotechnology 2015, 33.
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@article{Ebert2015, TITLE = {Improving Reference Epigenome Catalogs by Computational Prediction}, AUTHOR = {Ebert, Peter and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/nbt.3194}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {New York, NY}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Nature Biotechnology}, VOLUME = {33}, NUMBER = {4}, PAGES = {354--355}, }
Endnote
%0 Journal Article %A Ebert, Peter %A Bock, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improving Reference Epigenome Catalogs by Computational Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-C911-B %R 10.1038/nbt.3194 %7 2015-04-07 %D 2015 %J Nature Biotechnology %V 33 %N 4 %& 354 %P 354 - 355 %I Nature Publishing Group %C New York, NY %@ false
270. Ebler J: Genotyping of Inversions and Tandem Duplications. Universität des Saarlandes; 2015.
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@mastersthesis{EblerBachelor2015, TITLE = {Genotyping of Inversions and Tandem Duplications}, AUTHOR = {Ebler, Jana}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Ebler, Jana %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotyping of Inversions and Tandem Duplications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-47FD-9 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %V bachelor %9 bachelor
271. Farlik M, Sheffield NC, Nuzzo A, Datlinger P, Schönegger A, Klughammer J, Bock C: Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics. Cell Reports 2015, 10.
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@article{BockCellReports2015, TITLE = {Single-Cell {DNA} Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics}, AUTHOR = {Farlik, Matthias and Sheffield, Nathan C. and Nuzzo, Angelo and Datlinger, Paul and Sch{\"o}negger, Andreas and Klughammer, Johanna and Bock, Christoph}, LANGUAGE = {eng}, DOI = {10.1016/j.celrep.2015.02.001}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2015}, JOURNAL = {Cell Reports}, VOLUME = {10}, NUMBER = {8}, PAGES = {1386--1397}, }
Endnote
%0 Journal Article %A Farlik, Matthias %A Sheffield, Nathan C. %A Nuzzo, Angelo %A Datlinger, Paul %A Sch&#246;negger, Andreas %A Klughammer, Johanna %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Single-Cell DNA Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics : %! Single-Cell {DNA} Methylome Sequencing and Bioinformatic Inference of Epigenomic Cell-State Dynamics %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-BEE0-5 %R 10.1016/j.celrep.2015.02.001 %7 2015 %D 2015 %J Cell Reports %V 10 %N 8 %& 1386 %P 1386 - 1397 %I Elsevier %C Amsterdam %U http://www.sciencedirect.com/science/article/pii/S2211124715001096
272. Feldmann A, Pfeifer N: From Predicting to Analyzing HIV-1 Resistance to Broadly Neutralizing Antibodies. PeerJ Preprints 2015, 3.
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@article{Feldmann2015, TITLE = {From predicting to analyzing {HIV}-1 resistance to broadly neutralizing antibodies}, AUTHOR = {Feldmann, Anna and Pfeifer, Nico}, LANGUAGE = {eng}, DOI = {10.7287/peerj.preprints.1304v1}, YEAR = {2015}, JOURNAL = {PeerJ Preprints}, VOLUME = {3}, EID = {e1304v1}, }
Endnote
%0 Journal Article %A Feldmann, Anna %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T From Predicting to Analyzing HIV-1 Resistance to Broadly Neutralizing Antibodies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-4CC9-F %R 10.7287/peerj.preprints.1304v1 %7 2015-08-13 %D 2015 %8 13.08.2015 %J PeerJ Preprints %V 3 %Z sequence number: e1304v1
273. Fink T, Wolf A, Maurer F, Albrecht FW, Heim N, Wolf B, Hauschild AC, Bödeker B, Baumbach JI, Volk T, Sessler DI, Kreuer S: Volatile Organic Compounds during Inflammation and Sepsis in Rats: A Potential Breath Test Using Ion-mobility Spectrometry. Anesthesiology 2015, 122.
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@article{BaumbachVolatile2015, TITLE = {Volatile Organic Compounds during Inflammation and Sepsis in Rats: {A} Potential Breath Test Using Ion-mobility Spectrometry}, AUTHOR = {Fink, Tobias and Wolf, Alexander and Maurer, Felix and Albrecht, Frederic W. and Heim, Nathalie and Wolf, Beate and Hauschild, Anne C. and B{\"o}deker, Bertram and Baumbach, J{\"o}rg I. and Volk, Thomas and Sessler, Daniel I. and Kreuer, Sascha}, LANGUAGE = {eng}, ISSN = {0003-3022}, DOI = {10.1097/ALN.0000000000000420}, PUBLISHER = {American Society of Anesthesiologists}, ADDRESS = {Philadelphia, Pa.}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Anesthesiology}, VOLUME = {122}, NUMBER = {1}, PAGES = {117--126}, }
Endnote
%0 Journal Article %A Fink, Tobias %A Wolf, Alexander %A Maurer, Felix %A Albrecht, Frederic W. %A Heim, Nathalie %A Wolf, Beate %A Hauschild, Anne C. %A B&#246;deker, Bertram %A Baumbach, J&#246;rg I. %A Volk, Thomas %A Sessler, Daniel I. %A Kreuer, Sascha %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Volatile Organic Compounds during Inflammation and Sepsis in Rats: A Potential Breath Test Using Ion-mobility Spectrometry : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-BF4B-2 %R 10.1097/ALN.0000000000000420 %7 2015 %D 2015 %J Anesthesiology %V 122 %N 1 %& 117 %P 117 - 126 %I American Society of Anesthesiologists %C Philadelphia, Pa. %@ false
274. Garg S: Towards Fewer Seeds for Network Discovery. In Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015). Springer; 2015. [Advances in Intelligent Systems and Computing, vol. 360]
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@inproceedings{GargMCO2015, TITLE = {Towards Fewer Seeds for Network Discovery}, AUTHOR = {Garg, Shilpa}, LANGUAGE = {eng}, ISSN = {2194-5357}, ISBN = {978-3-319-18166-0}, DOI = {10.1007/978-3-319-18167-7_8}, PUBLISHER = {Springer}, YEAR = {2015}, DATE = {2015}, BOOKTITLE = {Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2015)}, EDITOR = {Thi, Hoai An Le and Dinh, Tao Pham and Nguyen, Ngoc Thanh}, PAGES = {81--89}, SERIES = {Advances in Intelligent Systems and Computing}, VOLUME = {360}, ADDRESS = {Metz, France}, }
Endnote
%0 Conference Proceedings %A Garg, Shilpa %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards Fewer Seeds for Network Discovery : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-FC95-E %R 10.1007/978-3-319-18167-7_8 %D 2015 %B 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences %Z date of event: 2015-05-11 - 2015-05-13 %C Metz, France %B Modelling, Computation and Optimization in Information Systems and Management Sciences %E Thi, Hoai An Le; Dinh, Tao Pham; Nguyen, Ngoc Thanh %P 81 - 89 %I Springer %@ 978-3-319-18166-0 %B Advances in Intelligent Systems and Computing %N 360 %@ false
275. Gress A: Automated Mutation Associated Protein Structure Prediction. Universität des Saarlandes; 2015.
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@mastersthesis{Gress2015, TITLE = {Automated Mutation Associated Protein Structure Prediction}, AUTHOR = {Gress, Alexander}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, }
Endnote
%0 Thesis %A Gress, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated Mutation Associated Protein Structure Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-287D-1 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %V master %9 master
276. Grund S, Gkioule C, Termos T, Pfeifer N, Kobbe G, Verheyen J, Adams O: Primarily Oseltamivir-resistant Influenza A (H1N1pdm09) Virus Evolving into a Multidrug-resistant Virus Carrying H275Y and I223R Neuraminidase Substitutions. Antiviral Therapy 2015, 20.
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@article{Grund2015, TITLE = {Primarily Oseltamivir-resistant Influenza {A} ({H1N1pdm09}) Virus Evolving into a Multidrug-resistant Virus Carrying {H275Y} and {I223R} Neuraminidase Substitutions}, AUTHOR = {Grund, Sebastian and Gkioule, Charikleia and Termos, Tahani and Pfeifer, Nico and Kobbe, Guido and Verheyen, Jens and Adams, Ortwin}, LANGUAGE = {eng}, ISSN = {1359-6535}, DOI = {10.3851/IMP2811}, PUBLISHER = {International Medical Press}, ADDRESS = {London}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Antiviral Therapy}, VOLUME = {20}, PAGES = {97--100}, }
Endnote
%0 Journal Article %A Grund, Sebastian %A Gkioule, Charikleia %A Termos, Tahani %A Pfeifer, Nico %A Kobbe, Guido %A Verheyen, Jens %A Adams, Ortwin %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Primarily Oseltamivir-resistant Influenza A (H1N1pdm09) Virus Evolving into a Multidrug-resistant Virus Carrying H275Y and I223R Neuraminidase Substitutions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-5380-8 %R 10.3851/IMP2811 %7 2014-06-18 %D 2015 %J Antiviral Therapy %V 20 %& 97 %P 97 - 100 %I International Medical Press %C London %@ false
277. Hauschild A-C, Baumbach JI, Baumbach J: Bioinformatics Methods for Breath Analysis and Biomarker Detection. In Breath Research Topics from IABR 2015 Summit; 2015.
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@inproceedings{HauschildIABR2015, TITLE = {Bioinformatics Methods for Breath Analysis and Biomarker Detection}, AUTHOR = {Hauschild, Anne-Christin and Baumbach, J{\"o}rg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, YEAR = {2015}, BOOKTITLE = {Breath Research Topics from IABR 2015 Summit}, EDITOR = {Baddour, Rafid}, ADDRESS = {Vienna, Austria}, }
Endnote
%0 Conference Proceedings %A Hauschild, Anne-Christin %A Baumbach, J&#246;rg Ingo %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics Methods for Breath Analysis and Biomarker Detection : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-14B6-6 %D 2015 %B International Association of Breath Researchers 2015 Summit Conference %Z date of event: 2015-09-14 - 2015-09-16 %C Vienna, Austria %B Breath Research Topics from IABR 2015 Summit %E Baddour, Rafid
278. Hauschild A-C, Maurer F, Fink T, Baumbach JI, Kreuer S, Eckel SP, Baumbach J: Analysis of Volatile Organic Compounds during Sepsis in Rats. In Metaboliten in Prozessabluft und Ausatemluft; 2015.
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@inproceedings{HauschildMetaboliten2015, TITLE = {Analysis of Volatile Organic Compounds during Sepsis in Rats}, AUTHOR = {Hauschild, Anne-Christin and Maurer, Felix and Fink, Tobias and Baumbach, J{\"o}rg Ingo and Kreuer, Sascha and Eckel, Sandrah P. and Baumbach, Jan}, LANGUAGE = {eng}, YEAR = {2015}, BOOKTITLE = {Metaboliten in Prozessabluft und Ausatemluft}, PAGES = {23--23}, ADDRESS = {Reutlingen, Germany}, }
Endnote
%0 Conference Proceedings %A Hauschild, Anne-Christin %A Maurer, Felix %A Fink, Tobias %A Baumbach, J&#246;rg Ingo %A Kreuer, Sascha %A Eckel, Sandrah P. %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Analysis of Volatile Organic Compounds during Sepsis in Rats : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-06C9-B %D 2015 %B 6. Symposium Metaboliten in Prozessabluft und Ausatemluft %Z date of event: 2015-09-22 - 2015-09-23 %C Reutlingen, Germany %B Metaboliten in Prozessabluft und Ausatemluft %P 23 - 23 %U http://www.bs-analytik.de/pdf/150508_BoA_Anwedertreffen_v5.pdf
279. Hauschild A-C, Frisch T, Baumbach JI, Baumbach J: Carotta: Revealing Hidden Confounder Markers in Metabolic Breath Profiles. Metabolites 2015, 5.
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@article{HauschildMetabolites2015, TITLE = {Carotta: {R}evealing Hidden Confounder Markers in Metabolic Breath Profiles}, AUTHOR = {Hauschild, Anne-Christin and Frisch, Tobias and Baumbach, J{\"o}rg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {2218-1989}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4495376&tool=pmcentrez&rendertype=abstract}, DOI = {10.3390/metabo5020344}, PUBLISHER = {MDPI}, YEAR = {2015}, JOURNAL = {Metabolites}, VOLUME = {5}, NUMBER = {2}, PAGES = {344--363}, }
Endnote
%0 Journal Article %A Hauschild, Anne-Christin %A Frisch, Tobias %A Baumbach, J&#246;rg Ingo %A Baumbach, Jan %A contributor: Kaleta, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Carotta: Revealing Hidden Confounder Markers in Metabolic Breath Profiles : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-1B69-D %F OTHER: accessionPMC4495376 %F OTHER: pmcidPMC4495376 %F OTHER: pmc-uid4495376 %R 10.3390/metabo5020344 %F OTHER: publisher-idmetabolites-05-00344 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4495376&tool=pmcentrez&rendertype=abstract %7 2015-06-10 %D 2015 %8 10.06.2015 %K breath analysis %J Metabolites %V 5 %N 2 %& 344 %P 344 - 363 %I MDPI %@ false
280. He X, Cicek AE, Wang Y, Schulz MH, Le H-S, Bar-Joseph Z: De Novo ChIP-seq Analysis. Genome Biology 2015, 16.
Abstract
ABSTRACT: Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq data. Our methods combine de novo assembly with statistical tests enabling motif discovery without the use of a reference genome. We validate the performance of our method using human and mouse data. Analysis of fly data indicates that our method outperforms alignment based methods that utilize closely related species.
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@article{He2015, TITLE = {{\textit{De novo}} {ChIP}-seq analysis}, AUTHOR = {He, Xin and Cicek, A. Ercument and Wang, Yuhao and Schulz, Marcel H. and Le, Hai-Son and Bar-Joseph, Ziv}, LANGUAGE = {eng}, ISSN = {1474-760X}, DOI = {10.1186/s13059-015-0756-4}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2015}, ABSTRACT = {ABSTRACT: Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq data. Our methods combine de novo assembly with statistical tests enabling motif discovery without the use of a reference genome. We validate the performance of our method using human and mouse data. Analysis of fly data indicates that our method outperforms alignment based methods that utilize closely related species.}, JOURNAL = {Genome Biology}, VOLUME = {16}, NUMBER = {1}, EID = {205}, }
Endnote
%0 Journal Article %A He, Xin %A Cicek, A. Ercument %A Wang, Yuhao %A Schulz, Marcel H. %A Le, Hai-Son %A Bar-Joseph, Ziv %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T De Novo ChIP-seq Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-DD0C-3 %R 10.1186/s13059-015-0756-4 %7 2015-09-23 %D 2015 %8 23.09.2015 %X ABSTRACT: Methods for the analysis of chromatin immunoprecipitation sequencing (ChIP-seq) data start by aligning the short reads to a reference genome. While often successful, they are not appropriate for cases where a reference genome is not available. Here we develop methods for de novo analysis of ChIP-seq data. Our methods combine de novo assembly with statistical tests enabling motif discovery without the use of a reference genome. We validate the performance of our method using human and mouse data. Analysis of fly data indicates that our method outperforms alignment based methods that utilize closely related species. %J Genome Biology %V 16 %N 1 %Z sequence number: 205 %I BioMed Central Ltd. %C London %@ false %U http://www.genomebiology.com/2015/16/1/205
281. Ibragimov R: Exact and Heuristic Algorithms for Network Alignment using Graph Edit Distance Models. Universität des Saarlandes; 2015.
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@phdthesis{Ibragimovphd14, TITLE = {Exact and Heuristic Algorithms for Network Alignment using Graph Edit Distance Models}, AUTHOR = {Ibragimov, Rashid}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-59999}, DOI = {10.22028/D291-26594}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, }
Endnote
%0 Thesis %A Ibragimov, Rashid %Y Baumbach, Jan %A referee: Guo, Jiong %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Exact and Heuristic Algorithms for Network Alignment using Graph Edit Distance Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-6E4C-7 %R 10.22028/D291-26594 %U urn:nbn:de:bsz:291-scidok-59999 %F OTHER: hdl:20.500.11880/26650 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %P 149 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2015/5999/http://scidok.sulb.uni-saarland.de/doku/urheberrecht.php?la=de
282. Karp PD, Berger B, Kovats D, Lengauer T, Linial M, Sabeti P, Hide W, Rost B: Message from the ISCB: ISCB Ebola award for important future research on the computational biology of Ebola virus. Bioinformatics 2015, 31.
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@article{LengauerBioinformatics2015, TITLE = {Message from the {ISCB}: {ISCB} {Ebola} award for important future research on the computational biology of {Ebola} virus}, AUTHOR = {Karp, Peter D. and Berger, Bonnie and Kovats, Diane and Lengauer, Thomas and Linial, Michal and Sabeti, Pardis and Hide, Winston and Rost, Burkhard}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btv019}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Bioinformatics}, VOLUME = {31}, NUMBER = {4}, PAGES = {616--617}, }
Endnote
%0 Journal Article %A Karp, Peter D. %A Berger, Bonnie %A Kovats, Diane %A Lengauer, Thomas %A Linial, Michal %A Sabeti, Pardis %A Hide, Winston %A Rost, Burkhard %+ external external external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external external external external %T Message from the ISCB: ISCB Ebola award for important future research on the computational biology of Ebola virus : %U http://hdl.handle.net/11858/00-001M-0000-0026-A0E1-3 %F ISI: 000350059600029 %R 10.1093/bioinformatics/btv019 %D 2015 %J Bioinformatics %V 31 %N 4 %& 616 %P 616 - 617 %I Oxford University Press %C Oxford %@ false
283. Karp PD, Berger B, Kovats D, Lengauer T, Linial M, Sabeti P, Hide W, Rost B: ISCB Ebola Award for Important Future Research on the Computational Biology of Ebola Virus. F1000Research 2015, 4.
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@article{LengauerF1000Research2015, TITLE = {{ISCB Ebola Award} for Important Future Research on the Computational Biology of {Ebola} Virus}, AUTHOR = {Karp, Peter D. and Berger, Bonnie and Kovats, Diane and Lengauer, Thomas and Linial, Michal and Sabeti, Pardis and Hide, Winston and Rost, Burkhard}, LANGUAGE = {eng}, ISSN = {2046-1402}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4457108&tool=pmcentrez&rendertype=abstract}, DOI = {10.12688/f1000research.6038.1}, PUBLISHER = {F1000Research}, ADDRESS = {London, UK}, YEAR = {2015}, JOURNAL = {F1000Research}, VOLUME = {4}, EID = {12}, }
Endnote
%0 Journal Article %A Karp, Peter D. %A Berger, Bonnie %A Kovats, Diane %A Lengauer, Thomas %A Linial, Michal %A Sabeti, Pardis %A Hide, Winston %A Rost, Burkhard %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T ISCB Ebola Award for Important Future Research on the Computational Biology of Ebola Virus : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-BD0D-5 %F OTHER: accessionPMC4457108 %F OTHER: pmcidPMC4457108 %F OTHER: pmc-uid4457108 %R 10.12688/f1000research.6038.1 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4457108&tool=pmcentrez&rendertype=abstract %7 2015-01-15 %D 2015 %8 15.01.2015 %J F1000Research %V 4 %Z sequence number: 12 %I F1000Research %C London, UK %@ false
284. Karp PD, Berger B, Kovats D, Lengauer T, Linial M, Sabeti P, Hide W, Rost B: ISCB Ebola Award for Important Future Research on the Computational Biology of Ebola Virus. PLOS Computational Biology 2015, 11.
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@article{KarpPLoS2015, TITLE = {{ISCB} {Ebola Award} for Important Future Research on the Computational Biology of {E}bola Virus}, AUTHOR = {Karp, Peter D. and Berger, Bonnie and Kovats, Diane and Lengauer, Thomas and Linial, Michal and Sabeti, Pardis and Hide, Winston and Rost, Burkhard}, LANGUAGE = {eng}, ISSN = {1553-734X}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4310586&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pcbi.1004087}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2015}, JOURNAL = {PLOS Computational Biology}, VOLUME = {11}, NUMBER = {1}, PAGES = {1--3}, EID = {e1004087}, }
Endnote
%0 Journal Article %A Karp, Peter D. %A Berger, Bonnie %A Kovats, Diane %A Lengauer, Thomas %A Linial, Michal %A Sabeti, Pardis %A Hide, Winston %A Rost, Burkhard %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T ISCB Ebola Award for Important Future Research on the Computational Biology of Ebola Virus : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E54D-E %2 PMC4310586 %F OTHER: publisher-idPCOMPBIOL-D-14-02242 %R 10.1371/journal.pcbi.1004087 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4310586&tool=pmcentrez&rendertype=abstract %7 2015-01-29 %D 2015 %8 29.01.2015 %J PLOS Computational Biology %O PLOS Comput Biol %V 11 %N 1 %& 1 %P 1 - 3 %Z sequence number: e1004087 %I Public Library of Science %C San Francisco, CA %@ false %U https://doi.org/10.1371/journal.pcbi.1004087
285. Klughammer J, Datlinger P, Printz D, Sheffield NC, Farlik M, Hadler J, Fritsch G, Bock C: Differential DNA Methylation Analysis without a Reference Genome. Cell 2015, 11.
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@article{Klughammer2015, TITLE = {Differential {DNA} Methylation Analysis without a Reference Genome}, AUTHOR = {Klughammer, Johanna and Datlinger, Paul and Printz, Dieter and Sheffield, Nathan C. and Farlik, Matthias and Hadler, Johanna and Fritsch, Gerhard and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {0092-8674}, DOI = {10.1016/j.celrep.2015.11.024}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Cell}, VOLUME = {11}, PAGES = {2621--2633}, }
Endnote
%0 Journal Article %A Klughammer, Johanna %A Datlinger, Paul %A Printz, Dieter %A Sheffield, Nathan C. %A Farlik, Matthias %A Hadler, Johanna %A Fritsch, Gerhard %A Bock, Christoph %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Differential DNA Methylation Analysis without a Reference Genome : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-5762-8 %R 10.1016/j.celrep.2015.11.024 %7 2015 %D 2015 %J Cell %V 11 %& 2621 %P 2621 - 2633 %I Cell Press %C Cambridge, Mass. %@ false %U http://www.sciencedirect.com/science/article/pii/S2211124715013248
286. Kouri V, Khouri R, Alemán Y, Abrahantes Y, Vercauteren J, Pineda-Peña A-C, Theys K, Megens S, Moutschen M, Pfeifer N, Van Weyenbergh J, Pérez AB, Pérez J, Pérez L, Van Laethem K, Vandamme A-M: CRF19_cpx is an Evolutionary Fit HIV-1 Variant Strongly Associated With Rapid Progression to AIDS in Cuba. EBioMedicine 2015, 2.
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@article{Kouri2015, TITLE = {{CRF19\_cpx} is an Evolutionary Fit {HIV}-1 Variant Strongly Associated With Rapid Progression to {AIDS} in {Cuba}}, AUTHOR = {Kouri, Vivian and Khouri, Ricardo and Alem{\'a}n, Yoan and Abrahantes, Yeissel and Vercauteren, Jurgen and Pineda-Pe{\~n}a, Andrea-Clemencia and Theys, Kristof and Megens, Sarah and Moutschen, Michel and Pfeifer, Nico and Van Weyenbergh, Johan and P{\'e}rez, Ana B. and P{\'e}rez, Jorge and P{\'e}rez, Lissette and Van Laethem, Kristel and Vandamme, Anne-Mieke}, LANGUAGE = {eng}, URL = {http://www.ebiomedicine.com/article/S2352-3964(15)00038-9/abstract}, DOI = {10.1016/j.ebiom.2015.01.015}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2015}, JOURNAL = {EBioMedicine}, VOLUME = {2}, NUMBER = {3}, PAGES = {244--254}, }
Endnote
%0 Journal Article %A Kouri, Vivian %A Khouri, Ricardo %A Alem&#225;n, Yoan %A Abrahantes, Yeissel %A Vercauteren, Jurgen %A Pineda-Pe&#241;a, Andrea-Clemencia %A Theys, Kristof %A Megens, Sarah %A Moutschen, Michel %A Pfeifer, Nico %A Van Weyenbergh, Johan %A P&#233;rez, Ana B. %A P&#233;rez, Jorge %A P&#233;rez, Lissette %A Van Laethem, Kristel %A Vandamme, Anne-Mieke %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T CRF19_cpx is an Evolutionary Fit HIV-1 Variant Strongly Associated With Rapid Progression to AIDS in Cuba : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-D01E-C %U http://www.ebiomedicine.com/article/S2352-3964(15)00038-9/abstract %R 10.1016/j.ebiom.2015.01.015 %7 2015-01-28 %D 2015 %8 28.01.2015 %J EBioMedicine %V 2 %N 3 %& 244 %P 244 - 254 %I Elsevier %C Amsterdam %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484819/pdf/main.pdf
287. Lang B: Evaluation of Clique-Enumeration Algorithms with Application to Haplotype Reconstruction. Universität des Saarlandes; 2015.
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@mastersthesis{LangBachelor2015, TITLE = {Evaluation of Clique-Enumeration Algorithms with Application to Haplotype Reconstruction}, AUTHOR = {Lang, Bernhard}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Lang, Bernhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Evaluation of Clique-Enumeration Algorithms with Application to Haplotype Reconstruction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-47EF-9 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %V bachelor %9 bachelor
288. Lawyer G: Understanding the Influence of All Nodes in a Network. Scientific Reports 2015, 5.
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@article{Lawyer2015, TITLE = {Understanding the Influence of All Nodes in a Network}, AUTHOR = {Lawyer, Glenn}, LANGUAGE = {eng}, DOI = {10.1038/srep08665}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2015}, JOURNAL = {Scientific Reports}, VOLUME = {5}, EID = {8665}, }
Endnote
%0 Journal Article %A Lawyer, Glenn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Understanding the Influence of All Nodes in a Network : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-CAA9-3 %R 10.1038/srep08665 %7 2015-03-02 %D 2015 %8 02.03.2015 %J Scientific Reports %O Sci. Rep. %V 5 %Z sequence number: 8665 %I Nature Publishing Group %C London, UK
289. Lengauer T, Nussinov R: How to Write a Presubmission Inquiry. PLoS Computational Biology 2015, 11.
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@article{LengauerNussinov2015, TITLE = {How to Write a Presubmission Inquiry}, AUTHOR = {Lengauer, Thomas and Nussinov, Ruth}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.1004098}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2015}, JOURNAL = {PLoS Computational Biology}, VOLUME = {11}, NUMBER = {2}, PAGES = {1--3}, EID = {e1004098}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Nussinov, Ruth %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T How to Write a Presubmission Inquiry : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0026-C655-D %R 10.1371/journal.pcbi.1004098 %7 2015-02-26 %D 2015 %8 26.02.2015 %J PLoS Computational Biology %V 11 %N 2 %& 1 %P 1 - 3 %Z sequence number: e1004098 %I Public Library of Science %C San Francisco, CA %@ false %U http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004098
290. Leung WY, Marschall T, Paudel Y, Falquet L, Mei H, Schönhuth A, Maoz TY: SV-AUTOPILOT: Optimized, Automated Construction of Structural Variation Discovery and Benchmarking Pipelines. BMC Genomics 2015, 16.
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@article{Marschall2015, TITLE = {{SV}-{AUTOPILOT}: {O}ptimized, Automated Construction of Structural Variation Discovery and Benchmarking Pipelines}, AUTHOR = {Leung, Wai Yi and Marschall, Tobias and Paudel, Yogesh and Falquet, Laurent and Mei, Hailiang and Sch{\"o}nhuth, Alexander and Maoz, Tiffanie Yael}, LANGUAGE = {eng}, ISSN = {1471-2164}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4520269&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/s12864-015-1376-9}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2015}, JOURNAL = {BMC Genomics}, VOLUME = {16}, NUMBER = {1}, EID = {238}, }
Endnote
%0 Journal Article %A Leung, Wai Yi %A Marschall, Tobias %A Paudel, Yogesh %A Falquet, Laurent %A Mei, Hailiang %A Sch&#246;nhuth, Alexander %A Maoz, Tiffanie Yael %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T SV-AUTOPILOT: Optimized, Automated Construction of Structural Variation Discovery and Benchmarking Pipelines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-1B8C-0 %F OTHER: accessionPMC4520269 %F OTHER: pmcidPMC4520269 %F OTHER: pmc-uid4520269 %F OTHER: publisher-id1376 %R 10.1186/s12864-015-1376-9 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4520269&tool=pmcentrez&rendertype=abstract %7 2015-03-25 %D 2015 %8 25.03.2015 %K SV tool development %J BMC Genomics %V 16 %N 1 %Z sequence number: 238 %I BioMed Central %C London %@ false
291. List M, Franz M, Tan O, Mollenhauer J, Baumbach J: OpenLabNotes - An Electronic Laboratory Notebook Extension for OpenLabFramework. Journal of Integrative Bioinformatics 2015, 12.
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@article{List_jib274, TITLE = {{OpenLabNotes} -- An Electronic Laboratory Notebook Extension for {OpenLabFramework}}, AUTHOR = {List, Markus and Franz, Michael and Tan, Oihua and Mollenhauer, Jan and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1613-4516}, DOI = {10.2390/biecoll-jib-2015-274}, YEAR = {2015}, JOURNAL = {Journal of Integrative Bioinformatics}, VOLUME = {12}, NUMBER = {3}, EID = {274}, }
Endnote
%0 Journal Article %A List, Markus %A Franz, Michael %A Tan, Oihua %A Mollenhauer, Jan %A Baumbach, Jan %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T OpenLabNotes - An Electronic Laboratory Notebook Extension for OpenLabFramework : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002B-466F-2 %R 10.2390/biecoll-jib-2015-274 %7 2015 %D 2015 %J Journal of Integrative Bioinformatics %O JIB %V 12 %N 3 %Z sequence number: 274 %@ false
292. Lübke N, Di Cristanziano V, Sierra S, Knops E, Schülter E, Jensen B, Oette M, Lengauer T, Kaiser R: Proviral DNA as a Target for HIV-1 Resistance Analysis. Intervirology 2015, 58.
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@article{Lubke2015, TITLE = {Proviral {DNA} as a Target for {HIV}-1 Resistance Analysis}, AUTHOR = {L{\"u}bke, Nadine and Di Cristanziano, Veronica and Sierra, Saleta and Knops, Elena and Sch{\"u}lter, Eugen and Jensen, Bj{\"o}rn and Oette, Mark and Lengauer, Thomas and Kaiser, Rolf}, LANGUAGE = {eng}, DOI = {10.1159/000431093}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Intervirology}, VOLUME = {58}, NUMBER = {3}, PAGES = {184--189}, }
Endnote
%0 Journal Article %A L&#252;bke, Nadine %A Di Cristanziano, Veronica %A Sierra, Saleta %A Knops, Elena %A Sch&#252;lter, Eugen %A Jensen, Bj&#246;rn %A Oette, Mark %A Lengauer, Thomas %A Kaiser, Rolf %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Proviral DNA as a Target for HIV-1 Resistance Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-5373-6 %R 10.1159/000431093 %7 2015 %D 2015 %K Kaiser, Rolf %J Intervirology %V 58 %N 3 %& 184 %P 184 - 189 %I Karger %C Basel
293. Mueller SC, Backes C, Kalinina OV, Meder B, Stöckel D, Lenhof H-P, Meese E, Keller A: BALL-SNP: Combining Genetic and Structural Information to Identify Candidate non-Synonymous Single Nucleotide Polymorphisms. Genome Medicine 2015, 7.
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@article{KalininaGenomeMed2015, TITLE = {{BALL}-{SNP}: {C}ombining Genetic and Structural Information to Identify Candidate non-Synonymous Single Nucleotide Polymorphisms}, AUTHOR = {Mueller, Sabine C. and Backes, Christina and Kalinina, Olga V. and Meder, Benjamin and St{\"o}ckel, Daniel and Lenhof, Hans-Peter and Meese, Eckart and Keller, Andreas}, LANGUAGE = {eng}, ISSN = {1756-994X}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4506604&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/s13073-015-0190-y}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2015}, JOURNAL = {Genome Medicine}, VOLUME = {7}, NUMBER = {1}, EID = {65}, }
Endnote
%0 Journal Article %A Mueller, Sabine C. %A Backes, Christina %A Kalinina, Olga V. %A Meder, Benjamin %A St&#246;ckel, Daniel %A Lenhof, Hans-Peter %A Meese, Eckart %A Keller, Andreas %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T BALL-SNP: Combining Genetic and Structural Information to Identify Candidate non-Synonymous Single Nucleotide Polymorphisms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-1B2E-4 %F OTHER: accessionPMC4506604 %F OTHER: pmcidPMC4506604 %F OTHER: pmc-uid4506604 %F OTHER: publisher-id190 %R 10.1186/s13073-015-0190-y %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4506604&tool=pmcentrez&rendertype=abstract %7 2015-07-01 %D 2015 %8 01.07.2015 %J Genome Medicine %V 7 %N 1 %Z sequence number: 65 %I BioMed Central %C London %@ false
294. Passing NE: Advanced Runtime Analysis of Pattern Matching Algorithms. Universität des Saarlandes; 2015.
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@mastersthesis{PassingBachelor2015, TITLE = {Advanced Runtime Analysis of Pattern Matching Algorithms}, AUTHOR = {Passing, Noemi Estrid}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Passing, Noemi Estrid %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Advanced Runtime Analysis of Pattern Matching Algorithms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-47F6-8 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %V bachelor %9 bachelor
295. Patterson M, Marschall T, Pisanti N, Iersel L, Stougie L, Klau GW, Schönhuth A: WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads. Journal of Computational Biology 2015, 22.
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@article{Patterson2015, TITLE = {{WhatsHap}: {W}eighted Haplotype Assembly for Future-Generation Sequencing Reads}, AUTHOR = {Patterson, Murray and Marschall, Tobias and Pisanti, Nadia and Iersel, Leo and Stougie, Leen and Klau, Gunnar W. and Sch{\"o}nhuth, Alexander}, LANGUAGE = {eng}, ISSN = {1066-5277}, DOI = {10.1089/cmb.2014.0157}, PUBLISHER = {Mary Ann Liebert}, ADDRESS = {New York, NY}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Journal of Computational Biology}, VOLUME = {22}, NUMBER = {6}, PAGES = {498--509}, }
Endnote
%0 Journal Article %A Patterson, Murray %A Marschall, Tobias %A Pisanti, Nadia %A Iersel, Leo %A Stougie, Leen %A Klau, Gunnar W. %A Sch&#246;nhuth, Alexander %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-1A80-E %R 10.1089/cmb.2014.0157 %7 2015 %D 2015 %J Journal of Computational Biology %V 22 %N 6 %& 498 %P 498 - 509 %I Mary Ann Liebert %C New York, NY %@ false
296. Pironti A, Sierra S, Kaiser R, Lengauer T, Pfeifer N: Effects of Sequence Alterations on Results from Genotypic Tropism Testing. Journal of Clinical Virology 2015, 65.
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@article{Pironti2015, TITLE = {Effects of Sequence Alterations on Results from Genotypic Tropism Testing}, AUTHOR = {Pironti, Alejandro and Sierra, Saleta and Kaiser, Rolf and Lengauer, Thomas and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1386-6532}, DOI = {10.1016/j.jcv.2015.02.006}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2015}, JOURNAL = {Journal of Clinical Virology}, VOLUME = {65}, PAGES = {68--73}, }
Endnote
%0 Journal Article %A Pironti, Alejandro %A Sierra, Saleta %A Kaiser, Rolf %A Lengauer, Thomas %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Effects of Sequence Alterations on Results from Genotypic Tropism Testing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-CFA4-1 %R 10.1016/j.jcv.2015.02.006 %7 2015-02-10 %D 2015 %8 10.02.2015 %J Journal of Clinical Virology %V 65 %& 68 %P 68 - 73 %I Elsevier %C Amsterdam %@ false
297. Poenisch M, Metz P, Blankenburg H, Ruggieri A, Lee J-Y, Rupp D, Rebhan I, Diederich K, Kaderali L, Domingues FS, Albrecht M, Lohmann V, Erfle H, Bartenschlager R: Identification of HNRNPK as Regulator of Hepatitis C Virus Particle Production. PLoS Pathogens 2015, 11.
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@article{PoenischPLoSPathog2015, TITLE = {Identification of {HNRNPK} as Regulator of Hepatitis {C} Virus Particle Production}, AUTHOR = {Poenisch, Marion and Metz, Philippe and Blankenburg, Hagen and Ruggieri, Alessia and Lee, Ji-Young and Rupp, Daniel and Rebhan, Ilka and Diederich, Kathrin and Kaderali, Lars and Domingues, Francisco S. and Albrecht, Mario and Lohmann, Volker and Erfle, Holger and Bartenschlager, Ralf}, LANGUAGE = {eng}, ISSN = {1553-7366; 1553-7374}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4287573&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.ppat.1004573}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2015}, JOURNAL = {PLoS Pathogens}, VOLUME = {11}, NUMBER = {1}, EID = {e1004573}, }
Endnote
%0 Journal Article %A Poenisch, Marion %A Metz, Philippe %A Blankenburg, Hagen %A Ruggieri, Alessia %A Lee, Ji-Young %A Rupp, Daniel %A Rebhan, Ilka %A Diederich, Kathrin %A Kaderali, Lars %A Domingues, Francisco S. %A Albrecht, Mario %A Lohmann, Volker %A Erfle, Holger %A Bartenschlager, Ralf %A contributor: Randall, Glenn %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Identification of HNRNPK as Regulator of Hepatitis C Virus Particle Production : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-9075-F %F OTHER: accessionPMC4287573 %F OTHER: pmcidPMC4287573 %F OTHER: pmc-uid4287573 %F OTHER: publisher-idPPATHOGENS-D-14-01626 %R 10.1371/journal.ppat.1004573 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4287573&tool=pmcentrez&rendertype=abstract %7 2015-01-08 %D 2015 %8 08.01.2015 %J PLoS Pathogens %V 11 %N 1 %Z sequence number: e1004573 %I Public Library of Science %C San Francisco, CA %@ false
298. Pohlmann T, Baumann S, Haag C, Albrecht M, Feldbrügge M: A FYVE Zinc Finger Domain Protein Specifically Links mRNA Transport to Endosome Trafficking. eLife 2015.
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@article{Pohlmann2015, TITLE = {A {FYVE} Zinc Finger Domain Protein Specifically Links {mRNA} Transport to Endosome Trafficking}, AUTHOR = {Pohlmann, Thomas and Baumann, Sebastian and Haag, Carl and Albrecht, Mario and Feldbr{\"u}gge, Michael}, LANGUAGE = {eng}, DOI = {10.7554/eLife.06041}, PUBLISHER = {eLife Sciences Publications}, ADDRESS = {Cambridge}, YEAR = {2015}, JOURNAL = {eLife}, EID = {e06041}, }
Endnote
%0 Journal Article %A Pohlmann, Thomas %A Baumann, Sebastian %A Haag, Carl %A Albrecht, Mario %A Feldbr&#252;gge, Michael %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T A FYVE Zinc Finger Domain Protein Specifically Links mRNA Transport to Endosome Trafficking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-5A2D-6 %R 10.7554/eLife.06041 %7 2015 %D 2015 %J eLife %Z sequence number: e06041 %I eLife Sciences Publications %C Cambridge
299. Ramasamy P: Reconstruction of Phylogenetic Relationships between Nucleic Acid Polymerases of Viruses with RNA Genome. Universität des Saarlandes; 2015.
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@mastersthesis{Ramasamy2015, TITLE = {Reconstruction of Phylogenetic Relationships between Nucleic Acid Polymerases of Viruses with {RNA} Genome}, AUTHOR = {Ramasamy, Pathmanaban}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, }
Endnote
%0 Thesis %A Ramasamy, Pathmanaban %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Reconstruction of Phylogenetic Relationships between Nucleic Acid Polymerases of Viruses with RNA Genome : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002C-287F-E %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %V master %9 master
300. Schmidl C, Rendeiro AF, Sheffield NC, Bock C: ChIPmentation: Fast, Robust, Low-input ChIP-seq for Histones and Transcription Factors. Nature Methods 2015, 12.
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@article{Schmidl2015, TITLE = {{ChIPmentation}: {Fast}, Robust, Low-input {ChIP}-seq for Histones and Transcription Factors}, AUTHOR = {Schmidl, Christian and Rendeiro, Andr{\'e} F. and Sheffield, Nathan C. and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {10.1038/nmeth.3542}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Nature Methods}, VOLUME = {12}, NUMBER = {10}, PAGES = {963--965}, }
Endnote
%0 Journal Article %A Schmidl, Christian %A Rendeiro, Andr&#233; F. %A Sheffield, Nathan C. %A Bock, Christoph %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T ChIPmentation: Fast, Robust, Low-input ChIP-seq for Histones and Transcription Factors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-F6FD-C %R 10.1038/nmeth.3542 %2 PMC4589892 %7 2015 %D 2015 %J Nature Methods %O Nature methods %V 12 %N 10 %& 963 %P 963 - 965 %I Nature Pub. Group %C New York, NY %@ false
301. Schneider E, El Hajj N, Müller F, Navarro B: Epigenetic Dysregulation in the Prefrontal Cortex of Suicide Completers. Cytogenetics and Genome Research 2015, 146.
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@article{Muellerfab2015, TITLE = {Epigenetic Dysregulation in the Prefrontal Cortex of Suicide Completers}, AUTHOR = {Schneider, Ebahard and El Hajj, Nady and M{\"u}ller, Fabian and Navarro, Bianca}, LANGUAGE = {eng}, ISSN = {0301-0171}, DOI = {10.1159/000435778}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Cytogenetics and Genome Research}, VOLUME = {146}, NUMBER = {1}, PAGES = {19--27}, }
Endnote
%0 Journal Article %A Schneider, Ebahard %A El Hajj, Nady %A M&#252;ller, Fabian %A Navarro, Bianca %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Epigenetic Dysregulation in the Prefrontal Cortex of Suicide Completers : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-E0EF-0 %R 10.1159/000435778 %7 2015-09 %D 2015 %J Cytogenetics and Genome Research %O Cytogenet Genome Res. %V 146 %N 1 %& 19 %P 19 - 27 %I Karger %C Basel %@ false
302. Serra Mari R: Analyse von populationsbasiertem Haplotyp-Phasing mittels Sequenzierdaten. Universität des Saarlandes; 2015.
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@mastersthesis{SerraMariBachelor2015, TITLE = {{Analyse von populationsbasiertem Haplotyp-Phasing mittels Sequenzierdaten}}, AUTHOR = {Serra Mari, Rebecca}, LANGUAGE = {deu}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2015}, DATE = {2015}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Serra Mari, Rebecca %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analyse von populationsbasiertem Haplotyp-Phasing mittels Sequenzierdaten : %G deu %U http://hdl.handle.net/11858/00-001M-0000-002C-47FF-5 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2015 %V bachelor %9 bachelor
303. Sierra S, Dybowski JN, Pironti A, Heider D, Güney L, Thielen A, Reuter S, Esser S, Fätkenheuer G, Lengauer T, Hoffmann D, Pfister H, Jensen B, Kaiser R: Parameters Influencing Baseline HIV-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on Maraviroc. PLoS ONE 2015, 10.
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@article{SierraPLoSONE2015, TITLE = {Parameters Influencing Baseline {HIV}-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on Maraviroc}, AUTHOR = {Sierra, Saleta and Dybowski, J. Nikolai and Pironti, Alejandro and Heider, Dominik and G{\"u}ney, Lisa and Thielen, Alexander and Reuter, Stefan and Esser, Stefan and F{\"a}tkenheuer, Gerd and Lengauer, Thomas and Hoffmann, Daniel and Pfister, Herbert and Jensen, Bj{\"o}rn and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4430318&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pone.0125502}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2015}, JOURNAL = {PLoS ONE}, VOLUME = {10}, NUMBER = {5}, EID = {e0125502}, }
Endnote
%0 Journal Article %A Sierra, Saleta %A Dybowski, J. Nikolai %A Pironti, Alejandro %A Heider, Dominik %A G&#252;ney, Lisa %A Thielen, Alexander %A Reuter, Stefan %A Esser, Stefan %A F&#228;tkenheuer, Gerd %A Lengauer, Thomas %A Hoffmann, Daniel %A Pfister, Herbert %A Jensen, Bj&#246;rn %A Kaiser, Rolf %A contributor: Ceccherini-Silberstein, Francesca %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Parameters Influencing Baseline HIV-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on Maraviroc : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-7AC3-3 %F OTHER: accessionPMC4430318 %F OTHER: pmcidPMC4430318 %F OTHER: pmc-uid4430318 %R 10.1371/journal.pone.0125502 %F OTHER: publisher-idPONE-D-14-44999 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4430318&tool=pmcentrez&rendertype=abstract %7 2015-05-13 %D 2015 %8 13.05.2015 %J PLoS ONE %V 10 %N 5 %Z sequence number: e0125502 %I Public Library of Science %C San Francisco, CA %@ false
304. Speicher NK, Pfeifer N: Integrating Different Data Types by Regularized Unsupervised Multiple Kernel Learning with Application to Cancer Subtype Discovery. Bioinformatics (Proc ISMB/ECCB 2015) 2015, 31.
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@article{SpeicherPfeifer2015, TITLE = {Integrating Different Data Types by Regularized Unsupervised Multiple Kernel Learning with Application to Cancer Subtype Discovery}, AUTHOR = {Speicher, Nora K. and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btv244}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Bioinformatics (Proc. ISMB/ECCB)}, VOLUME = {31}, NUMBER = {12}, PAGES = {i268--i275}, BOOKTITLE = {ISMB/ECCB 2015}, }
Endnote
%0 Journal Article %A Speicher, Nora K. %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrating Different Data Types by Regularized Unsupervised Multiple Kernel Learning with Application to Cancer Subtype Discovery : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-D2E9-9 %R 10.1093/bioinformatics/btv244 %7 2015 %D 2015 %J Bioinformatics %V 31 %N 12 %& i268 %P i268 - i275 %I Oxford University Press %C Oxford %@ false %B ISMB/ECCB 2015 %O ISMB/ECCB 2015
305. Stöckel D, Schmidt F, Trampert P, Lenhof H-P: CausalTrail: Testing Hypothesis Using Causal Bayesian Networks. Faculty of 1000 Research 2015, 4.
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@article{StoeckelF1000Research2015, TITLE = {CausalTrail: Testing Hypothesis Using Causal {Bayesian} Networks}, AUTHOR = {St{\"o}ckel, Daniel and Schmidt, Florian and Trampert, Patrick and Lenhof, Hans-Peter}, LANGUAGE = {eng}, DOI = {10.12688/f1000research.7647.1}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2015}, JOURNAL = {Faculty of 1000 Research}, VOLUME = {4}, EID = {1520}, }
Endnote
%0 Journal Article %A St&#246;ckel, Daniel %A Schmidt, Florian %A Trampert, Patrick %A Lenhof, Hans-Peter %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T CausalTrail: Testing Hypothesis Using Causal Bayesian Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-F706-0 %R 10.12688/f1000research.7647.1 %7 2015 %D 2015 %J Faculty of 1000 Research %O F1000Research %V 4 %Z sequence number: 1520 %I BioMed Central %C London
306. Susser S, Flinders M, Reesink HW, Zeuzem S, Lawyer G, Ghys A, Van Eygen V, Witek J, De Meyer S, Sarrazin C: Evolution of Hepatitis C Virus Quasispecies during Repeated Treatment with the NS3/4A Protease Inhibitor Telaprevir. Antimicrobial Agents and Chemotherapy 2015, 59.
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@article{Susser2015, TITLE = {Evolution of Hepatitis {C }Virus Quasispecies during Repeated Treatment with the {NS3}/{4A} Protease Inhibitor Telaprevir}, AUTHOR = {Susser, Simone and Flinders, Mathieu and Reesink, Henk W. and Zeuzem, Stefan and Lawyer, Glenn and Ghys, Anne and Van Eygen, Veerle and Witek, James and De Meyer, Sandra and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {0066-4804}, DOI = {10.1128/AAC.04911-14}, PUBLISHER = {American Society for Microbiology (ASM)}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Antimicrobial Agents and Chemotherapy}, VOLUME = {59}, NUMBER = {5}, PAGES = {2746--2755}, }
Endnote
%0 Journal Article %A Susser, Simone %A Flinders, Mathieu %A Reesink, Henk W. %A Zeuzem, Stefan %A Lawyer, Glenn %A Ghys, Anne %A Van Eygen, Veerle %A Witek, James %A De Meyer, Sandra %A Sarrazin, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Evolution of Hepatitis C Virus Quasispecies during Repeated Treatment with the NS3/4A Protease Inhibitor Telaprevir : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-1345-A %R 10.1128/AAC.04911-14 %7 2015 %D 2015 %J Antimicrobial Agents and Chemotherapy %V 59 %N 5 %& 2746 %P 2746 - 2755 %I American Society for Microbiology (ASM) %@ false
307. Tomazou EM, Sheffield NC, Schmidl C, Schuster M, Schoenegger A, Datlinger P, Kubicek S, Bock C, Kovar H: Epigenome Mapping Reveals Distinct Modes of Gene Regulation and Widespread Enhancer Reprogramming by the Oncogenic Fusion Protein EWS-FLI1. Cell Reports 2015, 10.
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@article{BockCellReports2015a, TITLE = {Epigenome Mapping Reveals Distinct Modes of Gene Regulation and Widespread Enhancer Reprogramming by the Oncogenic Fusion Protein {EWS}-{FLI1}}, AUTHOR = {Tomazou, Eleni M. and Sheffield, Nathan C. and Schmidl, Christian and Schuster, Michael and Schoenegger, Andreas and Datlinger, Paul and Kubicek, Stefan and Bock, Christoph and Kovar, Heinrich}, DOI = {10.1016/j.celrep.2015.01.042}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, MA}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Cell Reports}, VOLUME = {10}, NUMBER = {7}, PAGES = {1082--1095}, }
Endnote
%0 Journal Article %A Tomazou, Eleni M. %A Sheffield, Nathan C. %A Schmidl, Christian %A Schuster, Michael %A Schoenegger, Andreas %A Datlinger, Paul %A Kubicek, Stefan %A Bock, Christoph %A Kovar, Heinrich %+ external external external external external external external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external %T Epigenome Mapping Reveals Distinct Modes of Gene Regulation and Widespread Enhancer Reprogramming by the Oncogenic Fusion Protein EWS-FLI1 : %U http://hdl.handle.net/11858/00-001M-0000-0026-A0DB-4 %F ISI: 000349918700006 %R 10.1016/j.celrep.2015.01.042 %D 2015 %J Cell Reports %V 10 %N 7 %& 1082 %P 1082 - 1095 %I Cell Press %C Cambridge, MA
308. Wittler R, Marschall T, Schönhuth A, Mäkinen V: Repeat- and Error-aware Comparison of Deletions. Bioinformatics 2015, 31.
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@article{Marschall2015a, TITLE = {Repeat- and Error-aware Comparison of Deletions}, AUTHOR = {Wittler, Roland and Marschall, Tobias and Sch{\"o}nhuth, Alexander and M{\"a}kinen, Veli}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btv304}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Bioinformatics}, VOLUME = {31}, NUMBER = {18}, PAGES = {2947--2954}, }
Endnote
%0 Journal Article %A Wittler, Roland %A Marschall, Tobias %A Sch&#246;nhuth, Alexander %A M&#228;kinen, Veli %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Repeat- and Error-aware Comparison of Deletions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-E11C-4 %R 10.1093/bioinformatics/btv304 %7 2015 %D 2015 %J Bioinformatics %V 31 %N 18 %& 2947 %P 2947 - 2954 %I Oxford University Press %C Oxford %@ false
309. Wiwie C, Baumbach J, Röttger R: Comparing the Performance of Biomedical Clustering Methods. Nature Methods 2015, 12.
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@article{WiwieComparing2015, TITLE = {Comparing the Performance of Biomedical Clustering Methods}, AUTHOR = {Wiwie, Christian and Baumbach, Jan and R{\"o}ttger, Richard}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {10.1038/nmeth.3583}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2015}, DATE = {2015}, JOURNAL = {Nature Methods}, VOLUME = {12}, PAGES = {1033--1038}, }
Endnote
%0 Journal Article %A Wiwie, Christian %A Baumbach, Jan %A R&#246;ttger, Richard %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Comparing the Performance of Biomedical Clustering Methods : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0029-226E-A %R 10.1038/nmeth.3583 %7 2015 %D 2015 %J Nature Methods %O Nature methods %V 12 %& 1033 %P 1033 - 1038 %I Nature Pub. Group %C New York, NY %@ false
310. Zeke A, Bastys T, Alexa A, Garai Á, Mészáros B, Kirsch K, Dosztányi Z, Kalinina OV, Reményi A: Systematic Discovery of Linear Binding Motifs Targeting an Ancient Protein Interaction Surface on MAP Kinases. Molecular Systems Biology 2015, 11.
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@article{BastysKalinina15, TITLE = {Systematic Discovery of Linear Binding Motifs Targeting an Ancient Protein Interaction Surface on {MAP} Kinases}, AUTHOR = {Zeke, Andr{\'a}s and Bastys, Tomas and Alexa, Anita and Garai, {\'A}gnes and M{\'e}sz{\'a}ros, B{\'a}lint and Kirsch, Kl{\'a}ra and Doszt{\'a}nyi, Zsuzsanna and Kalinina, Olga V. and Rem{\'e}nyi, Attila}, LANGUAGE = {eng}, ISSN = {1744-4292}, DOI = {10.15252/msb.20156269}, PUBLISHER = {EMBO Press}, ADDRESS = {Heidelberg}, YEAR = {2015}, JOURNAL = {Molecular Systems Biology}, VOLUME = {11}, NUMBER = {11}, PAGES = {1--29}, EID = {837}, }
Endnote
%0 Journal Article %A Zeke, Andr&#225;s %A Bastys, Tomas %A Alexa, Anita %A Garai, &#193;gnes %A M&#233;sz&#225;ros, B&#225;lint %A Kirsch, Kl&#225;ra %A Doszt&#225;nyi, Zsuzsanna %A Kalinina, Olga V. %A Rem&#233;nyi, Attila %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Systematic Discovery of Linear Binding Motifs Targeting an Ancient Protein Interaction Surface on MAP Kinases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0028-F563-E %R 10.15252/msb.20156269 %7 2015-11-04 %D 2015 %8 04.11.2015 %J Molecular Systems Biology %V 11 %N 11 %& 1 %P 1 - 29 %Z sequence number: 837 %I EMBO Press %C Heidelberg %@ false %U http://msb.embopress.org/content/11/11/837
2014
311. Ahmad M, Kalinina O, Lengauer T: Entropy Gain Due to Water Release Upon Ligand Binding. Journal of Cheminformatics 2014, 6.
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@article{DBLP:journals/jcheminf/AhmadKL14, TITLE = {Entropy Gain Due to Water Release Upon Ligand Binding}, AUTHOR = {Ahmad, Mazen and Kalinina, Olga and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1758-2946}, DOI = {10.1186/1758-2946-6-S1-P35}, PUBLISHER = {BioMed Central}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Journal of Cheminformatics}, VOLUME = {6}, NUMBER = {S-1}, EID = {P35}, }
Endnote
%0 Journal Article %A Ahmad, Mazen %A Kalinina, Olga %A Lengauer, Thomas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Entropy Gain Due to Water Release Upon Ligand Binding : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6154-3 %R 10.1186/1758-2946-6-S1-P35 %7 2014 %D 2014 %J Journal of Cheminformatics %V 6 %N S-1 %Z sequence number: P35 %I BioMed Central %@ false %U https://rdcu.be/dO21y
312. Alcaraz N, Pauling J, Batra R, Barbosa E, Junge A, Christensen AGL, Azevedo V, Ditzel HJ, Baumbach J: KeyPathwayMiner 4.0: Condition-specific Pathway Analysis by Combining Multiple Omics Studies and Networks with Cytoscape. BMC Systems Biology 2014, 8.
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@article{AlcarazBMC2014, TITLE = {{KeyPathwayMiner} 4.0: Condition-specific Pathway Analysis by Combining Multiple Omics Studies and Networks with {Cytoscape}}, AUTHOR = {Alcaraz, Nicolas and Pauling, Josch and Batra, Richa and Barbosa, Eudes and Junge, Alexander and Christensen, Anne G. L. and Azevedo, Vasco and Ditzel, Henrik J. and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1752-0509}, DOI = {10.1186/s12918-014-0099-x}, PUBLISHER = {BioMedCentral}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {BMC Systems Biology}, VOLUME = {8}, EID = {99}, }
Endnote
%0 Journal Article %A Alcaraz, Nicolas %A Pauling, Josch %A Batra, Richa %A Barbosa, Eudes %A Junge, Alexander %A Christensen, Anne G. L. %A Azevedo, Vasco %A Ditzel, Henrik J. %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T KeyPathwayMiner 4.0: Condition-specific Pathway Analysis by Combining Multiple Omics Studies and Networks with Cytoscape : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6C98-D %F ISI: 000340909700001 %R 10.1186/s12918-014-0099-x %2 PMC4236746 %7 2014 %D 2014 %J BMC Systems Biology %V 8 %Z sequence number: 99 %I BioMedCentral %C London %@ false %U http://www.biomedcentral.com/1752-0509/8/99
313. Amabile G, Di Ruscio A, Müller F, Welner RS, Yang H, Ebralidze AK, Zhang H, Qi L, Martinelli G, Brummelkamp T, Le Beau MM, Figueroa ME, Bock C, Tenen DG: Cellular Reprogramming Erases Aberrant DNA Methylation and the Malignant Phenotype in Chronic Myeloid Leukemia. Blood 2014, 124.
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@article{AmabileBLOOD2014, TITLE = {Cellular Reprogramming Erases Aberrant {DNA} Methylation and the Malignant Phenotype in {Chronic Myeloid Leukemia}}, AUTHOR = {Amabile, Giovanni and Di Ruscio, Annalisa and M{\"u}ller, Fabian and Welner, Robert S. and Yang, Henry and Ebralidze, Alexander K. and Zhang, Hong and Qi, Lihua and Martinelli, Giovanni and Brummelkamp, Thijn and Le Beau, Michelle M. and Figueroa, Maria E. and Bock, Christoph and Tenen, Daniel G.}, LANGUAGE = {eng}, ISSN = {0006-4971}, PUBLISHER = {American Society of Hematology}, ADDRESS = {Washington, DC}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Blood}, VOLUME = {124}, NUMBER = {21}, PAGES = {4524--4524}, }
Endnote
%0 Journal Article %A Amabile, Giovanni %A Di Ruscio, Annalisa %A M&#252;ller, Fabian %A Welner, Robert S. %A Yang, Henry %A Ebralidze, Alexander K. %A Zhang, Hong %A Qi, Lihua %A Martinelli, Giovanni %A Brummelkamp, Thijn %A Le Beau, Michelle M. %A Figueroa, Maria E. %A Bock, Christoph %A Tenen, Daniel G. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Cellular Reprogramming Erases Aberrant DNA Methylation and the Malignant Phenotype in Chronic Myeloid Leukemia : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0025-ACB5-3 %F ISI: 000349243500052 %7 2014 %D 2014 %J Blood %O Blood %V 124 %N 21 %& 4524 %P 4524 - 4524 %I American Society of Hematology %C Washington, DC %@ false
314. Assenov Y, Müller F, Lutsik P, Walter J, Lengauer T, Bock C: Comprehensive Analysis of DNA Methylation Data with RnBeads. Nature Methods 2014, 11.
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@article{Assenov:2014kqa, TITLE = {Comprehensive Analysis of {DNA} Methylation Data with {RnBeads}}, AUTHOR = {Assenov, Yassen and M{\"u}ller, Fabian and Lutsik, Pavlo and Walter, J{\"o}rn and Lengauer, Thomas and Bock, Christoph}, LANGUAGE = {eng}, DOI = {10.1038/nmeth.3115}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Nature Methods}, VOLUME = {11}, NUMBER = {11}, PAGES = {1138--1140}, }
Endnote
%0 Journal Article %A Assenov, Yassen %A M&#252;ller, Fabian %A Lutsik, Pavlo %A Walter, J&#246;rn %A Lengauer, Thomas %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comprehensive Analysis of DNA Methylation Data with RnBeads : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-5D25-A %2 PMC4216143 %R 10.1038/nmeth.3115 %7 2014 %D 2014 %J Nature Methods %V 11 %N 11 %& 1138 %P 1138 - 1140 %I Nature Publishing Group %C London %U http://www.ncbi.nlm.nih.gov/pubmed/25262207
315. Assenov Y: Identification and Prioritization of Genomic Loci with Disease-specific Methylation. Universität des Saarlandes; 2014.
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@phdthesis{AssenovPhD2014, TITLE = {Identification and Prioritization of Genomic Loci with Disease-specific Methylation}, AUTHOR = {Assenov, Yassen}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-58865}, DOI = {10.22028/D291-26574}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Assenov, Yassen %Y Lengauer, Thomas %A referee: Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification and Prioritization of Genomic Loci with Disease-specific Methylation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E49E-D %U urn:nbn:de:bsz:291-scidok-58865 %R 10.22028/D291-26574 %F OTHER: hdl:20.500.11880/26630 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P IX, 142 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5886/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
316. Barbosa E, Röttger R, Hauschild A-C, Azevedo V, Baumbach J: On the Limits of Computational Functional Genomics for Bacterial Lifestyle Prediction. Briefings in Functional Genomics 2014, 13.
Abstract
We review the level of genomic specificity regarding actinobacterial pathogenicity. As they occupy various niches in diverse habitats, one may assume the existence of lifestyle-specific genomic features. We include 240 actinobacteria classified into four pathogenicity classes: human pathogens (HPs), broad-spectrum pathogens (BPs), opportunistic pathogens (OPs) and non-pathogenic (NP). We hypothesize: (H1) Pathogens (HPs and BPs) possess specific pathogenicity signature genes. (H2) The same holds for OPs. (H3) Broad-spectrum and exclusively HPs cannot be distinguished from each other because of an observation bias, i.e. many HPs might yet be unclassified BPs. (H4) There is no intrinsic genomic characteristic of OPs compared with pathogens, as small mutations are likely to play a more dominant role to survive the immune system. To study these hypotheses, we implemented a bioinformatics pipeline that combines evolutionary sequence analysis with statistical learning methods (Random Forest with feature selection, model tuning and robustness analysis). Essentially, we present orthologous gene sets that computationally distinguish pathogens from NPs (H1). We further show a clear limit in differentiating OPs from both NPs (H2) and pathogens (H4). HPs may also not be distinguished from bacteria annotated as BPs based only on a small set of orthologous genes (H3), as many HPs might as well target a broad range of mammals but have not been annotated accordingly. In conclusion, we illustrate that even in the post-genome era and despite next-generation sequencing technology, our ability to efficiently deduce real-world conclusions, such as pathogenicity classification, remains quite limited.
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@article{Barbosa2014, TITLE = {On the Limits of Computational Functional Genomics for Bacterial Lifestyle Prediction}, AUTHOR = {Barbosa, Eudes and R{\"o}ttger, Richard and Hauschild, Anne-Christin and Azevedo, Vasco and Baumbach, Jan}, LANGUAGE = {eng}, DOI = {10.1093/bfgp/elu014}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2014}, DATE = {2014-09-01}, ABSTRACT = {We review the level of genomic specificity regarding actinobacterial pathogenicity. As they occupy various niches in diverse habitats, one may assume the existence of lifestyle-specific genomic features. We include 240 actinobacteria classified into four pathogenicity classes: human pathogens (HPs), broad-spectrum pathogens (BPs), opportunistic pathogens (OPs) and non-pathogenic (NP). We hypothesize: (H1) Pathogens (HPs and BPs) possess specific pathogenicity signature genes. (H2) The same holds for OPs. (H3) Broad-spectrum and exclusively HPs cannot be distinguished from each other because of an observation bias, i.e. many HPs might yet be unclassified BPs. (H4) There is no intrinsic genomic characteristic of OPs compared with pathogens, as small mutations are likely to play a more dominant role to survive the immune system. To study these hypotheses, we implemented a bioinformatics pipeline that combines evolutionary sequence analysis with statistical learning methods (Random Forest with feature selection, model tuning and robustness analysis). Essentially, we present orthologous gene sets that computationally distinguish pathogens from NPs (H1). We further show a clear limit in differentiating OPs from both NPs (H2) and pathogens (H4). HPs may also not be distinguished from bacteria annotated as BPs based only on a small set of orthologous genes (H3), as many HPs might as well target a broad range of mammals but have not been annotated accordingly. In conclusion, we illustrate that even in the post-genome era and despite next-generation sequencing technology, our ability to efficiently deduce real-world conclusions, such as pathogenicity classification, remains quite limited.}, JOURNAL = {Briefings in Functional Genomics}, VOLUME = {13}, NUMBER = {5}, PAGES = {398--408}, }
Endnote
%0 Journal Article %A Barbosa, Eudes %A R&#246;ttger, Richard %A Hauschild, Anne-Christin %A Azevedo, Vasco %A Baumbach, Jan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Limits of Computational Functional Genomics for Bacterial Lifestyle Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-551D-2 %R 10.1093/bfgp/elu014 %7 2014-05-22 %D 2014 %8 01.09.2014 %X We review the level of genomic specificity regarding actinobacterial pathogenicity. As they occupy various niches in diverse habitats, one may assume the existence of lifestyle-specific genomic features. We include 240 actinobacteria classified into four pathogenicity classes: human pathogens (HPs), broad-spectrum pathogens (BPs), opportunistic pathogens (OPs) and non-pathogenic (NP). We hypothesize: (H1) Pathogens (HPs and BPs) possess specific pathogenicity signature genes. (H2) The same holds for OPs. (H3) Broad-spectrum and exclusively HPs cannot be distinguished from each other because of an observation bias, i.e. many HPs might yet be unclassified BPs. (H4) There is no intrinsic genomic characteristic of OPs compared with pathogens, as small mutations are likely to play a more dominant role to survive the immune system. To study these hypotheses, we implemented a bioinformatics pipeline that combines evolutionary sequence analysis with statistical learning methods (Random Forest with feature selection, model tuning and robustness analysis). Essentially, we present orthologous gene sets that computationally distinguish pathogens from NPs (H1). We further show a clear limit in differentiating OPs from both NPs (H2) and pathogens (H4). HPs may also not be distinguished from bacteria annotated as BPs based only on a small set of orthologous genes (H3), as many HPs might as well target a broad range of mammals but have not been annotated accordingly. In conclusion, we illustrate that even in the post-genome era and despite next-generation sequencing technology, our ability to efficiently deduce real-world conclusions, such as pathogenicity classification, remains quite limited. %J Briefings in Functional Genomics %V 13 %N 5 %& 398 %P 398 - 408 %I Oxford University Press %C Oxford %U http://bfgp.oxfordjournals.org/content/13/5/398.abstract
317. Bastys T, Doncheva NT, Walter H, Kaiser R, Albrecht M, Kalinina OV: Molecular Mechanisms of HIV-1 Protease Resistance and Resensitization towards Lopinavir and Saquinavir upon L76V Mutation. Antiviral Therapy 2014(Suppl. 1).
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@inproceedings{Bastys2014x, TITLE = {Molecular Mechanisms of {HIV}-1 Protease Resistance and Resensitization towards Lopinavir and Saquinavir upon {L76V} Mutation}, AUTHOR = {Bastys, Tomas and Doncheva, Nadezhda Tsankova and Walter, Hauke and Kaiser, R. and Albrecht, Mario and Kalinina, Olga V.}, LANGUAGE = {eng}, ISSN = {1359-6535}, PUBLISHER = {International Medical Press}, PUBLISHER = {International Medical Press}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge}, JOURNAL = {Antiviral Therapy}, VOLUME = {19}, ISSUE = {Suppl. 1}, EID = {A154}, ADDRESS = {Berlin, Germany}, }
Endnote
%0 Generic %A Bastys, Tomas %A Doncheva, Nadezhda Tsankova %A Walter, Hauke %A Kaiser, R. %A Albrecht, Mario %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Molecular Mechanisms of HIV-1 Protease Resistance and Resensitization towards Lopinavir and Saquinavir upon L76V Mutation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-9CE8-7 %D 2014 %Z name of event: International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %Z date of event: 2014-06-03 - 2014-06-07 %Z place of event: Berlin, Germany %B Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %J Antiviral Therapy %V 19 %N Suppl. 1 %Z sequence number: A154 %@ false
318. Becker D: BiQ Analyzer HiMod - an Interactive Software Tool for High-throughput Locus-specific Analysis of 5-Methylcyclosine and its Oxidized Derivatives. Universität des Saarlandes; 2014.
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@mastersthesis{Becker2014, TITLE = {{BiQ} Analyzer {HiMod} -- an Interactive Software Tool for High-throughput Locus-specific Analysis of 5-Methylcyclosine and its Oxidized Derivatives}, AUTHOR = {Becker, Daniel}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Becker, Daniel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T BiQ Analyzer HiMod - an Interactive Software Tool for High-throughput Locus-specific Analysis of 5-Methylcyclosine and its Oxidized Derivatives : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-C278-D %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %V master %9 master
319. Becker D, Lutsik P, Ebert P, Bock C, Lengauer T, Walter J: BiQ Analyzer HiMod: An Interactive Software Tool for High-throughput Locus-specific Analysis of 5-Methylcytosine and its Oxidized Derivatives. Nucleic Acids Research 2014, 42.
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@article{BeckerBiQ2014, TITLE = {{BiQ} Analyzer {HiMod}: An Interactive Software Tool for High-throughput Locus-specific Analysis of 5-Methylcytosine and its Oxidized Derivatives}, AUTHOR = {Becker, Daniel and Lutsik, Pavlo and Ebert, Peter and Bock, Christoph and Lengauer, Thomas and Walter, J{\"o}rn}, LANGUAGE = {eng}, ISSN = {0305-1048}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4086109&tool=pmcentrez&rendertype=abstract}, DOI = {10.1093/nar/gku457}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2014}, DATE = {2014-07-01}, JOURNAL = {Nucleic Acids Research}, VOLUME = {42}, NUMBER = {W1}, PAGES = {W501--W507}, }
Endnote
%0 Journal Article %A Becker, Daniel %A Lutsik, Pavlo %A Ebert, Peter %A Bock, Christoph %A Lengauer, Thomas %A Walter, J&#246;rn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T BiQ Analyzer HiMod: An Interactive Software Tool for High-throughput Locus-specific Analysis of 5-Methylcytosine and its Oxidized Derivatives : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6BE8-1 %F OTHER: accessionPMC4086109 %F OTHER: pmcidPMC4086109 %F OTHER: pmc-uid4086109 %R 10.1093/nar/gku457 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4086109&tool=pmcentrez&rendertype=abstract %7 2014-05-29 %D 2014 %8 01.07.2014 %J Nucleic Acids Research %O Nucleic Acids Res %V 42 %N W1 %& W501 %P W501 - W507 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/nar/gku457
320. Beggel B: Determining and Utilizing the Quasispecies of the Hepatitis B Virus in Clinical Applications. Universität des Saarlandes; 2014.
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@phdthesis{Beggeltheses2014, TITLE = {Determining and Utilizing the Quasispecies of the Hepatitis {B} Virus in Clinical Applications}, AUTHOR = {Beggel, Bastian}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-58317}, DOI = {10.22028/D291-26570}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Beggel, Bastian %Y Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Determining and Utilizing the Quasispecies of the Hepatitis B Virus in Clinical Applications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-5DFB-A %U urn:nbn:de:bsz:291-scidok-58317 %R 10.22028/D291-26570 %F OTHER: hdl:20.500.11880/26626 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P 138 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5831/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
321. Blankenburg H: Computational Methods for Integrating and Analyzing Human Systems Biology Data. Universität des Saarlandes; 2014.
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@phdthesis{Blankenburg2014, TITLE = {Computational Methods for Integrating and Analyzing Human Systems Biology Data}, AUTHOR = {Blankenburg, Hagen}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-59329}, DOI = {10.22028/D291-26582}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Blankenburg, Hagen %Y Albrecht, Mario %A referee: Helms, Volkhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Computational Methods for Integrating and Analyzing Human Systems Biology Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-9671-3 %U urn:nbn:de:bsz:291-scidok-59329 %R 10.22028/D291-26582 %F OTHER: hdl:20.500.11880/26638 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P 181 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5932/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
322. Bock C: Synergy and Competition between Cancer Genome Sequencing and Epigenome Mapping Projects. Genome Medicine 2014, 6.
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@article{BockSynergy2014, TITLE = {Synergy and Competition between Cancer Genome Sequencing and Epigenome Mapping Projects}, AUTHOR = {Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1756-994X}, DOI = {10.1186/gm557}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {Genome Medicine}, VOLUME = {6}, NUMBER = {5}, EID = {41}, }
Endnote
%0 Journal Article %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Synergy and Competition between Cancer Genome Sequencing and Epigenome Mapping Projects : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6BF1-D %R 10.1186/gm557 %2 PMC4062064 %7 2014 %D 2014 %J Genome Medicine %V 6 %N 5 %Z sequence number: 41 %I BioMed Central %C London %@ false %U http://genomemedicine.com/content/6/5/41
323. Deplus R, Blanchon L, Rajavelu A, Boukaba A, Defrance M, Luciani J, Rothe F, Dedeurwaerder S, Denis H, Brinkman AB, Simmer F, Müller F, Bertin B, Berdasco M, Putmans P, Calonne E, Litchfield DW, de Launoit Y, Jurkowski TP, Stunnenberg HG, Bock C, Sotiriou C, Fraga MF, Esteller M, Jeltsch A, Fuks F: Regulation of DNA Methylation Patterns by CK2-mediated Phosphorylation of Dnmt3a. Cell Reports 2014, 8.
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@article{Deplus2014, TITLE = {Regulation of {DNA} Methylation Patterns by {CK2}-mediated Phosphorylation of {Dnmt3a}}, AUTHOR = {Deplus, Rachel and Blanchon, Lo{\"i}c and Rajavelu, Arumugam and Boukaba, Abdelhalim and Defrance, Matthieu and Luciani, Judith and Rothe, Fran{\c c}oise and Dedeurwaerder, Sarah and Denis, H{\'e}l{\`e}ne and Brinkman, Arie B. and Simmer, Femke and M{\"u}ller, Fabian and Bertin, Benjamin and Berdasco, Maria and Putmans, Pascale and Calonne, Emilie and Litchfield, David W. and de Launoit, Yvan and Jurkowski, Tomasz P. and Stunnenberg, Hendrik G. and Bock, Christoph and Sotiriou, Christos and Fraga, Mario F. and Esteller, Manel and Jeltsch, Albert and Fuks, Fran{\c c}ois}, LANGUAGE = {eng}, DOI = {10.1016/j.celrep.2014.06.048}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Cell Reports}, VOLUME = {8}, NUMBER = {3}, PAGES = {743--753}, }
Endnote
%0 Journal Article %A Deplus, Rachel %A Blanchon, Lo&#239;c %A Rajavelu, Arumugam %A Boukaba, Abdelhalim %A Defrance, Matthieu %A Luciani, Judith %A Rothe, Fran&#231;oise %A Dedeurwaerder, Sarah %A Denis, H&#233;l&#232;ne %A Brinkman, Arie B. %A Simmer, Femke %A M&#252;ller, Fabian %A Bertin, Benjamin %A Berdasco, Maria %A Putmans, Pascale %A Calonne, Emilie %A Litchfield, David W. %A de Launoit, Yvan %A Jurkowski, Tomasz P. %A Stunnenberg, Hendrik G. %A Bock, Christoph %A Sotiriou, Christos %A Fraga, Mario F. %A Esteller, Manel %A Jeltsch, Albert %A Fuks, Fran&#231;ois %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Regulation of DNA Methylation Patterns by CK2-mediated Phosphorylation of Dnmt3a : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6BE1-F %F ISI: 000341572200012 %R 10.1016/j.celrep.2014.06.048 %7 2014 %D 2014 %J Cell Reports %V 8 %N 3 %& 743 %P 743 - 753 %I Elsevier %C Amsterdam %U http://www.sciencedirect.com/science/article/pii/S2211124714005324
324. Dietzen M: Modeling Protein Interactions in Protein Binding Sites and Oligomeric Protein Complexes. Universität des Saarlandes; 2014.
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@phdthesis{DietzenPhD2014, TITLE = {Modeling Protein Interactions in Protein Binding Sites and Oligomeric Protein Complexes}, AUTHOR = {Dietzen, Matthias}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-59402}, DOI = {10.22028/D291-25416}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Dietzen, Matthias %Y Lengauer, Thomas %A referee: Hildebrandt, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Modeling Protein Interactions in Protein Binding Sites and Oligomeric Protein Complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-E4A2-1 %U urn:nbn:de:bsz:291-scidok-59402 %R 10.22028/D291-25416 %F OTHER: hdl:20.500.11880/25472 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P XVIII, 259 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5940/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
325. Dietzen M, Zotenko E, Hildebrandt A, Lengauer T: Correction to On the Applicability of Elastic Network Normal Modes in Small-molecule Docking. Journal of Chemical Information and Modeling 2014, 54.
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@article{doi:10.1021/ci5006788, TITLE = {Correction to {O}n the Applicability of Elastic Network Normal Modes in Small-molecule Docking}, AUTHOR = {Dietzen, Matthias and Zotenko, Elena and Hildebrandt, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci5006788}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, DC}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {54}, NUMBER = {12}, PAGES = {3453--3453}, }
Endnote
%0 Journal Article %A Dietzen, Matthias %A Zotenko, Elena %A Hildebrandt, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Correction to On the Applicability of Elastic Network Normal Modes in Small-molecule Docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-925B-A %R 10.1021/ci5006788 %7 2014 %D 2014 %J Journal of Chemical Information and Modeling %V 54 %N 12 %& 3453 %P 3453 - 3453 %I American Chemical Society %C Washington, DC %@ false
326. Dirks M, Pfeifer N, Schulter E, Esser S, Fatkenheuer G, Jenssen B, Kaiser R, Verheyen J: Insertions and Deletions in p6-gag Correlate with the Predicted Cellular Tropism of HIV-1 V3 Sequences. Antiviral Therapy 2014(Suppl. 1).
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@inproceedings{Dirks2014x, TITLE = {Insertions and Deletions in p6-gag Correlate with the Predicted Cellular Tropism of {HIV}-1 V3 Sequences}, AUTHOR = {Dirks, M. and Pfeifer, Nico and Schulter, E. and Esser, S. and Fatkenheuer, G. and Jenssen, B. and Kaiser, R. and Verheyen, J.}, LANGUAGE = {eng}, ISSN = {1359-6535}, PUBLISHER = {International Medical Press}, PUBLISHER = {International Medical Press}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge}, JOURNAL = {Antiviral Therapy}, VOLUME = {19}, ISSUE = {Suppl. 1}, EID = {A116}, ADDRESS = {Berlin, Germany}, }
Endnote
%0 Generic %A Dirks, M. %A Pfeifer, Nico %A Schulter, E. %A Esser, S. %A Fatkenheuer, G. %A Jenssen, B. %A Kaiser, R. %A Verheyen, J. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Insertions and Deletions in p6-gag Correlate with the Predicted Cellular Tropism of HIV-1 V3 Sequences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-9CF8-3 %D 2014 %Z name of event: International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %Z date of event: 2014-06-03 - 2014-06-07 %Z place of event: Berlin, Germany %B Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %J Antiviral Therapy %V 19 %N Suppl. 1 %Z sequence number: A116 %@ false
327. Doncheva NT, Klein K, Morris JH, Wybrow M, Domingues FS, Albrecht M: Integrative Visual Analysis of Protein Sequence Mutations. BMC Proceedings (Proc BioVis 2013) 2014, 8(Suppl 2).
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@article{doncheva14a, TITLE = {Integrative Visual Analysis of Protein Sequence Mutations}, AUTHOR = {Doncheva, Nadezhda Tsankova and Klein, Karsten and Morris, John H. and Wybrow, Michael and Domingues, Francisco S. and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1753-6561}, DOI = {10.1186/1753-6561-8-S2-S2}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {BMC Proceedings (Proc. BioVis)}, VOLUME = {8}, NUMBER = {Suppl 2}, EID = {S2}, BOOKTITLE = {Proceedings of the 3rd Annual Symposium on Biological Data Visualization: Data Analysis and Redesign Contests (BioVis 2013)}, }
Endnote
%0 Journal Article %A Doncheva, Nadezhda Tsankova %A Klein, Karsten %A Morris, John H. %A Wybrow, Michael %A Domingues, Francisco S. %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Integrative Visual Analysis of Protein Sequence Mutations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-5D70-D %R 10.1186/1753-6561-8-S2-S2 %7 2014-08-28 %D 2014 %8 28.08.2014 %J BMC Proceedings %V 8 %N Suppl 2 %Z sequence number: S2 %I BioMed Central %C London %@ false %B Proceedings of the 3rd Annual Symposium on Biological Data Visualization: Data Analysis and Redesign Contests %O 3rd IEEE Symposium on Biological Data Visualization ; Atlanta, GA, USA ; 13-14 October 2013 BioVis 2013 %U http://www.biomedcentral.com/1753-6561/8/S2/S2
328. Döring M: Identification and Analysis of Methylation Call Differences Between Bisulphite Microarray and Bisulphite Sequencing Data With Statistical Learning Techniques. Universität des Saarlandes; 2014.
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@mastersthesis{Doering2014, TITLE = {Identification and Analysis of Methylation Call Differences Between Bisulphite Microarray and Bisulphite Sequencing Data With Statistical Learning Techniques}, AUTHOR = {D{\"o}ring, Matthias}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A D&#246;ring, Matthias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification and Analysis of Methylation Call Differences Between Bisulphite Microarray and Bisulphite Sequencing Data With Statistical Learning Techniques : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-C276-2 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %V master %9 master
329. Eckel SP, Baumbach J, Hauschild A-C: On the Importance of Statistics in Breath Analysis -- Hope or Curse?Journal of Breath Research 2014, 8.
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@article{Eckel2014, TITLE = {On the Importance of Statistics in Breath Analysis -- Hope or Curse?}, AUTHOR = {Eckel, Sandrah P. and Baumbach, Jan and Hauschild, Anne-Christin}, LANGUAGE = {eng}, ISSN = {1752-7155}, DOI = {10.1088/1752-7155/8/1/012001}, PUBLISHER = {IOP Publ.}, ADDRESS = {Bristol, UK}, YEAR = {2014}, JOURNAL = {Journal of Breath Research}, VOLUME = {8}, NUMBER = {1}, PAGES = {1--4}, EID = {012001}, }
Endnote
%0 Journal Article %A Eckel, Sandrah P. %A Baumbach, Jan %A Hauschild, Anne-Christin %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Importance of Statistics in Breath Analysis -- Hope or Curse? : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-3DF7-0 %F ISI: 000332654800001 %R 10.1088/1752-7155/8/1/012001 %2 PMC4014528 %7 2014-02-24 %D 2014 %8 24.02.2014 %J Journal of Breath Research %V 8 %N 1 %& 1 %P 1 - 4 %Z sequence number: 012001 %I IOP Publ. %C Bristol, UK %@ false
330. Feldmann A: Predicting HIV-1 Susceptibility to Broadly Neutralizing Antibodies. Universität des Saarlandes; 2014.
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@mastersthesis{Feldmann2014, TITLE = {Predicting {HIV}-1 Susceptibility to Broadly Neutralizing Antibodies}, AUTHOR = {Feldmann, Anna}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Feldmann, Anna %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting HIV-1 Susceptibility to Broadly Neutralizing Antibodies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-C27F-0 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %V master %9 master
331. Feuerbach L: Evolutionary Epigenomics - Identifying Functional Genome Elements by Epigenetic Footprints in the DNA. Universität des Saarlandes; 2014.
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@phdthesis{Feuerbach2014, TITLE = {Evolutionary Epigenomics -- Identifying Functional Genome Elements by Epigenetic Footprints in the {DNA}}, AUTHOR = {Feuerbach, Lars}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-58884}, DOI = {10.22028/D291-26575}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Feuerbach, Lars %Y Lengauer, Thomas %A referee: Jotun, Hein %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Evolutionary Epigenomics - Identifying Functional Genome Elements by Epigenetic Footprints in the DNA : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-9676-A %R 10.22028/D291-26575 %U urn:nbn:de:bsz:291-scidok-58884 %F OTHER: hdl:20.500.11880/26631 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P 205 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5888/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
332. Halachev K: Exploratory Visualizations and Statistical Analysis of Large, Heterogeneous Epigenetic Datasets. Universität des Saarlandes; 2014.
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@phdthesis{Halachev2014, TITLE = {Exploratory Visualizations and Statistical Analysis of Large, Heterogeneous Epigenetic Datasets}, AUTHOR = {Halachev, Konstantin}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-59112}, DOI = {10.22028/D291-26578}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Halachev, Konstantin %Y Lengauer, Thomas %A referee: Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Exploratory Visualizations and Statistical Analysis of Large, Heterogeneous Epigenetic Datasets : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-96A8-9 %R 10.22028/D291-26578 %U urn:nbn:de:bsz:291-scidok-59112 %F OTHER: hdl:20.500.11880/26634 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P 163 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5911/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
333. Hauschild A-C, Baumbach JI, Baumbach J: Novel Developments In Computational Clinical Breath Analysis and Biomarker Detection. In ECCB’14 Highlight Papers Abstracts; 2014.
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@inproceedings{HauschildECCB2014, TITLE = {Novel Developments In Computational Clinical Breath Analysis and Biomarker Detection}, AUTHOR = {Hauschild, Anne-Christin and Baumbach, J{\"o}rg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, YEAR = {2014}, BOOKTITLE = {ECCB'14 Highlight Papers Abstracts}, EID = {HP09}, ADDRESS = {Strasbourg, France}, }
Endnote
%0 Conference Proceedings %A Hauschild, Anne-Christin %A Baumbach, J&#246;rg Ingo %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Novel Developments In Computational Clinical Breath Analysis and Biomarker Detection : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-06CD-3 %D 2014 %B The 13th European Conference on Computational Biology %Z date of event: 2014-09-07 - 2014-09-10 %C Strasbourg, France %B ECCB'14 Highlight Papers Abstracts %Z sequence number: HP09 %U http://www.ebi.ac.uk/eccb/2014/eccb14.loria.fr/program/highlight-papers.html
334. Hildebrandt AK, Dietzen M, Lengauer T, Lenhof H-P, Althaus E, Hildebrandt A: Efficient Computation of Root Mean Square Deviations Under Rigid Transformations. Journal of Computational Chemistry 2014, 35.
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@article{HildebrandtJCC2014, TITLE = {Efficient Computation of Root Mean Square Deviations Under Rigid Transformations}, AUTHOR = {Hildebrandt, Anna K. and Dietzen, Matthias and Lengauer, Thomas and Lenhof, Hans-Peter and Althaus, Ernst and Hildebrandt, Andreas}, LANGUAGE = {eng}, ISSN = {0192-8651}, DOI = {10.1002/jcc.23513}, PUBLISHER = {Wiley}, ADDRESS = {New York, NY}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Journal of Computational Chemistry}, VOLUME = {35}, NUMBER = {10}, PAGES = {765--771}, }
Endnote
%0 Journal Article %A Hildebrandt, Anna K. %A Dietzen, Matthias %A Lengauer, Thomas %A Lenhof, Hans-Peter %A Althaus, Ernst %A Hildebrandt, Andreas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Efficient Computation of Root Mean Square Deviations Under Rigid Transformations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-3E35-B %F ISI: 000332446300001 %R 10.1002/jcc.23513 %7 2013-12-19 %D 2014 %J Journal of Computational Chemistry %O J. Comput. Chem. %V 35 %N 10 %& 765 %P 765 - 771 %I Wiley %C New York, NY %@ false
335. Jalali A, Pfeifer N: Interpretable Per Case Weighted Ensemble Method for Cancer Associations. In Algorithms in Bioinformatics (WABI 2014). Springer; 2014. [Lecture Notes in Bioinformatics, vol. 8701]
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@inproceedings{JalaliPfeifer2014, TITLE = {Interpretable Per Case Weighted Ensemble Method for Cancer Associations}, AUTHOR = {Jalali, Adrin and Pfeifer, Nico}, LANGUAGE = {eng}, ISBN = {978-3-662-44752-9}, DOI = {10.1007/978-3-662-44753-6_26}, PUBLISHER = {Springer}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Algorithms in Bioinformatics (WABI 2014)}, EDITOR = {Brown, Dan and Morgenstern, Burkhard}, PAGES = {352--353}, SERIES = {Lecture Notes in Bioinformatics}, VOLUME = {8701}, ADDRESS = {Wroclaw, Poland}, }
Endnote
%0 Conference Proceedings %A Jalali, Adrin %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Interpretable Per Case Weighted Ensemble Method for Cancer Associations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-901E-8 %R 10.1007/978-3-662-44753-6_26 %D 2014 %B 14th International Workshop on Algorithms in Bioinformatic %Z date of event: 2014-09-08 - 2014-09-10 %C Wroclaw, Poland %B Algorithms in Bioinformatics %E Brown, Dan; Morgenstern, Burkhard %P 352 - 353 %I Springer %@ 978-3-662-44752-9 %B Lecture Notes in Bioinformatics %N 8701
336. Kalaghatgi P, Lawyer G, Lengauer T: Estimating HIV Epidemic Characteristics from a Dated Transmission Network. In Reviews in Antiviral Therapy & Infectious Diseases. Volume 14-2. Virology Education; 2014.
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@inproceedings{Kalaghatgi2014Talk, TITLE = {Estimating {HIV} epidemic characteristics from a dated transmission network}, AUTHOR = {Kalaghatgi, Prabhav and Lawyer, Glenn and Lengauer, Thomas}, LANGUAGE = {eng}, PUBLISHER = {Virology Education}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Abstract Book 12th European Workshop on HIV \& Hepatitis Treatment Strategies \& Antiviral Drug Resistance}, PAGES = {3--3}, EID = {O-01}, JOURNAL = {Reviews in Antiviral Therapy \& Infectious Diseases}, VOLUME = {14-2}, ADDRESS = {Barcelona, Spain}, }
Endnote
%0 Conference Proceedings %A Kalaghatgi, Prabhav %A Lawyer, Glenn %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating HIV Epidemic Characteristics from a Dated Transmission Network : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6F33-C %D 2014 %B 12th European HIV & Hepatitis Workshop %Z date of event: 2014-03-26 - 2014-03-28 %C Barcelona, Spain %B Abstract Book 12th European Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance %P 3 - 3 %Z sequence number: O-01 %I Virology Education %J Reviews in Antiviral Therapy & Infectious Diseases %V 14-2
337. Kalinina OV, Lengauer T: Protein Structure Prediction and Databases. eLS 2014.
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@article{Kalinina2014, TITLE = {Protein Structure Prediction and Databases}, AUTHOR = {Kalinina, Olga V. and Lengauer, Thomas}, LANGUAGE = {eng}, DOI = {10.1002/9780470015902.a0006214.pub2}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2014}, JOURNAL = {eLS}, PAGES = {1--5}, }
Endnote
%0 Journal Article %A Kalinina, Olga V. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protein Structure Prediction and Databases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6169-6 %R 10.1002/9780470015902.a0006214.pub2 %7 2014-09-15 %D 2014 %8 15.09.2014 %J eLS %& 1 %P 1 - 5 %I Wiley %C Chichester
338. Kreuer S, Hauschild A-C, Fink T, Baumbach JI, Maddula S, Volk T: Two Different Approaches for Pharmacokinetic Modeling of Exhaled Drug Concentrations. Scientific Reports 2014, 4.
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@article{HauschildScientificReports2014, TITLE = {Two Different Approaches for Pharmacokinetic Modeling of Exhaled Drug Concentrations}, AUTHOR = {Kreuer, S. and Hauschild, Anne-Christin and Fink, T. and Baumbach, J. I. and Maddula, S. and Volk, Th}, LANGUAGE = {eng}, DOI = {10.1038/srep05423}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2014}, JOURNAL = {Scientific Reports}, VOLUME = {4}, EID = {5423}, }
Endnote
%0 Journal Article %A Kreuer, S. %A Hauschild, Anne-Christin %A Fink, T. %A Baumbach, J. I. %A Maddula, S. %A Volk, Th %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Two Different Approaches for Pharmacokinetic Modeling of Exhaled Drug Concentrations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-8071-7 %F ISI: 000337889800002 %R 10.1038/srep05423 %7 2014 %D 2014 %J Scientific Reports %O Sci. Rep. %V 4 %Z sequence number: 5423 %I Nature Publishing Group %C London, UK %U http://www.nature.com/srep/2014/140624/srep05423/pdf/srep05423.pdf
339. Lengauer T, Pfeifer N, Kaiser R: Personalized HIV Therapy to Control Drug Resistance. Drug Discovery Today: Technologies 2014, 11.
Abstract
The therapy of HIV patients is characterized by both the high genomic diversity of the virus population harbored by the patient and a substantial volume of therapy options. The virus population is unique for each patient and time point. The large number of therapy options makes it difficult to select an optimal or near optimal therapy, especially with therapy-experienced patients. In the past decade, computer-based support for therapy selection, which assesses the level of viral resistance against drugs has become a mainstay for HIV patients. We discuss the properties of available systems and the perspectives of the field.
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@article{Lengauer2014DDT, TITLE = {Personalized {HIV} Therapy to Control Drug Resistance}, AUTHOR = {Lengauer, Thomas and Pfeifer, Nico and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {17406749}, DOI = {10.1016/j.ddtec.2014.02.004}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2014}, DATE = {2014}, ABSTRACT = {The therapy of HIV patients is characterized by both the high genomic diversity of the virus population harbored by the patient and a substantial volume of therapy options. The virus population is unique for each patient and time point. The large number of therapy options makes it difficult to select an optimal or near optimal therapy, especially with therapy-experienced patients. In the past decade, computer-based support for therapy selection, which assesses the level of viral resistance against drugs has become a mainstay for HIV patients. We discuss the properties of available systems and the perspectives of the field.}, JOURNAL = {Drug Discovery Today: Technologies}, VOLUME = {11}, PAGES = {57--64}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Pfeifer, Nico %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Personalized HIV Therapy to Control Drug Resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-8FDD-0 %R 10.1016/j.ddtec.2014.02.004 %7 2014 %D 2014 %X The therapy of HIV patients is characterized by both the high genomic diversity of the virus population harbored by the patient and a substantial volume of therapy options. The virus population is unique for each patient and time point. The large number of therapy options makes it difficult to select an optimal or near optimal therapy, especially with therapy-experienced patients. In the past decade, computer-based support for therapy selection, which assesses the level of viral resistance against drugs has become a mainstay for HIV patients. We discuss the properties of available systems and the perspectives of the field. %J Drug Discovery Today: Technologies %V 11 %& 57 %P 57 - 64 %I Elsevier %C Amsterdam %@ false
340. List M, Hauschild A-C, Tan O, Kruse TA, Mollenhauer J, Baumbach J, Batra R: Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data. Journal of Integrative Bioinformatics 2014, 11.
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@article{ListJIB2014, TITLE = {Classification of Breast Cancer Subtypes by combining Gene Expression and {DNA} Methylation Data}, AUTHOR = {List, Markus and Hauschild, Anne-Christin and Tan, Oihua and Kruse, Torben A. and Mollenhauer, Jan and Baumbach, Jan and Batra, Richa}, LANGUAGE = {eng}, ISSN = {1613-4516}, DOI = {10.2390/biecoll-jib-2014-236}, PUBLISHER = {Universit{\"a}t Bielefeld}, ADDRESS = {Bielefeld}, YEAR = {2014}, JOURNAL = {Journal of Integrative Bioinformatics}, VOLUME = {11}, NUMBER = {2}, }
Endnote
%0 Journal Article %A List, Markus %A Hauschild, Anne-Christin %A Tan, Oihua %A Kruse, Torben A. %A Mollenhauer, Jan %A Baumbach, Jan %A Batra, Richa %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-002A-06F4-9 %R 10.2390/biecoll-jib-2014-236 %7 2014 %D 2014 %J Journal of Integrative Bioinformatics %O JIB %V 11 %N 2 %I Universit&#228;t Bielefeld %C Bielefeld %@ false %U http://biecoll.ub.uni-bielefeld.de/volltexte/2014/5317
341. Maurer F, Hauschild A-C, Eisinger K, Baumbach J, Mayor A, Baumbach JI: MIMA - A Software for Analyte Identification in MCC/IMS Chromatograms by Mapping Accompanying GC/MS Measurements. International Journal for Ion Mobility Spectrometry 2014, 17.
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@article{Hauschild2014a, TITLE = {{MIMA} -- A Software for Analyte Identification in {MCC/IMS} Chromatograms by Mapping Accompanying {GC/MS} Measurements}, AUTHOR = {Maurer, Felix and Hauschild, Anne-Christin and Eisinger, Kathrin and Baumbach, Jan and Mayor, Arno and Baumbach, J{\"o}rg Ingo}, LANGUAGE = {eng}, ISSN = {1435-6163; 1865-4584}, DOI = {10.1007/s12127-014-0149-5}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2014}, DATE = {2014}, JOURNAL = {International Journal for Ion Mobility Spectrometry}, VOLUME = {17}, NUMBER = {2}, PAGES = {95--101}, }
Endnote
%0 Journal Article %A Maurer, Felix %A Hauschild, Anne-Christin %A Eisinger, Kathrin %A Baumbach, Jan %A Mayor, Arno %A Baumbach, J&#246;rg Ingo %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T MIMA - A Software for Analyte Identification in MCC/IMS Chromatograms by Mapping Accompanying GC/MS Measurements : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-83B8-9 %R 10.1007/s12127-014-0149-5 %7 2014-04-05 %D 2014 %J International Journal for Ion Mobility Spectrometry %V 17 %N 2 %& 95 %P 95 - 101 %I Springer %C New York, NY %@ false
342. Metzler S: Identification of Gene Transfer Events in Viruses. Universität des Saarlandes; 2014.
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@mastersthesis{Metzler2014, TITLE = {Identification of Gene Transfer Events in Viruses}, AUTHOR = {Metzler, Saskia}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Metzler, Saskia %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of Gene Transfer Events in Viruses : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-C282-6 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %V master %9 master
343. Metzler S, Kalinina OV: Detection of Atypical Genes in Virus Families Using a One-class SVM. BMC Genomics 2014, 15.
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@article{metzler2014detection, TITLE = {Detection of Atypical Genes in Virus Families Using a One-class {SVM}}, AUTHOR = {Metzler, Saskia and Kalinina, Olga V.}, ISSN = {1471-2164}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4210486&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/1471-2164-15-913}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {BMC Genomics}, VOLUME = {15}, NUMBER = {1}, EID = {913}, }
Endnote
%0 Journal Article %A Metzler, Saskia %A Kalinina, Olga V. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Detection of Atypical Genes in Virus Families Using a One-class SVM : %U http://hdl.handle.net/11858/00-001M-0000-0024-5513-5 %F OTHER: accessionPMC4210486 %F OTHER: pmcidPMC4210486 %F OTHER: pmc-uid4210486 %F OTHER: publisher-id6601 %R 10.1186/1471-2164-15-913 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4210486&tool=pmcentrez&rendertype=abstract %7 2014-10-20 %D 2014 %8 20.10.2014 %K SVM %J BMC Genomics %V 15 %N 1 %Z sequence number: 913 %I BioMed Central %C London %@ false
344. Morris JH, Wu A, Doncheva NT, Albrecht M, Ferrin TE: SetsApp: Set operations for Cytoscape Nodes and Edges. Faculty of 1000 Research 2014, 3.
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@article{doncheva14b, TITLE = {{setsApp}: Set operations for {Cytoscape} Nodes and Edges}, AUTHOR = {Morris, John H and Wu, Allan and Doncheva, Nadezhda Tsankova and Albrecht, Mario and Ferrin, Thomas E}, LANGUAGE = {eng}, URL = {http://f1000research.com/articles/3-149/v1}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {Faculty of 1000 Research}, VOLUME = {3}, PAGES = {1--10}, EID = {149}, }
Endnote
%0 Journal Article %A Morris, John H %A Wu, Allan %A Doncheva, Nadezhda Tsankova %A Albrecht, Mario %A Ferrin, Thomas E %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T SetsApp: Set operations for Cytoscape Nodes and Edges : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-5D6D-A %U http://f1000research.com/articles/3-149/v1 %7 2014 %D 2014 %J Faculty of 1000 Research %O F1000Research %V 3 %& 1 %P 1 - 10 %Z sequence number: 149 %I BioMed Central %C London
345. Neumann-Fraune M, Beggel B, Kaiser R, Obermeier M: Hepatitis B Virus Drug Resistance Tools: One Sequence, Two Predictions. Intervirology 2014, 57.
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@article{Neumann-Fraune2014, TITLE = {Hepatitis {B} Virus Drug Resistance Tools: {One} Sequence, Two Predictions}, AUTHOR = {Neumann-Fraune, Maria and Beggel, Bastian and Kaiser, Rolf and Obermeier, Martin}, LANGUAGE = {eng}, ISSN = {0300-5526}, DOI = {10.1159/000361076}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Intervirology}, VOLUME = {57}, NUMBER = {3-4}, PAGES = {232--236}, }
Endnote
%0 Journal Article %A Neumann-Fraune, Maria %A Beggel, Bastian %A Kaiser, Rolf %A Obermeier, Martin %+ external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external external %T Hepatitis B Virus Drug Resistance Tools: One Sequence, Two Predictions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-3CF5-2 %F ISI: 000339137300015 %R 10.1159/000361076 %D 2014 %J Intervirology %V 57 %N 3-4 %& 232 %P 232 - 236 %I Karger %C Basel %@ false
346. Nikumbh S, Ghosh S, Jayaraman VK: Biogeography-Based Optimization for Dynamic Optimization of Chemical Reactors. In Applications of Metaheuristics in Process Engineering. Berlin: Springer; 2014.
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@incollection{Nikumbh2014, TITLE = {Biogeography-Based Optimization for Dynamic Optimization of Chemical Reactors}, AUTHOR = {Nikumbh, Sarvesh and Ghosh, Shameek and Jayaraman, Valadi K.}, LANGUAGE = {eng}, ISBN = {978-3-319-06507-6}, DOI = {10.1007/978-3-319-06508-3_8}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Applications of Metaheuristics in Process Engineering}, EDITOR = {Valadi, Jayaraman and Siarry, Patrick}, PAGES = {201--216}, }
Endnote
%0 Book Section %A Nikumbh, Sarvesh %A Ghosh, Shameek %A Jayaraman, Valadi K. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Biogeography-Based Optimization for Dynamic Optimization of Chemical Reactors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-8F17-E %R 10.1007/978-3-319-06508-3_8 %D 2014 %B Applications of Metaheuristics in Process Engineering %E Valadi, Jayaraman; Siarry, Patrick %P 201 - 216 %I Springer %C Berlin %@ 978-3-319-06507-6
347. O’Neill K, Jalali A, Aghaeepour N, Hoos H, Brinkman RR: Enhanced flowType/RchyOptimyx: a Bioconductor Pipeline for Discovery in High-dimensional Cytometry Data. Bioinformatics 2014, 30.
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@article{JalaliBioinformatics2014, TITLE = {Enhanced {flowType/RchyOptimyx}: a {B}ioconductor Pipeline for Discovery in High-dimensional Cytometry Data}, AUTHOR = {O'Neill, Kieran and Jalali, Adrin and Aghaeepour, Nima and Hoos, Holger and Brinkman, Ryan R.}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btt770}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Bioinformatics}, VOLUME = {30}, NUMBER = {9}, PAGES = {1329--1330}, }
Endnote
%0 Journal Article %A O'Neill, Kieran %A Jalali, Adrin %A Aghaeepour, Nima %A Hoos, Holger %A Brinkman, Ryan R. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Enhanced flowType/RchyOptimyx: a Bioconductor Pipeline for Discovery in High-dimensional Cytometry Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-809B-B %F ISI: 000336095100031 %R 10.1093/bioinformatics/btt770 %7 2014 %D 2014 %J Bioinformatics %V 30 %N 9 %& 1329 %P 1329 - 1330 %I Oxford University Press %C Oxford, UK %@ false
348. Pfeifer N, Walter H, Lengauer T: Association Between HIV-1 Coreceptor Usage and Resistance to Broadly Neutralizing Antibodies. Journal of Acquired Immune Deficiency Syndromes : JAIDS 2014, 67.
Abstract
Background: Recently discovered broadly neutralizing antibodies have revitalized hopes of developing a universal vaccine against HIV-1. Mainly responsible for new infections are variants only using CCR5 for cell entry, whereas CXCR4-using variants can become dominant in later infection stages. Methods: We performed a statistical analysis on two different previously published data sets. The first data set was a panel of 199 diverse HIV-1 isolates for which IC50 neutralization titers were determined for the broadly neutralizing antibodies VRC01, VRC-PG04, PG9, and PG16. The second data set contained env sequences of viral variants extracted from HIV-1–infected humanized mice treated with the antibody PGT128 and from untreated control mice. Results: For the panel of 199 diverse HIV-1 isolates, we found a statistically significant association between viral resistance to PG9 and PG16 and CXCR4 coreceptor usage (P = 0.0011 and P = 0.0010, respectively). Our analysis of viral variants from HIV-1–infected humanized mice under treatment with the broadly neutralizing antibody PGT128 indicated that certain antibodies might drive a viral population toward developing CXCR4 coreceptor usage capability (P = 0.0011 for the comparison between PGT128 and control measurement). Conclusions: These analyses highlight the importance of accounting for a possible coreceptor usage bias pertaining to the effectiveness of an HIV vaccine and to passive antibody transfer as therapeutic approach.
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@article{PfeiferJAIDS2014, TITLE = {Association Between {HIV}-1 Coreceptor Usage and Resistance to Broadly Neutralizing Antibodies}, AUTHOR = {Pfeifer, Nico and Walter, Hauke and Lengauer, Thomas}, LANGUAGE = {eng}, DOI = {10.1097/QAI.0000000000000283}, PUBLISHER = {Lippincott Williams \& Wilkins}, ADDRESS = {Philadelphia, PA}, YEAR = {2014}, DATE = {2014-10-01}, ABSTRACT = {Background: Recently discovered broadly neutralizing antibodies have revitalized hopes of developing a universal vaccine against HIV-1. Mainly responsible for new infections are variants only using CCR5 for cell entry, whereas CXCR4-using variants can become dominant in later infection stages. Methods: We performed a statistical analysis on two different previously published data sets. The first data set was a panel of 199 diverse HIV-1 isolates for which IC50 neutralization titers were determined for the broadly neutralizing antibodies VRC01, VRC-PG04, PG9, and PG16. The second data set contained env sequences of viral variants extracted from HIV-1--infected humanized mice treated with the antibody PGT128 and from untreated control mice. Results: For the panel of 199 diverse HIV-1 isolates, we found a statistically significant association between viral resistance to PG9 and PG16 and CXCR4 coreceptor usage (P = 0.0011 and P = 0.0010, respectively). Our analysis of viral variants from HIV-1--infected humanized mice under treatment with the broadly neutralizing antibody PGT128 indicated that certain antibodies might drive a viral population toward developing CXCR4 coreceptor usage capability (P = 0.0011 for the comparison between PGT128 and control measurement). Conclusions: These analyses highlight the importance of accounting for a possible coreceptor usage bias pertaining to the effectiveness of an HIV vaccine and to passive antibody transfer as therapeutic approach.}, JOURNAL = {Journal of Acquired Immune Deficiency Syndromes : JAIDS}, VOLUME = {67}, NUMBER = {2}, PAGES = {107--112}, }
Endnote
%0 Journal Article %A Pfeifer, Nico %A Walter, Hauke %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Association Between HIV-1 Coreceptor Usage and Resistance to Broadly Neutralizing Antibodies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-5527-A %R 10.1097/QAI.0000000000000283 %2 PMC4175123 %7 2014-09-24 %D 2014 %8 01.10.2014 %X Background: Recently discovered broadly neutralizing antibodies have revitalized hopes of developing a universal vaccine against HIV-1. Mainly responsible for new infections are variants only using CCR5 for cell entry, whereas CXCR4-using variants can become dominant in later infection stages. Methods: We performed a statistical analysis on two different previously published data sets. The first data set was a panel of 199 diverse HIV-1 isolates for which IC50 neutralization titers were determined for the broadly neutralizing antibodies VRC01, VRC-PG04, PG9, and PG16. The second data set contained env sequences of viral variants extracted from HIV-1&#8211;infected humanized mice treated with the antibody PGT128 and from untreated control mice. Results: For the panel of 199 diverse HIV-1 isolates, we found a statistically significant association between viral resistance to PG9 and PG16 and CXCR4 coreceptor usage (P = 0.0011 and P = 0.0010, respectively). Our analysis of viral variants from HIV-1&#8211;infected humanized mice under treatment with the broadly neutralizing antibody PGT128 indicated that certain antibodies might drive a viral population toward developing CXCR4 coreceptor usage capability (P = 0.0011 for the comparison between PGT128 and control measurement). Conclusions: These analyses highlight the importance of accounting for a possible coreceptor usage bias pertaining to the effectiveness of an HIV vaccine and to passive antibody transfer as therapeutic approach. %J Journal of Acquired Immune Deficiency Syndromes : JAIDS %V 67 %N 2 %& 107 %P 107 - 112 %I Lippincott Williams & Wilkins %C Philadelphia, PA
349. Pironti A, Pfeifer N, Kaiser R, Walter H, Lengauer T: Improved HIV-1 Drug-exposure Reconstruction with Linear Support Vector Machines. In Reviews in Antiviral Therapy & Infectious Diseases. Volume 14-2. Virology Education; 2014.
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@inproceedings{Pironti2014z, TITLE = {Improved {HIV}-1 Drug-exposure Reconstruction with Linear Support Vector Machines}, AUTHOR = {Pironti, Alejandro and Pfeifer, Nico and Kaiser, Rolf and Walter, Hauke and Lengauer, Thomas}, LANGUAGE = {eng}, PUBLISHER = {Virology Education}, YEAR = {2014}, BOOKTITLE = {Abstract Book 12th European Workshop on HIV \& Hepatitis Treatment Strategies \& Antiviral Drug Resistance}, PAGES = {67--67}, EID = {P-55}, JOURNAL = {Reviews in Antiviral Therapy \& Infectious Diseases}, VOLUME = {14-2}, ADDRESS = {Barcelona, Spain}, }
Endnote
%0 Conference Proceedings %A Pironti, Alejandro %A Pfeifer, Nico %A Kaiser, Rolf %A Walter, Hauke %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved HIV-1 Drug-exposure Reconstruction with Linear Support Vector Machines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6681-4 %D 2014 %B 12th European HIV & Hepatitis Workshop %Z date of event: 2014-03-26 - 2014-03-28 %C Barcelona, Spain %B Abstract Book 12th European Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance %P 67 - 67 %Z sequence number: P-55 %I Virology Education %J Reviews in Antiviral Therapy & Infectious Diseases %V 14-2
350. Pironti A, Sierra S, Kaiser R, Lengauer T, Pfeifer N: Simulation of Sanger-sequencing Errors in the Context of Genotypic Tropism Determination. Antiviral Therapy 2014(Supplement 1).
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@inproceedings{Pironti2013c, TITLE = {Simulation of {S}anger-sequencing Errors in the Context of Genotypic Tropism Determination}, AUTHOR = {Pironti, Alejandro and Sierra, Saleta and Kaiser, Rolf and Lengauer, Thomas and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1359-6535}, PUBLISHER = {International Medical Press}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge}, EID = {A81}, JOURNAL = {Antiviral Therapy}, VOLUME = {19}, ISSUE = {Supplement 1}, }
Endnote
%0 Generic %A Pironti, Alejandro %A Sierra, Saleta %A Kaiser, Rolf %A Lengauer, Thomas %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Simulation of Sanger-sequencing Errors in the Context of Genotypic Tropism Determination : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-668A-1 %D 2014 %B Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %Z sequence number: A81 %J Antiviral Therapy %V 19 %N Supplement 1 %@ false
351. Pironti A, Pfeifer N, Kaiser R, Walter H, Lengauer T: Accurate Prediction of Drug-exposure Without Using Established Drug-resistance Mutations. Antiviral Therapy 2014(Suppl. 1).
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@inproceedings{Pironti2013b, TITLE = {Accurate Prediction of Drug-exposure Without Using Established Drug-resistance Mutations}, AUTHOR = {Pironti, Alejandro and Pfeifer, Nico and Kaiser, Rolf and Walter, Hauke and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1359-6535}, PUBLISHER = {International Medical Press}, PUBLISHER = {International Medical Press}, YEAR = {2014}, DATE = {2014}, BOOKTITLE = {Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge}, JOURNAL = {Antiviral Therapy}, VOLUME = {19}, ISSUE = {Suppl. 1}, EID = {A75}, ADDRESS = {Berlin, Germany}, }
Endnote
%0 Generic %A Pironti, Alejandro %A Pfeifer, Nico %A Kaiser, Rolf %A Walter, Hauke %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Accurate Prediction of Drug-exposure Without Using Established Drug-resistance Mutations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-667A-5 %D 2014 %Z name of event: International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %Z date of event: 2014-06-03 - 2014-06-07 %Z place of event: Berlin, Germany %B Abstracts presented at the International Workshop on Antiviral Drug Resistance: Meeting the Global Challenge %J Antiviral Therapy %V 19 %N Suppl. 1 %Z sequence number: A75 %@ false
352. Pironti A, Pfeifer N, Kaiser R, Walter H, Lengauer T: Improved Therapy-success Prediction with GSS Estimated from Clinical HIV-1 Sequences. Journal of the International AIDS Society (Proc HIV Glasgow 2014) 2014, 17(Suppl 3).
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@article{Pironti2013d, TITLE = {Improved Therapy-success Prediction with {GSS} Estimated from Clinical {HIV}-1 Sequences}, AUTHOR = {Pironti, Alejandro and Pfeifer, Nico and Kaiser, Rolf and Walter, Hauke and Lengauer, Thomas}, LANGUAGE = {eng}, PUBLISHER = {International AIDS Society}, ADDRESS = {Geneva}, YEAR = {2014}, JOURNAL = {Journal of the International AIDS Society (Proc. HIV Glasgow)}, VOLUME = {17}, NUMBER = {Suppl 3}, EID = {19743}, BOOKTITLE = {Abstract Supplement of the HIV Drug Therapy Glasgow Congress 2014 (HIV Glasgow 2014)}, EDITOR = {Kippax, Susan and Sow, Papa Salif and Wainberg, Marc}, }
Endnote
%0 Journal Article %A Pironti, Alejandro %A Pfeifer, Nico %A Kaiser, Rolf %A Walter, Hauke %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved Therapy-success Prediction with GSS Estimated from Clinical HIV-1 Sequences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-66A7-1 %7 2014-11-02 %D 2014 %8 02.11.2014 %J Journal of the International AIDS Society %V 17 %N Suppl 3 %Z sequence number: 19743 %I International AIDS Society %C Geneva %B Abstract Supplement of the HIV Drug Therapy Glasgow Congress 2014 %O HIV Glasgow 2014
353. Planello AC, Ji J, Sharma V, Singhania R, Mbabaali F, Müller F, Alfaro JA, Bock C, De Carvalho DD, Batada NN: Aberrant DNA Methylation Reprogramming During Induced Pluripotent Stem Cell Generation is Dependent on the Choice of Reprogramming Factors. Cell Regeneration 2014, 3.
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@article{BockAberrant2014, TITLE = {Aberrant {DNA} Methylation Reprogramming During Induced Pluripotent Stem Cell Generation is Dependent on the Choice of Reprogramming Factors}, AUTHOR = {Planello, Aline C. and Ji, Junfeng and Sharma, Vivek and Singhania, Rajat and Mbabaali, Faridah and M{\"u}ller, Fabian and Alfaro, Javier A. and Bock, Christoph and De Carvalho, Daniel D. and Batada, Nizar N.}, LANGUAGE = {eng}, ISSN = {2045-9769}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4230737&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/2045-9769-3-4}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {Cell Regeneration}, VOLUME = {3}, NUMBER = {1}, EID = {4}, }
Endnote
%0 Journal Article %A Planello, Aline C. %A Ji, Junfeng %A Sharma, Vivek %A Singhania, Rajat %A Mbabaali, Faridah %A M&#252;ller, Fabian %A Alfaro, Javier A. %A Bock, Christoph %A De Carvalho, Daniel D. %A Batada, Nizar N. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Aberrant DNA Methylation Reprogramming During Induced Pluripotent Stem Cell Generation is Dependent on the Choice of Reprogramming Factors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6BCF-C %F OTHER: accessionPMC4230737 %F OTHER: pmcidPMC4230737 %F OTHER: pmc-uid4230737 %F OTHER: publisher-id19 %R 10.1186/2045-9769-3-4 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4230737&tool=pmcentrez&rendertype=abstract %7 2014-02-07 %D 2014 %8 07.02.2014 %J Cell Regeneration %V 3 %N 1 %Z sequence number: 4 %I BioMed Central %C London %@ false
354. Röttger R: Active Transitivity Clustering of Large-scale Biomedical Datasets. Universität des Saarlandes; 2014.
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@phdthesis{Roettger2014, TITLE = {Active Transitivity Clustering of Large-scale Biomedical Datasets}, AUTHOR = {R{\"o}ttger, Richard}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-58098}, DOI = {10.22028/D291-26566}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A R&#246;ttger, Richard %A referee: Lengauer, Thomas %Y Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Active Transitivity Clustering of Large-scale Biomedical Datasets : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-96BE-A %R 10.22028/D291-26566 %U urn:nbn:de:bsz:291-scidok-58098 %F OTHER: hdl:20.500.11880/26622 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P 215 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5809/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
355. Schelhorn SE: Going Viral : an Integrated View on Virological Data Analysis from Basic Research to Clinical Applications. Universität des Saarlandes; 2014.
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@phdthesis{Schelhorn2014, TITLE = {Going Viral : an Integrated View on Virological Data Analysis from Basic Research to Clinical Applications}, AUTHOR = {Schelhorn, Sven Eric}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-57246}, DOI = {10.22028/D291-23735}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2014}, DATE = {2014}, }
Endnote
%0 Thesis %A Schelhorn, Sven Eric %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Going Viral : an Integrated View on Virological Data Analysis from Basic Research to Clinical Applications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-96C0-2 %R 10.22028/D291-23735 %U urn:nbn:de:bsz:291-scidok-57246 %F OTHER: hdl:20.500.11880/23791 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2014 %P 323 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2014/5724/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
356. Schulz MH: Letting the Data Speak for Themselves: a Fully Bayesian Approach to Transcriptome Assembly. Genome Biology 2014, 15.
Abstract
A novel method for transcriptome assembly, Bayesembler, provides greater accuracy without sacrifice of computational speed, and particular advantages for alternative transcripts expressed at low levels.
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@article{s13059-014-0498-8, TITLE = {Letting the Data Speak for Themselves: a Fully {B}ayesian Approach to Transcriptome Assembly}, AUTHOR = {Schulz, Marcel H.}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/s13059-014-0498-8}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2014}, DATE = {2014}, ABSTRACT = {A novel method for transcriptome assembly, Bayesembler, provides greater accuracy without sacrifice of computational speed, and particular advantages for alternative transcripts expressed at low levels.}, JOURNAL = {Genome Biology}, VOLUME = {15}, NUMBER = {10}, EID = {498}, }
Endnote
%0 Journal Article %A Schulz, Marcel H. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Letting the Data Speak for Themselves: a Fully Bayesian Approach to Transcriptome Assembly : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-934A-8 %R 10.1186/s13059-014-0498-8 %7 2014-10-31 %D 2014 %X A novel method for transcriptome assembly, Bayesembler, provides greater accuracy without sacrifice of computational speed, and particular advantages for alternative transcripts expressed at low levels. %J Genome Biology %V 15 %N 10 %Z sequence number: 498 %I BioMed Central Ltd. %C London %@ false %U http://genomebiology.com/2014/15/10/498
357. Schulz MH, Weese D, Holtgrewe M, Dimitrova V, Niu S, Reinert K, Richard H: Fiona: A Parallel and Automatic Strategy for Read Error Correction. Bioinformatics (Proc ECCB 2014) 2014, 30.
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@article{SchulzBioinformatics2014, TITLE = {Fiona: A Parallel and Automatic Strategy for Read Error Correction}, AUTHOR = {Schulz, Marcel H. and Weese, David and Holtgrewe, Manuel and Dimitrova, Viktoria and Niu, Sijia and Reinert, Knut and Richard, Hugues}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btu440}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2014}, DATE = {2014}, JOURNAL = {Bioinformatics (Proc. ECCB)}, VOLUME = {30}, NUMBER = {17}, PAGES = {I356--I363}, BOOKTITLE = {The 13th European Conference on Computational Biology (ECCB 2014)}, }
Endnote
%0 Journal Article %A Schulz, Marcel H. %A Weese, David %A Holtgrewe, Manuel %A Dimitrova, Viktoria %A Niu, Sijia %A Reinert, Knut %A Richard, Hugues %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Fiona: A Parallel and Automatic Strategy for Read Error Correction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6C8D-7 %F ISI: 000342912400003 %R 10.1093/bioinformatics/btu440 %7 2014 %D 2014 %J Bioinformatics %V 30 %N 17 %& I356 %P I356 - I363 %I Oxford University Press %C Oxford %@ false %B The 13th European Conference on Computational Biology %O ECCB 2014 held from September 7 to 10, 2014 at the Congress Center of Strasbourg, France
358. Setty Y: In-silico Models of Stem Cell and Developmental Systems. Theoretical Biology & Medical Modelling 2014, 11.
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@article{SettyTBMM2014, TITLE = {In-silico Models of Stem Cell and Developmental Systems}, AUTHOR = {Setty, Yaki}, LANGUAGE = {eng}, ISSN = {1742-4682}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3896968&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/1742-4682-11-1}, PUBLISHER = {BioMed Central}, YEAR = {2014}, JOURNAL = {Theoretical Biology \& Medical Modelling}, VOLUME = {11}, PAGES = {1--11}, EID = {1}, }
Endnote
%0 Journal Article %A Setty, Yaki %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T In-silico Models of Stem Cell and Developmental Systems : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-3D0D-F %F OTHER: accessionPMC3896968 %F OTHER: pmcidPMC3896968 %F OTHER: pmc-uid3896968 %F OTHER: publisher-id1742-4682-11-1 %R 10.1186/1742-4682-11-1 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3896968&tool=pmcentrez&rendertype=abstract %7 2014-01-08 %D 2014 %8 08.01.2014 %J Theoretical Biology & Medical Modelling %O Theor Biol Med Model %V 11 %& 1 %P 1 - 11 %Z sequence number: 1 %I BioMed Central %@ false
359. Smolinska A, Hauschild A-C, Fijten R, Dallinga J, Baumbach J, van Schooten F: Current Breathomics - a Review on Data Pre-processing Techniques and Machine Learning in Metabolomics Breath Analysis. Journal of Breath Research 2014, 8.
Abstract
We define breathomics as the metabolomics study of exhaled air. It is a strongly emerging metabolomics research field that mainly focuses on health-related Volatile Organic Compounds (VOCs). Since the composition of these compounds varies depending on health status, breathomics holds great promise as non-invasive diagnostic tool. Thusthe main aim of breathomics is to find the patterns of VOCs relatedto deviant (for instance inflammatory) metabolic processes occurring e.g. inthe human body. Consequently, methods for recording VOCs in exhaledair for diagnosis and monitoring health status gained increased attentionover the last years. As a result, measuring breath air high-throughput and in high resolution has enormously developed. Yet machine learning solutions for fingerprinting VOCs profiles in the breathomics research field arestill in their infancy. Therefore in this review/tutorial we describe the current state of the art in data pre-processing and analysis. We start with detailed pre-processing pipelines for breathomics data obtained from Gas-Chromatography Mass Spectrometry and Ion Mobility Spectrometer coupled to Multi-Capillary Columns. The final result of such pipelines is a matrix containing the relative abundances of a set of VOCs for a group ofpatients under different conditions (e.g. disease stage, treatment). Independently of the utilized analytical technique the most important question: �Which VOCs are discriminatory�, remains the same. Hence, in the main part of our review/tutorial we focus on several modern machine learning methods (multivariate statistics). We demonstrate the advantages as well the drawbacks of such techniques. We aim to help the breath analysis community to understand when and how one can profitfrom a certain method. In parallel, we hope to make the community aware of the existing, yet in breathomics unmet research data fusion methods.
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@article{Hauschild2014, TITLE = {Current Breathomics -- a Review on Data Pre-processing Techniques and Machine Learning in Metabolomics Breath Analysis}, AUTHOR = {Smolinska, Agnieszka and Hauschild, Anne-Christin and Fijten, Rianne and Dallinga, Jan and Baumbach, Jan and van Schooten, Frederik}, LANGUAGE = {eng}, DOI = {10.1088/1752-7155/8/2/027105}, PUBLISHER = {IOP}, ADDRESS = {Bristol}, YEAR = {2014}, DATE = {2014}, ABSTRACT = {We define breathomics as the metabolomics study of exhaled air. It is a strongly emerging metabolomics research field that mainly focuses on health-related Volatile Organic Compounds (VOCs). Since the composition of these compounds varies depending on health status, breathomics holds great promise as non-invasive diagnostic tool. Thusthe main aim of breathomics is to find the patterns of VOCs relatedto deviant (for instance inflammatory) metabolic processes occurring e.g. inthe human body. Consequently, methods for recording VOCs in exhaledair for diagnosis and monitoring health status gained increased attentionover the last years. As a result, measuring breath air high-throughput and in high resolution has enormously developed. Yet machine learning solutions for fingerprinting VOCs profiles in the breathomics research field arestill in their infancy. Therefore in this review/tutorial we describe the current state of the art in data pre-processing and analysis. We start with detailed pre-processing pipelines for breathomics data obtained from Gas-Chromatography Mass Spectrometry and Ion Mobility Spectrometer coupled to Multi-Capillary Columns. The final result of such pipelines is a matrix containing the relative abundances of a set of VOCs for a group ofpatients under different conditions (e.g. disease stage, treatment). Independently of the utilized analytical technique the most important question: {\diamond}Which VOCs are discriminatory{\diamond}, remains the same. Hence, in the main part of our review/tutorial we focus on several modern machine learning methods (multivariate statistics). We demonstrate the advantages as well the drawbacks of such techniques. We aim to help the breath analysis community to understand when and how one can profitfrom a certain method. In parallel, we hope to make the community aware of the existing, yet in breathomics unmet research data fusion methods.}, JOURNAL = {Journal of Breath Research}, VOLUME = {8}, NUMBER = {2}, EID = {027105}, }
Endnote
%0 Journal Article %A Smolinska, Agnieszka %A Hauschild, Anne-Christin %A Fijten, Rianne %A Dallinga, Jan %A Baumbach, Jan %A van Schooten, Frederik %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Current Breathomics - a Review on Data Pre-processing Techniques and Machine Learning in Metabolomics Breath Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-66CC-F %R 10.1088/1752-7155/8/2/027105 %7 2014 %D 2014 %X We define breathomics as the metabolomics study of exhaled air. It is a strongly emerging metabolomics research field that mainly focuses on health-related Volatile Organic Compounds (VOCs). Since the composition of these compounds varies depending on health status, breathomics holds great promise as non-invasive diagnostic tool. Thusthe main aim of breathomics is to find the patterns of VOCs relatedto deviant (for instance inflammatory) metabolic processes occurring e.g. inthe human body. Consequently, methods for recording VOCs in exhaledair for diagnosis and monitoring health status gained increased attentionover the last years. As a result, measuring breath air high-throughput and in high resolution has enormously developed. Yet machine learning solutions for fingerprinting VOCs profiles in the breathomics research field arestill in their infancy. Therefore in this review/tutorial we describe the current state of the art in data pre-processing and analysis. We start with detailed pre-processing pipelines for breathomics data obtained from Gas-Chromatography Mass Spectrometry and Ion Mobility Spectrometer coupled to Multi-Capillary Columns. The final result of such pipelines is a matrix containing the relative abundances of a set of VOCs for a group ofpatients under different conditions (e.g. disease stage, treatment). Independently of the utilized analytical technique the most important question: &#65533;Which VOCs are discriminatory&#65533;, remains the same. Hence, in the main part of our review/tutorial we focus on several modern machine learning methods (multivariate statistics). We demonstrate the advantages as well the drawbacks of such techniques. We aim to help the breath analysis community to understand when and how one can profitfrom a certain method. In parallel, we hope to make the community aware of the existing, yet in breathomics unmet research data fusion methods. %J Journal of Breath Research %V 8 %N 2 %Z sequence number: 027105 %I IOP %C Bristol
360. Struck D, Lawyer G, Ternes A-M, Schmit J-C, Perez Bercoff D: COMET: Adaptive Context-based Modeling for Ultrafast HIV-1 Subtype Identification. Nucleic Acids Research 2014, 42.
Abstract
Viral sequence classification has wide applications in clinical, epidemiological, structural and functional categorization studies. Most existing approaches rely on an initial alignment step followed by classification based on phylogenetic or statistical algorithms. Here we present an ultrafast alignment-free subtyping tool for human immunodeficiency virus type one (HIV-1) adapted from Prediction by Partial Matching compression. This tool, named COMET, was compared to the widely used phylogeny-based REGA and SCUEAL tools using synthetic and clinical HIV data sets (1 090 698 and 10 625 sequences, respectively). COMET's sensitivity and specificity were comparable to or higher than the two other subtyping tools on both data sets for known subtypes. COMET also excelled in detecting and identifying new recombinant forms, a frequent feature of the HIV epidemic. Runtime comparisons showed that COMET was almost as fast as USEARCH. This study demonstrates the advantages of alignment-free classification of viral sequences, which feature high rates of variation, recombination and insertions/deletions. COMET is free to use via an online interface.
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@article{Struck2014, TITLE = {{COMET}: {A}daptive Context-based Modeling for Ultrafast {HIV}-1 Subtype Identification}, AUTHOR = {Struck, Daniel and Lawyer, Glenn and Ternes, Anne-Marie and Schmit, Jean-Claude and Perez Bercoff, Danielle}, ISSN = {0301-5610}, DOI = {10.1093/nar/gku739}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2014}, DATE = {2014}, ABSTRACT = {Viral sequence classification has wide applications in clinical, epidemiological, structural and functional categorization studies. Most existing approaches rely on an initial alignment step followed by classification based on phylogenetic or statistical algorithms. Here we present an ultrafast alignment-free subtyping tool for human immunodeficiency virus type one (HIV-1) adapted from Prediction by Partial Matching compression. This tool, named COMET, was compared to the widely used phylogeny-based REGA and SCUEAL tools using synthetic and clinical HIV data sets (1 090 698 and 10 625 sequences, respectively). COMET's sensitivity and specificity were comparable to or higher than the two other subtyping tools on both data sets for known subtypes. COMET also excelled in detecting and identifying new recombinant forms, a frequent feature of the HIV epidemic. Runtime comparisons showed that COMET was almost as fast as USEARCH. This study demonstrates the advantages of alignment-free classification of viral sequences, which feature high rates of variation, recombination and insertions/deletions. COMET is free to use via an online interface.}, JOURNAL = {Nucleic Acids Research}, VOLUME = {42}, NUMBER = {18}, EID = {e144}, }
Endnote
%0 Journal Article %A Struck, Daniel %A Lawyer, Glenn %A Ternes, Anne-Marie %A Schmit, Jean-Claude %A Perez Bercoff, Danielle %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T COMET: Adaptive Context-based Modeling for Ultrafast HIV-1 Subtype Identification : %U http://hdl.handle.net/11858/00-001M-0000-0024-CA34-B %R 10.1093/nar/gku739 %D 2014 %X Viral sequence classification has wide applications in clinical, epidemiological, structural and functional categorization studies. Most existing approaches rely on an initial alignment step followed by classification based on phylogenetic or statistical algorithms. Here we present an ultrafast alignment-free subtyping tool for human immunodeficiency virus type one (HIV-1) adapted from Prediction by Partial Matching compression. This tool, named COMET, was compared to the widely used phylogeny-based REGA and SCUEAL tools using synthetic and clinical HIV data sets (1 090 698 and 10 625 sequences, respectively). COMET's sensitivity and specificity were comparable to or higher than the two other subtyping tools on both data sets for known subtypes. COMET also excelled in detecting and identifying new recombinant forms, a frequent feature of the HIV epidemic. Runtime comparisons showed that COMET was almost as fast as USEARCH. This study demonstrates the advantages of alignment-free classification of viral sequences, which feature high rates of variation, recombination and insertions/deletions. COMET is free to use via an online interface. %J Nucleic Acids Research %O Nucleic Acids Res. %V 42 %N 18 %Z sequence number: e144 %I Oxford University Press %C Oxford %@ false %U http://nar.oxfordjournals.org/content/early/2014/08/12/nar.gku739.abstract
361. Sun P, Speicher NK, Roettger R, Guo J, Baumbach J: Bi-Force: Large-scale Bicluster Editing and its Application to Gene Expression Data Biclustering. Nucleic Acids Research 2014, 42.
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@article{SunNAR2014, TITLE = {Bi-{Force}: {L}arge-scale bicluster editing and its application to gene expression data biclustering}, AUTHOR = {Sun, Peng and Speicher, Nora K. and Roettger, Richard and Guo, Jiong and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gku201}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2014}, JOURNAL = {Nucleic Acids Research}, VOLUME = {42}, NUMBER = {9}, PAGES = {1--12}, EID = {e78}, }
Endnote
%0 Journal Article %A Sun, Peng %A Speicher, Nora K. %A Roettger, Richard %A Guo, Jiong %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bi-Force: Large-scale Bicluster Editing and its Application to Gene Expression Data Biclustering : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-3CEC-7 %F ISI: 000336495400005 %R 10.1093/nar/gku201 %7 2014 %D 2014 %J Nucleic Acids Research %O Nucleic Acids Res %V 42 %N 9 %& 1 %P 1 - 12 %Z sequence number: e78 %I Oxford University Press %C Oxford, UK %@ false
362. Tobi EW, Goeman JJ, Monajemi R, Gu H, Putter H, Zhang Y, Slieker RC, Stok AP, Thijssen PE, Müller F, van Zwet EW, Bock C, Meissner A, Lumey LH, Eline Slagboom P, Heijmans BT: DNA Methylation Signatures Link Prenatal Famine Exposure to Growth and Metabolism. Nature Communications 2014, 5.
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@article{Tobi:2014br, TITLE = {{DNA} Methylation Signatures Link Prenatal Famine Exposure to Growth and Metabolism}, AUTHOR = {Tobi, Elmar W and Goeman, Jelle J and Monajemi, Ramin and Gu, Hongcang and Putter, Hein and Zhang, Yanju and Slieker, Roderick C and Stok, Arthur P and Thijssen, Peter E and M{\"u}ller, Fabian and van Zwet, Erik W and Bock, Christoph and Meissner, Alexander and Lumey, L H and Eline Slagboom, P and Heijmans, Bastiaan T}, LANGUAGE = {eng}, DOI = {10.1038/ncomms6592}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2014}, JOURNAL = {Nature Communications}, VOLUME = {5}, PAGES = {1--13}, EID = {5592}, }
Endnote
%0 Journal Article %A Tobi, Elmar W %A Goeman, Jelle J %A Monajemi, Ramin %A Gu, Hongcang %A Putter, Hein %A Zhang, Yanju %A Slieker, Roderick C %A Stok, Arthur P %A Thijssen, Peter E %A M&#252;ller, Fabian %A van Zwet, Erik W %A Bock, Christoph %A Meissner, Alexander %A Lumey, L H %A Eline Slagboom, P %A Heijmans, Bastiaan T %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T DNA Methylation Signatures Link Prenatal Famine Exposure to Growth and Metabolism : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-5D1A-4 %R 10.1038/ncomms6592 %7 2014 %D 2014 %J Nature Communications %V 5 %& 1 %P 1 - 13 %Z sequence number: 5592 %I Nature Publishing Group %C London %U http://www.nature.com/ncomms/2014/141126/ncomms6592/full/ncomms6592.html
363. Vu D, Szöke S, Wiwie C, Baumbach J, Cardinali G, Röttger R, Robert V: Massive Fungal Biodiversity Data Re-annotation with Multi-level Clustering. Scientific Reports 2014, 4.
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@article{DuanSR2014, TITLE = {Massive Fungal Biodiversity Data Re-annotation with Multi-level Clustering}, AUTHOR = {Vu, Duong and Sz{\"o}ke, Sz{\'a}niszl{\'o} and Wiwie, Christian and Baumbach, Jan and Cardinali, Gianluigi and R{\"o}ttger, Richard and Robert, Vincent}, LANGUAGE = {eng}, DOI = {10.1038/srep06837}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2014}, JOURNAL = {Scientific Reports}, VOLUME = {4}, PAGES = {1--9}, EID = {6837}, }
Endnote
%0 Journal Article %A Vu, Duong %A Sz&#246;ke, Sz&#225;niszl&#243; %A Wiwie, Christian %A Baumbach, Jan %A Cardinali, Gianluigi %A R&#246;ttger, Richard %A Robert, Vincent %+ external external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external external Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society external %T Massive Fungal Biodiversity Data Re-annotation with Multi-level Clustering : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-8F2B-2 %R 10.1038/srep06837 %7 2014-10-30 %D 2014 %8 30.10.2014 %J Scientific Reports %O Sci. Rep. %V 4 %& 1 %P 1 - 9 %Z sequence number: 6837 %I Nature Publishing Group %C London, UK
2013
364. Beggel B, Neumann-Fraune M, Kaiser R, Verheyen J, Lengauer T: Inferring Short-Range Linkage Information from Sequencing Chromatograms. PLoS One 2013, 8.
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@article{Beggel2013b, TITLE = {Inferring Short-Range Linkage Information from Sequencing Chromatograms}, AUTHOR = {Beggel, Bastian and Neumann-Fraune, Maria and Kaiser, Rolf and Verheyen, Jens and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0081687}, LOCALID = {Local-ID: 87C1C5C13FE500FCC1257C61003E526A-Beggel2013b}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, JOURNAL = {PLoS One}, VOLUME = {8}, NUMBER = {12}, PAGES = {1--8}, EID = {e81687}, }
Endnote
%0 Journal Article %A Beggel, Bastian %A Neumann-Fraune, Maria %A Kaiser, Rolf %A Verheyen, Jens %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inferring Short-Range Linkage Information from Sequencing Chromatograms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-851F-E %R 10.1371/journal.pone.0081687 %F OTHER: Local-ID: 87C1C5C13FE500FCC1257C61003E526A-Beggel2013b %7 2013-12-20 %D 2013 %8 20.12.2013 %J PLoS One %V 8 %N 12 %& 1 %P 1 - 8 %Z sequence number: e81687 %I Public Library of Science %C San Francisco, CA %@ false
365. Beggel B, Münk C, Däumer M, Hauck K, Häussinger D, Lengauer T, Ehrhardt A: Full Genome Ultra-deep Pyrosequencing Associates G-to-A-hypermutation of the Hepatitis B Virus Genome with the Natural Progression of Hepatitis B. Journal of Viral Hepatitis 2013, 20.
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@article{lengauer2013k, TITLE = {Full Genome Ultra-deep Pyrosequencing Associates {G-to-A-hypermutation} of the Hepatitis {B} Virus Genome with the Natural Progression of Hepatitis {B}}, AUTHOR = {Beggel, Bastian and M{\"u}nk, C. and D{\"a}umer, M. and Hauck, K. and H{\"a}ussinger, D. and Lengauer, Thomas and Ehrhardt, A.}, LANGUAGE = {eng}, ISSN = {1352-0504}, DOI = {10.1111/jvh.12110}, LOCALID = {Local-ID: E5B67F4DBA747F50C1257C0B00359108-lengauer2013k}, PUBLISHER = {Wiley-Blackwell}, ADDRESS = {Oxford}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Journal of Viral Hepatitis}, VOLUME = {20}, NUMBER = {12}, PAGES = {882--889}, }
Endnote
%0 Journal Article %A Beggel, Bastian %A M&#252;nk, C. %A D&#228;umer, M. %A Hauck, K. %A H&#228;ussinger, D. %A Lengauer, Thomas %A Ehrhardt, A. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Full Genome Ultra-deep Pyrosequencing Associates G-to-A-hypermutation of the Hepatitis B Virus Genome with the Natural Progression of Hepatitis B : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7C18-0 %R 10.1111/jvh.12110 %F OTHER: Local-ID: E5B67F4DBA747F50C1257C0B00359108-lengauer2013k %7 2013-06-07 %D 2013 %J Journal of Viral Hepatitis %V 20 %N 12 %& 882 %P 882 - 889 %I Wiley-Blackwell %C Oxford %@ false
366. Bhadra T, Battacharya M, Feuerbach L, Lengauer T, Bandyopadhyay S: DNA Methylation Patterns Facilitate the Identification of MicroRNA Transcription Start Sites: A Brain-specific Study. PLoS One 2013, 8.
Abstract
Predicting the transcription start sites (TSSs) of microRNAs (miRNAs) is important for understanding how these small RNA molecules, known to regulate translation and stability of protein-coding genes, are regulated themselves. Previous approaches are primarily based on genetic features, trained on TSSs of protein-coding genes, and have low prediction accuracy. Recently, a support vector machine based technique has been proposed for miRNA TSS prediction that uses known miRNA TSS for training the classifier along with a set of existing and novel CpG island based features. Current progress in epigenetics research has provided genomewide and tissue-specific reports about various phenotypic traits. We hypothesize that incorporating epigenetic characteristics into statistical models may lead to better prediction of primary transcripts of human miRNAs. In this paper, we have tested our hypothesis on brain-specific miRNAs by using epigenetic as well as genetic features to predict the primary transcripts. For this, we have used a sophisticated feature selection technique and a robust classification model. Our prediction model achieves an accuracy of more than 80% and establishes the potential of epigenetic analysis for in silico prediction of TSSs.
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@article{lengauer2013j, TITLE = {{DNA} Methylation Patterns Facilitate the Identification of {microRNA} Transcription Start Sites: A Brain-specific Study}, AUTHOR = {Bhadra, Tapas and Battacharya, Malay and Feuerbach, Lars and Lengauer, Thomas and Bandyopadhyay, Sanghamitra}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691241/?tool=pmcentrez&report=abstract}, DOI = {10.1371/journal.pone.0066722}, LOCALID = {Local-ID: 43F7490EA03DDC21C1257C0B00351960-lengauer2013j}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, ABSTRACT = {Predicting the transcription start sites (TSSs) of microRNAs (miRNAs) is important for understanding how these small RNA molecules, known to regulate translation and stability of protein-coding genes, are regulated themselves. Previous approaches are primarily based on genetic features, trained on TSSs of protein-coding genes, and have low prediction accuracy. Recently, a support vector machine based technique has been proposed for miRNA TSS prediction that uses known miRNA TSS for training the classifier along with a set of existing and novel CpG island based features. Current progress in epigenetics research has provided genomewide and tissue-specific reports about various phenotypic traits. We hypothesize that incorporating epigenetic characteristics into statistical models may lead to better prediction of primary transcripts of human miRNAs. In this paper, we have tested our hypothesis on brain-specific miRNAs by using epigenetic as well as genetic features to predict the primary transcripts. For this, we have used a sophisticated feature selection technique and a robust classification model. Our prediction model achieves an accuracy of more than 80% and establishes the potential of epigenetic analysis for in silico prediction of TSSs.}, JOURNAL = {PLoS One}, VOLUME = {8}, NUMBER = {6}, EID = {e66722}, }
Endnote
%0 Journal Article %A Bhadra, Tapas %A Battacharya, Malay %A Feuerbach, Lars %A Lengauer, Thomas %A Bandyopadhyay, Sanghamitra %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T DNA Methylation Patterns Facilitate the Identification of MicroRNA Transcription Start Sites: A Brain-specific Study : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7C0B-C %R 10.1371/journal.pone.0066722 %2 PMC3691241 %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691241/?tool=pmcentrez&report=abstract %F OTHER: Local-ID: 43F7490EA03DDC21C1257C0B00351960-lengauer2013j %7 2013-06-24 %D 2013 %8 24.06.2013 %X Predicting the transcription start sites (TSSs) of microRNAs (miRNAs) is important for understanding how these small RNA molecules, known to regulate translation and stability of protein-coding genes, are regulated themselves. Previous approaches are primarily based on genetic features, trained on TSSs of protein-coding genes, and have low prediction accuracy. Recently, a support vector machine based technique has been proposed for miRNA TSS prediction that uses known miRNA TSS for training the classifier along with a set of existing and novel CpG island based features. Current progress in epigenetics research has provided genomewide and tissue-specific reports about various phenotypic traits. We hypothesize that incorporating epigenetic characteristics into statistical models may lead to better prediction of primary transcripts of human miRNAs. In this paper, we have tested our hypothesis on brain-specific miRNAs by using epigenetic as well as genetic features to predict the primary transcripts. For this, we have used a sophisticated feature selection technique and a robust classification model. Our prediction model achieves an accuracy of more than 80% and establishes the potential of epigenetic analysis for in silico prediction of TSSs. %J PLoS One %V 8 %N 6 %Z sequence number: e66722 %I Public Library of Science %C San Francisco, CA %@ false %U http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0066722
367. Bock C, Wutz A: DNA Methylation: A Matter of Culture. Nature Structural and Molecular Biology 2013, 20.
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@article{Bock2013bz, TITLE = {{DNA} Methylation: A Matter of Culture}, AUTHOR = {Bock, Christoph and Wutz, Anton}, LANGUAGE = {eng}, ISSN = {1545-9993}, DOI = {doi:10.1038/nsmb.2531}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2013}, JOURNAL = {Nature Structural and Molecular Biology}, VOLUME = {20}, PAGES = {249--251}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Wutz, Anton %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T DNA Methylation: A Matter of Culture : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A891-6 %R doi:10.1038/nsmb.2531 %7 2013-03-05 %D 2013 %8 05.03.2013 %J Nature Structural and Molecular Biology %O Nature Struct Biol %V 20 %& 249 %P 249 - 251 %I Nature Pub. Group %C New York, NY %@ false
368. Bozek K, Lengauer T, Sierra S, Kaiser R, Domingues FS: Analysis of Physicochemical and Structural Properties Determining HIV-1 Coreceptor Usage. PLOS Computational Biology 2013, 9.
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@article{lengauer2012g, TITLE = {Analysis of Physicochemical and Structural Properties Determining {HIV}-1 Coreceptor Usage}, AUTHOR = {Bozek, Katarzyna and Lengauer, Thomas and Sierra, Saleta and Kaiser, Rolf and Domingues, Francisco S.}, LANGUAGE = {eng}, ISSN = {1553-734X}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3605109&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pcbi.1002977}, LOCALID = {Local-ID: A15B25110B236E58C1257AD3004DB1C1-lengauer2012g}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, JOURNAL = {PLOS Computational Biology}, VOLUME = {9}, NUMBER = {3}, PAGES = {1--13}, EID = {e1002977}, }
Endnote
%0 Journal Article %A Bozek, Katarzyna %A Lengauer, Thomas %A Sierra, Saleta %A Kaiser, Rolf %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Analysis of Physicochemical and Structural Properties Determining HIV-1 Coreceptor Usage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7975-5 %2 3605109 %F OTHER: Local-ID: A15B25110B236E58C1257AD3004DB1C1-lengauer2012g %R 10.1371/journal.pcbi.1002977 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3605109&tool=pmcentrez&rendertype=abstract %7 2013-03-21 %D 2013 %8 21.03.2013 %J PLOS Computational Biology %O PLOS Comput Biol %V 9 %N 3 %& 1 %P 1 - 13 %Z sequence number: e1002977 %I Public Library of Science %C San Francisco, CA %@ false %U https://doi.org/10.1371/journal.pcbi.1002977
369. Cao K, Lailler N, Zhang Y, Kumar A, Uppal K, Liu Z, Lee EK, Wu H, Medrzycki M, Pan C, Ho P-Y, Cooper GP, Dong X, Bock C, Bouhassira EE, Fan Y: High-resolution Mapping of H1 Linker Histone Variants in Embryonic Stem Cells. PLoS Genetics 2013, 9.
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@article{Cao2013, TITLE = {High-Resolution Mapping of {H1} Linker Histone Variants in Embryonic Stem Cells}, AUTHOR = {Cao, Kaixiang and Lailler, Nathalie and Zhang, Yunzhe and Kumar, Ashwath and Uppal, Karan and Liu, Zheng and Lee, Eva K. and Wu, Hongwei and Medrzycki, Magdalena and Pan, Chenyi and Ho, Po-Yi and Cooper, Guy P. and Dong, Xiao and Bock, Christoph and Bouhassira, Eric E. and Fan, Yuhong}, LANGUAGE = {eng}, ISSN = {1553-7390; 1553-7404}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3636266&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pgen.1003417}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, USA}, YEAR = {2013}, DATE = {2013-04}, JOURNAL = {PLoS Genetics}, DEBUG = {author: Bock, Christoph}, VOLUME = {9}, NUMBER = {4}, EID = {e1003417}, }
Endnote
%0 Journal Article %A Cao, Kaixiang %A Lailler, Nathalie %A Zhang, Yunzhe %A Kumar, Ashwath %A Uppal, Karan %A Liu, Zheng %A Lee, Eva K. %A Wu, Hongwei %A Medrzycki, Magdalena %A Pan, Chenyi %A Ho, Po-Yi %A Cooper, Guy P. %A Dong, Xiao %A Bock, Christoph %A Bouhassira, Eric E. %A Fan, Yuhong %A contributor: Bickmore, Wendy A. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T High-resolution Mapping of H1 Linker Histone Variants in Embryonic Stem Cells : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-AB5A-A %2 3636266 %F OTHER: publisher-idPGENETICS-D-12-00919 %R 10.1371/journal.pgen.1003417 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3636266&tool=pmcentrez&rendertype=abstract %7 2013-04-25 %D 2013 %J PLoS Genetics %V 9 %N 4 %Z sequence number: e1003417 %I Public Library of Science %C San Francisco, USA %@ false
370. Dietz J, Schelhorn SE, Fitting D, Mihm U, Susser S, Welker M-W, Füller C, Däumer M, Teuber G, Wedemeyer H, Berg T, Lengauer T, Zeuzem S, Herrmann E, Sarrazin C: Deep Sequencing Reveals Mutagenic Effects of Ribavirin During Monotherapy of HCV Genotype 1-infected Patients. Journal of Virology 2013, 87.
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@article{lengauer2013h, TITLE = {Deep Sequencing Reveals Mutagenic Effects of Ribavirin During Monotherapy of {HCV} Genotype 1-infected Patients}, AUTHOR = {Dietz, Julia and Schelhorn, Sven Eric and Fitting, Daniel and Mihm, Ulrike and Susser, Simone and Welker, Martin-Walter and F{\"u}ller, Caterina and D{\"a}umer, Martin and Teuber, Gerlinde and Wedemeyer, Heiner and Berg, Thomas and Lengauer, Thomas and Zeuzem, Stefan and Herrmann, Eva and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {0022-538X}, DOI = {10.1128/JVI.02778-12}, LOCALID = {Local-ID: 14C01737FFEEBB1BC1257C0B0032E872-lengauer2013h}, PUBLISHER = {American Society for Microbiology}, ADDRESS = {Washington, DC}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Journal of Virology}, VOLUME = {87}, NUMBER = {11}, PAGES = {6172--6181}, }
Endnote
%0 Journal Article %A Dietz, Julia %A Schelhorn, Sven Eric %A Fitting, Daniel %A Mihm, Ulrike %A Susser, Simone %A Welker, Martin-Walter %A F&#252;ller, Caterina %A D&#228;umer, Martin %A Teuber, Gerlinde %A Wedemeyer, Heiner %A Berg, Thomas %A Lengauer, Thomas %A Zeuzem, Stefan %A Herrmann, Eva %A Sarrazin, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Deep Sequencing Reveals Mutagenic Effects of Ribavirin During Monotherapy of HCV Genotype 1-infected Patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7C00-2 %2 PMC3648094 %R 10.1128/JVI.02778-12 %F OTHER: Local-ID: 14C01737FFEEBB1BC1257C0B0032E872-lengauer2013h %7 2013-03-27 %D 2013 %J Journal of Virology %V 87 %N 11 %& 6172 %P 6172 - 6181 %I American Society for Microbiology %C Washington, DC %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648094/
371. Ellinghaus D, Zhang H, Zeissig S, Lipinski S, Till A, Jiang T, Stade B, Bromberg Y, Ellinghaus E, Keller A, Rivas MA, Skieceviciene J, Doncheva NT, Liu X, Liu Q, Jiang F, Forster M, Mayr G, Albrecht M, Häsler R, Boehm BO, Goodall J, Berzuini CR, Lee J, Andersen V, Vogel U, Kupcinskas L, Kayser M, Krawczak M, Nikolaus S, et al.: Association Between Variants of PRDM1 and NDP52 and Crohn’s Disease, Based on Exome Sequencing and Functional Studies. Gastroenterology 2013, 145.
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@article{Albrecht2013b, TITLE = {Association Between Variants of {PRDM1} and {NDP52} and {Crohn's} Disease, Based on Exome Sequencing and Functional Studies}, AUTHOR = {Ellinghaus, David and Zhang, Hu and Zeissig, Sebastian and Lipinski, Simone and Till, Andreas and Jiang, Tao and Stade, Bj{\"o}rn and Bromberg, Yana and Ellinghaus, Eva and Keller, Andreas and Rivas, Manuel A. and Skieceviciene, Jurgita and Doncheva, Nadezhda Tsankova and Liu, Xiao and Liu, Qing and Jiang, Fuman and Forster, Michael and Mayr, Gabriele and Albrecht, Mario and H{\"a}sler, Robert and Boehm, Bernhard O. and Goodall, Jane and Berzuini, Carlo R. and Lee, James and Andersen, Vibeke and Vogel, Ulla and Kupcinskas, Limas and Kayser, Manfred and Krawczak, Michael and Nikolaus, Susanna and Weersma, Rinse K. and Ponsioen, Cyriel Y. and Sans, Miquel and Wijmenga, Cisca and Strachan, David P. and McArdle, Wendy L. and Vermeire, S{\'e}verine and Rutgeerts, Paul and Sanderson, Jeremy D. and Mathew, Christopher G. and Vatn, Morten H. and Wang, Jun and N{\"o}then, Markus M. and Duerr, Richard H. and B{\"u}ning, Carsten and Brand, Stephan and Glas, J{\"u}rgen and Winkelmann, Juliane and Illig, Thomas and Latiano, Anna and Annese, Vito and Halfvarson, Jonas and D'Amato, Mauro and Daly, Mark J. and Nothnagel, Michael and Karlsen, Tom H. and Subramani, Suresh and Rosenstiel, Philip and Schreiber, Stefan and Parkes, Miles and Franke, Andre}, LANGUAGE = {eng}, ISSN = {0016-5085}, DOI = {10.1053/j.gastro.2013.04.040}, LOCALID = {Local-ID: D94481A97C347AB5C1257C70004CF69C-Albrecht2013b}, PUBLISHER = {W.B. Saunders}, ADDRESS = {Philadelphia, PA}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Gastroenterology}, VOLUME = {145}, NUMBER = {2}, PAGES = {339--347}, }
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%0 Journal Article %A Ellinghaus, David %A Zhang, Hu %A Zeissig, Sebastian %A Lipinski, Simone %A Till, Andreas %A Jiang, Tao %A Stade, Bj&#246;rn %A Bromberg, Yana %A Ellinghaus, Eva %A Keller, Andreas %A Rivas, Manuel A. %A Skieceviciene, Jurgita %A Doncheva, Nadezhda Tsankova %A Liu, Xiao %A Liu, Qing %A Jiang, Fuman %A Forster, Michael %A Mayr, Gabriele %A Albrecht, Mario %A H&#228;sler, Robert %A Boehm, Bernhard O. %A Goodall, Jane %A Berzuini, Carlo R. %A Lee, James %A Andersen, Vibeke %A Vogel, Ulla %A Kupcinskas, Limas %A Kayser, Manfred %A Krawczak, Michael %A Nikolaus, Susanna %A Weersma, Rinse K. %A Ponsioen, Cyriel Y. %A Sans, Miquel %A Wijmenga, Cisca %A Strachan, David P. %A McArdle, Wendy L. %A Vermeire, S&#233;verine %A Rutgeerts, Paul %A Sanderson, Jeremy D. %A Mathew, Christopher G. %A Vatn, Morten H. %A Wang, Jun %A N&#246;then, Markus M. %A Duerr, Richard H. %A B&#252;ning, Carsten %A Brand, Stephan %A Glas, J&#252;rgen %A Winkelmann, Juliane %A Illig, Thomas %A Latiano, Anna %A Annese, Vito %A Halfvarson, Jonas %A D'Amato, Mauro %A Daly, Mark J. %A Nothnagel, Michael %A Karlsen, Tom H. %A Subramani, Suresh %A Rosenstiel, Philip %A Schreiber, Stefan %A Parkes, Miles %A Franke, Andre %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Association Between Variants of PRDM1 and NDP52 and Crohn's Disease, Based on Exome Sequencing and Functional Studies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-79A5-A %R 10.1053/j.gastro.2013.04.040 %2 PMC3753067 %F OTHER: Local-ID: D94481A97C347AB5C1257C70004CF69C-Albrecht2013b %7 2013-04-25 %D 2013 %J Gastroenterology %O Gastroenterology %V 145 %N 2 %& 339 %P 339 - 347 %I W.B. Saunders %C Philadelphia, PA %@ false
372. Hauschild A-C, Kopczynski D, D’Addario M, Baumbach JI, Rahmann S, Baumbach J: Peak Detection Method Evaluation for Ion Mobility Spectrometry by using Machine Learning Approaches. Metabolites 2013, 3.
Abstract
Ion mobility spectrometry with pre-separation by multi-capillary columns (MCC/IMS) has become an established inexpensive, non-invasive bioanalytics technology for detecting volatile organic compounds (VOCs) with various metabolomics applications in medical research. To pave the way for this technology towards daily usage in medical practice, different steps still have to be taken. With respect to modern biomarker research, one of the most important tasks is the automatic classification of patient-specific data sets into different groups, healthy or not, for instance. Although sophisticated machine learning methods exist, an inevitable preprocessing step is reliable and robust peak detection without manual intervention. In this work we evaluate four state-of-the-art approaches for automated IMS-based peak detection: local maxima search, watershed transformation with IPHEx, region-merging with VisualNow, and peak model estimation (PME).We manually generated Metabolites 2013, 3 278 a gold standard with the aid of a domain expert (manual) and compare the performance of the four peak calling methods with respect to two distinct criteria. We first utilize established machine learning methods and systematically study their classification performance based on the four peak detectors� results. Second, we investigate the classification variance and robustness regarding perturbation and overfitting. Our main finding is that the power of the classification accuracy is almost equally good for all methods, the manually created gold standard as well as the four automatic peak finding methods. In addition, we note that all tools, manual and automatic, are similarly robust against perturbations. However, the classification performance is more robust against overfitting when using the PME as peak calling preprocessor. In summary, we conclude that all methods, though small differences exist, are largely reliable and enable a wide spectrum of real-world biomedical applications.
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@article{Hauschild2012c, TITLE = {Peak Detection Method Evaluation for Ion Mobility Spectrometry by using Machine Learning Approaches}, AUTHOR = {Hauschild, Anne-Christin and Kopczynski, Dominik and D'Addario, Marianna and Baumbach, J{\"o}rg Ingo and Rahmann, Sven and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {2218-1989}, DOI = {10.3390/metabo3020277}, LOCALID = {Local-ID: 13BE6437764CE4D3C1257C660052EF3B-Hauschild2012c}, PUBLISHER = {MDPI}, ADDRESS = {Basel}, YEAR = {2013}, ABSTRACT = {Ion mobility spectrometry with pre-separation by multi-capillary columns (MCC/IMS) has become an established inexpensive, non-invasive bioanalytics technology for detecting volatile organic compounds (VOCs) with various metabolomics applications in medical research. To pave the way for this technology towards daily usage in medical practice, different steps still have to be taken. With respect to modern biomarker research, one of the most important tasks is the automatic classification of patient-specific data sets into different groups, healthy or not, for instance. Although sophisticated machine learning methods exist, an inevitable preprocessing step is reliable and robust peak detection without manual intervention. In this work we evaluate four state-of-the-art approaches for automated IMS-based peak detection: local maxima search, watershed transformation with IPHEx, region-merging with VisualNow, and peak model estimation (PME).We manually generated Metabolites 2013, 3 278 a gold standard with the aid of a domain expert (manual) and compare the performance of the four peak calling methods with respect to two distinct criteria. We first utilize established machine learning methods and systematically study their classification performance based on the four peak detectors{\diamond} results. Second, we investigate the classification variance and robustness regarding perturbation and overfitting. Our main finding is that the power of the classification accuracy is almost equally good for all methods, the manually created gold standard as well as the four automatic peak finding methods. In addition, we note that all tools, manual and automatic, are similarly robust against perturbations. However, the classification performance is more robust against overfitting when using the PME as peak calling preprocessor. In summary, we conclude that all methods, though small differences exist, are largely reliable and enable a wide spectrum of real-world biomedical applications.}, JOURNAL = {Metabolites}, VOLUME = {3}, NUMBER = {2}, PAGES = {277--293}, }
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%0 Journal Article %A Hauschild, Anne-Christin %A Kopczynski, Dominik %A D'Addario, Marianna %A Baumbach, J&#246;rg Ingo %A Rahmann, Sven %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Peak Detection Method Evaluation for Ion Mobility Spectrometry by using Machine Learning Approaches : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-84FC-4 %R 10.3390/metabo3020277 %F OTHER: Local-ID: 13BE6437764CE4D3C1257C660052EF3B-Hauschild2012c %7 2013-04-16 %D 2013 %8 16.04.2013 %X Ion mobility spectrometry with pre-separation by multi-capillary columns (MCC/IMS) has become an established inexpensive, non-invasive bioanalytics technology for detecting volatile organic compounds (VOCs) with various metabolomics applications in medical research. To pave the way for this technology towards daily usage in medical practice, different steps still have to be taken. With respect to modern biomarker research, one of the most important tasks is the automatic classification of patient-specific data sets into different groups, healthy or not, for instance. Although sophisticated machine learning methods exist, an inevitable preprocessing step is reliable and robust peak detection without manual intervention. In this work we evaluate four state-of-the-art approaches for automated IMS-based peak detection: local maxima search, watershed transformation with IPHEx, region-merging with VisualNow, and peak model estimation (PME).We manually generated Metabolites 2013, 3 278 a gold standard with the aid of a domain expert (manual) and compare the performance of the four peak calling methods with respect to two distinct criteria. We first utilize established machine learning methods and systematically study their classification performance based on the four peak detectors&#65533; results. Second, we investigate the classification variance and robustness regarding perturbation and overfitting. Our main finding is that the power of the classification accuracy is almost equally good for all methods, the manually created gold standard as well as the four automatic peak finding methods. In addition, we note that all tools, manual and automatic, are similarly robust against perturbations. However, the classification performance is more robust against overfitting when using the PME as peak calling preprocessor. In summary, we conclude that all methods, though small differences exist, are largely reliable and enable a wide spectrum of real-world biomedical applications. %J Metabolites %V 3 %N 2 %& 277 %P 277 - 293 %I MDPI %C Basel %@ false %U http://dx.doi.org/10.3390/metabo3020277
373. Hauschild A-C, Baumbach JI, Baumbach J: Paving the Way for Automated Clinical Breath Analysis and Biomarker Detection. In GCB 2013 Göttingen - Highlight Papers. GCB; 2013.
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@inproceedings{Hauschild2013b, TITLE = {Paving the Way for Automated Clinical Breath Analysis and Biomarker Detection}, AUTHOR = {Hauschild, Anne-Christin and Baumbach, Joerg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, PUBLISHER = {GCB}, YEAR = {2013}, BOOKTITLE = {GCB 2013 G{\"o}ttingen -- Highlight Papers}, PAGES = {24--28}, ADDRESS = {G{\"o}ttingen, Germany}, }
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%0 Conference Proceedings %A Hauschild, Anne-Christin %A Baumbach, Joerg Ingo %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Paving the Way for Automated Clinical Breath Analysis and Biomarker Detection : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-84EA-C %D 2013 %B GCB 2013 %Z date of event: 2013-09-10 - 2013-09-13 %C G&#246;ttingen, Germany %B GCB 2013 G&#246;ttingen - Highlight Papers %P 24 - 28 %I GCB %U http://www.gcb2013.de/system/resources/BAhbBlsHOgZmSSIxMjAxMy8wOS8xMC8yM180NF81OF8xNDVfZ2NiMTNfaGlnaGxpZ2h0cy5wZGYGOgZFVA/gcb13_highlights.pdf
374. Jungwirth B, Sala C, Kohl TA, Uplekar S, Baumbach J, Cole S, Pühler A, Tauch A: High-r esolution Detection of DNA Binding Sites of the Global Transcriptional Regulator GlxR in Corynebacterium Glutamicum. Microbiology 2013, 159.
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@article{Baumbach2013b, TITLE = {High-resolution detection of {DNA} binding sites of the global transcriptional regulator {GlxR} in {Corynebacterium} glutamicum}, AUTHOR = {Jungwirth, Britta and Sala, Claudia and Kohl, Thomas A. and Uplekar, Swapna and Baumbach, Jan and Cole, Steward and P{\"u}hler, Alfred and Tauch, Andreas}, LANGUAGE = {eng}, ISSN = {1350-0872}, DOI = {10.1099/mic.0.062059-0}, PUBLISHER = {Society for General Microbiology}, ADDRESS = {Reading}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Microbiology}, VOLUME = {159}, NUMBER = {1}, PAGES = {12--22}, }
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%0 Journal Article %A Jungwirth, Britta %A Sala, Claudia %A Kohl, Thomas A. %A Uplekar, Swapna %A Baumbach, Jan %A Cole, Steward %A P&#252;hler, Alfred %A Tauch, Andreas %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T High-r esolution Detection of DNA Binding Sites of the Global Transcriptional Regulator GlxR in Corynebacterium Glutamicum : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A757-1 %R 10.1099/mic.0.062059-0 %7 2012-10-25 %D 2013 %J Microbiology %V 159 %N 1 %& 12 %P 12 - 22 %I Society for General Microbiology %C Reading %@ false
375. Kacprowski T, Doncheva NT, Albrecht M: NetworkPrioritizer: a Versatile Tool for Network-based Prioritization of Candidate Disease Genes or Other Molecules. Bioinformatics 2013, 29.
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@article{Albrecht2013d, TITLE = {{NetworkPrioritizer}: {A} Versatile Tool for Network-based Prioritization of Candidate Disease Genes or Other Molecules}, AUTHOR = {Kacprowski, Tim and Doncheva, Nadezhda Tsankova and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btt164}, LOCALID = {Local-ID: 01CE323C97D6DDB6C1257C60005071DC-Albrecht2013d}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Bioinformatics}, VOLUME = {29}, NUMBER = {11}, PAGES = {1471--1473}, }
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%0 Journal Article %A Kacprowski, Tim %A Doncheva, Nadezhda Tsankova %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T NetworkPrioritizer: a Versatile Tool for Network-based Prioritization of Candidate Disease Genes or Other Molecules : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-8146-3 %R 10.1093/bioinformatics/btt164 %2 PMC3661055 %F OTHER: Local-ID: 01CE323C97D6DDB6C1257C60005071DC-Albrecht2013d %7 2013-04-16 %D 2013 %J Bioinformatics %V 29 %N 11 %& 1471 %P 1471 - 1473 %I Oxford University Press %C Oxford, UK %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3661055/
376. Kalaghatgi P, Lawyer G: Inter-country Mixing in HIV Transmission Clusters: a Pan-European Phylodynamics Study. In Reviews in Antiviral Therapy & Infectious Diseases. Volume 13-2. Virology Education; 2013.
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@inproceedings{Kalaghatgi2013, TITLE = {Inter-country Mixing in {HIV} Transmission Clusters: {A} {pan-European} Phylodynamics Study}, AUTHOR = {Kalaghatgi, Prabhav and Lawyer, Glenn}, LANGUAGE = {eng}, LOCALID = {Local-ID: 893733FC0B2A8D2DC1257C82004F1600-Kalaghatgi2013}, PUBLISHER = {Virology Education}, YEAR = {2013}, DATE = {2013}, BOOKTITLE = {Abstract Book 11th European Workshop on HIV \& Hepatitis Treatment Strategies \& Antiviral Drug Resistance}, PAGES = {9--9}, EID = {O-07}, JOURNAL = {Reviews in Antiviral Therapy \& Infectious Diseases}, VOLUME = {13-2}, ADDRESS = {Rome, Italy}, }
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%0 Conference Proceedings %A Kalaghatgi, Prabhav %A Lawyer, Glenn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inter-country Mixing in HIV Transmission Clusters: a Pan-European Phylodynamics Study : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-8127-7 %F OTHER: Local-ID: 893733FC0B2A8D2DC1257C82004F1600-Kalaghatgi2013 %D 2013 %B 11th European Workshop on HIV & Hepatitis %Z date of event: 2013-03-20 - 2013-03-22 %C Rome, Italy %B Abstract Book 11th European Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance %P 9 - 9 %Z sequence number: O-07 %I Virology Education %J Reviews in Antiviral Therapy & Infectious Diseases %V 13-2 %U http://regist2.virology-education.com/2013/11EU/docs/09_Kalaghatgi.pdfhttp://regist2.virology-education.com/abstractbook/2013_2.pdf
377. Kalinina OV, Pfeifer N, Lengauer T: Modelling Binding Between CCR5 and CXCR4 Receptors and Their Ligands Suggests the Surface Electrostatic Potential of the Co-receptor to Be a Key Player in the HIV-1 Tropism. Retrovirology 2013, 10.
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@article{Kalinina2013, TITLE = {Modelling Binding Between {CCR5} and {CXCR4} Receptors and Their Ligands Suggests the Surface Electrostatic Potential of the Co-receptor to Be a Key Player in the {HIV}-1 Tropism}, AUTHOR = {Kalinina, Olga V. and Pfeifer, Nico and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1742-4690}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3833284&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/1742-4690-10-130}, LOCALID = {Local-ID: 9D600A85819064AEC1257C6A00543F15-Kalinina2013}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2013}, JOURNAL = {Retrovirology}, VOLUME = {10}, PAGES = {130:1--130:11}, EID = {130}, }
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%0 Journal Article %A Kalinina, Olga V. %A Pfeifer, Nico %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Modelling Binding Between CCR5 and CXCR4 Receptors and Their Ligands Suggests the Surface Electrostatic Potential of the Co-receptor to Be a Key Player in the HIV-1 Tropism : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7963-B %2 3833284 %F OTHER: Local-ID: 9D600A85819064AEC1257C6A00543F15-Kalinina2013 %R 10.1186/1742-4690-10-130 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3833284&tool=pmcentrez&rendertype=abstract %7 2013-11-11 %D 2013 %8 11.11.2013 %K Tropism test %J Retrovirology %V 10 %& 130:1 %P 130:1 - 130:11 %Z sequence number: 130 %I BioMed Central %C London %@ false
378. Lengauer T, Nussinov R: New Methods Section in PLOS Computational Biology. PLOS Computational Biology 2013, 9.
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@article{LengauerNussinov2013, TITLE = {New Methods Section in {PLOS} Computational Biology}, AUTHOR = {Lengauer, Thomas and Nussinov, Ruth}, LANGUAGE = {eng}, ISSN = {1553-734X}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3591281&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pcbi.1002972}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, DATE = {2013}, JOURNAL = {PLOS Computational Biology}, VOLUME = {9}, NUMBER = {3}, PAGES = {1}, EID = {e1002972}, }
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%0 Journal Article %A Lengauer, Thomas %A Nussinov, Ruth %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T New Methods Section in PLOS Computational Biology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-AA4F-0 %2 3591281 %F OTHER: publisher-idPCOMPBIOL-D-13-00169 %R 10.1371/journal.pcbi.1002972 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3591281&tool=pmcentrez&rendertype=abstract %7 2013-03-07 %D 2013 %J PLOS Computational Biology %O PLOS Comput Biol %V 9 %N 3 %& 1 %P 1 %Z sequence number: e1002972 %I Public Library of Science %C San Francisco, CA %@ false %U https://doi.org/10.1371/journal.pcbi.1002972
379. Lengauer T: Stellenwert der Bioinformatik für die personalisierte Medizin. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2013, 56.
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@article{Langauer2013a, TITLE = {{Stellenwert der {Bioinformatik} f\"ur die personalisierte {Medizin}}}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {deu}, ISSN = {1436-9990}, DOI = {10.1007/s00103-013-1819-x}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Bundesgesundheitsblatt -- Gesundheitsforschung -- Gesundheitsschutz}, VOLUME = {56}, NUMBER = {11}, PAGES = {1489--1494}, }
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%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Stellenwert der Bioinformatik f&#252;r die personalisierte Medizin : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0018-AAC2-6 %R 10.1007/s00103-013-1819-x %7 2013 %D 2013 %J Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz %V 56 %N 11 %& 1489 %P 1489 - 1494 %I Springer %C Berlin %@ false
380. Liu JZ, Hov JR, Folseraas T, Ellinghaus E, Rushbrook SM, Doncheva NT, Andreassen OA, Weersma RK, Weismuller TJ, Eksteen B, Invernizzi P, Hirschfield GM, Gotthardt DN, Pares A, Ellinghaus D, Shah T, Juran BD, Milkiewicz P, Rust C, Schramm C, Müller T, Srivastava B, Dalekos G, Nöthen MM, Herms S, Winkelmann J, Mitrovic M, Braun F, Ponsioen CY, Croucher PJP, et al.: Dense Genotyping of Immune-related Disease Regions Identifies Nine New Risk Loci for Primary Sclerosing Cholangitis. Nature Genetics 2013, 45.
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@article{Albrecht2013a, TITLE = {Dense Genotyping of Immune-related Disease Regions Identifies Nine New Risk Loci for Primary Sclerosing Cholangitis}, AUTHOR = {Liu, Jimmy Z. and Hov, Johannes Roksund and Folseraas, Trine and Ellinghaus, Eva and Rushbrook, Simon M. and Doncheva, Nadezhda Tsankova and Andreassen, Ole A. and Weersma, Rinse K. and Weismuller, Tobias J. and Eksteen, Bertus and Invernizzi, Pietro and Hirschfield, Gideon M. and Gotthardt, Daniel Nils and Pares, Albert and Ellinghaus, David and Shah, Tejas and Juran, Brian D. and Milkiewicz, Piotr and Rust, Christian and Schramm, Christoph and M{\"u}ller, Tobias and Srivastava, Brijesh and Dalekos, Georgios and N{\"o}then, Markus M. and Herms, Stefan and Winkelmann, Juliane and Mitrovic, Mitja and Braun, Felix and Ponsioen, Cyriel Y. and Croucher, Peter J. P. and Sterneck, Martina and Teufel, Andreas and Mason, Andrew L. and Saarela, Janna and Leppa, Virpi and Dorfman, Ruslan and Alvaro, Domenico and Floreani, Annarosa and Onengut-Gumuscu, Suna and Rich, Stephen S. and Thompson, Wesley K. and Schork, Andrew J. and Naess, Sigrid and Thomsen, Ingo and Mayr, Gabriele and K{\"o}nig, Inke R. and Hveem, Kristian and Cleynen, Isabelle and Gutierrez-Achury, Javier and Rica{\~n}o-Ponce, Isis and van Heel, David and Bj{\"o}rnsson, Einar and Sandford, Richard N. and Durie, Peter R. and Melum, Espen and Vatn, Morten H. and Silverberg, Mark S. and Duerr, Richard H. and Padyukov, Leonid and Brand, Stephan and Sans, Miquel and Annese, Vito and Achkar, Jean-Paul and Boberg, Kirsten Muri and Marschall, Hanns-Ulrich and Chazouill{\`e}res, Olivier and Bowlus, Christopher L. and Wijmenga, Cisca and Schrumpf, Erik and Vermeire, Severine and Albrecht, Mario and Rioux, John D. and Alexander, Graeme and Bergquist, Annika and Cho, Judy and Schreiber, Stefan and Manns, Michael P. and F{\"a}rkkil{\"a}, Martti and Dale, Anders M. and Chapman, Roger W. and Lazaridis, Konstantinos N. and Franke, Andre and Anderson, Carl A. and Karlsen, Tom H.}, LANGUAGE = {eng}, ISSN = {1061-4036}, DOI = {10.1038/ng.2616}, LOCALID = {Local-ID: 10209969026DD7EDC1257C70004C724B-Albrecht2013a}, PUBLISHER = {Nature Publ. Group}, ADDRESS = {New York, NY}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Nature Genetics}, VOLUME = {45}, NUMBER = {6}, PAGES = {670--677}, }
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%0 Journal Article %A Liu, Jimmy Z. %A Hov, Johannes Roksund %A Folseraas, Trine %A Ellinghaus, Eva %A Rushbrook, Simon M. %A Doncheva, Nadezhda Tsankova %A Andreassen, Ole A. %A Weersma, Rinse K. %A Weismuller, Tobias J. %A Eksteen, Bertus %A Invernizzi, Pietro %A Hirschfield, Gideon M. %A Gotthardt, Daniel Nils %A Pares, Albert %A Ellinghaus, David %A Shah, Tejas %A Juran, Brian D. %A Milkiewicz, Piotr %A Rust, Christian %A Schramm, Christoph %A M&#252;ller, Tobias %A Srivastava, Brijesh %A Dalekos, Georgios %A N&#246;then, Markus M. %A Herms, Stefan %A Winkelmann, Juliane %A Mitrovic, Mitja %A Braun, Felix %A Ponsioen, Cyriel Y. %A Croucher, Peter J. P. %A Sterneck, Martina %A Teufel, Andreas %A Mason, Andrew L. %A Saarela, Janna %A Leppa, Virpi %A Dorfman, Ruslan %A Alvaro, Domenico %A Floreani, Annarosa %A Onengut-Gumuscu, Suna %A Rich, Stephen S. %A Thompson, Wesley K. %A Schork, Andrew J. %A Naess, Sigrid %A Thomsen, Ingo %A Mayr, Gabriele %A K&#246;nig, Inke R. %A Hveem, Kristian %A Cleynen, Isabelle %A Gutierrez-Achury, Javier %A Rica&#241;o-Ponce, Isis %A van Heel, David %A Bj&#246;rnsson, Einar %A Sandford, Richard N. %A Durie, Peter R. %A Melum, Espen %A Vatn, Morten H. %A Silverberg, Mark S. %A Duerr, Richard H. %A Padyukov, Leonid %A Brand, Stephan %A Sans, Miquel %A Annese, Vito %A Achkar, Jean-Paul %A Boberg, Kirsten Muri %A Marschall, Hanns-Ulrich %A Chazouill&#232;res, Olivier %A Bowlus, Christopher L. %A Wijmenga, Cisca %A Schrumpf, Erik %A Vermeire, Severine %A Albrecht, Mario %A Rioux, John D. %A Alexander, Graeme %A Bergquist, Annika %A Cho, Judy %A Schreiber, Stefan %A Manns, Michael P. %A F&#228;rkkil&#228;, Martti %A Dale, Anders M. %A Chapman, Roger W. %A Lazaridis, Konstantinos N. %A Franke, Andre %A Anderson, Carl A. %A Karlsen, Tom H. %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Dense Genotyping of Immune-related Disease Regions Identifies Nine New Risk Loci for Primary Sclerosing Cholangitis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7A0A-D %R 10.1038/ng.2616 %2 PMC3667736 %F OTHER: Local-ID: 10209969026DD7EDC1257C70004C724B-Albrecht2013a %7 2013-04-21 %D 2013 %J Nature Genetics %O Nature Genet. %V 45 %N 6 %& 670 %P 670 - 677 %I Nature Publ. Group %C New York, NY %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3667736/
381. Michels KB, Binder AM, Dedeurwaerder S, Epstein CB, Greally JM, Gut I, Houseman EA, Bock C, Irizarry RA: Recommendations for the Design and Analysis of Epigenome-wide Association Studies. Nature Methods 2013, 10.
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@article{Bock2013b, TITLE = {Recommendations for the Design and Analysis of Epigenome-wide Association Studies}, AUTHOR = {Michels, Karin B. and Binder, Alexandra M. and Dedeurwaerder, Sarah and Epstein, Charles B. and Greally, John M. and Gut, Ivo and Houseman, E. Andres and Bock, Christoph and Irizarry, Rafael A.}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {doi:10.1038/nmeth.2632}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2013}, JOURNAL = {Nature Methods}, VOLUME = {10}, PAGES = {949--955}, }
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%0 Journal Article %A Michels, Karin B. %A Binder, Alexandra M. %A Dedeurwaerder, Sarah %A Epstein, Charles B. %A Greally, John M. %A Gut, Ivo %A Houseman, E. Andres %A Bock, Christoph %A Irizarry, Rafael A. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Recommendations for the Design and Analysis of Epigenome-wide Association Studies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-AAA1-0 %R doi:10.1038/nmeth.2632 %7 2013-09-27 %D 2013 %8 27.09.2013 %J Nature Methods %V 10 %& 949 %P 949 - 955 %I Nature Pub. Group %C New York, NY %@ false
382. Oette M, Reuter S, Kaier R, Jensen B, Lengauer T, Fatkenheuer G, Knechten H, Hower M, Sagir A, Pfister H, Haussinger D: Ambulatory Care for HIV-infected Patients: Differences in Outcomes between Hospital-based Units and Private Practices: Analysis of the RESINA Cohort. European Journal of Medical Research 2013, 18.
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@article{Lengauer2013, TITLE = {Ambulatory care for {HIV}-infected patients: differences in outcomes between hospital-based units and private practices: analysis of the {RESINA} cohort}, AUTHOR = {Oette, Mark and Reuter, Stefan and Kaier, Rolf and Jensen, Bjoern and Lengauer, Thomas and Fatkenheuer, Gerd and Knechten, Heribert and Hower, Martin and Sagir, Abdurrahman and Pfister, Herbert and Haussinger, Dieter}, LANGUAGE = {eng}, DOI = {10.1186/2047-783X-18-48}, YEAR = {2013}, JOURNAL = {European Journal of Medical Research}, VOLUME = {18}, EID = {48}, }
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%0 Journal Article %A Oette, Mark %A Reuter, Stefan %A Kaier, Rolf %A Jensen, Bjoern %A Lengauer, Thomas %A Fatkenheuer, Gerd %A Knechten, Heribert %A Hower, Martin %A Sagir, Abdurrahman %A Pfister, Herbert %A Haussinger, Dieter %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Ambulatory Care for HIV-infected Patients: Differences in Outcomes between Hospital-based Units and Private Practices: Analysis of the RESINA Cohort : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-AAD3-F %R 10.1186/2047-783X-18-48 %7 2013-11-21 %D 2013 %8 21.11.2013 %J European Journal of Medical Research %V 18 %Z sequence number: 48
383. Pfeifer N, Lengauer T: Association Between HIV-1 Coreceptor Usage and Resistance to Some Broadly Neutralizing Antibodies. AIDS Research and Human Retroviruses (Proc AIDS Vaccine Conference 2013) 2013, 29.
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@article{PfeiferLengauer2013, TITLE = {Association Between {HIV-1} Coreceptor Usage and Resistance to Some Broadly Neutralizing Antibodies}, AUTHOR = {Pfeifer, Nico and Lengauer, Thomas}, ISSN = {0889-2229}, DOI = {:10.1089/aid.2013.1500}, LOCALID = {Local-ID: EEE62E1144F8CC8BC1257C6A0055F9A3-PfeiferLengauer2013}, PUBLISHER = {Mary Ann Liebert, Inc.}, ADDRESS = {Larchmont, NY}, YEAR = {2013}, DATE = {2013}, JOURNAL = {AIDS Research and Human Retroviruses (Proc. AIDS Vaccine Conference)}, VOLUME = {29}, NUMBER = {11}, PAGES = {A60--A60}, EID = {P03.55}, BOOKTITLE = {AIDS Vaccine Conference 2013}, }
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%0 Journal Article %A Pfeifer, Nico %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Association Between HIV-1 Coreceptor Usage and Resistance to Some Broadly Neutralizing Antibodies : %U http://hdl.handle.net/11858/00-001M-0000-0015-842D-5 %R :10.1089/aid.2013.1500 %F OTHER: Local-ID: EEE62E1144F8CC8BC1257C6A0055F9A3-PfeiferLengauer2013 %7 2013-10-10 %D 2013 %J AIDS Research and Human Retroviruses %O Aids Res. Hum. Retrovir. %V 29 %N 11 %& A60 %P A60 - A60 %Z sequence number: P03.55 %I Mary Ann Liebert, Inc. %C Larchmont, NY %@ false %B AIDS Vaccine Conference 2013 %O AIDS Vaccine Conference 2013 Barcelona, Spain, 7 - 10 October 2013
384. Pironti A, Sierra S, Kaiser R, Lengauer T, Pfeifer N: In Silico Analysis of the Effects of Sequencing Errors on Geno2pheno[Coreceptor]. In Antiviral Therapy. Volume 18. International Medical Press; 2013(Supplement 1).
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@inproceedings{Pironti2013, TITLE = {In Silico Analysis of the Effects of Sequencing Errors on Geno2pheno[Coreceptor]}, AUTHOR = {Pironti, Alejandro and Sierra, Saleta and Kaiser, Rolf and Lengauer, Thomas and Pfeifer, Nico}, LANGUAGE = {eng}, ISSN = {1359-6535}, LOCALID = {Local-ID: C79B1849D90C0A33C1257C6A004EA3D3-Pironti2013}, PUBLISHER = {International Medical Press}, YEAR = {2013}, BOOKTITLE = {Abstracts presented at the International Workshop on HIV \& Hepatitis Virus Drug Resistance and Curative Strategies}, ISSUE = {Supplement 1}, PAGES = {111--111}, EID = {A142}, JOURNAL = {Antiviral Therapy}, VOLUME = {18}, ISSUE = {Suppl. 1}, ADDRESS = {Toronto, Canada}, }
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%0 Conference Proceedings %A Pironti, Alejandro %A Sierra, Saleta %A Kaiser, Rolf %A Lengauer, Thomas %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T In Silico Analysis of the Effects of Sequencing Errors on Geno2pheno[Coreceptor] : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7B4C-4 %F OTHER: Local-ID: C79B1849D90C0A33C1257C6A004EA3D3-Pironti2013 %D 2013 %B International Workshop on HIV & Hepatitis Virus Drug Resistance and Curative Strategies %Z date of event: 2013-06-04 - 2013-06-08 %C Toronto, Canada %B Abstracts presented at the International Workshop on HIV & Hepatitis Virus Drug Resistance and Curative Strategies %N Supplement 1 %P 111 - 111 %Z sequence number: A142 %I International Medical Press %J Antiviral Therapy %V 18 %N Suppl. 1 %@ false
385. Pironti A, Sierra S, Kaiser R, Lengauer T, Pfeifer N: Effects of Sequencing Errors on Geno2pheno[Coreceptor] Predictions. In Reviews in Antiviral Therapy & Infectious Diseases. Volume 13-2. Virology Education; 2013.
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@inproceedings{Pironti2013z, TITLE = {Effects of Sequencing Errors on Geno2pheno[Coreceptor] Predictions}, AUTHOR = {Pironti, Alejandro and Sierra, Saleta and Kaiser, Rolf and Lengauer, Thomas and Pfeifer, Nico}, LANGUAGE = {eng}, LOCALID = {Local-ID: E65A7D34540A5DBAC1257C6A004EF397-Pironti2013z}, PUBLISHER = {Virology Education}, YEAR = {2013}, BOOKTITLE = {Abstract Book 11th European Meeting on HIV \& Hepatitis Treatment Strategies \& Antiviral Drug Resistance}, PAGES = {23--24}, EID = {Abstract O{\textunderscore}21}, JOURNAL = {Reviews in Antiviral Therapy \& Infectious Diseases}, VOLUME = {13-2}, ADDRESS = {Rome, Italy}, }
Endnote
%0 Conference Proceedings %A Pironti, Alejandro %A Sierra, Saleta %A Kaiser, Rolf %A Lengauer, Thomas %A Pfeifer, Nico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Effects of Sequencing Errors on Geno2pheno[Coreceptor] Predictions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7A85-A %F OTHER: Local-ID: E65A7D34540A5DBAC1257C6A004EF397-Pironti2013z %D 2013 %B 11th European Workshop on HIV & Hepatitis %Z date of event: 2013-03-20 - 2013-03-22 %C Rome, Italy %B Abstract Book 11th European Meeting on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance %P 23 - 24 %Z sequence number: Abstract O_21 %I Virology Education %J Reviews in Antiviral Therapy & Infectious Diseases %V 13-2
386. Portsmouth S, Valluri SR, Daeumer M, Thiele B, Valdez H, Lewis M, Craig C, Thielen A, James I, Demarest J, Heera J: Correlation between Genotypic (V3 population sequencing) and Phenotypic (Trofile ES) Methods of Characterizing Co-Receptor Usage of HIV-1 from 200 Treatment-naïve HIV Patients Screened for Study A4001078. Antiviral Research 2013, 97.
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@article{Thielen2013z, TITLE = {Correlation between Genotypic ({V3} population sequencing) and Phenotypic (Trofile {ES}) Methods of Characterizing Co-Receptor Usage of {HIV-1} from 200 Treatment-na\"ive {HIV} Patients Screened for Study {A4001078}}, AUTHOR = {Portsmouth, Simon and Valluri, Srinivas Rao and Daeumer, Martin and Thiele, Bernhard and Valdez, Herman and Lewis, Marilyn and Craig, Charles and Thielen, Alexander and James, Ian and Demarest, James and Heera, Jayvant}, LANGUAGE = {eng}, ISSN = {0166-3542}, DOI = {10.1016/j.antiviral.2012.11.002}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Antiviral Research}, VOLUME = {97}, NUMBER = {1}, PAGES = {60--65}, }
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%0 Journal Article %A Portsmouth, Simon %A Valluri, Srinivas Rao %A Daeumer, Martin %A Thiele, Bernhard %A Valdez, Herman %A Lewis, Marilyn %A Craig, Charles %A Thielen, Alexander %A James, Ian %A Demarest, James %A Heera, Jayvant %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Correlation between Genotypic (V3 population sequencing) and Phenotypic (Trofile ES) Methods of Characterizing Co-Receptor Usage of HIV-1 from 200 Treatment-na&#239;ve HIV Patients Screened for Study A4001078 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A78C-B %R 10.1016/j.antiviral.2012.11.002 %7 2012 %D 2013 %J Antiviral Research %O Antiviral Res. %V 97 %N 1 %& 60 %P 60 - 65 %I Elsevier %C Amsterdam %@ false
387. Pou C, Codoner francisco M, Thielen A, Bellido R, Perez-Alvarez S, Cabrera C, Dalmau J, Curriu M, Lie Y, Noguera-Julian M, Puig J, Martinez-Picadao J, Blanco J, Daumer M, Clotet B, Paredes R: HIV-1 Tropism Testing in Subjects Achieving Undetectable HIV-1 RNA: Diagnostic Accuracy, Viral Evolution and Compartmentalization. PLoS One 2013, 8.
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@article{Thielen2013, TITLE = {{HIV-1} Tropism Testing in Subjects Achieving Undetectable {HIV-1 RNA}: Diagnostic Accuracy, Viral Evolution and Compartmentalization}, AUTHOR = {Pou, Christian and Codoner, francisco M. and Thielen, Alexander and Bellido, Rocio and Perez-Alvarez, Susana and Cabrera, Cecilia and Dalmau, Judith and Curriu, Marta and Lie, Yolanda and Noguera-Julian, Marc and Puig, Jordi and Martinez-Picadao, Javier and Blanco, Julia and Daumer, Martin and Clotet, Bonaventura and Paredes, Roger}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0067085}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, JOURNAL = {PLoS One}, VOLUME = {8}, NUMBER = {8}, EID = {e67085}, }
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%0 Journal Article %A Pou, Christian %A Codoner, francisco M. %A Thielen, Alexander %A Bellido, Rocio %A Perez-Alvarez, Susana %A Cabrera, Cecilia %A Dalmau, Judith %A Curriu, Marta %A Lie, Yolanda %A Noguera-Julian, Marc %A Puig, Jordi %A Martinez-Picadao, Javier %A Blanco, Julia %A Daumer, Martin %A Clotet, Bonaventura %A Paredes, Roger %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T HIV-1 Tropism Testing in Subjects Achieving Undetectable HIV-1 RNA: Diagnostic Accuracy, Viral Evolution and Compartmentalization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A9E9-7 %R 10.1371/journal.pone.0067085 %7 2013-08-01 %D 2013 %8 01.08.2013 %J PLoS One %V 8 %N 8 %Z sequence number: e67085 %I Public Library of Science %C San Francisco, CA %@ false %U http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0067085
388. Radivojac P, Clark WT, Oron TR, Schnoes AM, Wittkop T, Sokolov A, Graim K, Funk C, Verspoor K, Ben-Hur A, Pandey G, Yunes JM, Talwalkar AS, Repo S, Souza ML, Piovesan D, Casadio R, Wang Z, Cheng J, Fang H, Gough J, Koskinen P, Törönen P, Nokso-Koivisto J, Holm L, Cozzetto D, Buchan DWA, Bryson K, Jones DT, Limaye B, et al.: A Large-scale Evaluation of Computational Protein Function Prediction. Nature Methods 2013, 10.
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@article{Sommer2013, TITLE = {A Large-scale Evaluation of Computational Protein Function Prediction}, AUTHOR = {Radivojac, Predrag and Clark, Wyatt T. and Oron, Tal Ronnen and Schnoes, Alexandra M. and Wittkop, Tobias and Sokolov, Artem and Graim, Kiley and Funk, Christopher and Verspoor, Karin and Ben-Hur, Asa and Pandey, Gaurav and Yunes, Jeffrey M. and Talwalkar, Ameet S. and Repo, Susanna and Souza, Michael L. and Piovesan, Damiano and Casadio, Rita and Wang, Zheng and Cheng, Jianlin and Fang, Hai and Gough, Julian and Koskinen, Patrik and T{\"o}r{\"o}nen, Petri and Nokso-Koivisto, Jussi and Holm, Liisa and Cozzetto, Domenico and Buchan, Daniel W. A. and Bryson, Kevin and Jones, David T. and Limaye, Bhakti and Inamdar, Harshal and Datta, Avik and Manjari, Sunitha K. and Joshi, Rajendra and Chitale, Meghana and Kihara, Daisuke and Lisewski, Andreas M. and Erdin, Serkan and Venner, Eric and Lichtarge, Olivier and Rentzsch, Robert and Yang, Haixuan and Romero, Alfonso E. and Bhat, Prajwal and Paccanaro, Alberto and Hamp, Tobias and Kassner, Rebecca and Seemayer, Stefan and Vicedo, Esmeralda and Schaefer, Christian and Achten, Dominik and Auer, Florian and B{\"o}hm, Ariane and Braun, Tatjana and Hecht, Maximilian and Heron, Mark and H{\"o}nigschmid, Peter and Hopf, Thomas and Kaufmann, Stefanie and Kiening, Michael and Krompass, Denis and Landerer, Cedric and Mahlich, Yannick and Roos, Manfred and Bj{\"o}rne, Jari and Salakoski, Tapio and Wong, Andrew and Shatkay, Hagit and Gatzmann, Fanny and Sommer, Ingolf and Wass, Mark N. and Sternberg, Michael J. E. and {\v S}kunca, Nives and Supek, Fran and Bo{\v s}njak, Matko and Panov, Pan{\v c}e and D{\v z}eroski, Sa{\v s}o and {\v S}muc, Tomislav and Kourmpetis, Yiannis A. I. and van Dijk, Aalt D. J. and ter Braak, Cajo J. F. and Zhou, Yuanpeng and Gong, Qingtian and Dong, Xinran and Tian, Weidong and Falda, Marco and Fontana, Paolo and Lavezzo, Enrico and Di Camillo, Barbara and Toppo, Stefano and Lan, Liang and Djuric, Nemanja and Guo, Yuhong and Vucetic, Slobodan and Bairoch, Amos and Linial, Michal and Babbitt, Patricia C. and Brenner, Steven E. and Orengo, Christine and Rost, Burkhard and Mooney, Sean D. and Friedberg, Iddo}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {10.1038/nmeth.2340}, LOCALID = {Local-ID: 0B86C9EE091302D1C1257B47005C687E-Sommer2013}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Nature Methods}, VOLUME = {10}, NUMBER = {3}, PAGES = {221--227}, }
Endnote
%0 Journal Article %A Radivojac, Predrag %A Clark, Wyatt T. %A Oron, Tal Ronnen %A Schnoes, Alexandra M. %A Wittkop, Tobias %A Sokolov, Artem %A Graim, Kiley %A Funk, Christopher %A Verspoor, Karin %A Ben-Hur, Asa %A Pandey, Gaurav %A Yunes, Jeffrey M. %A Talwalkar, Ameet S. %A Repo, Susanna %A Souza, Michael L. %A Piovesan, Damiano %A Casadio, Rita %A Wang, Zheng %A Cheng, Jianlin %A Fang, Hai %A Gough, Julian %A Koskinen, Patrik %A T&#246;r&#246;nen, Petri %A Nokso-Koivisto, Jussi %A Holm, Liisa %A Cozzetto, Domenico %A Buchan, Daniel W. A. %A Bryson, Kevin %A Jones, David T. %A Limaye, Bhakti %A Inamdar, Harshal %A Datta, Avik %A Manjari, Sunitha K. %A Joshi, Rajendra %A Chitale, Meghana %A Kihara, Daisuke %A Lisewski, Andreas M. %A Erdin, Serkan %A Venner, Eric %A Lichtarge, Olivier %A Rentzsch, Robert %A Yang, Haixuan %A Romero, Alfonso E. %A Bhat, Prajwal %A Paccanaro, Alberto %A Hamp, Tobias %A Kassner, Rebecca %A Seemayer, Stefan %A Vicedo, Esmeralda %A Schaefer, Christian %A Achten, Dominik %A Auer, Florian %A B&#246;hm, Ariane %A Braun, Tatjana %A Hecht, Maximilian %A Heron, Mark %A H&#246;nigschmid, Peter %A Hopf, Thomas %A Kaufmann, Stefanie %A Kiening, Michael %A Krompass, Denis %A Landerer, Cedric %A Mahlich, Yannick %A Roos, Manfred %A Bj&#246;rne, Jari %A Salakoski, Tapio %A Wong, Andrew %A Shatkay, Hagit %A Gatzmann, Fanny %A Sommer, Ingolf %A Wass, Mark N. %A Sternberg, Michael J. E. %A &#352;kunca, Nives %A Supek, Fran %A Bo&#353;njak, Matko %A Panov, Pan&#269;e %A D&#382;eroski, Sa&#353;o %A &#352;muc, Tomislav %A Kourmpetis, Yiannis A. I. %A van Dijk, Aalt D. J. %A ter Braak, Cajo J. F. %A Zhou, Yuanpeng %A Gong, Qingtian %A Dong, Xinran %A Tian, Weidong %A Falda, Marco %A Fontana, Paolo %A Lavezzo, Enrico %A Di Camillo, Barbara %A Toppo, Stefano %A Lan, Liang %A Djuric, Nemanja %A Guo, Yuhong %A Vucetic, Slobodan %A Bairoch, Amos %A Linial, Michal %A Babbitt, Patricia C. %A Brenner, Steven E. %A Orengo, Christine %A Rost, Burkhard %A Mooney, Sean D. %A Friedberg, Iddo %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T A Large-scale Evaluation of Computational Protein Function Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7BA6-7 %R 10.1038/nmeth.2340 %2 PMC3584181 %F OTHER: Local-ID: 0B86C9EE091302D1C1257B47005C687E-Sommer2013 %7 2013-01-27 %D 2013 %J Nature Methods %V 10 %N 3 %& 221 %P 221 - 227 %I Nature Pub. Group %C New York, NY %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584181/
389. Röttger R, Kalaghatgi P, Sun P, de Castro Soares S, Azevedo V, Wittkop T, Baumbach J: Density Parameter Estimation for Finding Clusters of Homologous Proteins - Tracing Actinobacterial Pathogenicity Life Styles. Bioinformatics 2013, 29.
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@article{roettger2012density, TITLE = {Density Parameter Estimation for Finding Clusters of Homologous Proteins -- Tracing Actinobacterial Pathogenicity Life Styles}, AUTHOR = {R{\"o}ttger, Richard and Kalaghatgi, Prabhav and Sun, Peng and de Castro Soares, Siomar and Azevedo, Vasco and Wittkop, Tobias and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bts653}, LOCALID = {Local-ID: 30B0AE29B59422D6C1257AEE005D0C44-roettger2012density}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Bioinformatics}, VOLUME = {29}, NUMBER = {2}, PAGES = {215--222}, }
Endnote
%0 Journal Article %A R&#246;ttger, Richard %A Kalaghatgi, Prabhav %A Sun, Peng %A de Castro Soares, Siomar %A Azevedo, Vasco %A Wittkop, Tobias %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Density Parameter Estimation for Finding Clusters of Homologous Proteins - Tracing Actinobacterial Pathogenicity Life Styles : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7B82-8 %R 10.1093/bioinformatics/bts653 %F OTHER: Local-ID: 30B0AE29B59422D6C1257AEE005D0C44-roettger2012density %7 2012-11-09 %D 2013 %J Bioinformatics %V 29 %N 2 %& 215 %P 215 - 222 %I Oxford University Press %C Oxford, UK %@ false %U http://doi.org/10.1093/bioinformatics/bts653
390. Sandoval J, Mendez-Gonzales J, Nadal E, Chen G, Carmona FJ, Sayols S, Moran S, Heyn H, Vizoso M, Gomez A, Sanchez-Cespedes M, Assenov Y, Müller F, Bock C, Taron M, Mora J, Muscarella LA, Liloglou T, Davies M, Pollan M, Pajares MJ, Torre W, Montuenga LM, Brambilla E, Field JK, Roz L, Lo Iacono M, Scagliotti GV, Rosell R, Beer DG, et al.: A Prognostic DNA Methylation Signature for Stage I Non-Small-Cell Lung Cancer. Journal of Clinical Oncology 2013, 31.
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@article{Sandoval2013, TITLE = {A Prognostic {DNA} Methylation Signature for Stage {I} Non-Small-Cell Lung Cancer}, AUTHOR = {Sandoval, Juan and Mendez-Gonzales, Jesus and Nadal, Ernest and Chen, Guoan and Carmona, F. Javier and Sayols, Sergi and Moran, Sebastian1 and Heyn, Holger and Vizoso, Miguel and Gomez, Antonio and Sanchez-Cespedes, Montse and Assenov, Yassen and M{\"u}ller, Fabian and Bock, Christoph and Taron, Miquel and Mora, Josefina and Muscarella, Lucia A. and Liloglou, Triantafillos and Davies, Michael and Pollan, Marina and Pajares, Maria J. and Torre, Wenceslao and Montuenga, Luis M. and Brambilla, Elisabeth and Field, John K. and Roz, Luca and Lo Iacono, Marco and Scagliotti, Giorgio V. and Rosell, Rafael and Beer, David G. and Esteller, Manel}, LANGUAGE = {eng}, ISSN = {0732-183X}, DOI = {10.1200/JCO.2012.48.5516}, PUBLISHER = {Grune \& Stratton}, ADDRESS = {New York, NY}, YEAR = {2013}, DATE = {2013-11-10}, JOURNAL = {Journal of Clinical Oncology}, VOLUME = {31}, NUMBER = {32}, PAGES = {4140--4147}, }
Endnote
%0 Journal Article %A Sandoval, Juan %A Mendez-Gonzales, Jesus %A Nadal, Ernest %A Chen, Guoan %A Carmona, F. Javier %A Sayols, Sergi %A Moran, Sebastian1 %A Heyn, Holger %A Vizoso, Miguel %A Gomez, Antonio %A Sanchez-Cespedes, Montse %A Assenov, Yassen %A M&#252;ller, Fabian %A Bock, Christoph %A Taron, Miquel %A Mora, Josefina %A Muscarella, Lucia A. %A Liloglou, Triantafillos %A Davies, Michael %A Pollan, Marina %A Pajares, Maria J. %A Torre, Wenceslao %A Montuenga, Luis M. %A Brambilla, Elisabeth %A Field, John K. %A Roz, Luca %A Lo Iacono, Marco %A Scagliotti, Giorgio V. %A Rosell, Rafael %A Beer, David G. %A Esteller, Manel %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T A Prognostic DNA Methylation Signature for Stage I Non-Small-Cell Lung Cancer : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-8513-6 %R 10.1200/JCO.2012.48.5516 %7 2013-09-30 %D 2013 %8 10.11.2013 %J Journal of Clinical Oncology %V 31 %N 32 %& 4140 %P 4140 - 4147 %I Grune & Stratton %C New York, NY %@ false
391. Sangeda RZ, Theys K, Beheydt G, Rhee S-Y, Deforche K, Vercauteren J, Libin P, Imbrechts S, Grossman Z, Camacho RJ, Van Laethem K, Pironti A, Zazzi M, Sönnerborg A, Incardona F, De Luca A, Torti C, Ruiz L, Van de Vijver DAMC, Shafer RW, Bruzzone B, Van Wijngaerden E, Vandamme A-M: HIV-1 Fitness Landscape Models for Indinavir Treatment Pressure Using Observed Evolution in Longitudinal Sequence Data Are Predictive for Treatment Failure. Infection, Genetics and Evolution 2013, 19.
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@article{Pironti2013y, TITLE = {{HIV-1} Fitness Landscape Models for Indinavir Treatment Pressure Using Observed Evolution in Longitudinal Sequence Data Are Predictive for Treatment Failure}, AUTHOR = {Sangeda, Raphael Z. and Theys, Kristof and Beheydt, Gertjan and Rhee, Soo-Yon and Deforche, Koen and Vercauteren, Jurgen and Libin, Pieter and Imbrechts, Stijn and Grossman, Zehava and Camacho, Ricardo J. and Van Laethem, Kristel and Pironti, Alejandro and Zazzi, Maurizio and S{\"o}nnerborg, Anders and Incardona, Francesca and De Luca, Andrea and Torti, Carolo and Ruiz, Lidia and Van de Vijver, David A. M. C. and Shafer, Robert W. and Bruzzone, Bianca and Van Wijngaerden, Eric and Vandamme, Anne-Mieke}, LANGUAGE = {eng}, ISSN = {1567-1348}, DOI = {10.1016/j.meegid.2013.03.014}, LOCALID = {Local-ID: 617103D78A5E4215C1257C6A004E1E2B-Pironti2013}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Infection, Genetics and Evolution}, VOLUME = {19}, PAGES = {349--360}, }
Endnote
%0 Journal Article %A Sangeda, Raphael Z. %A Theys, Kristof %A Beheydt, Gertjan %A Rhee, Soo-Yon %A Deforche, Koen %A Vercauteren, Jurgen %A Libin, Pieter %A Imbrechts, Stijn %A Grossman, Zehava %A Camacho, Ricardo J. %A Van Laethem, Kristel %A Pironti, Alejandro %A Zazzi, Maurizio %A S&#246;nnerborg, Anders %A Incardona, Francesca %A De Luca, Andrea %A Torti, Carolo %A Ruiz, Lidia %A Van de Vijver, David A. M. C. %A Shafer, Robert W. %A Bruzzone, Bianca %A Van Wijngaerden, Eric %A Vandamme, Anne-Mieke %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T HIV-1 Fitness Landscape Models for Indinavir Treatment Pressure Using Observed Evolution in Longitudinal Sequence Data Are Predictive for Treatment Failure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-8477-C %R 10.1016/j.meegid.2013.03.014 %F OTHER: Local-ID: 617103D78A5E4215C1257C6A004E1E2B-Pironti2013 %7 2013-03-21 %D 2013 %J Infection, Genetics and Evolution %V 19 %& 349 %P 349 - 360 %I Elsevier %C Amsterdam %@ false %U http://www.sciencedirect.com/science/article/pii/S1567134813000877
392. Santos AR, Pereira VB, Barbosa E, Baumbach J, Pauling J, Röttger R, Turk MZ, Silva A, Miyoshi A, Azevedo V: Mature Epitope Density - A Strategy for Target Selection Based on Immunoinformatics and Exported Prokaryotic Proteins. BMC Genomics 2013, 14(Suppl 6).
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@article{PaulingRottger2013, TITLE = {Mature Epitope Density -- A Strategy for Target Selection Based on Immunoinformatics and Exported Prokaryotic Proteins}, AUTHOR = {Santos, Anderson R and Pereira, Vanessa Bastos and Barbosa, Eudes and Baumbach, Jan and Pauling, Josch and R{\"o}ttger, Richard and Turk, Meritxell Zurita and Silva, Arthur and Miyoshi, Anderson and Azevedo, Vasco}, LANGUAGE = {eng}, ISSN = {1471-2164}, DOI = {doi:10.1186/1471-2164-14-S6-S4}, PUBLISHER = {BioMed Central}, YEAR = {2013}, JOURNAL = {BMC Genomics}, VOLUME = {14}, NUMBER = {Suppl 6}, EID = {S4}, }
Endnote
%0 Journal Article %A Santos, Anderson R %A Pereira, Vanessa Bastos %A Barbosa, Eudes %A Baumbach, Jan %A Pauling, Josch %A R&#246;ttger, Richard %A Turk, Meritxell Zurita %A Silva, Arthur %A Miyoshi, Anderson %A Azevedo, Vasco %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Mature Epitope Density - A Strategy for Target Selection Based on Immunoinformatics and Exported Prokaryotic Proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-AAA6-6 %R doi:10.1186/1471-2164-14-S6-S4 %7 2013-10-25 %D 2013 %8 25.10.2013 %J BMC Genomics %V 14 %N Suppl 6 %Z sequence number: S4 %I BioMed Central %@ false %U http://www.biomedcentral.com/1471-2164/14/S6/S4
393. Savenko V: Genotyping Complex Viral Dual Infections Involving Recombinant Forms Using Population-based Sequence Data. Universität des Saarlandes; 2013.
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@mastersthesis{Savenko2013, TITLE = {Genotyping Complex Viral Dual Infections Involving Recombinant Forms Using Population-based Sequence Data}, AUTHOR = {Savenko, Valentin}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2013}, DATE = {2013}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Savenko, Valentin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotyping Complex Viral Dual Infections Involving Recombinant Forms Using Population-based Sequence Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-C285-F %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2013 %V bachelor %9 bachelor
394. Schatz MC, Taylor J, Schelhorn SE: The DNA60IFX Contest. Genome Biology 2013, 14.
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@article{Schelhorn2013, TITLE = {The {DNA60IFX} Contest}, AUTHOR = {Schatz, Michael C. and Taylor, James and Schelhorn, Sven Eric}, LANGUAGE = {eng}, ISSN = {1465-6906}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3706964&tool=pmcentrez&rendertype=abstract}, DOI = {10.1186/gb-2013-14-6-124}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2013}, JOURNAL = {Genome Biology}, VOLUME = {14}, NUMBER = {6}, PAGES = {124:1--124:4}, EID = {124}, }
Endnote
%0 Journal Article %A Schatz, Michael C. %A Taylor, James %A Schelhorn, Sven Eric %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The DNA60IFX Contest : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-796A-E %2 3706964 %R 10.1186/gb-2013-14-6-124 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3706964&tool=pmcentrez&rendertype=abstract %7 2013-06-28 %D 2013 %8 28.06.2013 %J Genome Biology %V 14 %N 6 %& 124:1 %P 124:1 - 124:4 %Z sequence number: 124 %I BioMed Central Ltd. %C London %@ false
395. Schelhorn SE, Fischer M, Tolosi L, Altmüller J, Nürnberg P, Pfister H, Lengauer T, Berthold F: Sensitive Detection of Viral Transcripts in Human Tumor Transcriptomes. PLOS Computational Biology 2013, 9.
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@article{lengauer2013m, TITLE = {Sensitive Detection of Viral Transcripts in Human Tumor Transcriptomes}, AUTHOR = {Schelhorn, Sven Eric and Fischer, Matthias and Tolosi, Laura and Altm{\"u}ller, Janine and N{\"u}rnberg, Peter and Pfister, Herbert and Lengauer, Thomas and Berthold, Frank}, LANGUAGE = {eng}, ISSN = {1553-734X}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3789765&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pcbi.1003228}, LOCALID = {Local-ID: 6C70D4D0F211A917C1257C0B00368971-lengauer2013m}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, JOURNAL = {PLOS Computational Biology}, VOLUME = {9}, NUMBER = {10}, PAGES = {1--17}, EID = {e1003228}, }
Endnote
%0 Journal Article %A Schelhorn, Sven Eric %A Fischer, Matthias %A Tolosi, Laura %A Altm&#252;ller, Janine %A N&#252;rnberg, Peter %A Pfister, Herbert %A Lengauer, Thomas %A Berthold, Frank %A contributor: Wilke, Claus O. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Sensitive Detection of Viral Transcripts in Human Tumor Transcriptomes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-796F-4 %2 3789765 %F OTHER: Local-ID: 6C70D4D0F211A917C1257C0B00368971-lengauer2013m %R 10.1371/journal.pcbi.1003228 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3789765&tool=pmcentrez&rendertype=abstract %7 2013-10-03 %D 2013 %8 03.10.2013 %J PLOS Computational Biology %O PLOS Comput Biol %V 9 %N 10 %& 1 %P 1 - 17 %Z sequence number: e1003228 %I Public Library of Science %C San Francisco, CA %@ false %U https://doi.org/10.1371/journal.pcbi.1003228
396. Schneider T, Hauschild A-C, Baumbach JI, Baumbach J: An Integrative Clinical Database and Diagnostics Platform for Biomarker Identification and Analysis in Ion Mobility Spectra of Human Exhaled Air. Journal of Integrative Bioinformatics 2013, 10.
Abstract
Over the last decade the evaluation of odors and vapors in human breath has gained more and more attention, particularly in the diagnostics of pulmonary diseases. Ion mobility spectrometry coupled with multi-capillary columns (MCC/IMS), is a well known technology for detecting volatile organic compounds (VOCs) in air. It is a comparatively inexpensive, non-invasive, high-throughput method, which is able to handle the moisture that comes with human exhaled air, and allows for characterizing of VOCs in very low concentrations. To identify discriminating compounds as biomarkers, it is necessary to have a clear understanding of the detailed composition of human breath. Therefore, in addition to the clinical studies, there is a need for a flexible and comprehensive centralized data repository, which is capable of gathering all kinds of related information. Moreover, there is a demand for automated data integration and semi-automated data analysis, in particular with regard to the rapid data accumulation, emerging from the high-throughput nature of the MCC/IMS technology. Here, we present a comprehensive database application and analysis platform, which combines metabolic maps with heterogeneous biomedical data in a well-structured manner. The design of the database is based on a hybrid of the entity-attribute-value (EAV) model and the EAV-CR, which incorporates the concepts of classes and relationships. Additionally it offers an intuitive user interface that provides easy and quick access to the platform's functionality: automated data integration and integrity validation, versioning and roll-back strategy, data retrieval as well as semi-automatic data mining and machine learning capabilities. The platform will support MCC/IMS-based biomarker identification and validation. The software, schemata, data sets and further information is publicly available at \urlhttp://imsdb.mpi-inf.mpg.de.
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@article{Hauschild2013d, TITLE = {An Integrative Clinical Database and Diagnostics Platform for Biomarker Identification and Analysis in Ion Mobility Spectra of Human Exhaled Air}, AUTHOR = {Schneider, Till and Hauschild, Anne-Christin and Baumbach, Joerg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1613-4516}, DOI = {10.2390/biecoll-jib-2013-218}, PUBLISHER = {IMBio}, ADDRESS = {Gatersleben}, YEAR = {2013}, ABSTRACT = {Over the last decade the evaluation of odors and vapors in human breath has gained more and more attention, particularly in the diagnostics of pulmonary diseases. Ion mobility spectrometry coupled with multi-capillary columns (MCC/IMS), is a well known technology for detecting volatile organic compounds (VOCs) in air. It is a comparatively inexpensive, non-invasive, high-throughput method, which is able to handle the moisture that comes with human exhaled air, and allows for characterizing of VOCs in very low concentrations. To identify discriminating compounds as biomarkers, it is necessary to have a clear understanding of the detailed composition of human breath. Therefore, in addition to the clinical studies, there is a need for a flexible and comprehensive centralized data repository, which is capable of gathering all kinds of related information. Moreover, there is a demand for automated data integration and semi-automated data analysis, in particular with regard to the rapid data accumulation, emerging from the high-throughput nature of the MCC/IMS technology. Here, we present a comprehensive database application and analysis platform, which combines metabolic maps with heterogeneous biomedical data in a well-structured manner. The design of the database is based on a hybrid of the entity-attribute-value (EAV) model and the EAV-CR, which incorporates the concepts of classes and relationships. Additionally it offers an intuitive user interface that provides easy and quick access to the platform's functionality: automated data integration and integrity validation, versioning and roll-back strategy, data retrieval as well as semi-automatic data mining and machine learning capabilities. The platform will support MCC/IMS-based biomarker identification and validation. The software, schemata, data sets and further information is publicly available at \urlhttp://imsdb.mpi-inf.mpg.de.}, JOURNAL = {Journal of Integrative Bioinformatics}, VOLUME = {10}, NUMBER = {2}, EID = {218}, }
Endnote
%0 Journal Article %A Schneider, Till %A Hauschild, Anne-Christin %A Baumbach, Joerg Ingo %A Baumbach, Jan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An Integrative Clinical Database and Diagnostics Platform for Biomarker Identification and Analysis in Ion Mobility Spectra of Human Exhaled Air : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-84CF-8 %R 10.2390/biecoll-jib-2013-218 %7 2013-04-02 %D 2013 %8 02.04.2013 %X Over the last decade the evaluation of odors and vapors in human breath has gained more and more attention, particularly in the diagnostics of pulmonary diseases. Ion mobility spectrometry coupled with multi-capillary columns (MCC/IMS), is a well known technology for detecting volatile organic compounds (VOCs) in air. It is a comparatively inexpensive, non-invasive, high-throughput method, which is able to handle the moisture that comes with human exhaled air, and allows for characterizing of VOCs in very low concentrations. To identify discriminating compounds as biomarkers, it is necessary to have a clear understanding of the detailed composition of human breath. Therefore, in addition to the clinical studies, there is a need for a flexible and comprehensive centralized data repository, which is capable of gathering all kinds of related information. Moreover, there is a demand for automated data integration and semi-automated data analysis, in particular with regard to the rapid data accumulation, emerging from the high-throughput nature of the MCC/IMS technology. Here, we present a comprehensive database application and analysis platform, which combines metabolic maps with heterogeneous biomedical data in a well-structured manner. The design of the database is based on a hybrid of the entity-attribute-value (EAV) model and the EAV-CR, which incorporates the concepts of classes and relationships. Additionally it offers an intuitive user interface that provides easy and quick access to the platform's functionality: automated data integration and integrity validation, versioning and roll-back strategy, data retrieval as well as semi-automatic data mining and machine learning capabilities. The platform will support MCC/IMS-based biomarker identification and validation. The software, schemata, data sets and further information is publicly available at \urlhttp://imsdb.mpi-inf.mpg.de. %J Journal of Integrative Bioinformatics %V 10 %N 2 %Z sequence number: 218 %I IMBio %C Gatersleben %@ false %U http://dx.doi.org/10.2390/biecoll-jib-2013-218
397. Steijger T, Abril JF, Engström PG, Kokocinski F, Akerman M, Alioto T, Ambrosini G, Antonarakis SE, Behr J, Bohnert R, Bucher P, Cloonan N, Derrien T, Djebali S, Du J, Dudoit S, Engström PG, Gerstein M, Gingeras TR, Gonzalez D, Grimmond SM, Habegger L, Iseli C, Jean G, Kahles A, Kokocinski F, Lagarde J, Leng J, Lefebvre G, Lewis S, et al.: Assessment of Transcript Reconstruction Methods for RNA-seq. Nature Methods 2013, 10.
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@article{SchulzC2013, TITLE = {Assessment of Transcript Reconstruction Methods for {RNA-seq}}, AUTHOR = {Steijger, Tamara and Abril, Josep F. and Engstr{\"o}m, P{\"a}r G. and Kokocinski, Felix and Akerman, M. and Alioto, T. and Ambrosini, G. and Antonarakis, S. E. and Behr, J. and Bohnert, R. and Bucher, P. and Cloonan, N. and Derrien, T. and Djebali, S. and Du, J. and Dudoit, S. and Engstr{\"o}m, P. G. and Gerstein, M. and Gingeras, T. R. and Gonzalez, D. and Grimmond, S. M. and Habegger, L. and Iseli, C. and Jean, G. and Kahles, A. and Kokocinski, F. and Lagarde, J. and Leng, J. and Lefebvre, G. and Lewis, S. and Mortazavi, A. and Niermann, P. and R{\"a}tsch, G. and Reymond, A. and Ribeca, P. and Richard, H. and Rougemont, J. and Rozowsky, J. and Sammeth, M. and Sboner, A. and Schulz, Marcel Holger and Searle, S. M. and Solorzano, N. D. and Solovyev, V. and Stanke, M. and Steijger, T. and Stevenson, B. J. and Stockinger, H. and Valsesia, A. and Weese, D. and White, S. and Wold, B. J. and Wu, J. and Wu, T. D. and Zeller, G. and Zerbino, D. and Zhang, M. Q. and Hubbard, Tim J. and Guig{\'o}, Roderic and Harrow, Jennifer and Bertone, Paul}, LANGUAGE = {eng}, ISSN = {1548-7091}, DOI = {10.1038/nmeth.2714}, LOCALID = {Local-ID: 75F13D2139AD2478C1257C6A004F9484-SchulzC2013}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Nature Methods}, VOLUME = {10}, NUMBER = {12}, PAGES = {1177--1184}, }
Endnote
%0 Journal Article %A Steijger, Tamara %A Abril, Josep F. %A Engstr&#246;m, P&#228;r G. %A Kokocinski, Felix %A Akerman, M. %A Alioto, T. %A Ambrosini, G. %A Antonarakis, S. E. %A Behr, J. %A Bohnert, R. %A Bucher, P. %A Cloonan, N. %A Derrien, T. %A Djebali, S. %A Du, J. %A Dudoit, S. %A Engstr&#246;m, P. G. %A Gerstein, M. %A Gingeras, T. R. %A Gonzalez, D. %A Grimmond, S. M. %A Habegger, L. %A Iseli, C. %A Jean, G. %A Kahles, A. %A Kokocinski, F. %A Lagarde, J. %A Leng, J. %A Lefebvre, G. %A Lewis, S. %A Mortazavi, A. %A Niermann, P. %A R&#228;tsch, G. %A Reymond, A. %A Ribeca, P. %A Richard, H. %A Rougemont, J. %A Rozowsky, J. %A Sammeth, M. %A Sboner, A. %A Schulz, Marcel Holger %A Searle, S. M. %A Solorzano, N. D. %A Solovyev, V. %A Stanke, M. %A Steijger, T. %A Stevenson, B. J. %A Stockinger, H. %A Valsesia, A. %A Weese, D. %A White, S. %A Wold, B. J. %A Wu, J. %A Wu, T. D. %A Zeller, G. %A Zerbino, D. %A Zhang, M. Q. %A Hubbard, Tim J. %A Guig&#243;, Roderic %A Harrow, Jennifer %A Bertone, Paul %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Assessment of Transcript Reconstruction Methods for RNA-seq : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7A4B-C %R 10.1038/nmeth.2714 %2 PMC3851240 %F OTHER: Local-ID: 75F13D2139AD2478C1257C6A004F9484-SchulzC2013 %7 2013-11-03 %D 2013 %J Nature Methods %V 10 %N 12 %& 1177 %P 1177 - 1184 %I Nature Pub. Group %C New York, NY %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851240/
398. Tolosi L, Theißen J, Halachev K, Hero B, Berthold F, Lengauer T: A Method for Finding Consensus Breakpoints in the Cancer Genome From Copy Number Data. Bioinformatics 2013, 29.
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@article{lengauer2013l, TITLE = {A Method for Finding Consensus Breakpoints in the Cancer Genome From Copy Number Data}, AUTHOR = {Tolosi, Laura and Thei{\ss}en, Jessica and Halachev, Konstantin and Hero, Barbara and Berthold, Frank and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btt300}, LOCALID = {Local-ID: B1C8C34D9C5C30ACC1257C0B0036298B-lengauer2013l}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Bioinformatics}, VOLUME = {29}, NUMBER = {14}, PAGES = {1793--1800}, }
Endnote
%0 Journal Article %A Tolosi, Laura %A Thei&#223;en, Jessica %A Halachev, Konstantin %A Hero, Barbara %A Berthold, Frank %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Method for Finding Consensus Breakpoints in the Cancer Genome From Copy Number Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7C20-B %R 10.1093/bioinformatics/btt300 %F OTHER: Local-ID: B1C8C34D9C5C30ACC1257C0B0036298B-lengauer2013l %7 2013-05-28 %D 2013 %J Bioinformatics %V 29 %N 14 %& 1793 %P 1793 - 1800 %I Oxford University Press %C Oxford, UK %@ false
399. Vermehren A, Welsch C, Elsler U, Vermehren J, Herrmann E, Sarazin C, von Wagner M, Susser S, Hofmann WP, Kronenberger B, Zeuzem S, Mihm U: Investigation of Viral Escape Mutations within HCV p7 During Treatment with Amantadine in Patients with Chronic Hepatitis C. Antiviral Therapy 2013, 18.
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@article{Susser2013, TITLE = {Investigation of Viral Escape Mutations within {HCV} p7 During Treatment with Amantadine in Patients with Chronic Hepatitis {C}}, AUTHOR = {Vermehren, Annika and Welsch, Christoph and Elsler, Ulrike and Vermehren, Johannes and Herrmann, Eva and Sarazin, Christoph and von Wagner, Michael and Susser, Simone and Hofmann, Wolf Peter and Kronenberger, Bernd and Zeuzem, Stefan and Mihm, Ulrike}, LANGUAGE = {eng}, ISSN = {1359-6535}, DOI = {10.3851/IMP2663}, PUBLISHER = {International Medical Press}, ADDRESS = {London}, YEAR = {2013}, JOURNAL = {Antiviral Therapy}, VOLUME = {18}, PAGES = {803--811}, }
Endnote
%0 Journal Article %A Vermehren, Annika %A Welsch, Christoph %A Elsler, Ulrike %A Vermehren, Johannes %A Herrmann, Eva %A Sarazin, Christoph %A von Wagner, Michael %A Susser, Simone %A Hofmann, Wolf Peter %A Kronenberger, Bernd %A Zeuzem, Stefan %A Mihm, Ulrike %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Investigation of Viral Escape Mutations within HCV p7 During Treatment with Amantadine in Patients with Chronic Hepatitis C : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A863-E %R 10.3851/IMP2663 %7 2013 %D 2013 %J Antiviral Therapy %V 18 %& 803 %P 803 - 811 %I International Medical Press %C London %@ false
400. Weimann A, Trukhina Y, Pope PB, Konietzny S, McHardy AC: De Novo Prediction of the Genomic Components and Capabilities for Microbial Plant Biomass Degradation from (meta-)Genomes. Biotechnology for Biofuels 2013, 6.
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@article{WeimannTrukhina2013, TITLE = {De Novo Prediction of the Genomic Components and Capabilities for Microbial Plant Biomass Degradation from (meta-)Genomes}, AUTHOR = {Weimann, Aaron and Trukhina, Yulia and Pope, Philip B. and Konietzny, Sebastian and McHardy, Alice Carolyn}, LANGUAGE = {eng}, DOI = {10.1186/1754-6834-6-24}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2013}, JOURNAL = {Biotechnology for Biofuels}, VOLUME = {6}, EID = {24}, }
Endnote
%0 Journal Article %A Weimann, Aaron %A Trukhina, Yulia %A Pope, Philip B. %A Konietzny, Sebastian %A McHardy, Alice Carolyn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Genomics and Epidemiology, MPI for Informatics, Max Planck Society External Organizations Computational Genomics and Epidemiology, MPI for Informatics, Max Planck Society Computational Genomics and Epidemiology, MPI for Informatics, Max Planck Society %T De Novo Prediction of the Genomic Components and Capabilities for Microbial Plant Biomass Degradation from (meta-)Genomes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A8A4-B %R 10.1186/1754-6834-6-24 %7 2013-02-15 %D 2013 %8 15.02.2013 %J Biotechnology for Biofuels %V 6 %Z sequence number: 24 %I BioMed Central %C London
401. Zakharkina T, Heinzel E, Koczulla RA, Greulich T, Rentz K, Pauling J, Baumbach J, Herrmann M, Grunewald C, Dienemann H, von Müller L, Bals R: Analysis of the Airway Microbiota of Healthy Individuals and Patients with Chronic Obstructive Pulmonary Disease by T-RFLP and Clone Sequencing. PLoS One 2013, 8.
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@article{PaulingBaumbach2013, TITLE = {Analysis of the Airway Microbiota of Healthy Individuals and Patients with Chronic Obstructive Pulmonary Disease by {T-RFLP} and Clone Sequencing}, AUTHOR = {Zakharkina, Tetyana and Heinzel, Elke and Koczulla, Rembert A. and Greulich, Timm and Rentz, Katharina and Pauling, Josch and Baumbach, Jan and Herrmann, Mathias and Grunewald, Christiane and Dienemann, Hendrik and von M{\"u}ller, Lutz and Bals, Robert}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0068302}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, JOURNAL = {PLoS One}, VOLUME = {8}, NUMBER = {7}, EID = {e68302}, }
Endnote
%0 Journal Article %A Zakharkina, Tetyana %A Heinzel, Elke %A Koczulla, Rembert A. %A Greulich, Timm %A Rentz, Katharina %A Pauling, Josch %A Baumbach, Jan %A Herrmann, Mathias %A Grunewald, Christiane %A Dienemann, Hendrik %A von M&#252;ller, Lutz %A Bals, Robert %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Analysis of the Airway Microbiota of Healthy Individuals and Patients with Chronic Obstructive Pulmonary Disease by T-RFLP and Clone Sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0018-A9BE-9 %R 10.1371/journal.pone.0068302 %7 2013-07-09 %D 2013 %8 09.07.2013 %J PLoS One %V 8 %N 7 %Z sequence number: e68302 %I Public Library of Science %C San Francisco, CA %@ false %U http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0068302
402. Zanon A, Rakovic A, Blankenburg H, Doncheva NT, Schwienbacher C, Serafin A, Alexa A, Weichenberger CX, Albrecht M, Klein C, Hicks AA, Pramstaller PP, Domingues FS, Pichler I: Profiling of Parkin-binding Partners Using Tandem Affinity Purification. PLoS One 2013, 8.
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@article{Albrecht2013c, TITLE = {Profiling of {P}arkin-binding Partners Using Tandem Affinity Purification}, AUTHOR = {Zanon, Alessandra and Rakovic, Aleksandar and Blankenburg, Hagen and Doncheva, Nadezhda Tsankova and Schwienbacher, Christine and Serafin, Alice and Alexa, Adrian and Weichenberger, Christian X. and Albrecht, Mario and Klein, Christine and Hicks, Andrew A. and Pramstaller, Peter P. and Domingues, Francisco S. and Pichler, Irene}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3823883&tool=pmcentrez&rendertype=abstract}, DOI = {10.1371/journal.pone.0078648}, LOCALID = {Local-ID: 348090E858FCD2E4C1257C70004DB8FD-Albrecht2013c}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2013}, JOURNAL = {PLoS One}, VOLUME = {8}, NUMBER = {11}, PAGES = {1--17}, EID = {e78648}, }
Endnote
%0 Journal Article %A Zanon, Alessandra %A Rakovic, Aleksandar %A Blankenburg, Hagen %A Doncheva, Nadezhda Tsankova %A Schwienbacher, Christine %A Serafin, Alice %A Alexa, Adrian %A Weichenberger, Christian X. %A Albrecht, Mario %A Klein, Christine %A Hicks, Andrew A. %A Pramstaller, Peter P. %A Domingues, Francisco S. %A Pichler, Irene %A contributor: Westermark, Per %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Profiling of Parkin-binding Partners Using Tandem Affinity Purification : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-7987-E %2 3823883 %F OTHER: Local-ID: 348090E858FCD2E4C1257C70004DB8FD-Albrecht2013c %R 10.1371/journal.pone.0078648 %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3823883&tool=pmcentrez&rendertype=abstract %7 2013-11-11 %D 2013 %8 11.11.2013 %J PLoS One %V 8 %N 11 %& 1 %P 1 - 17 %Z sequence number: e78648 %I Public Library of Science %C San Francisco, CA %@ false
403. Ziller MJ, Gu H, Müller F, Donaghey J, Tsai LT-Y, Kohlbacher O, De Jager PL, Rosen ED, Bennett DA, Bernstein BE, Gnirke A, Meissner A: Charting a Dynamic DNA Methylation Landscape of the Human Genome. Nature 2013, 500.
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@article{Ziller2013, TITLE = {Charting a Dynamic {DNA} Methylation Landscape of the Human Genome}, AUTHOR = {Ziller, Michael J. and Gu, Hongcang and M{\"u}ller, Fabian and Donaghey, Julie and Tsai, Linus T.-Y. and Kohlbacher, Oliver and De Jager, Philip L. and Rosen, Evan D. and Bennett, David A. and Bernstein, Bradley E. and Gnirke, Andreas and Meissner, Alexander}, LANGUAGE = {eng}, ISSN = {0028-0836}, DOI = {10.1038/nature12433}, LOCALID = {Local-ID: 6CAEAA3794FDEA3BC1257C6000605839-Ziller2013}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2013}, DATE = {2013}, JOURNAL = {Nature}, VOLUME = {500}, NUMBER = {7463}, PAGES = {477--481}, }
Endnote
%0 Journal Article %A Ziller, Michael J. %A Gu, Hongcang %A M&#252;ller, Fabian %A Donaghey, Julie %A Tsai, Linus T.-Y. %A Kohlbacher, Oliver %A De Jager, Philip L. %A Rosen, Evan D. %A Bennett, David A. %A Bernstein, Bradley E. %A Gnirke, Andreas %A Meissner, Alexander %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Charting a Dynamic DNA Methylation Landscape of the Human Genome : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0015-851A-7 %R 10.1038/nature12433 %2 PMC3821869 %F OTHER: Local-ID: 6CAEAA3794FDEA3BC1257C6000605839-Ziller2013 %7 2013-08-07 %D 2013 %J Nature %V 500 %N 7463 %& 477 %P 477 - 481 %I Nature Publishing Group %C London %@ false
2012
404. Adams D, Altucci L, Antonarakis SE, Ballesteros J, Beck S, Bird A, Bock C, Boehm B, Campo E, Caricasole A, Dahl F, Dermitzakis ET, Enver T, Esteller M, Estivill X, Ferguson-Smith A, Fitzgibbon J, Flicek P, Giehl C, Graf T, Grosveld F, Guigo R, Gut I, Helin K, Jarvius J, Küppers R, Lehrach H, Lengauer T, Lernmark A, Leslie D, et al.: BLUEPRINT to Decode the Epigenetic Signature Written in Blood. Nature biotechnology 2012, 30.
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@article{Adams2012, TITLE = {{BLUEPRINT} to Decode the Epigenetic Signature Written in Blood}, AUTHOR = {Adams, David and Altucci, Lucia and Antonarakis, Stylionos E. and Ballesteros, Juan and Beck, Stephan and Bird, Adrian and Bock, Christoph and Boehm, Bernhard and Campo, Elias and Caricasole, Andrea and Dahl, Frederik and Dermitzakis, Emmanouil T. and Enver, Tariq and Esteller, Manel and Estivill, Xavier and Ferguson-Smith, Anne and Fitzgibbon, Jude and Flicek, Paul and Giehl, Claudia and Graf, Thomas and Grosveld, Frank and Guigo, Roderic and Gut, Ivo and Helin, Kristian and Jarvius, Jonas and K{\"u}ppers, Ralf and Lehrach, Hans and Lengauer, Thomas and Lernmark, Ake and Leslie, David and Loeffler, Markus and Macintyre, Elizabeth and Mai, Antonello and Martens, Joost H. A. and Minucci, Saverio and Ouwehand, Willem H. and Pelicci, Pier Giuseppe and Pendeville, H{\`e}l{\'e}ne and Porse, Bo and Rakyan, Vardham and Reik, Wolf and Schrappe, Martin and Sch{\"u}beler, Dirk and Seifert, Martin and Siebert, Reiner and Simmons, David and Soranzo, Nicole and Spicuglia, Salvatore and Stratton, Michael and Stunnenberg, Hendrik G. and Tanay, Amos and Torrents, David and Valencia, Alfonso and Vellenga, Edo and Vingron, Martin and Walter, J{\"o}rn and Willcocks, Spike}, LANGUAGE = {eng}, ISSN = {1087-0156; 1546-1696}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22398613}, DOI = {10.1038/nbt.2153}, LOCALID = {Local-ID: 9989EDB3AC4E86A0C1257B02002F3253-Adams2012}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {New York, NY}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Nature biotechnology}, VOLUME = {30}, NUMBER = {3}, PAGES = {224--226}, }
Endnote
%0 Journal Article %A Adams, David %A Altucci, Lucia %A Antonarakis, Stylionos E. %A Ballesteros, Juan %A Beck, Stephan %A Bird, Adrian %A Bock, Christoph %A Boehm, Bernhard %A Campo, Elias %A Caricasole, Andrea %A Dahl, Frederik %A Dermitzakis, Emmanouil T. %A Enver, Tariq %A Esteller, Manel %A Estivill, Xavier %A Ferguson-Smith, Anne %A Fitzgibbon, Jude %A Flicek, Paul %A Giehl, Claudia %A Graf, Thomas %A Grosveld, Frank %A Guigo, Roderic %A Gut, Ivo %A Helin, Kristian %A Jarvius, Jonas %A K&#252;ppers, Ralf %A Lehrach, Hans %A Lengauer, Thomas %A Lernmark, Ake %A Leslie, David %A Loeffler, Markus %A Macintyre, Elizabeth %A Mai, Antonello %A Martens, Joost H. A. %A Minucci, Saverio %A Ouwehand, Willem H. %A Pelicci, Pier Giuseppe %A Pendeville, H&#232;l&#233;ne %A Porse, Bo %A Rakyan, Vardham %A Reik, Wolf %A Schrappe, Martin %A Sch&#252;beler, Dirk %A Seifert, Martin %A Siebert, Reiner %A Simmons, David %A Soranzo, Nicole %A Spicuglia, Salvatore %A Stratton, Michael %A Stunnenberg, Hendrik G. %A Tanay, Amos %A Torrents, David %A Valencia, Alfonso %A Vellenga, Edo %A Vingron, Martin %A Walter, J&#246;rn %A Willcocks, Spike %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T BLUEPRINT to Decode the Epigenetic Signature Written in Blood : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D20B-B %F OTHER: Local-ID: 9989EDB3AC4E86A0C1257B02002F3253-Adams2012 %R 10.1038/nbt.2153 %U http://www.ncbi.nlm.nih.gov/pubmed/22398613 %7 2012-03-07 %D 2012 %K Animals Blood Cells/classification/cytology/metabolism *Epigenesis, Genetic Genome Humans RNA Interference *Societies, Scientific %J Nature biotechnology %V 30 %N 3 %& 224 %P 224 - 226 %I Nature Publishing Group %C New York, NY %@ false
405. Alcaraz N, Friedrich T, Kötzing T, Müller J, Pauling J, Baumbach J: Efficient Key Pathway Mining: Combining Networks and OMICS Data. Integrative Biology 2012, 4.
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@article{AlcarayFKKMPB2012, TITLE = {Efficient Key Pathway Mining: Combining Networks and {OMICS} Data}, AUTHOR = {Alcaraz, Nicolas and Friedrich, Tobias and K{\"o}tzing, Timo and M{\"u}ller, Joachim and Pauling, Josch and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1757-9694}, DOI = {10.1039/C2IB00133K}, LOCALID = {Local-ID: 838EF16B927A5642C1257AC6004F073E-AlcarayFKKMPB2012}, PUBLISHER = {The Royal Society of Chemistry}, ADDRESS = {London, UK}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Integrative Biology}, VOLUME = {4}, NUMBER = {7}, PAGES = {756--764}, }
Endnote
%0 Journal Article %A Alcaraz, Nicolas %A Friedrich, Tobias %A K&#246;tzing, Timo %A M&#252;ller, Joachim %A Pauling, Josch %A Baumbach, Jan %+ Cluster of Excellence Multimodal Computing and Interaction Algorithms and Complexity, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Cluster of Excellence Multimodal Computing and Interaction Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient Key Pathway Mining: Combining Networks and OMICS Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C4FE-9 %F OTHER: Local-ID: 838EF16B927A5642C1257AC6004F073E-AlcarayFKKMPB2012 %R 10.1039/C2IB00133K %7 2012-02-21 %D 2012 %J Integrative Biology %V 4 %N 7 %& 756 %P 756 - 764 %I The Royal Society of Chemistry %C London, UK %@ false
406. Alcaraz N, Kucuk H, Weile J, Wipat A, Baumbach J: KeyPathwayMiner - Detecting Case-specific Biological Pathways by Using Expression Data. Internet Mathematics 2012, 7.
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@article{Baumbach2011g, TITLE = {{KeyPathwayMiner} -- Detecting Case-specific Biological Pathways by Using Expression Data}, AUTHOR = {Alcaraz, Nicolas and Kucuk, Hande and Weile, Jochen and Wipat, Anil and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1542-7951; 1944-9488}, DOI = {10.1080/15427951.2011.604548}, LOCALID = {Local-ID: 1AB729ED38458292C125798400529F56-Baumbach2011g}, PUBLISHER = {Peters}, ADDRESS = {Natick, Mass.}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Internet Mathematics}, VOLUME = {7}, NUMBER = {4}, PAGES = {299--313}, JOURNAL = {Biological Networks}, EDITOR = {Przulj, Natasa}, }
Endnote
%0 Journal Article %A Alcaraz, Nicolas %A Kucuk, Hande %A Weile, Jochen %A Wipat, Anil %A Baumbach, Jan %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T KeyPathwayMiner - Detecting Case-specific Biological Pathways by Using Expression Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C584-4 %R 10.1080/15427951.2011.604548 %F OTHER: Local-ID: 1AB729ED38458292C125798400529F56-Baumbach2011g %7 2011-11-30 %D 2012 %J Internet Mathematics %V 7 %N 4 %& 299 %P 299 - 313 %I Peters %C Natick, Mass. %@ false %B Biological Networks %U http://projecteuclid.org/euclid.im/1323367282
407. Bader M: Clustering Epigenetic Data Using a Dirichlet Process Prior. Universität des Saarlandes; 2012.
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@mastersthesis{BaderMaster2012, TITLE = {Clustering Epigenetic Data Using a {Dirichlet} Process Prior}, AUTHOR = {Bader, Mathias}, LANGUAGE = {eng}, LOCALID = {Local-ID: E8A202C2006A8F23C1257B2700542135-BaderMaster2012}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Bader, Mathias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Clustering Epigenetic Data Using a Dirichlet Process Prior : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BA44-B %F OTHER: Local-ID: E8A202C2006A8F23C1257B2700542135-BaderMaster2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master
408. Bastys T: MAP Kinase Docking Motifs in HIV Proteins. Universität des Saarlandes; 2012.
Abstract
After 30 years of research, acquired immunodeficiency syndrome (AIDS) is still considered a pandemic and has no cure. Human immunodeficiency virus (HIV), which causes the disease, depends on the cellular protein machinery to replicate in the host cells. It has been suggested by different studies to employ mitogen-activated protein kinases (MAPKs), enzyme active in cell signalling, among other proteins. For its target recognition, MAPKs use a site on their surface separate from their active site, which recognises and docks with short linear motifs. This is a promising lead for targeting with drugs to inhibit HIV replication. In this work the presence of such motifs was investigated in HIV proteins. Identified motifs were evaluated statistically. Afterwords selected candidates were modelled in complex with MAPK and docked. Additionally, the conservation of such motifs in HIV protein sequences was analysed to gain insight into evolution of MAPK docking motifs in HIV.
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@mastersthesis{Bastys2012, TITLE = {{MAP} Kinase Docking Motifs in {HIV} Proteins}, AUTHOR = {Bastys, Tomas}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {After 30 years of research, acquired immunodeficiency syndrome (AIDS) is still considered a pandemic and has no cure. Human immunodeficiency virus (HIV), which causes the disease, depends on the cellular protein machinery to replicate in the host cells. It has been suggested by different studies to employ mitogen-activated protein kinases (MAPKs), enzyme active in cell signalling, among other proteins. For its target recognition, MAPKs use a site on their surface separate from their active site, which recognises and docks with short linear motifs. This is a promising lead for targeting with drugs to inhibit HIV replication. In this work the presence of such motifs was investigated in HIV proteins. Identified motifs were evaluated statistically. Afterwords selected candidates were modelled in complex with MAPK and docked. Additionally, the conservation of such motifs in HIV protein sequences was analysed to gain insight into evolution of MAPK docking motifs in HIV.}, }
Endnote
%0 Thesis %A Bastys, Tomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T MAP Kinase Docking Motifs in HIV Proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB01-A %F OTHER: C3FC38B8C7592CE8C1257AF60049E3A2-Bastys2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master %X After 30 years of research, acquired immunodeficiency syndrome (AIDS) is still considered a pandemic and has no cure. Human immunodeficiency virus (HIV), which causes the disease, depends on the cellular protein machinery to replicate in the host cells. It has been suggested by different studies to employ mitogen-activated protein kinases (MAPKs), enzyme active in cell signalling, among other proteins. For its target recognition, MAPKs use a site on their surface separate from their active site, which recognises and docks with short linear motifs. This is a promising lead for targeting with drugs to inhibit HIV replication. In this work the presence of such motifs was investigated in HIV proteins. Identified motifs were evaluated statistically. Afterwords selected candidates were modelled in complex with MAPK and docked. Additionally, the conservation of such motifs in HIV protein sequences was analysed to gain insight into evolution of MAPK docking motifs in HIV.
409. Baumbach J: Integrative Computational Biology. Integrative Biology : quantitative biosciences from nano to macro 2012, 4.
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@article{Baumbach2012, TITLE = {Integrative Computational Biology}, AUTHOR = {Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1757-9708; 1757-9694}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22706452}, DOI = {10.1039/c2ib90016e}, LOCALID = {Local-ID: B690C55C9B9D9377C1257B2800358BFD-Baumbach2012}, PUBLISHER = {Royal Society of Chemistry}, ADDRESS = {London}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Integrative Biology : quantitative biosciences from nano to macro}, VOLUME = {4}, NUMBER = {7}, PAGES = {713--714}, }
Endnote
%0 Journal Article %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrative Computational Biology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D209-F %F OTHER: Local-ID: B690C55C9B9D9377C1257B2800358BFD-Baumbach2012 %R 10.1039/c2ib90016e %U http://www.ncbi.nlm.nih.gov/pubmed/22706452 %7 2012-06-15 %D 2012 %K Animals Bacterial Physiological Phenomena Computational Biology/*methods Computer Systems DNA Barcoding, Taxonomic Databases, Factual Genes, Bacterial Genomics Humans Protein Interaction Mapping Proteomics/methods Software Systems Biology %J Integrative Biology : quantitative biosciences from nano to macro %O Integr Biol %V 4 %N 7 %& 713 %P 713 - 714 %I Royal Society of Chemistry %C London %@ false
410. Baumbach J, Friedrich T, Kötzing T, Krohmer A, Müller J, Pauling J: Efficient Algorithms for Extracting Biological Key Pathways with Global Constraints. In GECCO’12, Fourteenth International Conference on Genetic and Evolutionary Computation. ACM; 2012.
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@inproceedings{BaumbachFKKMP2011, TITLE = {Efficient Algorithms for Extracting Biological Key Pathways with Global Constraints}, AUTHOR = {Baumbach, Jan and Friedrich, Tobias and K{\"o}tzing, Timo and Krohmer, Anton and M{\"u}ller, Joachim and Pauling, Josch}, LANGUAGE = {eng}, ISBN = {978-1-4503-1177-9}, DOI = {10.1145/2330163.2330188}, LOCALID = {Local-ID: AA1A2CBB406CE65DC1257AC6004CAB27-BaumbachFKKMP2011}, PUBLISHER = {ACM}, YEAR = {2012}, DATE = {2012}, BOOKTITLE = {GECCO'12, Fourteenth International Conference on Genetic and Evolutionary Computation}, EDITOR = {Soule, Terence}, PAGES = {169--176}, ADDRESS = {Philadelphia, PA}, }
Endnote
%0 Conference Proceedings %A Baumbach, Jan %A Friedrich, Tobias %A K&#246;tzing, Timo %A Krohmer, Anton %A M&#252;ller, Joachim %A Pauling, Josch %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient Algorithms for Extracting Biological Key Pathways with Global Constraints : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB66-6 %R 10.1145/2330163.2330188 %F OTHER: Local-ID: AA1A2CBB406CE65DC1257AC6004CAB27-BaumbachFKKMP2011 %D 2012 %B Fourteenth International Conference on Genetic and Evolutionary Computation %Z date of event: 2012-07-07 - 2012-07-12 %C Philadelphia, PA %B GECCO'12 %E Soule, Terence %P 169 - 176 %I ACM %@ 978-1-4503-1177-9
411. Beggel B, Neumann-Fraune M, Döring M, Lawyer G, Kaiser R, Verheyen J, Lengauer T: Genotyping Hepatitis B Virus Dual Infections Using Population-based Sequence Data. Journal of General Virology 2012, 93.
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@article{Beggel2012, TITLE = {Genotyping Hepatitis {B} Virus Dual Infections Using Population-based Sequence Data}, AUTHOR = {Beggel, Bastian and Neumann-Fraune, Maria and D{\"o}ring, Matthias and Lawyer, Glenn and Kaiser, Rolf and Verheyen, Jens and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0022-1317}, DOI = {10.1099/vir.0.043042-0}, LOCALID = {Local-ID: 497568B14391E344C1257AD30047BB4A-Beggel2012}, PUBLISHER = {Society for General Microbiology [etc.]}, ADDRESS = {London [etc.]}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Journal of General Virology}, VOLUME = {93}, NUMBER = {9}, PAGES = {1899--1907}, }
Endnote
%0 Journal Article %A Beggel, Bastian %A Neumann-Fraune, Maria %A D&#246;ring, Matthias %A Lawyer, Glenn %A Kaiser, Rolf %A Verheyen, Jens %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotyping Hepatitis B Virus Dual Infections Using Population-based Sequence Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D1FC-6 %R 10.1099/vir.0.043042-0 %F OTHER: Local-ID: 497568B14391E344C1257AD30047BB4A-Beggel2012 %7 2012-06-13 %D 2012 %J Journal of General Virology %V 93 %N 9 %& 1899 %P 1899 - 1907 %I Society for General Microbiology [etc.] %C London [etc.] %@ false %U http://vir.sgmjournals.org/content/93/Pt_9/1899
412. Bhattacharyya M, Feuerbach L, Bhadra T, Lengauer T, Bandyopadhyay S: MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection. Statistical Applications in Genetics and Molecular Biology 2012, 11.
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@article{Bandyopadhyay2011, TITLE = {{MicroRNA} Transcription Start Site Prediction with Multi-objective Feature Selection}, AUTHOR = {Bhattacharyya, Malay and Feuerbach, Lars and Bhadra, Tapas and Lengauer, Thomas and Bandyopadhyay, Sanghamitra}, LANGUAGE = {eng}, ISSN = {1544-6115}, DOI = {10.2202/1544-6115.1743}, LOCALID = {Local-ID: F45F4EE51DD4C2E1C12579DD0034CA49-Bandyopadhyay2011}, PUBLISHER = {Berkeley Electronic Press}, ADDRESS = {Berkeley, CA}, YEAR = {2012}, JOURNAL = {Statistical Applications in Genetics and Molecular Biology}, VOLUME = {11}, NUMBER = {1}, PAGES = {6:1--6:25}, EID = {6}, }
Endnote
%0 Journal Article %A Bhattacharyya, Malay %A Feuerbach, Lars %A Bhadra, Tapas %A Lengauer, Thomas %A Bandyopadhyay, Sanghamitra %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D1ED-A %R 10.2202/1544-6115.1743 %F OTHER: Local-ID: F45F4EE51DD4C2E1C12579DD0034CA49-Bandyopadhyay2011 %7 2012-01-06 %D 2012 %8 06.01.2012 %J Statistical Applications in Genetics and Molecular Biology %V 11 %N 1 %& 6:1 %P 6:1 - 6:25 %Z sequence number: 6 %I Berkeley Electronic Press %C Berkeley, CA %@ false
413. Bock C, Lengauer T: Managing Drug Resistance in Cancer: {Lessons} from {HIV} Therapy. Nature Reviews Cancer 2012, 12.
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@article{lengauer2012d, TITLE = {Managing Drug Resistance in Cancer: {\textbraceleft}Lessons{\textbraceright} from {\textbraceleft}{HIV}{\textbraceright} Therapy}, AUTHOR = {Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1474-175X}, DOI = {10.1038/nrc3297}, LOCALID = {Local-ID: A03DC150927CCEB8C1257AD3004C3714-lengauer2012d}, PUBLISHER = {Nature Pub. Group}, ADDRESS = {New York, NY}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Nature Reviews Cancer}, VOLUME = {12}, NUMBER = {7}, PAGES = {494--501}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Managing Drug Resistance in Cancer: {Lessons} from {HIV} Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C53D-6 %R 10.1038/nrc3297 %F OTHER: Local-ID: A03DC150927CCEB8C1257AD3004C3714-lengauer2012d %D 2012 %J Nature Reviews Cancer %O Nat. Rev. Cancer %V 12 %N 7 %& 494 %P 494 - 501 %I Nature Pub. Group %C New York, NY %@ false
414. Bock C, Lengauer T: Epigenom-Karten erstellen und nutzen. BIOspektrum 2012, 18.
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@article{BockLengauer2012b, TITLE = {{Epigenom-Karten erstellen und nutzen}}, AUTHOR = {Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {deu}, ISSN = {0947-0867}, DOI = {10.1007/s12268-012-0152-5}, PUBLISHER = {Spektrum Akad. Verlag}, ADDRESS = {Heidelberg}, YEAR = {2012}, DATE = {2012}, JOURNAL = {BIOspektrum}, VOLUME = {18}, NUMBER = {2}, PAGES = {138--141}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Epigenom-Karten erstellen und nutzen : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0019-F6D7-6 %R 10.1007/s12268-012-0152-5 %7 2012 %D 2012 %J BIOspektrum %V 18 %N 2 %& 138 %P 138 - 141 %I Spektrum Akad. Verlag %C Heidelberg %@ false
415. Bock C: Analysing and Interpreting DNA Methylation Data. Nature Reviews Genetics 2012, 13.
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@article{Bock2012a, TITLE = {Analysing and Interpreting {DNA} Methylation Data}, AUTHOR = {Bock, Christoph}, LANGUAGE = {eng}, DOI = {10.1038/nrg3273}, LOCALID = {Local-ID: F8E71752F0550117C1257AED00400B82-Bock2012a}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {New York, NY}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Nature Reviews Genetics}, VOLUME = {13}, NUMBER = {10}, PAGES = {705--719}, }
Endnote
%0 Journal Article %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysing and Interpreting DNA Methylation Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB5B-F %R 10.1038/nrg3273 %F OTHER: Local-ID: F8E71752F0550117C1257AED00400B82-Bock2012a %D 2012 %J Nature Reviews Genetics %V 13 %N 10 %& 705 %P 705 - 719 %I Nature Publishing Group %C New York, NY
416. Bogojeska J, Stöckel D, Zazzi M, Kaiser R, Incardona F, Rosen-Zvi M, Lengauer T: History-alignment Models for Bias-aware Prediction of Virological Response to HIV Combination Therapy. In Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012). Journal of Machine Learning Research; 2012. [JMLR Workshop and Conference Proceedings, vol. 22]
Abstract
The relevant HIV data sets used for predicting outcomes of HIV combination therapies suffer from several problems: different treatment backgrounds of the samples, uneven representation with respect to the level of therapy experience and uneven therapy representation. Also, they comprise only viral strain(s) that can be detected in the patients� blood serum. The approach presented in this paper tackles these issues by considering not only the most recent therapies but also the different treatment backgrounds of the samples making up the clinical data sets when predicting the outcomes of HIV therapies. For this purpose, we introduce a similarity measure for sequences of therapies and use it for training separate linear models for predicting therapy outcome for each target sample. Compared to the most commonly used approach that encodes all available treatment information only by specific input features our approach has the advantage of delivering significantly more accurate predictions for therapy-experienced patients and for rare therapies. Additionally, the sample-specific models are more interpretable which is very important in medical applications.
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@inproceedings{Bogojeska2012b, TITLE = {History-alignment Models for Bias-aware Prediction of Virological Response to {HIV} Combination Therapy}, AUTHOR = {Bogojeska, Jasmina and St{\"o}ckel, Daniel and Zazzi, Maurizio and Kaiser, Rolf and Incardona, Francesca and Rosen-Zvi, Michal and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: 124D02AE50A81550C1257AD20046A1AC-Bogojeska2012b}, PUBLISHER = {Journal of Machine Learning Research}, YEAR = {2012}, DATE = {2012-04}, ABSTRACT = {The relevant HIV data sets used for predicting outcomes of HIV combination therapies suffer from several problems: different treatment backgrounds of the samples, uneven representation with respect to the level of therapy experience and uneven therapy representation. Also, they comprise only viral strain(s) that can be detected in the patients{\diamond} blood serum. The approach presented in this paper tackles these issues by considering not only the most recent therapies but also the different treatment backgrounds of the samples making up the clinical data sets when predicting the outcomes of HIV therapies. For this purpose, we introduce a similarity measure for sequences of therapies and use it for training separate linear models for predicting therapy outcome for each target sample. Compared to the most commonly used approach that encodes all available treatment information only by specific input features our approach has the advantage of delivering significantly more accurate predictions for therapy-experienced patients and for rare therapies. Additionally, the sample-specific models are more interpretable which is very important in medical applications.}, BOOKTITLE = {Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012)}, EDITOR = {Lawrence, Neil and Girolami, Mark}, PAGES = {118--126}, SERIES = {JMLR Workshop and Conference Proceedings}, VOLUME = {22}, ADDRESS = {La Palma, Canary Islands, Spain}, }
Endnote
%0 Conference Proceedings %A Bogojeska, Jasmina %A St&#246;ckel, Daniel %A Zazzi, Maurizio %A Kaiser, Rolf %A Incardona, Francesca %A Rosen-Zvi, Michal %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T History-alignment Models for Bias-aware Prediction of Virological Response to HIV Combination Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C576-4 %F OTHER: Local-ID: 124D02AE50A81550C1257AD20046A1AC-Bogojeska2012b %D 2012 %B Fifteenth International Conference on Artificial Intelligence and Statistics %Z date of event: 2012-04-21 - 2012-04-23 %C La Palma, Canary Islands, Spain %X The relevant HIV data sets used for predicting outcomes of HIV combination therapies suffer from several problems: different treatment backgrounds of the samples, uneven representation with respect to the level of therapy experience and uneven therapy representation. Also, they comprise only viral strain(s) that can be detected in the patients&#65533; blood serum. The approach presented in this paper tackles these issues by considering not only the most recent therapies but also the different treatment backgrounds of the samples making up the clinical data sets when predicting the outcomes of HIV therapies. For this purpose, we introduce a similarity measure for sequences of therapies and use it for training separate linear models for predicting therapy outcome for each target sample. Compared to the most commonly used approach that encodes all available treatment information only by specific input features our approach has the advantage of delivering significantly more accurate predictions for therapy-experienced patients and for rare therapies. Additionally, the sample-specific models are more interpretable which is very important in medical applications. %B Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012) %E Lawrence, Neil; Girolami, Mark %P 118 - 126 %I Journal of Machine Learning Research %B JMLR Workshop and Conference Proceedings %N 22
417. Bogojeska J, Lengauer T: Hierarchical Bayes Model for Predicting Effectiveness of HIV Combination Therapies. Statistical Applications in Genetics and Molecular Biology 2012, 11.
Abstract
HIV patients are treated by administration of combinations of antiretroviral drugs. The very large number of such combinations makes the manual search for an effective therapy practically impossible, especially in advanced stages of the disease. Therapy selection can be supported by statistical methods that predict the outcomes of candidate therapies. However, these methods are based on clinical data sets that have highly unbalanced therapy representation.This paper presents a novel approach that considers each drug belonging to a target combination therapy as a separate task in a multi-task hierarchical Bayes setting. The drug-specific models take into account information on all therapies containing the drug, not just the target therapy. In this way, we can circumvent the problem of data sparseness pertaining to some target therapies.The computational validation shows that compared to the most commonly used approach that provides therapy information in the form of input features, our model has significantly higher predictive power for therapies with very few training samples and is at least as powerful for abundant therapies.
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@article{Bogojeska2012a, TITLE = {Hierarchical {Bayes} Model for Predicting Effectiveness of {HIV} Combination Therapies}, AUTHOR = {Bogojeska, Jasmina and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1554-6115}, DOI = {10.1515/1544-6115.1769}, LOCALID = {Local-ID: 7280BD1B9F1F2D6DC1257AD200454050-Bogojeska2012a}, PUBLISHER = {De Gruyter}, ADDRESS = {Boston, MA}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {HIV patients are treated by administration of combinations of antiretroviral drugs. The very large number of such combinations makes the manual search for an effective therapy practically impossible, especially in advanced stages of the disease. Therapy selection can be supported by statistical methods that predict the outcomes of candidate therapies. However, these methods are based on clinical data sets that have highly unbalanced therapy representation.This paper presents a novel approach that considers each drug belonging to a target combination therapy as a separate task in a multi-task hierarchical Bayes setting. The drug-specific models take into account information on all therapies containing the drug, not just the target therapy. In this way, we can circumvent the problem of data sparseness pertaining to some target therapies.The computational validation shows that compared to the most commonly used approach that provides therapy information in the form of input features, our model has significantly higher predictive power for therapies with very few training samples and is at least as powerful for abundant therapies.}, JOURNAL = {Statistical Applications in Genetics and Molecular Biology}, VOLUME = {11}, NUMBER = {3}, PAGES = {1--19}, EID = {11}, }
Endnote
%0 Journal Article %A Bogojeska, Jasmina %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Hierarchical Bayes Model for Predicting Effectiveness of HIV Combination Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C580-C %R 10.1515/1544-6115.1769 %F OTHER: Local-ID: 7280BD1B9F1F2D6DC1257AD200454050-Bogojeska2012a %7 2012-04-27 %D 2012 %X HIV patients are treated by administration of combinations of antiretroviral drugs. The very large number of such combinations makes the manual search for an effective therapy practically impossible, especially in advanced stages of the disease. Therapy selection can be supported by statistical methods that predict the outcomes of candidate therapies. However, these methods are based on clinical data sets that have highly unbalanced therapy representation.This paper presents a novel approach that considers each drug belonging to a target combination therapy as a separate task in a multi-task hierarchical Bayes setting. The drug-specific models take into account information on all therapies containing the drug, not just the target therapy. In this way, we can circumvent the problem of data sparseness pertaining to some target therapies.The computational validation shows that compared to the most commonly used approach that provides therapy information in the form of input features, our model has significantly higher predictive power for therapies with very few training samples and is at least as powerful for abundant therapies. %J Statistical Applications in Genetics and Molecular Biology %V 11 %N 3 %& 1 %P 1 - 19 %Z sequence number: 11 %I De Gruyter %C Boston, MA %@ false
418. Bozek K, Eckhardt M, Sierra S, Kaiser R, Kräusslich H-G, Müller B, Lengauer T: An Expanded Model of HIV Cell Entry Phenotype Based on Multi-Parameter Single-Cell Data. Retrovirology 2012, 9.
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@article{lengauer2012e, TITLE = {An Expanded Model of {HIV} Cell Entry Phenotype Based on Multi-Parameter Single-Cell Data}, AUTHOR = {Bozek, Katarzyna and Eckhardt, Manon and Sierra, Saleta and Kaiser, Rolf and Kr{\"a}usslich, Hans-Georg and M{\"u}ller, Barbara and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1742-4690}, DOI = {10.1186/1742-4690-9-60}, LOCALID = {Local-ID: A43326DD97819D5BC1257AD3004C64D3-lengauer2012e}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2012}, JOURNAL = {Retrovirology}, VOLUME = {9}, NUMBER = {1}, PAGES = {60:1--60:15}, EID = {60}, }
Endnote
%0 Journal Article %A Bozek, Katarzyna %A Eckhardt, Manon %A Sierra, Saleta %A Kaiser, Rolf %A Kr&#228;usslich, Hans-Georg %A M&#252;ller, Barbara %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An Expanded Model of HIV Cell Entry Phenotype Based on Multi-Parameter Single-Cell Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D1E1-2 %R 10.1186/1742-4690-9-60 %F OTHER: Local-ID: A43326DD97819D5BC1257AD3004C64D3-lengauer2012e %7 2012-07-25 %D 2012 %8 25.07.2012 %J Retrovirology %V 9 %N 1 %& 60:1 %P 60:1 - 60:15 %Z sequence number: 60 %I BioMed Central %C London %@ false %U http://www.retrovirology.com/content/9/1/60
419. Calvanese V, Fernandez AF, Urdinguio RG, Suarez-Álvarez B, Mangas C, Pérez-García V, Bueno C, Montes R, Ramos-Mejía V, Martínez-Camblor P, Ferrero C, Assenov Y, Bock C, Menendez P, Carrera AC, Lopez-Larrea C, Fraga MF: A Promoter DNA Demethylation Landscape of Human Hematopoietic Differentiation. Nucleic Acids Research 2012, 40.
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@article{Calvanese2012, TITLE = {A Promoter {DNA} Demethylation Landscape of Human Hematopoietic Differentiation}, AUTHOR = {Calvanese, Vincenzo and Fernandez, Agust{\'i}n F. and Urdinguio, Roc{\'i}o G. and Suarez-{\'A}lvarez, Beatriz and Mangas, Cristina and P{\'e}rez-Garc{\'i}a, Vicente and Bueno, Clara and Montes, Rosa and Ramos-Mej{\'i}a, Ver{\'o}nica and Mart{\'i}nez-Camblor, Pablo and Ferrero, Cecilia and Assenov, Yassen and Bock, Christoph and Menendez, Pablo and Carrera, Ana Clara and Lopez-Larrea, Carlos and Fraga, Mario F.}, LANGUAGE = {eng}, DOI = {10.1093/nar/gkr685}, LOCALID = {Local-ID: 64F8D3538B0D036BC1257B02002FCC96-Calvanese2012}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Nucleic Acids Research}, VOLUME = {40}, NUMBER = {1}, PAGES = {116--131}, }
Endnote
%0 Journal Article %A Calvanese, Vincenzo %A Fernandez, Agust&#237;n F. %A Urdinguio, Roc&#237;o G. %A Suarez-&#193;lvarez, Beatriz %A Mangas, Cristina %A P&#233;rez-Garc&#237;a, Vicente %A Bueno, Clara %A Montes, Rosa %A Ramos-Mej&#237;a, Ver&#243;nica %A Mart&#237;nez-Camblor, Pablo %A Ferrero, Cecilia %A Assenov, Yassen %A Bock, Christoph %A Menendez, Pablo %A Carrera, Ana Clara %A Lopez-Larrea, Carlos %A Fraga, Mario F. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T A Promoter DNA Demethylation Landscape of Human Hematopoietic Differentiation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BAF8-8 %R 10.1093/nar/gkr685 %F OTHER: Local-ID: 64F8D3538B0D036BC1257B02002FCC96-Calvanese2012 %7 2011-09-12 %D 2012 %J Nucleic Acids Research %V 40 %N 1 %& 116 %P 116 - 131 %I Oxford University Press %C Oxford
420. Dietzen M, Zotenko E, Hildebrandt A, Lengauer T: On the Applicability of Elastic Network Normal Modes in Small-molecule Docking. Journal of Chemical Information and Modeling 2012, 52.
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@article{Dietzen2012, TITLE = {On the Applicability of Elastic Network Normal Modes in Small-molecule Docking}, AUTHOR = {Dietzen, Matthias and Zotenko, Elena and Hildebrandt, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci2004847}, LOCALID = {Local-ID: D958D8BAFF9537BAC1257AD3004D42CE-Dietzen2012}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {52}, NUMBER = {3}, PAGES = {844--856}, }
Endnote
%0 Journal Article %A Dietzen, Matthias %A Zotenko, Elena %A Hildebrandt, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Applicability of Elastic Network Normal Modes in Small-molecule Docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D1D0-8 %R 10.1021/ci2004847 %F OTHER: Local-ID: D958D8BAFF9537BAC1257AD3004D42CE-Dietzen2012 %7 2012-02-10 %D 2012 %J Journal of Chemical Information and Modeling %V 52 %N 3 %& 844 %P 844 - 856 %I American Chemical Society %C Washington, D.C. %@ false
421. Doncheva NT, Kacprowski T, Albrecht M: Recent Approaches to the Prioritization of Candidate Disease Genes. WIREs Systems Biology and Medicine 2012, 4.
Abstract
Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in particular, diseases. High-throughput techniques are thus applied frequently to detect dozens or even hundreds of candidate genes. However, the experimental validation of many candidates is often an expensive and time-consuming task. Therefore, a great variety of computational approaches has been developed to support the identification of the most promising candidates for follow-up studies. The biomedical knowledge already available about the disease of interest and related genes is commonly exploited to find new gene�disease associations and to prioritize candidates. In this review, we highlight recent methodological advances in this research field of candidate gene prioritization. We focus on approaches that use network information and integrate heterogeneous data sources. Furthermore, we discuss current benchmarking procedures for evaluating and comparing different prioritization methods.
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@article{Albrecht2012c, TITLE = {Recent Approaches to the Prioritization of Candidate Disease Genes}, AUTHOR = {Doncheva, Nadezhda Tsankova and Kacprowski, Tim and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1939-005X}, DOI = {10.1002/wsbm.1177}, LOCALID = {Local-ID: 76A8D4EB252E1DA8C1257AD8005C43C5-Albrecht2012c}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2012}, ABSTRACT = {Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in particular, diseases. High-throughput techniques are thus applied frequently to detect dozens or even hundreds of candidate genes. However, the experimental validation of many candidates is often an expensive and time-consuming task. Therefore, a great variety of computational approaches has been developed to support the identification of the most promising candidates for follow-up studies. The biomedical knowledge already available about the disease of interest and related genes is commonly exploited to find new gene{\diamond}disease associations and to prioritize candidates. In this review, we highlight recent methodological advances in this research field of candidate gene prioritization. We focus on approaches that use network information and integrate heterogeneous data sources. Furthermore, we discuss current benchmarking procedures for evaluating and comparing different prioritization methods.}, JOURNAL = {WIREs Systems Biology and Medicine}, VOLUME = {4}, NUMBER = {5}, PAGES = {429--442}, }
Endnote
%0 Journal Article %A Doncheva, Nadezhda Tsankova %A Kacprowski, Tim %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Recent Approaches to the Prioritization of Candidate Disease Genes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C52B-C %R 10.1002/wsbm.1177 %F OTHER: Local-ID: 76A8D4EB252E1DA8C1257AD8005C43C5-Albrecht2012c %7 2012-06-11 %D 2012 %8 11.06.2012 %X Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in particular, diseases. High-throughput techniques are thus applied frequently to detect dozens or even hundreds of candidate genes. However, the experimental validation of many candidates is often an expensive and time-consuming task. Therefore, a great variety of computational approaches has been developed to support the identification of the most promising candidates for follow-up studies. The biomedical knowledge already available about the disease of interest and related genes is commonly exploited to find new gene&#65533;disease associations and to prioritize candidates. In this review, we highlight recent methodological advances in this research field of candidate gene prioritization. We focus on approaches that use network information and integrate heterogeneous data sources. Furthermore, we discuss current benchmarking procedures for evaluating and comparing different prioritization methods. %J WIREs Systems Biology and Medicine %O Wiley Interdiscip Rev Syst Biol Med Wiley Interdisciplinary Reviews: Systems Biology and Medicine %V 4 %N 5 %& 429 %P 429 - 442 %I Wiley %C Chichester %@ false
422. Doncheva NT, Assenov Y, Domingues FS, Albrecht M: Topological Analysis and Interactive Visualization of Biological Networks and Protein Structures. Nature Protocols 2012, 7.
Abstract
Computational analysis and interactive visualization of biological networks and protein structures are common tasks for gaining insight into biological processes. This protocol describes three workflows based on the NetworkAnalyzer and RINalyzer plug-ins for Cytoscape, a popular software platform for networks. NetworkAnalyzer has become a standard Cytoscape tool for comprehensive network topology analysis. In addition, RINalyzer provides methods for exploring residue interaction networks derived from protein structures. The first workflow uses NetworkAnalyzer to perform a topological analysis of biological networks. The second workflow applies RINalyzer to study protein structure and function and to compute network centrality measures. The third workflow combines NetworkAnalyzer and RINalyzer to compare residue networks. The full protocol can be completed in approximately 2 h.
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@article{Albrecht2012a, TITLE = {Topological Analysis and Interactive Visualization of Biological Networks and Protein Structures}, AUTHOR = {Doncheva, Nadezhda Tsankova and Assenov, Yassen and Domingues, Francisco S. and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1750-2799; 1754-2189}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22422314}, DOI = {10.1038/nprot.2012.004}, LOCALID = {Local-ID: 60C74A3540567C51C1257AD4005BE1AA-Albrecht2012a}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {Basingstoke}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Computational analysis and interactive visualization of biological networks and protein structures are common tasks for gaining insight into biological processes. This protocol describes three workflows based on the NetworkAnalyzer and RINalyzer plug-ins for Cytoscape, a popular software platform for networks. NetworkAnalyzer has become a standard Cytoscape tool for comprehensive network topology analysis. In addition, RINalyzer provides methods for exploring residue interaction networks derived from protein structures. The first workflow uses NetworkAnalyzer to perform a topological analysis of biological networks. The second workflow applies RINalyzer to study protein structure and function and to compute network centrality measures. The third workflow combines NetworkAnalyzer and RINalyzer to compare residue networks. The full protocol can be completed in approximately 2 h.}, JOURNAL = {Nature Protocols}, VOLUME = {7}, NUMBER = {4}, PAGES = {670--685}, }
Endnote
%0 Journal Article %A Doncheva, Nadezhda Tsankova %A Assenov, Yassen %A Domingues, Francisco S. %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Topological Analysis and Interactive Visualization of Biological Networks and Protein Structures : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C9C0-B %R 10.1038/nprot.2012.004 %U http://www.ncbi.nlm.nih.gov/pubmed/22422314 %F OTHER: Local-ID: 60C74A3540567C51C1257AD4005BE1AA-Albrecht2012a %7 2012-03-15 %D 2012 %X Computational analysis and interactive visualization of biological networks and protein structures are common tasks for gaining insight into biological processes. This protocol describes three workflows based on the NetworkAnalyzer and RINalyzer plug-ins for Cytoscape, a popular software platform for networks. NetworkAnalyzer has become a standard Cytoscape tool for comprehensive network topology analysis. In addition, RINalyzer provides methods for exploring residue interaction networks derived from protein structures. The first workflow uses NetworkAnalyzer to perform a topological analysis of biological networks. The second workflow applies RINalyzer to study protein structure and function and to compute network centrality measures. The third workflow combines NetworkAnalyzer and RINalyzer to compare residue networks. The full protocol can be completed in approximately 2 h. %K Models, Biological Protein Interaction Mapping/*methods Protein Interaction Maps Protein Structure, Tertiary Proteins/*chemistry *Software %J Nature Protocols %O Nat. Protoc. %V 7 %N 4 %& 670 %P 670 - 685 %I Nature Publishing Group %C Basingstoke %@ false
423. Eldarov N: Modeling Influenza Evolution in Response to Immune System Pressure. Universität des Saarlandes; 2012.
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@mastersthesis{EldarovMaster2012, TITLE = {Modeling Influenza Evolution in Response to Immune System Pressure}, AUTHOR = {Eldarov, Nasimi}, LANGUAGE = {eng}, LOCALID = {Local-ID: 9D5BA49656C17925C1257B270052B225-EldarovMaster2012}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Eldarov, Nasimi %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Modeling Influenza Evolution in Response to Immune System Pressure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BA51-B %F OTHER: Local-ID: 9D5BA49656C17925C1257B270052B225-EldarovMaster2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %P IX, 78 p. %V master %9 master
424. Emig D, Blankenburg H, Ramírez F, Albrecht M: Functional Characterization of Human Genes from Exon Expression and RNA Interference Results. In Bioinformatics and Drug Discovery. New York, NY: Humana Press; 2012. [Methods in Molecular Biology, vol. 910]
Abstract
Complex biological systems comprise a large number of interacting molecules. The identification and detailed characterization of the functions of the involved genes and proteins are crucial for modeling and understanding such systems. To interrogate the various cellular processes, high-throughput techniques such as the Affymetrix Exon Array or RNA interference (RNAi) screens are powerful experimental approaches for functional genomics. However, they typically yield long gene lists that require computational methods to further analyze and functionally annotate the experimental results and to gain more insight into important molecular interactions. Here, we focus on bioinformatics software tools for the functional interpretation of exon expression data to discover alternative splicing events and their impact on gene and protein architecture, molecular networks, and pathways. We additionally demonstrate how to explore large lists of candidate genes as they also result from RNAi screens. In particular, our exemplary application studies show how to analyze the function of human genes that play a major role in human stem cells or viral infections.
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@incollection{Albrecht2012f, TITLE = {Functional Characterization of Human Genes from Exon Expression and {RNA} Interference Results}, AUTHOR = {Emig, Dorothea and Blankenburg, Hagen and Ram{\'i}rez, Fidel and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1064-3745; 1940-6029}, ISBN = {978-1-61779-964-8; 978-1-61779-965-5}, DOI = {10.1007/978-1-61779-965-5_3}, LOCALID = {Local-ID: 9FC57E3E169AAD3CC1257AD9003CFBCA-Albrecht2012f}, PUBLISHER = {Humana Press}, ADDRESS = {New York, NY}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Complex biological systems comprise a large number of interacting molecules. The identification and detailed characterization of the functions of the involved genes and proteins are crucial for modeling and understanding such systems. To interrogate the various cellular processes, high-throughput techniques such as the Affymetrix Exon Array or RNA interference (RNAi) screens are powerful experimental approaches for functional genomics. However, they typically yield long gene lists that require computational methods to further analyze and functionally annotate the experimental results and to gain more insight into important molecular interactions. Here, we focus on bioinformatics software tools for the functional interpretation of exon expression data to discover alternative splicing events and their impact on gene and protein architecture, molecular networks, and pathways. We additionally demonstrate how to explore large lists of candidate genes as they also result from RNAi screens. In particular, our exemplary application studies show how to analyze the function of human genes that play a major role in human stem cells or viral infections.}, BOOKTITLE = {Bioinformatics and Drug Discovery}, EDITOR = {Larson, Richard S.}, PAGES = {33--53}, SERIES = {Methods in Molecular Biology}, VOLUME = {910}, }
Endnote
%0 Book Section %A Emig, Dorothea %A Blankenburg, Hagen %A Ram&#237;rez, Fidel %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Functional Characterization of Human Genes from Exon Expression and RNA Interference Results : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C529-0 %R 10.1007/978-1-61779-965-5_3 %F OTHER: Local-ID: 9FC57E3E169AAD3CC1257AD9003CFBCA-Albrecht2012f %D 2012 %X Complex biological systems comprise a large number of interacting molecules. The identification and detailed characterization of the functions of the involved genes and proteins are crucial for modeling and understanding such systems. To interrogate the various cellular processes, high-throughput techniques such as the Affymetrix Exon Array or RNA interference (RNAi) screens are powerful experimental approaches for functional genomics. However, they typically yield long gene lists that require computational methods to further analyze and functionally annotate the experimental results and to gain more insight into important molecular interactions. Here, we focus on bioinformatics software tools for the functional interpretation of exon expression data to discover alternative splicing events and their impact on gene and protein architecture, molecular networks, and pathways. We additionally demonstrate how to explore large lists of candidate genes as they also result from RNAi screens. In particular, our exemplary application studies show how to analyze the function of human genes that play a major role in human stem cells or viral infections. %B Bioinformatics and Drug Discovery %E Larson, Richard S. %P 33 - 53 %I Humana Press %C New York, NY %@ 978-1-61779-964-8 978-1-61779-965-5 %S Methods in Molecular Biology %N 910 %@ false
425. Faria D, Schlicker A, Pesquita C, Bastos H, Ferreira AEN, Albrecht M, Falcao AO: Mining GO Annotations for Improving Annotation Consistency. PLoS One 2012, 7.
Abstract
Despite the structure and objectivity provided by the Gene Ontology (GO), the annotation of proteins is a complex task that is subject to errors and inconsistencies. Electronically inferred annotations in particular are widely considered unreliable. However, given that manual curation of all GO annotations is unfeasible, it is imperative to improve the quality of electronically inferred annotations. In this work, we analyze the full GO molecular function annotation of UniProtKB proteins, and discuss some of the issues that affect their quality, focusing particularly on the lack of annotation consistency. Based on our analysis, we estimate that 64% of the UniProtKB proteins are incompletely annotated, and that inconsistent annotations affect 83% of the protein functions and at least 23% of the proteins. Additionally, we present and evaluate a data mining algorithm, based on the association rule learning methodology, for identifying implicit relationships between molecular function terms. The goal of this algorithm is to assist GO curators in updating GO and correcting and preventing inconsistent annotations. Our algorithm predicted 501 relationships with an estimated precision of 94%, whereas the basic association rule learning methodology predicted 12,352 relationships with a precision below 9%.
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@article{Albrecht2012d, TITLE = {Mining {GO} Annotations for Improving Annotation Consistency}, AUTHOR = {Faria, Daniel and Schlicker, Andreas and Pesquita, Catia and Bastos, Hugo and Ferreira, Ant{\'o}nio E. N. and Albrecht, Mario and Falcao, Andr{\'e} O.}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22848383}, DOI = {10.1371/journal.pone.0040519}, LOCALID = {Local-ID: 41B05E900499D8FAC1257AD900397AD0-Albrecht2012d}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2012}, ABSTRACT = {Despite the structure and objectivity provided by the Gene Ontology (GO), the annotation of proteins is a complex task that is subject to errors and inconsistencies. Electronically inferred annotations in particular are widely considered unreliable. However, given that manual curation of all GO annotations is unfeasible, it is imperative to improve the quality of electronically inferred annotations. In this work, we analyze the full GO molecular function annotation of UniProtKB proteins, and discuss some of the issues that affect their quality, focusing particularly on the lack of annotation consistency. Based on our analysis, we estimate that 64% of the UniProtKB proteins are incompletely annotated, and that inconsistent annotations affect 83% of the protein functions and at least 23% of the proteins. Additionally, we present and evaluate a data mining algorithm, based on the association rule learning methodology, for identifying implicit relationships between molecular function terms. The goal of this algorithm is to assist GO curators in updating GO and correcting and preventing inconsistent annotations. Our algorithm predicted 501 relationships with an estimated precision of 94%, whereas the basic association rule learning methodology predicted 12,352 relationships with a precision below 9%.}, JOURNAL = {PLoS One}, VOLUME = {7}, NUMBER = {7}, PAGES = {,1--7}, EID = {e40519}, }
Endnote
%0 Journal Article %A Faria, Daniel %A Schlicker, Andreas %A Pesquita, Catia %A Bastos, Hugo %A Ferreira, Ant&#243;nio E. N. %A Albrecht, Mario %A Falcao, Andr&#233; O. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Mining GO Annotations for Improving Annotation Consistency : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C9B0-F %2 PMC3405096 %R 10.1371/journal.pone.0040519 %U http://www.ncbi.nlm.nih.gov/pubmed/22848383 %F OTHER: Local-ID: 41B05E900499D8FAC1257AD900397AD0-Albrecht2012d %7 2012-07-25 %D 2012 %8 25.07.2012 %X Despite the structure and objectivity provided by the Gene Ontology (GO), the annotation of proteins is a complex task that is subject to errors and inconsistencies. Electronically inferred annotations in particular are widely considered unreliable. However, given that manual curation of all GO annotations is unfeasible, it is imperative to improve the quality of electronically inferred annotations. In this work, we analyze the full GO molecular function annotation of UniProtKB proteins, and discuss some of the issues that affect their quality, focusing particularly on the lack of annotation consistency. Based on our analysis, we estimate that 64% of the UniProtKB proteins are incompletely annotated, and that inconsistent annotations affect 83% of the protein functions and at least 23% of the proteins. Additionally, we present and evaluate a data mining algorithm, based on the association rule learning methodology, for identifying implicit relationships between molecular function terms. The goal of this algorithm is to assist GO curators in updating GO and correcting and preventing inconsistent annotations. Our algorithm predicted 501 relationships with an estimated precision of 94%, whereas the basic association rule learning methodology predicted 12,352 relationships with a precision below 9%. %K *Databases, Protein Molecular Sequence Annotation/*methods Sequence Analysis, Protein/*methods *Software %J PLoS One %V 7 %N 7 %& ,1 %P ,1 - 7 %Z sequence number: e40519 %I Public Library of Science %C San Francisco, CA %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3405096/
426. Fernandez AF, Assenov Y, Martin-Subero JI, Balint B, Siebert R, Taniguchi H, Yamamoto H, Hidalgo M, Tan A-C, Galm O, Ferrer I, Sanchez-Cespedes M, Villanueva A, Carmona J, Sanchez-Mut JV, Berdasco M, Moreno V, Capella G, Monk D, Ballestar E, Ropero S, Martinez R, Sanchez-Carbayo M, Prosper F, Agirre X, Fraga MF, Grana O, Perez-Jurado L, Mora J, Puig S, et al.: A DNA Methylation Fingerprint of 1628 Human Samples. Genome Research 2012, 22.
Abstract
Most of the studies characterizing DNA methylation patterns have been restricted to particular genomic loci in a limited number of human samples and pathological conditions. Herein, we present a compromise between an extremely comprehensive study of a human sample population with an intermediate level of resolution of CpGs at the genomic level. We obtained a DNA methylation fingerprint of 1628 human samples in which we interrogated 1505 CpG sites. The DNA methylation patterns revealed show this epigenetic mark to be critical in tissue-type definition and stemness, particularly around transcription start sites that are not within a CpG island. For disease, the generated DNA methylation fingerprints show that, during tumorigenesis, human cancer cells underwent a progressive gain of promoter CpG-island hypermethylation and a loss of CpG methylation in non-CpG-island promoters. Although transformed cells are those in which DNA methylation disruption is more obvious, we observed that other common human diseases, such as neurological and autoimmune disorders, had their own distinct DNA methylation profiles. Most importantly, we provide proof of principle that the DNA methylation fingerprints obtained might be useful for translational purposes by showing that we are able to identify the tumor type origin of cancers of unknown primary origin (CUPs). Thus, the DNA methylation patterns identified across the largest spectrum of samples, tissues, and diseases reported to date constitute a baseline for developing higher-resolution DNA methylation maps and provide important clues concerning the contribution of CpG methylation to tissue identity and its changes in the most prevalent human diseases.
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BibTeX
@article{AssenovGenomeRes2011, TITLE = {A {DNA} Methylation Fingerprint of 1628 Human Samples}, AUTHOR = {Fernandez, Augustin F. and Assenov, Yassen and Martin-Subero, Jose Ignacio and Balint, Balazs and Siebert, Reiner and Taniguchi, Hiroaki and Yamamoto, Hiroyuki and Hidalgo, Manuel and Tan, Aik-Choon and Galm, Oliver and Ferrer, Isidre and Sanchez-Cespedes, Montse and Villanueva, Alberto and Carmona, Javier and Sanchez-Mut, Jose V. and Berdasco, Maria and Moreno, Victor and Capella, Gabriel and Monk, David and Ballestar, Esteban and Ropero, Santiago and Martinez, Ramon and Sanchez-Carbayo, Marta and Prosper, Felipe and Agirre, Xabier and Fraga, Mario F. and Grana, Osvaldo and Perez-Jurado, Luis and Mora, Jaume and Puig, Susana and Prat, Jaime and Badimon, Lina and Puca, Annibale A. and Meltzer, Stephen J. and Lengauer, Thomas and Bridgewater, John and Bock, Christoph and Esteller, Manel}, LANGUAGE = {eng}, ISSN = {1088-9051}, DOI = {10.1101/gr.119867.110}, LOCALID = {Local-ID: 1D85A05983450545C125798F003F831C-AssenovGenomeRes2011}, PUBLISHER = {Cold Spring Harbor Laboratory Press}, ADDRESS = {Cold Spring Harbor, N.Y.}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Most of the studies characterizing DNA methylation patterns have been restricted to particular genomic loci in a limited number of human samples and pathological conditions. Herein, we present a compromise between an extremely comprehensive study of a human sample population with an intermediate level of resolution of CpGs at the genomic level. We obtained a DNA methylation fingerprint of 1628 human samples in which we interrogated 1505 CpG sites. The DNA methylation patterns revealed show this epigenetic mark to be critical in tissue-type definition and stemness, particularly around transcription start sites that are not within a CpG island. For disease, the generated DNA methylation fingerprints show that, during tumorigenesis, human cancer cells underwent a progressive gain of promoter CpG-island hypermethylation and a loss of CpG methylation in non-CpG-island promoters. Although transformed cells are those in which DNA methylation disruption is more obvious, we observed that other common human diseases, such as neurological and autoimmune disorders, had their own distinct DNA methylation profiles. Most importantly, we provide proof of principle that the DNA methylation fingerprints obtained might be useful for translational purposes by showing that we are able to identify the tumor type origin of cancers of unknown primary origin (CUPs). Thus, the DNA methylation patterns identified across the largest spectrum of samples, tissues, and diseases reported to date constitute a baseline for developing higher-resolution DNA methylation maps and provide important clues concerning the contribution of CpG methylation to tissue identity and its changes in the most prevalent human diseases.}, JOURNAL = {Genome Research}, VOLUME = {22}, NUMBER = {2}, PAGES = {407--419}, }
Endnote
%0 Journal Article %A Fernandez, Augustin F. %A Assenov, Yassen %A Martin-Subero, Jose Ignacio %A Balint, Balazs %A Siebert, Reiner %A Taniguchi, Hiroaki %A Yamamoto, Hiroyuki %A Hidalgo, Manuel %A Tan, Aik-Choon %A Galm, Oliver %A Ferrer, Isidre %A Sanchez-Cespedes, Montse %A Villanueva, Alberto %A Carmona, Javier %A Sanchez-Mut, Jose V. %A Berdasco, Maria %A Moreno, Victor %A Capella, Gabriel %A Monk, David %A Ballestar, Esteban %A Ropero, Santiago %A Martinez, Ramon %A Sanchez-Carbayo, Marta %A Prosper, Felipe %A Agirre, Xabier %A Fraga, Mario F. %A Grana, Osvaldo %A Perez-Jurado, Luis %A Mora, Jaume %A Puig, Susana %A Prat, Jaime %A Badimon, Lina %A Puca, Annibale A. %A Meltzer, Stephen J. %A Lengauer, Thomas %A Bridgewater, John %A Bock, Christoph %A Esteller, Manel %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T A DNA Methylation Fingerprint of 1628 Human Samples : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C9A2-D %2 PMC3266047 %R 10.1101/gr.119867.110 %F OTHER: Local-ID: 1D85A05983450545C125798F003F831C-AssenovGenomeRes2011 %7 2011-05-25 %D 2012 %X Most of the studies characterizing DNA methylation patterns have been restricted to particular genomic loci in a limited number of human samples and pathological conditions. Herein, we present a compromise between an extremely comprehensive study of a human sample population with an intermediate level of resolution of CpGs at the genomic level. We obtained a DNA methylation fingerprint of 1628 human samples in which we interrogated 1505 CpG sites. The DNA methylation patterns revealed show this epigenetic mark to be critical in tissue-type definition and stemness, particularly around transcription start sites that are not within a CpG island. For disease, the generated DNA methylation fingerprints show that, during tumorigenesis, human cancer cells underwent a progressive gain of promoter CpG-island hypermethylation and a loss of CpG methylation in non-CpG-island promoters. Although transformed cells are those in which DNA methylation disruption is more obvious, we observed that other common human diseases, such as neurological and autoimmune disorders, had their own distinct DNA methylation profiles. Most importantly, we provide proof of principle that the DNA methylation fingerprints obtained might be useful for translational purposes by showing that we are able to identify the tumor type origin of cancers of unknown primary origin (CUPs). Thus, the DNA methylation patterns identified across the largest spectrum of samples, tissues, and diseases reported to date constitute a baseline for developing higher-resolution DNA methylation maps and provide important clues concerning the contribution of CpG methylation to tissue identity and its changes in the most prevalent human diseases. %K Cell Line Cell Transformation, Neoplastic/genetics Cluster Analysis CpG Islands *DNA Methylation Epigenomics/methods Gene Expression Profiling Gene Expression Regulation Humans Neoplasms/genetics %J Genome Research %V 22 %N 2 %& 407 %P 407 - 419 %I Cold Spring Harbor Laboratory Press %C Cold Spring Harbor, N.Y. %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266047/
427. Feuerbach L, Halachev K, Assenov Y, Müller F, Bock C, Lengauer T: Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases. In Evolutionary Genomics. Volume 2. Totowa, NJ: Humana Press; 2012. [Methods in Molecular Biology]
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@incollection{lengauer2012b, TITLE = {Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases}, AUTHOR = {Feuerbach, Lars and Halachev, Konstantin and Assenov, Yassen and M{\"u}ller, Fabian and Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {978-1-61779-584-8; 978-1-61779-585-5}, DOI = {10.1007/978-1-61779-585-5_18}, LOCALID = {Local-ID: 54748B8D02398C66C1257AD300336A25-lengauer2012b}, PUBLISHER = {Humana Press}, ADDRESS = {Totowa, NJ}, YEAR = {2012}, DATE = {2012}, BOOKTITLE = {Evolutionary Genomics}, EDITOR = {Anisimova, Maria}, VOLUME = {2}, PAGES = {431--467}, EID = {18}, SERIES = {Methods in Molecular Biology}, VOLUME = {856}, }
Endnote
%0 Book Section %A Feuerbach, Lars %A Halachev, Konstantin %A Assenov, Yassen %A M&#252;ller, Fabian %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C548-C %R 10.1007/978-1-61779-585-5_18 %F OTHER: Local-ID: 54748B8D02398C66C1257AD300336A25-lengauer2012b %D 2012 %B Evolutionary Genomics %E Anisimova, Maria %V 2 %P 431 - 467 %& 18 %I Humana Press %C Totowa, NJ %@ 978-1-61779-584-8 978-1-61779-585-5 %S Methods in Molecular Biology %N 856
428. Garai A, Zeke A, Gógl G, Töro I, Fördos F, Blankenburg H, Bárkai T, Varga J, Alexa A, Emig D, Albrecht M, Reményi A: Specificity of Linear Motifs that Bind to a Common Mitogen-activated Protein Kinase Docking Groove. Science Signaling 2012, 5.
Abstract
Mitogen-activated protein kinases (MAPKs) have a docking groove that interacts with linear "docking" motifs in binding partners. To determine the structural basis of binding specificity between MAPKs and docking motifs, we quantitatively analyzed the ability of 15 docking motifs from diverse MAPK partners to bind to c-Jun amino-terminal kinase 1 (JNK1), p38α, and extracellular signal�regulated kinase 2 (ERK2). Classical docking motifs mediated highly specific binding only to JNK1, and only those motifs with a sequence pattern distinct from the classical MAPK binding docking motif consensus differentiated between the topographically similar docking grooves of ERK and p38α. Crystal structures of four complexes of MAPKs with docking peptides, representing JNK-specific, ERK-specific, or ERK- and p38-selective binding modes, revealed that the regions located between consensus positions in the docking motifs showed conformational diversity. Although the consensus positions in the docking motifs served as anchor points that bound to common MAPK surface features and mostly contributed to docking in a nondiscriminatory fashion, the conformation of the intervening region between the anchor points mostly determined specificity. We designed peptides with tailored MAPK binding profiles by rationally changing the length and amino acid composition of intervening regions located between anchor points. These results suggest a coherent structural model for MAPK docking specificity that reveals how short linear motifs binding to a common kinase docking groove can mediate diverse interaction patterns and contribute to correct MAPK partner selection in signaling networks.
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@article{Albrecht2012e, TITLE = {Specificity of Linear Motifs that Bind to a Common Mitogen-activated Protein Kinase Docking Groove}, AUTHOR = {Garai, Agnes and Zeke, Andr{\'a}s and G{\'o}gl, Gergo and T{\"o}ro, Imre and F{\"o}rdos, Ferenc and Blankenburg, Hagen and B{\'a}rkai, T{\"u}nde and Varga, J{\'a}nos and Alexa, Anita and Emig, Dorothea and Albrecht, Mario and Rem{\'e}nyi, Attila}, LANGUAGE = {eng}, ISSN = {1937-9145}, DOI = {10.1126/scisignal.2003004}, PUBLISHER = {AAAS}, ADDRESS = {Washington, DC}, YEAR = {2012}, ABSTRACT = {Mitogen-activated protein kinases (MAPKs) have a docking groove that interacts with linear "docking" motifs in binding partners. To determine the structural basis of binding specificity between MAPKs and docking motifs, we quantitatively analyzed the ability of 15 docking motifs from diverse MAPK partners to bind to c-Jun amino-terminal kinase 1 (JNK1), p38$\alpha$, and extracellular signal{\diamond}regulated kinase 2 (ERK2). Classical docking motifs mediated highly specific binding only to JNK1, and only those motifs with a sequence pattern distinct from the classical MAPK binding docking motif consensus differentiated between the topographically similar docking grooves of ERK and p38$\alpha$. Crystal structures of four complexes of MAPKs with docking peptides, representing JNK-specific, ERK-specific, or ERK- and p38-selective binding modes, revealed that the regions located between consensus positions in the docking motifs showed conformational diversity. Although the consensus positions in the docking motifs served as anchor points that bound to common MAPK surface features and mostly contributed to docking in a nondiscriminatory fashion, the conformation of the intervening region between the anchor points mostly determined specificity. We designed peptides with tailored MAPK binding profiles by rationally changing the length and amino acid composition of intervening regions located between anchor points. These results suggest a coherent structural model for MAPK docking specificity that reveals how short linear motifs binding to a common kinase docking groove can mediate diverse interaction patterns and contribute to correct MAPK partner selection in signaling networks.}, JOURNAL = {Science Signaling}, VOLUME = {5}, NUMBER = {245}, PAGES = {ra74,1--ra74,14}, }
Endnote
%0 Journal Article %A Garai, Agnes %A Zeke, Andr&#225;s %A G&#243;gl, Gergo %A T&#246;ro, Imre %A F&#246;rdos, Ferenc %A Blankenburg, Hagen %A B&#225;rkai, T&#252;nde %A Varga, J&#225;nos %A Alexa, Anita %A Emig, Dorothea %A Albrecht, Mario %A Rem&#233;nyi, Attila %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Specificity of Linear Motifs that Bind to a Common Mitogen-activated Protein Kinase Docking Groove : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F693-B %R 10.1126/scisignal.2003004 %7 2012-10-09 %D 2012 %8 09.10.2012 %X Mitogen-activated protein kinases (MAPKs) have a docking groove that interacts with linear "docking" motifs in binding partners. To determine the structural basis of binding specificity between MAPKs and docking motifs, we quantitatively analyzed the ability of 15 docking motifs from diverse MAPK partners to bind to c-Jun amino-terminal kinase 1 (JNK1), p38&#945;, and extracellular signal&#65533;regulated kinase 2 (ERK2). Classical docking motifs mediated highly specific binding only to JNK1, and only those motifs with a sequence pattern distinct from the classical MAPK binding docking motif consensus differentiated between the topographically similar docking grooves of ERK and p38&#945;. Crystal structures of four complexes of MAPKs with docking peptides, representing JNK-specific, ERK-specific, or ERK- and p38-selective binding modes, revealed that the regions located between consensus positions in the docking motifs showed conformational diversity. Although the consensus positions in the docking motifs served as anchor points that bound to common MAPK surface features and mostly contributed to docking in a nondiscriminatory fashion, the conformation of the intervening region between the anchor points mostly determined specificity. We designed peptides with tailored MAPK binding profiles by rationally changing the length and amino acid composition of intervening regions located between anchor points. These results suggest a coherent structural model for MAPK docking specificity that reveals how short linear motifs binding to a common kinase docking groove can mediate diverse interaction patterns and contribute to correct MAPK partner selection in signaling networks. %J Science Signaling %V 5 %N 245 %& ra74,1 %P ra74,1 - ra74,14 %I AAAS %C Washington, DC %@ false
429. Halachev K, Bast H, Albrecht F, Lengauer T, Bock C: EpiExplorer: Live Exploration and Global Analysis of Large Epigenomic Datasets. Genome Biology 2012, 13.
Abstract
ABSTRACT: Epigenome mapping consortia are generating resources of tremendous value for studying epigenetic regulation. To maximize their utility and impact, new tools are needed that facilitate interactive analysis of epigenome datasets. Here we describe EpiExplorer, a web tool for exploring genome and epigenome data on a genomic scale. We demonstrate EpiExplorer's utility by describing a hypothesis-generating analysis of DNA hydroxymethylation in relation to public reference maps of the human epigenome. All EpiExplorer analyses are performed dynamically within seconds, using an efficient and versatile text indexing scheme that we introduce to bioinformatics. EpiExplorer is available at http://epiexplorer.mpi-inf.mpg.de.
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@article{BockLengauer2012a, TITLE = {{EpiExplorer}: {Live} Exploration and Global Analysis of Large Epigenomic Datasets}, AUTHOR = {Halachev, Konstantin and Bast, Hannah and Albrecht, Felipe and Lengauer, Thomas and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1465-6906}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/23034089}, DOI = {10.1186/gb-2012-13-10-r96}, LOCALID = {Local-ID: 15A6C3BF892187C2C1257AED003FCD73-BockLengauer2012a}, PUBLISHER = {BioMed Central Ltd.}, ADDRESS = {London}, YEAR = {2012}, ABSTRACT = {ABSTRACT: Epigenome mapping consortia are generating resources of tremendous value for studying epigenetic regulation. To maximize their utility and impact, new tools are needed that facilitate interactive analysis of epigenome datasets. Here we describe EpiExplorer, a web tool for exploring genome and epigenome data on a genomic scale. We demonstrate EpiExplorer's utility by describing a hypothesis-generating analysis of DNA hydroxymethylation in relation to public reference maps of the human epigenome. All EpiExplorer analyses are performed dynamically within seconds, using an efficient and versatile text indexing scheme that we introduce to bioinformatics. EpiExplorer is available at http://epiexplorer.mpi-inf.mpg.de.}, JOURNAL = {Genome Biology}, VOLUME = {13}, NUMBER = {10}, PAGES = {1--14}, EID = {R96}, }
Endnote
%0 Journal Article %A Halachev, Konstantin %A Bast, Hannah %A Albrecht, Felipe %A Lengauer, Thomas %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T EpiExplorer: Live Exploration and Global Analysis of Large Epigenomic Datasets : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C951-3 %R 10.1186/gb-2012-13-10-r96 %U http://www.ncbi.nlm.nih.gov/pubmed/23034089 %F OTHER: Local-ID: 15A6C3BF892187C2C1257AED003FCD73-BockLengauer2012a %7 2012 %D 2012 %X ABSTRACT: Epigenome mapping consortia are generating resources of tremendous value for studying epigenetic regulation. To maximize their utility and impact, new tools are needed that facilitate interactive analysis of epigenome datasets. Here we describe EpiExplorer, a web tool for exploring genome and epigenome data on a genomic scale. We demonstrate EpiExplorer's utility by describing a hypothesis-generating analysis of DNA hydroxymethylation in relation to public reference maps of the human epigenome. All EpiExplorer analyses are performed dynamically within seconds, using an efficient and versatile text indexing scheme that we introduce to bioinformatics. EpiExplorer is available at http://epiexplorer.mpi-inf.mpg.de. %J Genome Biology %V 13 %N 10 %& 1 %P 1 - 14 %Z sequence number: R96 %I BioMed Central Ltd. %C London %@ false %U http://genomebiology.com/2012/13/10/R96
430. Hauschild A-C, Schneider T, Pauling J, Rupp K, Jang M, Baumbach JI, Baumbach J: Computational Methods for Metabolomic Data Analysis of Ion Mobility Spectrometry Data - Reviewing the State of the Art. Metabolites 2012, 2.
Abstract
Ion mobility spectrometry combined with multi-capillary columns (MCC/IMS) is a well known technology for detecting volatile organic compounds (VOCs). We may utilize MCC/IMS for scanning human exhaled air, bacterial colonies or cell lines, for example. Thereby we gain information about the human health status or infection threats. We may further study the metabolic response of living cells to external perturbations. The instrument is comparably cheap, robust and easy to use in every day practice. However, the potential of the MCC/IMS methodology depends on the successful application of computational approaches for analyzing the huge amount of emerging data sets. Here, we will review the state of the art and highlight existing challenges. First, we address methods for raw data handling, data storage and visualization. Afterwards we will introduce de-noising, peak picking and other pre-processing approaches. We will discuss statistical methods for analyzing correlations between peaks and diseases or medical treatment. Finally, we study up-to-date machine learning techniques for identifying robust biomarker molecules that allow classifying patients into healthy and diseased groups. We conclude that MCC/IMS coupled with sophisticated computational methods has the potential to successfully address a broad range of biomedical questions. While we can solve most of the data pre-processing steps satisfactorily, some computational challenges with statistical learning and model validation remain.
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@article{Hauschild2012b, TITLE = {Computational Methods for Metabolomic Data Analysis of Ion Mobility Spectrometry Data -- Reviewing the State of the Art}, AUTHOR = {Hauschild, Anne-Christin and Schneider, Till and Pauling, Josch and Rupp, Kathrin and Jang, Mi and Baumbach, J{\"o}rg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, ISBN = {2218-1989}, DOI = {10.3390/metabo2040733}, PUBLISHER = {MDPI}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Ion mobility spectrometry combined with multi-capillary columns (MCC/IMS) is a well known technology for detecting volatile organic compounds (VOCs). We may utilize MCC/IMS for scanning human exhaled air, bacterial colonies or cell lines, for example. Thereby we gain information about the human health status or infection threats. We may further study the metabolic response of living cells to external perturbations. The instrument is comparably cheap, robust and easy to use in every day practice. However, the potential of the MCC/IMS methodology depends on the successful application of computational approaches for analyzing the huge amount of emerging data sets. Here, we will review the state of the art and highlight existing challenges. First, we address methods for raw data handling, data storage and visualization. Afterwards we will introduce de-noising, peak picking and other pre-processing approaches. We will discuss statistical methods for analyzing correlations between peaks and diseases or medical treatment. Finally, we study up-to-date machine learning techniques for identifying robust biomarker molecules that allow classifying patients into healthy and diseased groups. We conclude that MCC/IMS coupled with sophisticated computational methods has the potential to successfully address a broad range of biomedical questions. While we can solve most of the data pre-processing steps satisfactorily, some computational challenges with statistical learning and model validation remain.}, JOURNAL = {Metabolites}, VOLUME = {2}, PAGES = {733--755}, }
Endnote
%0 Journal Article %A Hauschild, Anne-Christin %A Schneider, Till %A Pauling, Josch %A Rupp, Kathrin %A Jang, Mi %A Baumbach, J&#246;rg Ingo %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Methods for Metabolomic Data Analysis of Ion Mobility Spectrometry Data - Reviewing the State of the Art : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F4A8-D %@ 2218-1989 %R 10.3390/metabo2040733 %D 2012 %X Ion mobility spectrometry combined with multi-capillary columns (MCC/IMS) is a well known technology for detecting volatile organic compounds (VOCs). We may utilize MCC/IMS for scanning human exhaled air, bacterial colonies or cell lines, for example. Thereby we gain information about the human health status or infection threats. We may further study the metabolic response of living cells to external perturbations. The instrument is comparably cheap, robust and easy to use in every day practice. However, the potential of the MCC/IMS methodology depends on the successful application of computational approaches for analyzing the huge amount of emerging data sets. Here, we will review the state of the art and highlight existing challenges. First, we address methods for raw data handling, data storage and visualization. Afterwards we will introduce de-noising, peak picking and other pre-processing approaches. We will discuss statistical methods for analyzing correlations between peaks and diseases or medical treatment. Finally, we study up-to-date machine learning techniques for identifying robust biomarker molecules that allow classifying patients into healthy and diseased groups. We conclude that MCC/IMS coupled with sophisticated computational methods has the potential to successfully address a broad range of biomedical questions. While we can solve most of the data pre-processing steps satisfactorily, some computational challenges with statistical learning and model validation remain. %J Metabolites %V 2 %& 733 %P 733 - 755 %I MDPI %C Basel
431. Hauschild A-C, Baumbach JI, Baumbach J: Integrated Statistical Learning of Metabolic Ion Mobility Spectrometry Profiles for Pulmonary Disease Identification. Genetics and Molecular Research 2012, 11.
Abstract
Exhaled air carries information on human health status. Ion mobility spectrometers combined with a multi-capillary column (MCC/IMS) is a well-known technology for detecting volatile organic compounds (VOCs) within human breath. This technique is relatively inexpensive, robust and easy to use in every day practice. However, the potential of this methodology depends on successful application of computational approaches for finding relevant VOCs and classification of patients into disease-specific profile groups based on the detected VOCs. We developed an integrated state-of-the-art system using sophisticated statistical learning techniques for VOC-based feature selection and supervised classification into patient groups. We analyzed breath data from 84 volunteers, each of them either suffering from chronic obstructive pulmonary disease (COPD), or both COPD and bronchial carcinoma (COPD + BC), as well as from 35 healthy volunteers, comprising a control group (CG). We standardized and integrated several statistical learning methods to provide a broad overview of their potential for distinguishing the patient groups. We found that there is strong potential for separating MCC/IMS chromatograms of healthy controls and COPD patients (best accuracy COPD vs CG: 94). However, further examination of the impact of bronchial carcinoma on COPD/no-COPD classification performance is necessary (best accuracy CG vs COPD vs COPD + BC: 79). We also extracted 20 high-scoring VOCs that allowed differentiating COPD patients from healthy controls. We conclude that these statistical learning methods have a generally high accuracy when applied to wellstructured, medical MCC/IMS data.
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@article{Hauschild2012, TITLE = {Integrated Statistical Learning of Metabolic Ion Mobility Spectrometry Profiles for Pulmonary Disease Identification}, AUTHOR = {Hauschild, Anne-Christin and Baumbach, J{\"o}rg Ingo and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1676-5680}, DOI = {10.4238/2012.July.10.17}, LOCALID = {Local-ID: A68C037B14AE615DC1257AF500554A14-Hauschild2012}, PUBLISHER = {FUNPEC}, ADDRESS = {Ribeirao Preto, SP, Brasil}, YEAR = {2012}, ABSTRACT = {Exhaled air carries information on human health status. Ion mobility spectrometers combined with a multi-capillary column (MCC/IMS) is a well-known technology for detecting volatile organic compounds (VOCs) within human breath. This technique is relatively inexpensive, robust and easy to use in every day practice. However, the potential of this methodology depends on successful application of computational approaches for finding relevant VOCs and classification of patients into disease-specific profile groups based on the detected VOCs. We developed an integrated state-of-the-art system using sophisticated statistical learning techniques for VOC-based feature selection and supervised classification into patient groups. We analyzed breath data from 84 volunteers, each of them either suffering from chronic obstructive pulmonary disease (COPD), or both COPD and bronchial carcinoma (COPD + BC), as well as from 35 healthy volunteers, comprising a control group (CG). We standardized and integrated several statistical learning methods to provide a broad overview of their potential for distinguishing the patient groups. We found that there is strong potential for separating MCC/IMS chromatograms of healthy controls and COPD patients (best accuracy COPD vs CG: 94). However, further examination of the impact of bronchial carcinoma on COPD/no-COPD classification performance is necessary (best accuracy CG vs COPD vs COPD + BC: 79). We also extracted 20 high-scoring VOCs that allowed differentiating COPD patients from healthy controls. We conclude that these statistical learning methods have a generally high accuracy when applied to wellstructured, medical MCC/IMS data.}, JOURNAL = {Genetics and Molecular Research}, VOLUME = {11}, NUMBER = {3}, PAGES = {2733--2744}, }
Endnote
%0 Journal Article %A Hauschild, Anne-Christin %A Baumbach, J&#246;rg Ingo %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrated Statistical Learning of Metabolic Ion Mobility Spectrometry Profiles for Pulmonary Disease Identification : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB12-4 %R 10.4238/2012.July.10.17 %F OTHER: Local-ID: A68C037B14AE615DC1257AF500554A14-Hauschild2012 %7 2012-07-10 %D 2012 %8 10.07.2012 %X Exhaled air carries information on human health status. Ion mobility spectrometers combined with a multi-capillary column (MCC/IMS) is a well-known technology for detecting volatile organic compounds (VOCs) within human breath. This technique is relatively inexpensive, robust and easy to use in every day practice. However, the potential of this methodology depends on successful application of computational approaches for finding relevant VOCs and classification of patients into disease-specific profile groups based on the detected VOCs. We developed an integrated state-of-the-art system using sophisticated statistical learning techniques for VOC-based feature selection and supervised classification into patient groups. We analyzed breath data from 84 volunteers, each of them either suffering from chronic obstructive pulmonary disease (COPD), or both COPD and bronchial carcinoma (COPD + BC), as well as from 35 healthy volunteers, comprising a control group (CG). We standardized and integrated several statistical learning methods to provide a broad overview of their potential for distinguishing the patient groups. We found that there is strong potential for separating MCC/IMS chromatograms of healthy controls and COPD patients (best accuracy COPD vs CG: 94). However, further examination of the impact of bronchial carcinoma on COPD/no-COPD classification performance is necessary (best accuracy CG vs COPD vs COPD + BC: 79). We also extracted 20 high-scoring VOCs that allowed differentiating COPD patients from healthy controls. We conclude that these statistical learning methods have a generally high accuracy when applied to wellstructured, medical MCC/IMS data. %J Genetics and Molecular Research %V 11 %N 3 %& 2733 %P 2733 - 2744 %I FUNPEC %C Ribeirao Preto, SP, Brasil %@ false %U http://dx.doi.org/10.4238/2012.July.10.17
432. Heger E, Thielen A, Gilles R, Obermeier M, Lengauer T, Kaiser R, Trapp S: APOBEC3G/F as one Possible Driving Force for Co-receptor Switch of the Human Immunodeficiency Virus-1. Medical Microbiology and Immunology 2012, 201.
Abstract
Human immunodeficiency virus-1 tropism highly correlates with the amino acid (aa) composition of the third hypervariable region (V3) of gp120. A shift towards more positively charged aa is seen when binding to CXCR4 compared with CCR5 (X4 vs. R5 strains), especially positions 11 and 25 (11/25-rule) predicting X4 viruses in the presence of positively charged residues. At nucleotide levels, negatively or uncharged aa, e.g., aspartic and glutamic acid and glycine, which are encoded by the triplets GAN (guanine-adenosine-any nucleotide) or GGN are found more often in R5 strains. Positively charged aa such as arginine and lysine encoded by AAR or AGR (CGN) (R means A or G) are seen more frequently in X4 strains suggesting our hypothesis that a switch from R5 to X4 strains occurs via a G-to-A mutation. 1527 V3 sequences from three independent data sets of X4 and R5 strains were analysed with respect to their triplet composition. A higher number of G-containing triplets was found in R5 viruses, whereas X4 strains displayed a higher content of A-comprising triplets. These findings also support our hypothesis that G-to-A mutations are leading to the co-receptor switch from R5 to X4 strains. Causative agents for G-to-A mutations are the deaminases APOBEC3F and APOBEC3G. We therefore hypothesize that these proteins are one driving force facilitating the appearance of X4 variants. G-to-A mutations can lead to a switch from negatively to positively charged aa and a respective alteration of the net charge of gp120 resulting in a change of co-receptor usage.
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@article{lengauer2012a, TITLE = {{APOBEC3G/F} as one Possible Driving Force for Co-receptor Switch of the Human Immunodeficiency Virus-1}, AUTHOR = {Heger, Eva and Thielen, Alexander and Gilles, Ramona and Obermeier, Martin and Lengauer, Thomas and Kaiser, Rolf and Trapp, Susanna}, LANGUAGE = {eng}, ISSN = {0300-8584}, DOI = {10.1007/s00430-011-0199-9}, LOCALID = {Local-ID: E2CADF8149F99CFEC1257AD30032E02E-lengauer2012a}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Human immunodeficiency virus-1 tropism highly correlates with the amino acid (aa) composition of the third hypervariable region (V3) of gp120. A shift towards more positively charged aa is seen when binding to CXCR4 compared with CCR5 (X4 vs. R5 strains), especially positions 11 and 25 (11/25-rule) predicting X4 viruses in the presence of positively charged residues. At nucleotide levels, negatively or uncharged aa, e.g., aspartic and glutamic acid and glycine, which are encoded by the triplets GAN (guanine-adenosine-any nucleotide) or GGN are found more often in R5 strains. Positively charged aa such as arginine and lysine encoded by AAR or AGR (CGN) (R means A or G) are seen more frequently in X4 strains suggesting our hypothesis that a switch from R5 to X4 strains occurs via a G-to-A mutation. 1527 V3 sequences from three independent data sets of X4 and R5 strains were analysed with respect to their triplet composition. A higher number of G-containing triplets was found in R5 viruses, whereas X4 strains displayed a higher content of A-comprising triplets. These findings also support our hypothesis that G-to-A mutations are leading to the co-receptor switch from R5 to X4 strains. Causative agents for G-to-A mutations are the deaminases APOBEC3F and APOBEC3G. We therefore hypothesize that these proteins are one driving force facilitating the appearance of X4 variants. G-to-A mutations can lead to a switch from negatively to positively charged aa and a respective alteration of the net charge of gp120 resulting in a change of co-receptor usage.}, JOURNAL = {Medical Microbiology and Immunology}, VOLUME = {201}, NUMBER = {1}, PAGES = {7--16}, }
Endnote
%0 Journal Article %A Heger, Eva %A Thielen, Alexander %A Gilles, Ramona %A Obermeier, Martin %A Lengauer, Thomas %A Kaiser, Rolf %A Trapp, Susanna %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T APOBEC3G/F as one Possible Driving Force for Co-receptor Switch of the Human Immunodeficiency Virus-1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C901-A %R 10.1007/s00430-011-0199-9 %F OTHER: Local-ID: E2CADF8149F99CFEC1257AD30032E02E-lengauer2012a %7 2011-05-15 %D 2012 %X Human immunodeficiency virus-1 tropism highly correlates with the amino acid (aa) composition of the third hypervariable region (V3) of gp120. A shift towards more positively charged aa is seen when binding to CXCR4 compared with CCR5 (X4 vs. R5 strains), especially positions 11 and 25 (11/25-rule) predicting X4 viruses in the presence of positively charged residues. At nucleotide levels, negatively or uncharged aa, e.g., aspartic and glutamic acid and glycine, which are encoded by the triplets GAN (guanine-adenosine-any nucleotide) or GGN are found more often in R5 strains. Positively charged aa such as arginine and lysine encoded by AAR or AGR (CGN) (R means A or G) are seen more frequently in X4 strains suggesting our hypothesis that a switch from R5 to X4 strains occurs via a G-to-A mutation. 1527 V3 sequences from three independent data sets of X4 and R5 strains were analysed with respect to their triplet composition. A higher number of G-containing triplets was found in R5 viruses, whereas X4 strains displayed a higher content of A-comprising triplets. These findings also support our hypothesis that G-to-A mutations are leading to the co-receptor switch from R5 to X4 strains. Causative agents for G-to-A mutations are the deaminases APOBEC3F and APOBEC3G. We therefore hypothesize that these proteins are one driving force facilitating the appearance of X4 variants. G-to-A mutations can lead to a switch from negatively to positively charged aa and a respective alteration of the net charge of gp120 resulting in a change of co-receptor usage. %K Amino Acid Sequence Cytidine Deaminase/*metabolism Cytosine Deaminase/*metabolism HIV Envelope Protein gp120/*chemistry/genetics/*metabolism HIV Infections/virology HIV-1/*metabolism/pathogenicity Humans Molecular Sequence Data *Mutation Peptide Fragments/*chemistry/genetics/*metabolism Phenotype Polymerase Chain Reaction/methods Receptors, CCR5/genetics/*metabolism Receptors, CXCR4/genetics/*metabolism Sequence Alignment %J Medical Microbiology and Immunology %O Med. Microbiol. Immunol. %V 201 %N 1 %& 7 %P 7 - 16 %I Springer %C New York, NY %@ false
433. Kalaghatgi P: A Phylodynamic Study of HIV Transmission Networks in Europe. Universität des Saarlandes; 2012.
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@mastersthesis{Kalaghatgi2012MastersThesis, TITLE = {A Phylodynamic Study of {HIV} Transmission Networks in {E}urope}, AUTHOR = {Kalaghatgi, Prabhav}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Kalaghatgi, Prabhav %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Phylodynamic Study of HIV Transmission Networks in Europe : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6F20-5 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master
434. Kalaghatgi P, Lawyer G: A Pan-European Phylodynamic Study of HIV-1 Transmission Networks. European Conference on Computational Biology 2012 (ECCB 2012) 2012.
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@inproceedings{Kalaghatgi2012Poster, TITLE = {A Pan-{E}uropean Phylodynamic Study of {HIV}-1 Transmission Networks}, AUTHOR = {Kalaghatgi, Prabhav and Lawyer, Glenn}, LANGUAGE = {eng}, YEAR = {2012}, DATE = {2012}, BOOKTITLE = {European Conference on Computational Biology 2012 (ECCB 2012)}, }
Endnote
%0 Generic %A Kalaghatgi, Prabhav %A Lawyer, Glenn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Pan-European Phylodynamic Study of HIV-1 Transmission Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6F36-6 %D 2012 %Z name of event: European Conference on Computational Biology 2012 %Z date of event: 2012-09-08 - 2012-09-11 %Z place of event: %B European Conference on Computational Biology 2012
435. Kalinina OV, Oberwinkler H, Glass B, Krausslich H-G, Russell RB, Briggs JAG: Computational Identification of Novel Amino-Acid Interactions in HIV Gag via Correlated Evolution. PLoS One 2012, 7.
Abstract
Pairs of amino acid positions that evolve in a correlated manner are proposed to play important roles in protein structure or function. Methods to detect them might fare better with families for which sequences of thousands of closely related homologs are available than families with only a few distant relatives. We applied co-evolution analysis to thousands of sequences of HIV Gag, finding that the most significantly co-evolving positions are proximal in the quaternary structures of the viral capsid. A reduction in infectivity caused by mutating one member of a significant pair could be rescued by a compensatory mutation of the other.
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@article{Kalininar2012, TITLE = {Computational Identification of Novel Amino-Acid Interactions in {HIV} Gag via Correlated Evolution}, AUTHOR = {Kalinina, Olga V. and Oberwinkler, Heike and Glass, B{\"a}rbel and Krausslich, Hans-Georg and Russell, Robert B. and Briggs, John A. G.}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22879995}, DOI = {10.1371/journal.pone.0042468}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2012}, ABSTRACT = {Pairs of amino acid positions that evolve in a correlated manner are proposed to play important roles in protein structure or function. Methods to detect them might fare better with families for which sequences of thousands of closely related homologs are available than families with only a few distant relatives. We applied co-evolution analysis to thousands of sequences of HIV Gag, finding that the most significantly co-evolving positions are proximal in the quaternary structures of the viral capsid. A reduction in infectivity caused by mutating one member of a significant pair could be rescued by a compensatory mutation of the other.}, JOURNAL = {PLoS One}, VOLUME = {7}, NUMBER = {8}, PAGES = {e42468,1--e42468,5}, EID = {e42468}, }
Endnote
%0 Journal Article %A Kalinina, Olga V. %A Oberwinkler, Heike %A Glass, B&#228;rbel %A Krausslich, Hans-Georg %A Russell, Robert B. %A Briggs, John A. G. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Computational Identification of Novel Amino-Acid Interactions in HIV Gag via Correlated Evolution : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C8F4-0 %R 10.1371/journal.pone.0042468 %U http://www.ncbi.nlm.nih.gov/pubmed/22879995 %F OTHER: 231E99E1B252A1E3C1257B280046C6E3-Kalininar2012 %7 2012-08-03 %D 2012 %8 03.08.2012 %X Pairs of amino acid positions that evolve in a correlated manner are proposed to play important roles in protein structure or function. Methods to detect them might fare better with families for which sequences of thousands of closely related homologs are available than families with only a few distant relatives. We applied co-evolution analysis to thousands of sequences of HIV Gag, finding that the most significantly co-evolving positions are proximal in the quaternary structures of the viral capsid. A reduction in infectivity caused by mutating one member of a significant pair could be rescued by a compensatory mutation of the other. %K Amino Acid Sequence Amino Acids/*metabolism Computational Biology/*methods *Evolution, Molecular HIV/genetics/pathogenicity Models, Molecular Molecular Sequence Data gag Gene Products, Human Immunodeficiency Virus/*chemistry/*genetics %J PLoS One %V 7 %N 8 %& e42468,1 %P e42468,1 - e42468,5 %Z sequence number: e42468 %I Public Library of Science %C San Francisco, CA %@ false
436. König E: Automatic Detection of Loss of Heterozygosity in Cancer. Universität des Saarlandes; 2012.
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@mastersthesis{KoenigMaster2012, TITLE = {Automatic Detection of Loss of Heterozygosity in Cancer}, AUTHOR = {K{\"o}nig, Eva}, LANGUAGE = {eng}, LOCALID = {Local-ID: B5683407CE76C544C1257B270053FCFC-KoenigMaster2012}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A K&#246;nig, Eva %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automatic Detection of Loss of Heterozygosity in Cancer : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BA47-5 %F OTHER: Local-ID: B5683407CE76C544C1257B270053FCFC-KoenigMaster2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master
437. Koser S: Reconstructing Anecestral Methylation States in Phylogenetic Trees. Universität des Saarlandes; 2012.
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@mastersthesis{KoserMaster^2012, TITLE = {Reconstructing Anecestral Methylation States in Phylogenetic Trees}, AUTHOR = {Koser, Sandra}, LANGUAGE = {eng}, LOCALID = {Local-ID: 9EE6F63A0286B6B0C1257B270053D7D1-KoserMaster^2012}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Koser, Sandra %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Reconstructing Anecestral Methylation States in Phylogenetic Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BA4A-0 %F OTHER: Local-ID: 9EE6F63A0286B6B0C1257B270053D7D1-KoserMaster^2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master
438. Lawyer G, Schülter E, Kaiser R, Reuter S, Oette M, Lengauer T: Endogenous or Exogenous Spreading of HIV-1 in Nordrhein-Westfalen, Germany, Investigated by Phylodynamic Analysis of the RESINA Study Cohort. Medical Microbiology and Immunology 2012, 201.
Abstract
HIV's genetic instability means that sequence similarity can illuminate the underlying transmission network. Previous application of such methods to samples from the United Kingdom has suggested that as many as 86% of UK infections arose outside of the country, a conclusion contrary to usual patterns of disease spread. We investigated transmission networks in the Resina cohort, a 2,747 member sample from Nordrhein-Westfalen, Germany, sequenced at therapy start. Transmission networks were determined by thresholding the pairwise genetic distance in the pol gene at 96.8% identity. At first blush the results concurred with the UK studies. Closer examination revealed four large and growing transmission networks that encompassed all major transmission groups. One of these formed a supercluster containing 71% of the sex with men (MSM) subjects when the network was thresholded at levels roughly equivalent to those used in the UK studies, though methodological differences suggest that this threshold may be too generous in the current data. Examination of the endo- versus exogenesis hypothesis by testing whether infections that were exogenous to Cologne or to Dusseldorf were endogenous to the greater region supported endogenous spread in MSM subjects and exogenous spread in the endemic transmission group. In intravenous drug using group subjects, it depended on viral strain, with subtype B sequences appearing to have origin exogenous to the Resina data, while non-B sequences (primarily subtype A) were almost completely endogenous to their local community. These results suggest that, at least in Germany, the question of endogenous versus exogenous linkages depends on subject group.
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@article{Lawyer2012, TITLE = {Endogenous or Exogenous Spreading of {HIV-1} in Nordrhein-Westfalen, Germany, Investigated by Phylodynamic Analysis of the {RESINA} Study Cohort}, AUTHOR = {Lawyer, Glenn and Sch{\"u}lter, Eugen and Kaiser, Rolf and Reuter, Stefan and Oette, Mark and Lengauer, Thomas and {RESINA Resarch Group}}, LANGUAGE = {eng}, ISSN = {0300-8584}, DOI = {10.1007/s00430-011-0228-8}, LOCALID = {Local-ID: 9AD835932963CE5FC1257AD20040FFB8-Lawyer2012}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {HIV's genetic instability means that sequence similarity can illuminate the underlying transmission network. Previous application of such methods to samples from the United Kingdom has suggested that as many as 86% of UK infections arose outside of the country, a conclusion contrary to usual patterns of disease spread. We investigated transmission networks in the Resina cohort, a 2,747 member sample from Nordrhein-Westfalen, Germany, sequenced at therapy start. Transmission networks were determined by thresholding the pairwise genetic distance in the pol gene at 96.8% identity. At first blush the results concurred with the UK studies. Closer examination revealed four large and growing transmission networks that encompassed all major transmission groups. One of these formed a supercluster containing 71% of the sex with men (MSM) subjects when the network was thresholded at levels roughly equivalent to those used in the UK studies, though methodological differences suggest that this threshold may be too generous in the current data. Examination of the endo- versus exogenesis hypothesis by testing whether infections that were exogenous to Cologne or to Dusseldorf were endogenous to the greater region supported endogenous spread in MSM subjects and exogenous spread in the endemic transmission group. In intravenous drug using group subjects, it depended on viral strain, with subtype B sequences appearing to have origin exogenous to the Resina data, while non-B sequences (primarily subtype A) were almost completely endogenous to their local community. These results suggest that, at least in Germany, the question of endogenous versus exogenous linkages depends on subject group.}, JOURNAL = {Medical Microbiology and Immunology}, VOLUME = {201}, NUMBER = {3}, PAGES = {259--269}, }
Endnote
%0 Journal Article %A Lawyer, Glenn %A Sch&#252;lter, Eugen %A Kaiser, Rolf %A Reuter, Stefan %A Oette, Mark %A Lengauer, Thomas %A RESINA Resarch Group, %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Endogenous or Exogenous Spreading of HIV-1 in Nordrhein-Westfalen, Germany, Investigated by Phylodynamic Analysis of the RESINA Study Cohort : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C8F1-5 %R 10.1007/s00430-011-0228-8 %F OTHER: Local-ID: 9AD835932963CE5FC1257AD20040FFB8-Lawyer2012 %7 2012-01-20 %D 2012 %X HIV's genetic instability means that sequence similarity can illuminate the underlying transmission network. Previous application of such methods to samples from the United Kingdom has suggested that as many as 86% of UK infections arose outside of the country, a conclusion contrary to usual patterns of disease spread. We investigated transmission networks in the Resina cohort, a 2,747 member sample from Nordrhein-Westfalen, Germany, sequenced at therapy start. Transmission networks were determined by thresholding the pairwise genetic distance in the pol gene at 96.8% identity. At first blush the results concurred with the UK studies. Closer examination revealed four large and growing transmission networks that encompassed all major transmission groups. One of these formed a supercluster containing 71% of the sex with men (MSM) subjects when the network was thresholded at levels roughly equivalent to those used in the UK studies, though methodological differences suggest that this threshold may be too generous in the current data. Examination of the endo- versus exogenesis hypothesis by testing whether infections that were exogenous to Cologne or to Dusseldorf were endogenous to the greater region supported endogenous spread in MSM subjects and exogenous spread in the endemic transmission group. In intravenous drug using group subjects, it depended on viral strain, with subtype B sequences appearing to have origin exogenous to the Resina data, while non-B sequences (primarily subtype A) were almost completely endogenous to their local community. These results suggest that, at least in Germany, the question of endogenous versus exogenous linkages depends on subject group. %K Cohort Studies Endemic Diseases Female Germany/epidemiology HIV Infections/*epidemiology/*transmission/virology HIV-1/*genetics Heterosexuality Homosexuality, Male Humans Male *Molecular Epidemiology Prospective Studies Substance Abuse, Intravenous/complications %J Medical Microbiology and Immunology %O Med. Microbiol. Immunol. %V 201 %N 3 %& 259 %P 259 - 269 %I Springer %C New York, NY %@ false
439. Lengauer T, Albrecht M, Domingues FS: Computational Biology. In Encyclopedia of Molecular Cell Biology and Molecular Medicine. Weinheim, Germany: Wiley-VCH; 2012.
Abstract
During recent years, biological research has become increasingly based on large-scale experimentation such that data may be collected on an organismic scale. These data are voluminous, they are often very noisy, and their interpretation � and the configuration of the experiments involved � necessitates complex computer analysis. The respective computer methods are themselves an object of intensive research in a scientific discipline known as "computational biology" or "bioinformatics." Computational biology has a wide variety of facets that range from experiment configuration and low-level data analysis to computer-generated hypotheses.
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@incollection{Albrecht2012g, TITLE = {Computational Biology}, AUTHOR = {Lengauer, Thomas and Albrecht, Mario and Domingues, Francisco S.}, LANGUAGE = {eng}, ISBN = {978-3-527-60090-8}, DOI = {10.1002/3527600906.mcb.200400023.pub2; 10.1002/3527600906}, LOCALID = {Local-ID: C6545BDC6EE10AB7C1257AD9003E8B44-Albrecht2012g}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2012}, ABSTRACT = {During recent years, biological research has become increasingly based on large-scale experimentation such that data may be collected on an organismic scale. These data are voluminous, they are often very noisy, and their interpretation {\diamond} and the configuration of the experiments involved {\diamond} necessitates complex computer analysis. The respective computer methods are themselves an object of intensive research in a scientific discipline known as "computational biology" or "bioinformatics." Computational biology has a wide variety of facets that range from experiment configuration and low-level data analysis to computer-generated hypotheses.}, BOOKTITLE = {Encyclopedia of Molecular Cell Biology and Molecular Medicine}, EDITOR = {Meyers, Robert A.}, PAGES = {1--71}, }
Endnote
%0 Book Section %A Lengauer, Thomas %A Albrecht, Mario %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Biology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C521-F %R 10.1002/3527600906.mcb.200400023.pub2 %F OTHER: Local-ID: C6545BDC6EE10AB7C1257AD9003E8B44-Albrecht2012g %D 2012 %8 15.05.2012 %X During recent years, biological research has become increasingly based on large-scale experimentation such that data may be collected on an organismic scale. These data are voluminous, they are often very noisy, and their interpretation &#65533; and the configuration of the experiments involved &#65533; necessitates complex computer analysis. The respective computer methods are themselves an object of intensive research in a scientific discipline known as "computational biology" or "bioinformatics." Computational biology has a wide variety of facets that range from experiment configuration and low-level data analysis to computer-generated hypotheses. %B Encyclopedia of Molecular Cell Biology and Molecular Medicine %E Meyers, Robert A. %P 1 - 71 %I Wiley-VCH %C Weinheim, Germany %@ 978-3-527-60090-8
440. Lengauer T: Bioinformatical Assistance of Selecting Anti-HIV Therapies: Where Do We Stand?Intervirology 2012, 55.
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@article{Lengauer2012z, TITLE = {Bioinformatical Assistance of Selecting Anti-{HIV} Therapies: {Where} Do We Stand?}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, DOI = {10.1159/000332000}, LOCALID = {Local-ID: 5FD44ECAFCBC86ABC1257B1200419E45-Lengauer2012z}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Intervirology}, VOLUME = {55}, NUMBER = {2}, PAGES = {108--112}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatical Assistance of Selecting Anti-HIV Therapies: Where Do We Stand? : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BAF4-0 %R 10.1159/000332000 %F OTHER: Local-ID: 5FD44ECAFCBC86ABC1257B1200419E45-Lengauer2012z %7 2012-01-24 %D 2012 %J Intervirology %V 55 %N 2 %& 108 %P 108 - 112 %I Karger %C Basel
441. Mekhubad S, Bock C, de Boer AS, Kiskinis E, Meissner A, Eggan K: Erosion of Dosage Compensation Impacts Human iPSC Disease Modeling. Cell Stem Cell 2012, 10.
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@article{Bock2013c, TITLE = {Erosion of Dosage Compensation Impacts Human {iPSC} Disease Modeling}, AUTHOR = {Mekhubad, Shila and Bock, Christoph and de Boer, A. Sophie and Kiskinis, Evangelos and Meissner, Alexander and Eggan, Kevin}, LANGUAGE = {eng}, ISSN = {1934-5909; 1875-9777}, DOI = {10.1016/j.stem.2012.02.014}, LOCALID = {Local-ID: 8DCDA667115485ACC1257AED004067AA-Bock2013c}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Cell Stem Cell}, VOLUME = {10}, NUMBER = {5}, PAGES = {595--609}, }
Endnote
%0 Journal Article %A Mekhubad, Shila %A Bock, Christoph %A de Boer, A. Sophie %A Kiskinis, Evangelos %A Meissner, Alexander %A Eggan, Kevin %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Erosion of Dosage Compensation Impacts Human iPSC Disease Modeling : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB59-4 %R 10.1016/j.stem.2012.02.014 %F OTHER: Local-ID: 8DCDA667115485ACC1257AED004067AA-Bock2013c %7 2012-05-03 %D 2012 %J Cell Stem Cell %V 10 %N 5 %& 595 %P 595 - 609 %I Elsevier %C Amsterdam %@ false %U http://dx.doi.org/10.1016/j.stem.2012.02.014
442. Mikeska T, Bock C, Do H, Dobrovic A: DNA Methylation Biomarkers in Cancer: Progress Towards Clinical Implementation. Expert Review of Molecular Diagnostics 2012, 12.
Abstract
Altered DNA methylation is ubiquitous in human cancers and specific methylation changes are often correlated with clinical features. DNA methylation biomarkers, which use those specific methylation changes, provide a range of opportunities for early detection, diagnosis, prognosis, therapeutic stratification and post-therapeutic monitoring. Here we review current approaches to developing and applying DNA methylation biomarkers in cancer therapy. We discuss the obstacles that have so far limited the routine use of DNA methylation biomarkers in clinical settings and describe ways in which these obstacles can be overcome. Finally, we summarize the current state of clinical implementation for some of the most widely studied and well-validated DNA methylation biomarkers, including SEPT9, VIM, SHOX2, PITX2 and MGMT.
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@article{Bock2012b, TITLE = {DNA Methylation Biomarkers in Cancer: {Progress} Towards Clinical Implementation}, AUTHOR = {Mikeska, Thomas and Bock, Christoph and Do, Hongdo and Dobrovic, Alexander}, LANGUAGE = {eng}, ISSN = {1473-7159}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22702364}, DOI = {10.1586/erm.12.45}, LOCALID = {Local-ID: 9A69955C0CB231DDC1257AED0040310C-Bock2012b}, PUBLISHER = {Future Drugs Ltd}, ADDRESS = {London}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Altered DNA methylation is ubiquitous in human cancers and specific methylation changes are often correlated with clinical features. DNA methylation biomarkers, which use those specific methylation changes, provide a range of opportunities for early detection, diagnosis, prognosis, therapeutic stratification and post-therapeutic monitoring. Here we review current approaches to developing and applying DNA methylation biomarkers in cancer therapy. We discuss the obstacles that have so far limited the routine use of DNA methylation biomarkers in clinical settings and describe ways in which these obstacles can be overcome. Finally, we summarize the current state of clinical implementation for some of the most widely studied and well-validated DNA methylation biomarkers, including SEPT9, VIM, SHOX2, PITX2 and MGMT.}, JOURNAL = {Expert Review of Molecular Diagnostics}, VOLUME = {12}, NUMBER = {5}, PAGES = {473--487}, }
Endnote
%0 Journal Article %A Mikeska, Thomas %A Bock, Christoph %A Do, Hongdo %A Dobrovic, Alexander %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T DNA Methylation Biomarkers in Cancer: Progress Towards Clinical Implementation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C824-4 %R 10.1586/erm.12.45 %U http://www.ncbi.nlm.nih.gov/pubmed/22702364 %F OTHER: Local-ID: 9A69955C0CB231DDC1257AED0040310C-Bock2012b %D 2012 %X Altered DNA methylation is ubiquitous in human cancers and specific methylation changes are often correlated with clinical features. DNA methylation biomarkers, which use those specific methylation changes, provide a range of opportunities for early detection, diagnosis, prognosis, therapeutic stratification and post-therapeutic monitoring. Here we review current approaches to developing and applying DNA methylation biomarkers in cancer therapy. We discuss the obstacles that have so far limited the routine use of DNA methylation biomarkers in clinical settings and describe ways in which these obstacles can be overcome. Finally, we summarize the current state of clinical implementation for some of the most widely studied and well-validated DNA methylation biomarkers, including SEPT9, VIM, SHOX2, PITX2 and MGMT. %K Antimetabolites, Antineoplastic/therapeutic use Azacitidine/analogs & derivatives/therapeutic use *DNA Methylation *Early Detection of Cancer Genetic Markers Humans *Neoplasms/diagnosis/genetics/therapy Promoter Regions, Genetic Tumor Markers, Biological/*genetics %J Expert Review of Molecular Diagnostics %O Expert Rev Mol Diagn %V 12 %N 5 %& 473 %P 473 - 487 %I Future Drugs Ltd %C London %@ false
443. Müller J: Extracting Pathways from Biological Networks Incorporating Omics Data, Introducing a Webinterface for KeyPathwayMiner. Universität des Saarlandes; 2012.
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@mastersthesis{MuellerMaster2012, TITLE = {Extracting Pathways from Biological Networks Incorporating Omics Data, Introducing a Webinterface for {KeyPathwayMiner}}, AUTHOR = {M{\"u}ller, Joachim}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A M&#252;ller, Joachim %Y Baumbach, Jan %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Extracting Pathways from Biological Networks Incorporating Omics Data, Introducing a Webinterface for KeyPathwayMiner : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-F725-8 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master
444. Obermeier M, Pironti A, Berg T, Braun P, Däumer M, Eberle J, Ehret R, Kaiser R, Kleinkauf N, Korn K, Kücherer C, Müller H, Noah C, Stürmer M, Thielen A, Wolf E, Walter H: HIV-GRADE: A Publicly Available, Rules-based Drug Resistance Interpretation Algorithm Integrating Bioinformatic Knowledge. Intervirology 2012, 55.
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@article{Obermeier2012, TITLE = {{HIV-GRADE}: A Publicly Available, Rules-based Drug Resistance Interpretation Algorithm Integrating Bioinformatic Knowledge}, AUTHOR = {Obermeier, Martin and Pironti, Alejandro and Berg, Thomas and Braun, Patrick and D{\"a}umer, Martin and Eberle, Josef and Ehret, Robert and Kaiser, Rolf and Kleinkauf, Niels and Korn, Klaus and K{\"u}cherer, Claudia and M{\"u}ller, Harm and Noah, Christian and St{\"u}rmer, Martin and Thielen, Alexander and Wolf, Eva and Walter, Hauke}, LANGUAGE = {eng}, ISSN = {1423-0100}, DOI = {10.1159/000331999}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Intervirology}, VOLUME = {55}, PAGES = {102--107}, }
Endnote
%0 Journal Article %A Obermeier, Martin %A Pironti, Alejandro %A Berg, Thomas %A Braun, Patrick %A D&#228;umer, Martin %A Eberle, Josef %A Ehret, Robert %A Kaiser, Rolf %A Kleinkauf, Niels %A Korn, Klaus %A K&#252;cherer, Claudia %A M&#252;ller, Harm %A Noah, Christian %A St&#252;rmer, Martin %A Thielen, Alexander %A Wolf, Eva %A Walter, Hauke %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T HIV-GRADE: A Publicly Available, Rules-based Drug Resistance Interpretation Algorithm Integrating Bioinformatic Knowledge : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C588-B %R 10.1159/000331999 %F OTHER: 7C7905771387B06EC12579A3004EBC78-Obermeier2012 %7 2012-01-24 %D 2012 %J Intervirology %V 55 %& 102 %P 102 - 107 %I Karger %C Basel %@ false
445. Obermeier M, Camacho R, Charpentier C, Deschamps D, Eberle J, Gürtler L, Ruelle J, Pironti A, Brun-Veziet F, Stürmer M, Kaiser R, Pironti A: HIV2EU: Supporting Standardized HIV-2 Drug Resistance Interpretation in Europe. Journal of the International AIDS Society 2012(Supplement 4).
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@inproceedings{Pironti2012hiv12b, TITLE = {{HIV2EU}: Supporting Standardized {HIV-2} Drug Resistance Interpretation in Europe}, AUTHOR = {Obermeier, Martin and Camacho, Ricardo and Charpentier, Charlotte and Deschamps, Diane and Eberle, Joseph and G{\"u}rtler, Lutz and Ruelle, Jean and Pironti, Alejandro and Brun-Veziet, Francoise and St{\"u}rmer, Martin and Kaiser, Rolf and Pironti, Alejandro}, LANGUAGE = {eng}, ISSN = {1758-2652}, DOI = {10.7448/IAS.15.6.18180}, LOCALID = {Local-ID: 9744D75F71504D05C1257AD900435BC3-Pironti2012hiv12b}, PUBLISHER = {AIDS Society}, PUBLISHER = {AIDS Society}, YEAR = {2012}, BOOKTITLE = {Abstracts of the Eleventh International Congress on Drug Therapy in HIV Infection}, EDITOR = {Kippax, Susan and Salif Sow, Papa and Wainberg, Mark and Heidari, Shirin}, PAGES = {135--135}, EID = {18180}, JOURNAL = {Journal of the International AIDS Society}, VOLUME = {15}, ISSUE = {Supplement 4}, PAGES = {135--135}, EID = {18180}, ADDRESS = {Glasgow, UK}, }
Endnote
%0 Generic %A Obermeier, Martin %A Camacho, Ricardo %A Charpentier, Charlotte %A Deschamps, Diane %A Eberle, Joseph %A G&#252;rtler, Lutz %A Ruelle, Jean %A Pironti, Alejandro %A Brun-Veziet, Francoise %A St&#252;rmer, Martin %A Kaiser, Rolf %A Pironti, Alejandro %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T HIV2EU: Supporting Standardized HIV-2 Drug Resistance Interpretation in Europe : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB5D-B %F OTHER: Local-ID: 9744D75F71504D05C1257AD900435BC3-Pironti2012hiv12b %R 10.7448/IAS.15.6.18180 %D 2012 %8 11.11.2012 %Z name of event: HIV Drug Therapy 2012 %Z date of event: 2012-11-11 - 2012-11-15 %Z place of event: Glasgow, UK %B Abstracts of the Eleventh International Congress on Drug Therapy in HIV Infection %E Kippax, Susan; Salif Sow, Papa; Wainberg, Mark; Heidari, Shirin %P 135 - 135 %Z sequence number: 18180 %J Journal of the International AIDS Society %V 15 %N Supplement 4 %P 135 - 135 %Z sequence number: 18180 %@ false %U http://dx.doi.org/10.7448/IAS.15.6.18260http://www.jiasociety.org/index.php/jias/article/view/18180
446. Oette M, Schulter E, Rosen-Zvi M, Peres Y, Zazzi M, Sonnerborg A, Struck D, Altmann A, Kaiser R: Efficacy of Antiretroviral Therapy Switch in HIV-Infected Patients: A 10- year Analysis of the EuResist Cohort. Intervirology 2012, 55.
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@article{Oette2012b, TITLE = {Efficacy of Antiretroviral Therapy Switch in {HIV}--Infected Patients: A 10--year Analysis of the {EuResist} Cohort}, AUTHOR = {Oette, Mark and Schulter, Eugen and Rosen-Zvi, Michal and Peres, Yardena and Zazzi, Maurizio and Sonnerborg, Anders and Struck, Daniel and Altmann, Andr{\'e} and Kaiser, Rolf}, LANGUAGE = {eng}, DOI = {10.1159/000332018}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Intervirology}, VOLUME = {55}, NUMBER = {2}, PAGES = {160--166}, }
Endnote
%0 Journal Article %A Oette, Mark %A Schulter, Eugen %A Rosen-Zvi, Michal %A Peres, Yardena %A Zazzi, Maurizio %A Sonnerborg, Anders %A Struck, Daniel %A Altmann, Andr&#233; %A Kaiser, Rolf %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Efficacy of Antiretroviral Therapy Switch in HIV-Infected Patients: A 10- year Analysis of the EuResist Cohort : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-B9D5-B %R 10.1159/000332018 %F OTHER: 5613A3DB7C931FE5C1257B2B002C05D6-Oette2012b %7 2012-01-24 %D 2012 %J Intervirology %V 55 %N 2 %& 160 %P 160 - 166 %I Karger %C Basel
447. Pauling J, Röttger R, Neuner A, Salgado H, Collado-Vides J, Kalaghatgi P, Azevedo V, Tauch A, Pühler A, Baumbach J: On the Trail of EHEC/EAEC-unraveling the Gene Regulatory Networks of Human Pathogenic Escherichia Coli Bacteria. Integrative Biology Quantitative Biosciences from Nano to Macro 2012.
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@article{Pauling2012, TITLE = {On the Trail of {EHEC/EAEC}-unraveling the Gene Regulatory Networks of Human Pathogenic {E}scherichia Coli Bacteria}, AUTHOR = {Pauling, Josch and R{\"o}ttger, Richard and Neuner, Andreas and Salgado, Heladia and Collado-Vides, Julio and Kalaghatgi, Prabhav and Azevedo, Vasco and Tauch, Andreas and P{\"u}hler, Alfred and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1757-9708}, DOI = {10.1039/c2ib00132b}, PUBLISHER = {Royal Society of Chemistry}, ADDRESS = {[s.l.]}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Integrative Biology Quantitative Biosciences from Nano to Macro}, }
Endnote
%0 Journal Article %A Pauling, Josch %A R&#246;ttger, Richard %A Neuner, Andreas %A Salgado, Heladia %A Collado-Vides, Julio %A Kalaghatgi, Prabhav %A Azevedo, Vasco %A Tauch, Andreas %A P&#252;hler, Alfred %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Trail of EHEC/EAEC-unraveling the Gene Regulatory Networks of Human Pathogenic Escherichia Coli Bacteria : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0024-6F2A-2 %R 10.1039/c2ib00132b %7 2012 %D 2012 %J Integrative Biology Quantitative Biosciences from Nano to Macro %I Royal Society of Chemistry %C [s.l.] %@ false
448. Pauling J, Röttger R, Neuner A, Salgado H, Collado-Vides J, Kalaghatgi P, Azevedo V, Tauch A, Pühler A, Baumbach J: On the Trail of EHEC/EAEC - Unraveling the Gene Regulatory Networks of Human Pathogenic Escherichia Coli Bacteria. Integrative Biology 2012, 4.
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@article{pauling2012ehec, TITLE = {On the Trail of {EHEC/EAEC} -- Unraveling the Gene Regulatory Networks of Human Pathogenic Escherichia Coli Bacteria}, AUTHOR = {Pauling, Josch and R{\"o}ttger, Richard and Neuner, Andreas and Salgado, Heladia and Collado-Vides, Julio and Kalaghatgi, Prabhav and Azevedo, Vasco and Tauch, Andreas and P{\"u}hler, Alfred and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1757-9694; 1757-9708}, DOI = {10.1039/C2IB00132B}, LOCALID = {Local-ID: D4E287F7DF52A961C1257AEE005DA3EB-pauling2012ehec}, PUBLISHER = {Royal Society of Chemistry}, ADDRESS = {London}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Integrative Biology}, VOLUME = {4}, NUMBER = {7}, PAGES = {728--733}, }
Endnote
%0 Journal Article %A Pauling, Josch %A R&#246;ttger, Richard %A Neuner, Andreas %A Salgado, Heladia %A Collado-Vides, Julio %A Kalaghatgi, Prabhav %A Azevedo, Vasco %A Tauch, Andreas %A P&#252;hler, Alfred %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Trail of EHEC/EAEC - Unraveling the Gene Regulatory Networks of Human Pathogenic Escherichia Coli Bacteria : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BB53-0 %R 10.1039/C2IB00132B %F OTHER: Local-ID: D4E287F7DF52A961C1257AEE005DA3EB-pauling2012ehec %7 2012-02-09 %D 2012 %J Integrative Biology %V 4 %N 7 %& 728 %P 728 - 733 %I Royal Society of Chemistry %C London %@ false
449. Pauling J, Röttger R, Tauch A, Azevedo V, Baumbach J: CoryneRegNet 6.0 - Updated Database Content, New Analysis Methods and Novel Features Focusing on Community Demands. Nucleic Acids Research 2012, 40(Database issue).
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@article{pauling2012coryneregnet, TITLE = {{CoryneRegNet 6.0} -- Updated Database Content, New Analysis Methods and Novel Features Focusing on Community Demands}, AUTHOR = {Pauling, Josch and R{\"o}ttger, Richard and Tauch, Andreas and Azevedo, Vasco and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkr883}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Nucleic Acids Research}, VOLUME = {40}, NUMBER = {Database issue}, PAGES = {D610--D614}, }
Endnote
%0 Journal Article %A Pauling, Josch %A R&#246;ttger, Richard %A Tauch, Andreas %A Azevedo, Vasco %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T CoryneRegNet 6.0 - Updated Database Content, New Analysis Methods and Novel Features Focusing on Community Demands : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F655-8 %R 10.1093/nar/gkr883 %7 2011-11-12 %D 2012 %J Nucleic Acids Research %V 40 %N Database issue %& D610 %P D610 - D614 %I Oxford University Press %C Oxford %@ false
450. Pfeifer N, Lengauer T: Improving HIV Coreceptor Usage Prediction in the Clinic Using hints from Next-generation Sequencing Data. Bioinformatics 2012, 28.
Abstract
\sectionMotivation:}<br>Due to the high mutation rate of HIV, drug resistant variants emerge <br>frequently. Therefore, researchers are constantly searching for new ways to <br>attack the virus. One new class of anti-HIV drugs is the class of coreceptor <br>antagonists that block cell entry by occupying a coreceptor on CD4 cells. This <br>type of drug just has an effect on the subset of HIVs that use the inhibited <br>coreceptor. A good prediction of whether the viral population inside a patient <br>is susceptible to the treatment is hence very important for therapy decisions <br>and prerequisite to administering the respective drug. The first prediction <br>models were based on data from Sanger sequencing of the V3 loop of HIV. <br>Recently, a method based on next generation sequencing (NGS) data was <br>introduced that predicts labels for each read separately and decides on the <br>patient label via a percentage threshold for the resistant viral minority.<br><br>\section{Results:}<br>We model the prediction problem on the patient level taking the information of <br>all reads from NGS data jointly into account. This enables us to improve <br>prediction performance for NGS data, but we can also use the trained model to <br>improve predictions based on Sanger sequencing data. Therefore, also <br>laboratories without next generation sequencing capabilities can benefit from <br>the improvements. Furthermore, we show which amino acids at which position are <br>important for prediction success, giving clues on how the interaction mechanism <br>between the V3 loop and the particular coreceptors might be influenced.<br><br>\section{Availability:}<br>A webserver is available at http://coreceptor.bioinf.mpi-inf.mpg.de.<br>\href{http://coreceptor.bioinf.mpi-inf.mpg.de/}{<br>http://coreceptor.bioinf.mpi-inf.mpg.de/}. <br><br>\section{Contact:} <br>\href{nico.pfeifer@mpi-inf.mpg.de}{nico.pfeifer@mpi-inf.mpg.de
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@article{Pfeifer2012, TITLE = {Improving {HIV} Coreceptor Usage Prediction in the Clinic Using hints from Next-generation Sequencing Data}, AUTHOR = {Pfeifer, Nico and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bts373}, LOCALID = {Local-ID: 571D6E055BF61874C1257AD200550B98-Pfeifer2012}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {\sectionMotivation:}<br>Due to the high mutation rate of HIV, drug resistant variants emerge <br>frequently. Therefore, researchers are constantly searching for new ways to <br>attack the virus. One new class of anti-HIV drugs is the class of coreceptor <br>antagonists that block cell entry by occupying a coreceptor on CD4 cells. This <br>type of drug just has an effect on the subset of HIVs that use the inhibited <br>coreceptor. A good prediction of whether the viral population inside a patient <br>is susceptible to the treatment is hence very important for therapy decisions <br>and prerequisite to administering the respective drug. The first prediction <br>models were based on data from Sanger sequencing of the V3 loop of HIV. <br>Recently, a method based on next generation sequencing (NGS) data was <br>introduced that predicts labels for each read separately and decides on the <br>patient label via a percentage threshold for the resistant viral minority.<br><br>\section{Results:}<br>We model the prediction problem on the patient level taking the information of <br>all reads from NGS data jointly into account. This enables us to improve <br>prediction performance for NGS data, but we can also use the trained model to <br>improve predictions based on Sanger sequencing data. Therefore, also <br>laboratories without next generation sequencing capabilities can benefit from <br>the improvements. Furthermore, we show which amino acids at which position are <br>important for prediction success, giving clues on how the interaction mechanism <br>between the V3 loop and the particular coreceptors might be influenced.<br><br>\section{Availability:}<br>A webserver is available at http://coreceptor.bioinf.mpi-inf.mpg.de.<br>\href{http://coreceptor.bioinf.mpi-inf.mpg.de/}{<br>http://coreceptor.bioinf.mpi-inf.mpg.de/}. <br><br>\section{Contact:} <br>\href{nico.pfeifer@mpi-inf.mpg.de}{nico.pfeifer@mpi-inf.mpg.de}, JOURNAL = {Bioinformatics}, VOLUME = {28}, NUMBER = {18}, PAGES = {i589--i595}, JOURNAL = {ECCB 2012 Proceedings Papers Committee}, }
Endnote
%0 Journal Article %A Pfeifer, Nico %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improving HIV Coreceptor Usage Prediction in the Clinic Using hints from Next-generation Sequencing Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C574-8 %R 10.1093/bioinformatics/bts373 %2 PMC3436800 %F OTHER: Local-ID: 571D6E055BF61874C1257AD200550B98-Pfeifer2012 %7 2012-09-03 %D 2012 %X \sectionMotivation:}<br>Due to the high mutation rate of HIV, drug resistant variants emerge <br>frequently. Therefore, researchers are constantly searching for new ways to <br>attack the virus. One new class of anti-HIV drugs is the class of coreceptor <br>antagonists that block cell entry by occupying a coreceptor on CD4 cells. This <br>type of drug just has an effect on the subset of HIVs that use the inhibited <br>coreceptor. A good prediction of whether the viral population inside a patient <br>is susceptible to the treatment is hence very important for therapy decisions <br>and prerequisite to administering the respective drug. The first prediction <br>models were based on data from Sanger sequencing of the V3 loop of HIV. <br>Recently, a method based on next generation sequencing (NGS) data was <br>introduced that predicts labels for each read separately and decides on the <br>patient label via a percentage threshold for the resistant viral minority.<br><br>\section{Results:}<br>We model the prediction problem on the patient level taking the information of <br>all reads from NGS data jointly into account. This enables us to improve <br>prediction performance for NGS data, but we can also use the trained model to <br>improve predictions based on Sanger sequencing data. Therefore, also <br>laboratories without next generation sequencing capabilities can benefit from <br>the improvements. Furthermore, we show which amino acids at which position are <br>important for prediction success, giving clues on how the interaction mechanism <br>between the V3 loop and the particular coreceptors might be influenced.<br><br>\section{Availability:}<br>A webserver is available at http://coreceptor.bioinf.mpi-inf.mpg.de.<br>\href{http://coreceptor.bioinf.mpi-inf.mpg.de/}{<br>http://coreceptor.bioinf.mpi-inf.mpg.de/}. <br><br>\section{Contact:} <br>\href{nico.pfeifer@mpi-inf.mpg.de}{nico.pfeifer@mpi-inf.mpg.de %J Bioinformatics %V 28 %N 18 %& i589 %P i589 - i595 %I Oxford University Press %C Oxford %@ false %B ECCB 2012 Proceedings Papers Committee %O September 9 to September 12, 2012, Conference Center Basel, Switzerland %U https://doi.org/10.1093/bioinformatics/bts373
451. Pironti A, Lengauer T, Kaiser R, Schülter E, Verheyen J: Characterization of HIV-1 Gag Subtype C. Abstract Book 9th Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance 2012. [Reviews in Antiviral Therapy, vol. 2]
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@inproceedings{Pironti2012, TITLE = {Characterization of {HIV}-1 Gag Subtype C}, AUTHOR = {Pironti, Alejandro and Lengauer, Thomas and Kaiser, Rolf and Sch{\"u}lter, Eugen and Verheyen, Jens}, LANGUAGE = {eng}, LOCALID = {Local-ID: AA332AAA18D26319C1257AD9003E4FD3-Pironti2012}, PUBLISHER = {Virology Education}, YEAR = {2011}, DATE = {2012}, BOOKTITLE = {Abstract Book. 9th Workshop on HIV \& Hepatitis Treatment Strategies \& Antiviral Drug Resistance}, PAGES = {40--41}, SERIES = {Reviews in Antiviral Therapy}, VOLUME = {2}, ADDRESS = {Paphos, Cyprus}, }
Endnote
%0 Generic %A Pironti, Alejandro %A Lengauer, Thomas %A Kaiser, Rolf %A Sch&#252;lter, Eugen %A Verheyen, Jens %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Characterization of HIV-1 Gag Subtype C : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C527-3 %F OTHER: Local-ID: AA332AAA18D26319C1257AD9003E4FD3-Pironti2012 %D 2012 %Z name of event: 9th Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance %Z date of event: 2011-03-23 - 2011-03-25 %Z place of event: Paphos, Cyprus %B Abstract Book. 9th Workshop on HIV & Hepatitis Treatment Strategies & Antiviral Drug Resistance %P 40 - 41 %B Reviews in Antiviral Therapy %N 2
452. Ramirez F, Lawyer G, Albrecht M: Novel Search Method for the Discovery of Functional Relationships. Bioinformatics 2012, 28.
Abstract
MOTIVATION: Numerous annotations are available that functionally characterize genes and proteins with regard to molecular process, cellular localization, tissue expression, protein domain composition, protein interaction, disease association and other properties. Searching this steadily growing amount of information can lead to the discovery of new biological relationships between genes and proteins. To facilitate the searches, methods are required that measure the annotation similarity of genes and proteins. However, most current similarity methods are focused only on annotations from the Gene Ontology (GO) and do not take other annotation sources into account. RESULTS: We introduce the new method BioSim that incorporates multiple sources of annotations to quantify the functional similarity of genes and proteins. We compared the performance of our method with four other well-known methods adapted to use multiple annotation sources. We evaluated the methods by searching for known functional relationships using annotations based only on GO or on our large data warehouse BioMyn. This warehouse integrates many diverse annotation sources of human genes and proteins. We observed that the search performance improved substantially for almost all methods when multiple annotation sources were included. In particular, our method outperformed the other methods in terms of recall and average precision.
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@article{Albrecht2012b, TITLE = {Novel Search Method for the Discovery of Functional Relationships}, AUTHOR = {Ramirez, Fidel and Lawyer, Glenn and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4811; 1367-4803}, DOI = {10.1093/bioinformatics/btr631}, LOCALID = {Local-ID: 613960877D2427AAC125799500448623-Albrecht2012b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {MOTIVATION: Numerous annotations are available that functionally characterize genes and proteins with regard to molecular process, cellular localization, tissue expression, protein domain composition, protein interaction, disease association and other properties. Searching this steadily growing amount of information can lead to the discovery of new biological relationships between genes and proteins. To facilitate the searches, methods are required that measure the annotation similarity of genes and proteins. However, most current similarity methods are focused only on annotations from the Gene Ontology (GO) and do not take other annotation sources into account. RESULTS: We introduce the new method BioSim that incorporates multiple sources of annotations to quantify the functional similarity of genes and proteins. We compared the performance of our method with four other well-known methods adapted to use multiple annotation sources. We evaluated the methods by searching for known functional relationships using annotations based only on GO or on our large data warehouse BioMyn. This warehouse integrates many diverse annotation sources of human genes and proteins. We observed that the search performance improved substantially for almost all methods when multiple annotation sources were included. In particular, our method outperformed the other methods in terms of recall and average precision.}, JOURNAL = {Bioinformatics}, VOLUME = {28}, NUMBER = {2}, PAGES = {269--276}, }
Endnote
%0 Journal Article %A Ramirez, Fidel %A Lawyer, Glenn %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Novel Search Method for the Discovery of Functional Relationships : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C810-0 %2 PMC3259435 %R 10.1093/bioinformatics/btr631 %F OTHER: Local-ID: 613960877D2427AAC125799500448623-Albrecht2012b %7 2011-12-16 %D 2012 %X MOTIVATION: Numerous annotations are available that functionally characterize genes and proteins with regard to molecular process, cellular localization, tissue expression, protein domain composition, protein interaction, disease association and other properties. Searching this steadily growing amount of information can lead to the discovery of new biological relationships between genes and proteins. To facilitate the searches, methods are required that measure the annotation similarity of genes and proteins. However, most current similarity methods are focused only on annotations from the Gene Ontology (GO) and do not take other annotation sources into account. RESULTS: We introduce the new method BioSim that incorporates multiple sources of annotations to quantify the functional similarity of genes and proteins. We compared the performance of our method with four other well-known methods adapted to use multiple annotation sources. We evaluated the methods by searching for known functional relationships using annotations based only on GO or on our large data warehouse BioMyn. This warehouse integrates many diverse annotation sources of human genes and proteins. We observed that the search performance improved substantially for almost all methods when multiple annotation sources were included. In particular, our method outperformed the other methods in terms of recall and average precision. %K *Algorithms Computational Biology/*methods Databases, Genetic *Genes Humans Internet Molecular Sequence Annotation Proteins/genetics/*physiology Vocabulary, Controlled %J Bioinformatics %O Bioinformatics %V 28 %N 2 %& 269 %P 269 - 276 %I Oxford University Press %C Oxford, UK %@ false
453. Ramirez F: Novel Approaches to the Integration and Analysis of Systems Biology. Universität des Saarlandes; 2012.
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@phdthesis{Ramirez2012th, TITLE = {Novel Approaches to the Integration and Analysis of Systems Biology}, AUTHOR = {Ramirez, Fidel}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-48554}, DOI = {10.22028/D291-22792}, LOCALID = {Local-ID: EAA85644FD5EB9F8C1257B2800408A00-Ramirez2012th}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Ramirez, Fidel %Y Lengauer, Thomas %A referee: Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Novel Approaches to the Integration and Analysis of Systems Biology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-B9E2-D %U urn:nbn:de:bsz:291-scidok-48554 %F OTHER: Local-ID: EAA85644FD5EB9F8C1257B2800408A00-Ramirez2012th %R 10.22028/D291-22792 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %P XVIII, 176 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2012/4855/pdf/thesis.pdfhttp://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php
454. Reppas A, Lawyer G: Low K-shells Identify Bridge Elements Critical to Disease Flow in Small-world Networks. In Numerical Analysis and Applied Mathematics (ICNAAM 2012). AIP; 2012. [AIP Conference Proceedings, vol. 1479,B]
Abstract
Targeted vaccination of individuals with high degree or centrality has been shown to be an effective strategy in scale-free networks. Small-world networks, however, are characterized by homogenous degree and centrality distributions, making it less obvious which individuals should be targeted. Under the assumption that nodes with low k-shell index serve as bridge elements, we confirm via simulation that an acquaintance-based vaccination strategy based on low k-shell individuals can efficiently control disease in small world networks.
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@inproceedings{Reppas2012, TITLE = {Low K-shells Identify Bridge Elements Critical to Disease Flow in Small-world Networks}, AUTHOR = {Reppas, Andreas and Lawyer, Glenn}, LANGUAGE = {eng}, ISBN = {978-0-7354-1090-9}, DOI = {10.1063/1.4756427}, LOCALID = {Local-ID: 8D72D66056E847E1C1257AD20057F4F6-Reppas2012}, PUBLISHER = {AIP}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Targeted vaccination of individuals with high degree or centrality has been shown to be an effective strategy in scale-free networks. Small-world networks, however, are characterized by homogenous degree and centrality distributions, making it less obvious which individuals should be targeted. Under the assumption that nodes with low k-shell index serve as bridge elements, we confirm via simulation that an acquaintance-based vaccination strategy based on low k-shell individuals can efficiently control disease in small world networks.}, BOOKTITLE = {Numerical Analysis and Applied Mathematics (ICNAAM 2012)}, EDITOR = {Simos, Theodore and Psihoyios, George and Tsitouras, Charalampos and Anastassi, Zacharias}, PAGES = {1426--1429}, SERIES = {AIP Conference Proceedings}, VOLUME = {1479,B}, ADDRESS = {Kos, Greece}, }
Endnote
%0 Conference Proceedings %A Reppas, Andreas %A Lawyer, Glenn %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Low K-shells Identify Bridge Elements Critical to Disease Flow in Small-world Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C56F-5 %R 10.1063/1.4756427 %F OTHER: Local-ID: 8D72D66056E847E1C1257AD20057F4F6-Reppas2012 %D 2012 %B 10th International Conference of Numerical Analysis and Applied Mathematics %Z date of event: 2012-09-19 - 2012-09-25 %C Kos, Greece %X Targeted vaccination of individuals with high degree or centrality has been shown to be an effective strategy in scale-free networks. Small-world networks, however, are characterized by homogenous degree and centrality distributions, making it less obvious which individuals should be targeted. Under the assumption that nodes with low k-shell index serve as bridge elements, we confirm via simulation that an acquaintance-based vaccination strategy based on low k-shell individuals can efficiently control disease in small world networks. %B Numerical Analysis and Applied Mathematics %E Simos, Theodore; Psihoyios, George; Tsitouras, Charalampos; Anastassi, Zacharias %P 1426 - 1429 %I AIP %@ 978-0-7354-1090-9 %B AIP Conference Proceedings %N 1479,B
455. Reuter S, Oette M, Kaiser R, Lengauer T, Fätkenheuer G, Rockstroh J, Knechten H, Häussinger D: Risk Factors Associated with Older Age in Treatment-naive HIV-positive Patients. Intervirology 2012, 55.
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@article{Reuter2012a, TITLE = {Risk Factors Associated with Older Age in Treatment-naive {HIV}-positive Patients}, AUTHOR = {Reuter, Stefan and Oette, Mark and Kaiser, Rolf and Lengauer, Thomas and F{\"a}tkenheuer, Gerd and Rockstroh, J{\"u}rgen and Knechten, Heribert and H{\"a}ussinger, Dieter}, LANGUAGE = {eng}, DOI = {10.1159/000332014}, LOCALID = {Local-ID: E769C90B1CAF142AC1257B12004229FB-Reuter2012a}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Intervirology}, VOLUME = {55}, NUMBER = {2}, PAGES = {147--153}, }
Endnote
%0 Journal Article %A Reuter, Stefan %A Oette, Mark %A Kaiser, Rolf %A Lengauer, Thomas %A F&#228;tkenheuer, Gerd %A Rockstroh, J&#252;rgen %A Knechten, Heribert %A H&#228;ussinger, Dieter %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Risk Factors Associated with Older Age in Treatment-naive HIV-positive Patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BABF-8 %R 10.1159/000332014 %F OTHER: Local-ID: E769C90B1CAF142AC1257B12004229FB-Reuter2012a %D 2012 %J Intervirology %V 55 %N 2 %& 147 %P 147 - 153 %I Karger %C Basel
456. Rost B, Gaasterland T, Lengauer T, Linial M, Markel S, Morrison McKay BJ, Schneider R, Horton P, Kelso J: Paving the Future: Finding Suitable ISMB Venues. Bioinformatics 2012, 28.
Abstract
The International Society for Computational Biology, ISCB, organizes the largest event in the field of computational biology and bioinformatics, namely the annual international conference on Intelligent Systems for Molecular Biology, the ISMB. This year at ISMB 2012 in Long Beach, ISCB celebrated the 20th anniversary of its flagship meeting. ISCB is a young, lean and efficient society that aspires to make a significant impact with only limited resources. Many constraints make the choice of venues for ISMB a tough challenge. Here, we describe those challenges and invite the contribution of ideas for solutions.
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@article{Rost2012, TITLE = {Paving the Future: Finding Suitable {ISMB} Venues}, AUTHOR = {Rost, Burkhard and Gaasterland, Terry and Lengauer, Thomas and Linial, Michal and Markel, Scott and Morrison McKay, B. J. and Schneider, Reinhard and Horton, Paul and Kelso, Janet}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bts420}, LOCALID = {Local-ID: 0B19F06C7EFC81EDC1257B2B00360173-Rost2012}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {The International Society for Computational Biology, ISCB, organizes the largest event in the field of computational biology and bioinformatics, namely the annual international conference on Intelligent Systems for Molecular Biology, the ISMB. This year at ISMB 2012 in Long Beach, ISCB celebrated the 20th anniversary of its flagship meeting. ISCB is a young, lean and efficient society that aspires to make a significant impact with only limited resources. Many constraints make the choice of venues for ISMB a tough challenge. Here, we describe those challenges and invite the contribution of ideas for solutions.}, JOURNAL = {Bioinformatics}, VOLUME = {28}, NUMBER = {19}, PAGES = {2556--2559}, }
Endnote
%0 Journal Article %A Rost, Burkhard %A Gaasterland, Terry %A Lengauer, Thomas %A Linial, Michal %A Markel, Scott %A Morrison McKay, B. J. %A Schneider, Reinhard %A Horton, Paul %A Kelso, Janet %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Paving the Future: Finding Suitable ISMB Venues : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C7FC-8 %2 PMC3463122 %R 10.1093/bioinformatics/bts420 %F OTHER: Local-ID: 0B19F06C7EFC81EDC1257B2B00360173-Rost2012 %7 2012-07-13 %D 2012 %X The International Society for Computational Biology, ISCB, organizes the largest event in the field of computational biology and bioinformatics, namely the annual international conference on Intelligent Systems for Molecular Biology, the ISMB. This year at ISMB 2012 in Long Beach, ISCB celebrated the 20th anniversary of its flagship meeting. ISCB is a young, lean and efficient society that aspires to make a significant impact with only limited resources. Many constraints make the choice of venues for ISMB a tough challenge. Here, we describe those challenges and invite the contribution of ideas for solutions. %K *Computational Biology Congresses as Topic/*organization & administration *Molecular Biology %J Bioinformatics %V 28 %N 19 %& 2556 %P 2556 - 2559 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/bts420
457. Röttger R, Kreutzer C, Duong Vu T, Wittkop T, Baumbach J: Online Transitivity Clustering of Biological Data with Missing Values. In German Conference on Bioinformatics 2012. Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH; 2012. [OpenAccess Series in Informatics (OASIcs), vol. 26]
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@inproceedings{roettger2012online, TITLE = {Online Transitivity Clustering of Biological Data with Missing Values}, AUTHOR = {R{\"o}ttger, Richard and Kreutzer, Christoph and Duong Vu, Thuy and Wittkop, Tobias and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {2190-6807}, ISBN = {978-3-939897-44-6}, URL = {urn:nbn:de:0030-drops-37189}, DOI = {10.4230/OASIcs.GCB.2012.57}, LOCALID = {Local-ID: 8B0818D13EECA759C1257AEE005CA8F6-roettger2012online}, PUBLISHER = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik GmbH}, YEAR = {2012}, BOOKTITLE = {German Conference on Bioinformatics 2012}, DEBUG = {author: Schuster, Stefan}, EDITOR = {B{\"o}cker, Sebastian and Hufsky, Franziska and Scheubert, Kerstin and Schleicher, Jana}, PAGES = {57--68}, SERIES = {OpenAccess Series in Informatics (OASIcs)}, VOLUME = {26}, ADDRESS = {Jena, Germany}, }
Endnote
%0 Conference Proceedings %A R&#246;ttger, Richard %A Kreutzer, Christoph %A Duong Vu, Thuy %A Wittkop, Tobias %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Online Transitivity Clustering of Biological Data with Missing Values : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-D211-C %F OTHER: Local-ID: 8B0818D13EECA759C1257AEE005CA8F6-roettger2012online %U urn:nbn:de:0030-drops-37189 %R 10.4230/OASIcs.GCB.2012.57 %D 2012 %B German Conference on Bioinformatics %Z date of event: 2012-09-19 - 2012-09-22 %C Jena, Germany %B German Conference on Bioinformatics 2012 %E B&#246;cker, Sebastian; Hufsky, Franziska; Scheubert, Kerstin; Schleicher, Jana; Schuster, Stefan %P 57 - 68 %I Schloss Dagstuhl &#8211; Leibniz-Zentrum f&#252;r Informatik GmbH %@ 978-3-939897-44-6 %B OpenAccess Series in Informatics (OASIcs) %N 26 %@ false %U http://drops.dagstuhl.de/opus/volltexte/2012/3718/
458. Röttger R, Ruckert U, Taubert J, Baumbach J: How Little Do We Actually Know? On the Size of Gene Regulatory Networks. IEEE/ACM transactions on computational biology and bioinformatics 2012, 9.
Abstract
The National Center for Biotechnology Information (NCBI) recently announced the availability of whole genome sequences for more than 1,000 species. And the number of sequenced individual organisms is growing. Ongoing improvement of DNA sequencing technology will further contribute to this, enabling large-scale evolution and population genetics studies. However, the availability of sequence information is only the first step in understanding how cells survive, reproduce, and adjust their behavior. The genetic control behind organized development and adaptation of complex organisms still remains widely undetermined. One major molecular control mechanism is transcriptional gene regulation. The direct juxtaposition of the total number of sequenced species to the handful of model organisms with known regulations is surprising. Here, we investigate how little we even know about these model organisms. We aim to predict the sizes of the whole-organism regulatory networks of seven species. In particular, we provide statistical lower bounds for the expected number of regulations. For Escherichia coli we estimate at most 37 percent of the expected gene regulatory interactions to be already discovered, 24 percent for Bacillus subtilis, and <3% human, respectively. We conclude that even for our best researched model organisms we still lack substantial understanding of fundamental molecular control mechanisms, at least on a large scale.
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@article{roettger2012little, TITLE = {How Little Do We Actually Know? {On} the Size of Gene Regulatory Networks}, AUTHOR = {R{\"o}ttger, Richard and Ruckert, Ulrich and Taubert, Jan and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1557-9964; 1545-5963}, DOI = {10.1109/TCBB.2012.71}, LOCALID = {Local-ID: 6E2B3F5B32E19662C1257AEE005BED4E-roettger2012little}, PUBLISHER = {IEEE}, ADDRESS = {Piscataway, NJ}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {The National Center for Biotechnology Information (NCBI) recently announced the availability of whole genome sequences for more than 1,000 species. And the number of sequenced individual organisms is growing. Ongoing improvement of DNA sequencing technology will further contribute to this, enabling large-scale evolution and population genetics studies. However, the availability of sequence information is only the first step in understanding how cells survive, reproduce, and adjust their behavior. The genetic control behind organized development and adaptation of complex organisms still remains widely undetermined. One major molecular control mechanism is transcriptional gene regulation. The direct juxtaposition of the total number of sequenced species to the handful of model organisms with known regulations is surprising. Here, we investigate how little we even know about these model organisms. We aim to predict the sizes of the whole-organism regulatory networks of seven species. In particular, we provide statistical lower bounds for the expected number of regulations. For Escherichia coli we estimate at most 37 percent of the expected gene regulatory interactions to be already discovered, 24 percent for Bacillus subtilis, and <3% human, respectively. We conclude that even for our best researched model organisms we still lack substantial understanding of fundamental molecular control mechanisms, at least on a large scale.}, JOURNAL = {IEEE/ACM transactions on computational biology and bioinformatics}, VOLUME = {9}, NUMBER = {5}, PAGES = {1293--1300}, }
Endnote
%0 Journal Article %A R&#246;ttger, Richard %A Ruckert, Ulrich %A Taubert, Jan %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T How Little Do We Actually Know? On the Size of Gene Regulatory Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C7E2-D %R 10.1109/TCBB.2012.71 %F OTHER: Local-ID: 6E2B3F5B32E19662C1257AEE005BED4E-roettger2012little %7 2012-05-09 %D 2012 %X The National Center for Biotechnology Information (NCBI) recently announced the availability of whole genome sequences for more than 1,000 species. And the number of sequenced individual organisms is growing. Ongoing improvement of DNA sequencing technology will further contribute to this, enabling large-scale evolution and population genetics studies. However, the availability of sequence information is only the first step in understanding how cells survive, reproduce, and adjust their behavior. The genetic control behind organized development and adaptation of complex organisms still remains widely undetermined. One major molecular control mechanism is transcriptional gene regulation. The direct juxtaposition of the total number of sequenced species to the handful of model organisms with known regulations is surprising. Here, we investigate how little we even know about these model organisms. We aim to predict the sizes of the whole-organism regulatory networks of seven species. In particular, we provide statistical lower bounds for the expected number of regulations. For Escherichia coli we estimate at most 37 percent of the expected gene regulatory interactions to be already discovered, 24 percent for Bacillus subtilis, and <3% human, respectively. We conclude that even for our best researched model organisms we still lack substantial understanding of fundamental molecular control mechanisms, at least on a large scale. %K Bacillus subtilis/genetics/metabolism Computational Biology/*methods Escherichia coli/genetics/metabolism Gene Expression Regulation *Gene Regulatory Networks Humans %J IEEE/ACM transactions on computational biology and bioinformatics %O IEEE/ACM Trans Comput Biol Bioinform %V 9 %N 5 %& 1293 %P 1293 - 1300 %I IEEE %C Piscataway, NJ %@ false
459. Schuelter E, Lübcke N, Jensen B, Zazzi M, Sönnerborg A, Lengauer T, Incardona F, Camacho R, Schmit J, Clotet B, Kaiser R, Pironti A: Etravirine in Protease Inhibitor-Free Antiretroviral Combination Therapies. Journal of the International AIDS Society 2012(Supplement 4).
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@inproceedings{Pironti2012hiv12c, TITLE = {Etravirine in Protease Inhibitor-Free Antiretroviral Combination Therapies}, AUTHOR = {Schuelter, Eugen and L{\"u}bcke, Nadine and Jensen, Bj{\"o}rn and Zazzi, Maurizio and S{\"o}nnerborg, Anders and Lengauer, Thomas and Incardona, Francesca and Camacho, Richardo and Schmit, J. and Clotet, Bonaventura and Kaiser, Rolf and Pironti, Alejandro}, LANGUAGE = {eng}, DOI = {10.7448/IAS.15.6.18260}, LOCALID = {Local-ID: 61F0C6C7994482BDC1257AD900443CDF-Pironti2012hiv12c}, PUBLISHER = {International AIDS Society}, PUBLISHER = {International AIDS Society}, YEAR = {2012}, BOOKTITLE = {Abstracts of the Eleventh International Congress on Drug Therapy in HIV Infection}, EDITOR = {Kippax, Susan and Salif Sow, Papa and Wainberg, Mark and Heidari, Shirin}, PAGES = {155--156}, EID = {18260}, JOURNAL = {Journal of the International AIDS Society}, VOLUME = {15}, ISSUE = {Supplement 4}, PAGES = {155--156}, EID = {18260}, ADDRESS = {Glasgow, UK}, }
Endnote
%0 Generic %A Schuelter, Eugen %A L&#252;bcke, Nadine %A Jensen, Bj&#246;rn %A Zazzi, Maurizio %A S&#246;nnerborg, Anders %A Lengauer, Thomas %A Incardona, Francesca %A Camacho, Richardo %A Schmit, J. %A Clotet, Bonaventura %A Kaiser, Rolf %A Pironti, Alejandro %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Etravirine in Protease Inhibitor-Free Antiretroviral Combination Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BE06-A %F OTHER: Local-ID: 61F0C6C7994482BDC1257AD900443CDF-Pironti2012hiv12c %R 10.7448/IAS.15.6.18260 %D 2012 %8 11.11.2012 %Z name of event: HIV Drug Therapy 2012 %Z date of event: 2012-11-11 - 2012-11-15 %Z place of event: Glasgow, UK %B Abstracts of the Eleventh International Congress on Drug Therapy in HIV Infection %E Kippax, Susan; Salif Sow, Papa; Wainberg, Mark; Heidari, Shirin %P 155 - 156 %Z sequence number: 18260 %J Journal of the International AIDS Society %V 15 %N Supplement 4 %P 155 - 156 %Z sequence number: 18260 %U http://dx.doi.org/10.7448/IAS.15.6.18260
460. Setty Y: Multi-scale Computational Modeling of Developmental Biology. Bioinformatics 2012, 28.
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@article{Settyr2012, TITLE = {}, AUTHOR = {Setty, Yaki}, LANGUAGE = {eng}, DOI = {10.1093/bioinformatics/bts307}, LOCALID = {Local-ID: 4705DA38799626B7C1257B120042D4E5-Settyr2012}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Bioinformatics}, VOLUME = {28}, NUMBER = {15}, PAGES = {2022--2028}, }
Endnote
%0 Journal Article %A Setty, Yaki %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Multi-scale Computational Modeling of Developmental Biology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-BAA8-9 %R 10.1093/bioinformatics/bts307 %F OTHER: Local-ID: 4705DA38799626B7C1257B120042D4E5-Settyr2012 %7 2012-05-24 %D 2012 %J Bioinformatics %V 28 %N 15 %& 2022 %P 2022 - 2028 %I Oxford University Press %C Oxford
461. Sierra S, Dzbowski JN, Pironti A, Gueney L, Thielen A, Reuter S, Esser S, Fätkenheuer G, Lengauer T, Hider D, Hoffmann D, Pfister H, Jensen B, Kaiser R: Optimisation of Baseline Genotypic Testing for Safe and Efficient Maraviroc Administration. Journal of the International AIDS Society 2012(Supplement 4).
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@inproceedings{Pironti2012hiv12a, TITLE = {Optimisation of Baseline Genotypic Testing for Safe and Efficient Maraviroc Administration}, AUTHOR = {Sierra, Saleta and Dzbowski, Jan Nikolaj and Pironti, Alejandro and Gueney, L. and Thielen, Alexander and Reuter, Stefan and Esser, Stefan and F{\"a}tkenheuer, Gerd and Lengauer, Thomas and Hider, Dominik and Hoffmann, Daniel and Pfister, Holger and Jensen, Bj{\"o}rn and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1758-2652; 1758-2652}, DOI = {10.7448/IAS.15.6.18134}, LOCALID = {Local-ID: B0A9FF87C127C0F3C1257AD90042B771-Pironti2012hiv12a}, PUBLISHER = {International AIDS Society}, YEAR = {2012}, BOOKTITLE = {Abstracts of the Eleventh International Congress on Drug Therapy in HIV Infection}, EDITOR = {Kippax, Susan and Salif Sow, Papa and Wainberg, Mark and Heidari, Shirin}, EID = {18134}, JOURNAL = {Journal of the International AIDS Society}, VOLUME = {15}, ISSUE = {Supplement 4}, EID = {18134}, ADDRESS = {Glasgow, UK}, }
Endnote
%0 Generic %A Sierra, Saleta %A Dzbowski, Jan Nikolaj %A Pironti, Alejandro %A Gueney, L. %A Thielen, Alexander %A Reuter, Stefan %A Esser, Stefan %A F&#228;tkenheuer, Gerd %A Lengauer, Thomas %A Hider, Dominik %A Hoffmann, Daniel %A Pfister, Holger %A Jensen, Bj&#246;rn %A Kaiser, Rolf %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T Optimisation of Baseline Genotypic Testing for Safe and Efficient Maraviroc Administration : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C50A-5 %R 10.7448/IAS.15.6.18134 %F OTHER: Local-ID: B0A9FF87C127C0F3C1257AD90042B771-Pironti2012hiv12a %D 2012 %8 11.11.2012 %Z name of event: HIV Drug Therapy 2012 %Z date of event: 2012-11-11 - 2012-11-15 %Z place of event: Glasgow, UK %B Abstracts of the Eleventh International Congress on Drug Therapy in HIV Infection %E Kippax, Susan; Salif Sow, Papa; Wainberg, Mark; Heidari, Shirin %Z sequence number: 18134 %@ false %J Journal of the International AIDS Society %V 15 %N Supplement 4 %Z sequence number: 18134 %@ false %U http://www.jiasociety.org/index.php/jias/article/view/18134
462. Simmer F, Brinkman AB, Assenov Y, Matarese F, Kaan A, Sabatino L, Villanueva A, Huertas D, Esteller M, Lengauer T, Bock C, Colantuoni V, Altucci L, Stunnenberg HG: Comparative Genome-wide DNA Methylation Analysis of Colorectal Tumor and Matched Normal Tissues. Epigenetics 2012, 7.
Abstract
aberrant DNa methylation often occurs in colorectal cancer (cRc). In our study we applied a genome-wide DNa methylation analysis approach, Methylcap-seq, to map the differentially methylated regions (DMRs) in 24 tumors and matched normal colon samples. In total, 2687 frequently hypermethylated and 468 frequently hypomethylated regions were identified, which include potential biomarkers for cRc diagnosis. hypermethylation in the tumor samples was enriched at cpG islands and gene promoters, while hypomethylation was distributed throughout the genome. Using epigenetic data from human embryonic stem cells, we show that frequently hypermethylated regions coincide with bivalent loci in human embryonic stem cells. DNa methylation is commonly thought to lead to gene silencing; however, integration of publically available gene expression data indicates that 75 of the frequently hypermethylated genes were most likely already lowly or not expressed in normal tissue. collectively, our study provides genome-wide DNa methylation maps of cRc, comprehensive lists of DMRs, and gives insights into the role of aberrant DNa methylation in cRc formation.
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@article{Simmer2012, TITLE = {Comparative Genome-wide {DNA} Methylation Analysis of Colorectal Tumor and Matched Normal Tissues}, AUTHOR = {Simmer, Femke and Brinkman, Arie B. and Assenov, Yassen and Matarese, Filomena and Kaan, Anita and Sabatino, Lina and Villanueva, Alberto and Huertas, Dori and Esteller, Manel and Lengauer, Thomas and Bock, Christoph and Colantuoni, Vittorio and Altucci, Lucia and Stunnenberg, Henk G.}, LANGUAGE = {eng}, ISSN = {1559-2308}, DOI = {10.4161/epi.22562}, LOCALID = {Local-ID: 36606C5138C4EC2BC1257AD4005AD037-Simmer2012}, PUBLISHER = {Landes Bioscience}, ADDRESS = {Austin, USA}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {aberrant DNa methylation often occurs in colorectal cancer (cRc). In our study we applied a genome-wide DNa methylation analysis approach, Methylcap-seq, to map the differentially methylated regions (DMRs) in 24 tumors and matched normal colon samples. In total, 2687 frequently hypermethylated and 468 frequently hypomethylated regions were identified, which include potential biomarkers for cRc diagnosis. hypermethylation in the tumor samples was enriched at cpG islands and gene promoters, while hypomethylation was distributed throughout the genome. Using epigenetic data from human embryonic stem cells, we show that frequently hypermethylated regions coincide with bivalent loci in human embryonic stem cells. DNa methylation is commonly thought to lead to gene silencing; however, integration of publically available gene expression data indicates that 75 of the frequently hypermethylated genes were most likely already lowly or not expressed in normal tissue. collectively, our study provides genome-wide DNa methylation maps of cRc, comprehensive lists of DMRs, and gives insights into the role of aberrant DNa methylation in cRc formation.}, JOURNAL = {Epigenetics}, VOLUME = {7}, NUMBER = {12}, PAGES = {1355--1367}, }
Endnote
%0 Journal Article %A Simmer, Femke %A Brinkman, Arie B. %A Assenov, Yassen %A Matarese, Filomena %A Kaan, Anita %A Sabatino, Lina %A Villanueva, Alberto %A Huertas, Dori %A Esteller, Manel %A Lengauer, Thomas %A Bock, Christoph %A Colantuoni, Vittorio %A Altucci, Lucia %A Stunnenberg, Henk G. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Comparative Genome-wide DNA Methylation Analysis of Colorectal Tumor and Matched Normal Tissues : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C53B-A %R 10.4161/epi.22562 %F OTHER: Local-ID: 36606C5138C4EC2BC1257AD4005AD037-Simmer2012 %7 2012-10-18 %D 2012 %X aberrant DNa methylation often occurs in colorectal cancer (cRc). In our study we applied a genome-wide DNa methylation analysis approach, Methylcap-seq, to map the differentially methylated regions (DMRs) in 24 tumors and matched normal colon samples. In total, 2687 frequently hypermethylated and 468 frequently hypomethylated regions were identified, which include potential biomarkers for cRc diagnosis. hypermethylation in the tumor samples was enriched at cpG islands and gene promoters, while hypomethylation was distributed throughout the genome. Using epigenetic data from human embryonic stem cells, we show that frequently hypermethylated regions coincide with bivalent loci in human embryonic stem cells. DNa methylation is commonly thought to lead to gene silencing; however, integration of publically available gene expression data indicates that 75 of the frequently hypermethylated genes were most likely already lowly or not expressed in normal tissue. collectively, our study provides genome-wide DNa methylation maps of cRc, comprehensive lists of DMRs, and gives insights into the role of aberrant DNa methylation in cRc formation. %J Epigenetics %V 7 %N 12 %& 1355 %P 1355 - 1367 %I Landes Bioscience %C Austin, USA %@ false
463. Soares SC, Abreu VAC, Ramos RTJ, Cerdeira L, Silva A, Baumbach J, Trost E, Tauch A, Hirata R, Mattos-Guaraldi AL, Miyoshi A, Azevedo V: PIPS: Pathogenicity Island Prediction Software. PLoS One 2012, 7.
Abstract
The adaptability of pathogenic bacteria to hosts is influenced by the genomic plasticity of the bacteria, which can be increased by such mechanisms as horizontal gene transfer. Pathogenicity islands play a major role in this type of gene transfer because they are large, horizontally acquired regions that harbor clusters of virulence genes that mediate the adhesion, colonization, invasion, immune system evasion, and toxigenic properties of the acceptor organism. Currently, pathogenicity islands are mainly identified in silico based on various characteristic features: (1) deviations in codon usage, G+C content or dinucleotide frequency and (2) insertion sequences and/or tRNA genetic flanking regions together with transposase coding genes. Several computational techniques for identifying pathogenicity islands exist. However, most of these techniques are only directed at the detection of horizontally transferred genes and/or the absence of certain genomic regions of the pathogenic bacterium in closely related non-pathogenic species. Here, we present a novel software suite designed for the prediction of pathogenicity islands (pathogenicity island prediction software, or PIPS). In contrast to other existing tools, our approach is capable of utilizing multiple features for pathogenicity island detection in an integrative manner. We show that PIPS provides better accuracy than other available software packages. As an example, we used PIPS to study the veterinary pathogen Corynebacterium pseudotuberculosis, in which we identified seven putative pathogenicity islands.
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@article{Soares2012, TITLE = {{PIPS}: Pathogenicity Island Prediction Software}, AUTHOR = {Soares, Siomar C. and Abreu, Vin{\'i}cius A. C. and Ramos, Rommel T. J. and Cerdeira, Louise and Silva, Artur and Baumbach, Jan and Trost, Eva and Tauch, Andreas and Hirata, Raphael and Mattos-Guaraldi, Ana L. and Miyoshi, Anderson and Azevedo, Vasco}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22355329}, DOI = {10.1371/journal.pone.0030848}, LOCALID = {Local-ID: 8B4B39F64DBD7320C1257B12004384DD-Soares2012}, YEAR = {2012}, ABSTRACT = {The adaptability of pathogenic bacteria to hosts is influenced by the genomic plasticity of the bacteria, which can be increased by such mechanisms as horizontal gene transfer. Pathogenicity islands play a major role in this type of gene transfer because they are large, horizontally acquired regions that harbor clusters of virulence genes that mediate the adhesion, colonization, invasion, immune system evasion, and toxigenic properties of the acceptor organism. Currently, pathogenicity islands are mainly identified in silico based on various characteristic features: (1) deviations in codon usage, G+C content or dinucleotide frequency and (2) insertion sequences and/or tRNA genetic flanking regions together with transposase coding genes. Several computational techniques for identifying pathogenicity islands exist. However, most of these techniques are only directed at the detection of horizontally transferred genes and/or the absence of certain genomic regions of the pathogenic bacterium in closely related non-pathogenic species. Here, we present a novel software suite designed for the prediction of pathogenicity islands (pathogenicity island prediction software, or PIPS). In contrast to other existing tools, our approach is capable of utilizing multiple features for pathogenicity island detection in an integrative manner. We show that PIPS provides better accuracy than other available software packages. As an example, we used PIPS to study the veterinary pathogen Corynebacterium pseudotuberculosis, in which we identified seven putative pathogenicity islands.}, JOURNAL = {PLoS One}, VOLUME = {7}, NUMBER = {2}, PAGES = {e30848,1--e30848,10}, EID = {e30848}, }
Endnote
%0 Journal Article %A Soares, Siomar C. %A Abreu, Vin&#237;cius A. C. %A Ramos, Rommel T. J. %A Cerdeira, Louise %A Silva, Artur %A Baumbach, Jan %A Trost, Eva %A Tauch, Andreas %A Hirata, Raphael %A Mattos-Guaraldi, Ana L. %A Miyoshi, Anderson %A Azevedo, Vasco %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T PIPS: Pathogenicity Island Prediction Software : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C7CD-0 %R 10.1371/journal.pone.0030848 %U http://www.ncbi.nlm.nih.gov/pubmed/22355329 %F OTHER: Local-ID: 8B4B39F64DBD7320C1257B12004384DD-Soares2012 %7 2012-02-15 %D 2012 %8 15.02.2012 %* Review method: peer-reviewed %X The adaptability of pathogenic bacteria to hosts is influenced by the genomic plasticity of the bacteria, which can be increased by such mechanisms as horizontal gene transfer. Pathogenicity islands play a major role in this type of gene transfer because they are large, horizontally acquired regions that harbor clusters of virulence genes that mediate the adhesion, colonization, invasion, immune system evasion, and toxigenic properties of the acceptor organism. Currently, pathogenicity islands are mainly identified in silico based on various characteristic features: (1) deviations in codon usage, G+C content or dinucleotide frequency and (2) insertion sequences and/or tRNA genetic flanking regions together with transposase coding genes. Several computational techniques for identifying pathogenicity islands exist. However, most of these techniques are only directed at the detection of horizontally transferred genes and/or the absence of certain genomic regions of the pathogenic bacterium in closely related non-pathogenic species. Here, we present a novel software suite designed for the prediction of pathogenicity islands (pathogenicity island prediction software, or PIPS). In contrast to other existing tools, our approach is capable of utilizing multiple features for pathogenicity island detection in an integrative manner. We show that PIPS provides better accuracy than other available software packages. As an example, we used PIPS to study the veterinary pathogen Corynebacterium pseudotuberculosis, in which we identified seven putative pathogenicity islands. %K Bacteria/*genetics/*pathogenicity Bacterial Infections/genetics/microbiology/*pathology Computational Biology Genome, Bacterial Genomic Islands/*genetics *Software Virulence/*genetics %J PLoS One %O PloS one %V 7 %N 2 %& e30848,1 %P e30848,1 - e30848,10 %Z sequence number: e30848 %@ false
464. Speicher N: Towards the Identification of Cancer Subtypes by Integrative Clustering of Molecular Data. Universität des Saarlandes; 2012.
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@mastersthesis{SpeicherMaster2012, TITLE = {Towards the Identification of Cancer Subtypes by Integrative Clustering of Molecular Data}, AUTHOR = {Speicher, Nora}, LANGUAGE = {eng}, LOCALID = {Local-ID: AE782C8688CC637CC1257B27005442DF-SpeicherMaster2012}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Speicher, Nora %Y Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards the Identification of Cancer Subtypes by Integrative Clustering of Molecular Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-B9E5-7 %F OTHER: Local-ID: AE782C8688CC637CC1257B27005442DF-SpeicherMaster2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V master %9 master
465. Thielen A, Lengauer T: Geno2pheno[454]: A Web Server for the Prediction of HIV-1 Coreceptor Usage from Next-generation Sequencing Data. Intervirology 2012, 55.
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@article{Thielen2011, TITLE = {Geno2pheno[454]: A Web Server for the Prediction of {HIV-1} Coreceptor Usage from Next-Generation Sequencing Data}, AUTHOR = {Thielen, Alexander and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1423-0100}, DOI = {10.1159/000332002}, LOCALID = {Local-ID: 00A82FD3324BC512C12579A3004FE8AD-Thielen2011}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Intervirology}, VOLUME = {55}, PAGES = {113--117}, }
Endnote
%0 Journal Article %A Thielen, Alexander %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno[454]: A Web Server for the Prediction of HIV-1 Coreceptor Usage from Next-generation Sequencing Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C586-F %R 10.1159/000332002 %F OTHER: Local-ID: 00A82FD3324BC512C12579A3004FE8AD-Thielen2011 %7 2012-01-24 %D 2012 %J Intervirology %V 55 %& 113 %P 113 - 117 %I Karger %C Basel %@ false
466. Tolosi L: Finding Regions of Aberrant DNA Copy Number Associated With Tumor Phenotype. Universität des Saarlandes; 2012.
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@phdthesis{Tolosi2012th, TITLE = {Finding Regions of Aberrant {DNA} Copy Number Associated With Tumor Phenotype}, AUTHOR = {Tolosi, Laura}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-49665}, DOI = {10.22028/D291-26398}, LOCALID = {Local-ID: 8E6F4087F836C766C1257B280040B1E2-Tolosi2012th}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, }
Endnote
%0 Thesis %A Tolosi, Laura %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %A referee: Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Finding Regions of Aberrant DNA Copy Number Associated With Tumor Phenotype : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-B9DE-A %F OTHER: Local-ID: 8E6F4087F836C766C1257B280040B1E2-Tolosi2012th %U urn:nbn:de:bsz:291-scidok-49665 %R 10.22028/D291-26398 %F OTHER: hdl:20.500.11880/26454 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %P XII, 175 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2012/4966/pdf/Tolosi_PhD.pdfhttp://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php
467. Welsch C, Shimakami T, Hartmann C, Yang Y, Domingues FS, Lengauer T, Zeuzem S, Lemon SM: Peptidomimetic Escape Mechanisms Arise via Genetic Diversity in the Ligand-binding Site of the Hepatitis C Virus NS3/4A Serine Protease. Gastroenterology 2012, 142.
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@article{lengauer2012c, TITLE = {Peptidomimetic Escape Mechanisms Arise via Genetic Diversity in the Ligand-Binding Site of the Hepatitis {C} Virus {NS3/4A} Serine Protease}, AUTHOR = {Welsch, Christoph and Shimakami, Tetsuro and Hartmann, Christoph and Yang, Yan and Domingues, Francisco S. and Lengauer, Thomas and Zeuzem, Stefan and Lemon, Stanley M.}, LANGUAGE = {eng}, ISSN = {0016-5085; 1528-0012}, DOI = {10.1053/j.gastro.2011.11.035}, LOCALID = {Local-ID: 29C8E52DB394DD9FC1257AD3004BEA49-lengauer2012c}, PUBLISHER = {Elsevier}, ADDRESS = {Philadelphia, Pa}, YEAR = {2012}, DATE = {2012}, JOURNAL = {Gastroenterology}, VOLUME = {142}, NUMBER = {3}, PAGES = {654--663}, }
Endnote
%0 Journal Article %A Welsch, Christoph %A Shimakami, Tetsuro %A Hartmann, Christoph %A Yang, Yan %A Domingues, Francisco S. %A Lengauer, Thomas %A Zeuzem, Stefan %A Lemon, Stanley M. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Peptidomimetic Escape Mechanisms Arise via Genetic Diversity in the Ligand-binding Site of the Hepatitis C Virus NS3/4A Serine Protease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C53F-2 %R 10.1053/j.gastro.2011.11.035 %2 PMC3288278 %F OTHER: Local-ID: 29C8E52DB394DD9FC1257AD3004BEA49-lengauer2012c %7 2011-12-07 %D 2012 %J Gastroenterology %O Gastroenterology %V 142 %N 3 %& 654 %P 654 - 663 %I Elsevier %C Philadelphia, Pa %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3288278/
468. Welsch C, Schweizer S, Shimakami T, Domingues FS, Kim S, Lemon SM, Antes I: Ketoamide Resistance and Hepatitis C Virus Fitness in Val55 Variants of the NS3 Serine Protease. Antimicrobial Agents and Chemotherapy 2012, 56.
Abstract
Drug-resistant viral variants are a major issue in the use of direct-acting antiviral agents in chronic hepatitis C. Ketoamides are potent inhibitors of the NS3 protease, with V55A identified as mutation associated with resistance to boceprevir. Underlying molecular mechanisms are only partially understood. We applied a comprehensive sequence analysis to characterize the natural variability at Val55 within dominant worldwide patient strains. A residue-interaction network and molecular dynamics simulation were applied to identify mechanisms for ketoamide resistance and viral fitness in Val55 variants. An infectious H77S.3 cell culture system was used for variant phenotype characterization. We measured antiviral 50% effective concentration (EC(5)(0)) and fold changes, as well as RNA replication and infectious virus yields from viral RNAs containing variants. Val55 was found highly conserved throughout all hepatitis C virus (HCV) genotypes. The conservative V55A and V55I variants were identified from HCV genotype 1a strains with no variants in genotype 1b. Topology measures from a residue-interaction network of the protease structure suggest a potential Val55 key role for modulation of molecular changes in the protease ligand-binding site. Molecular dynamics showed variants with constricted binding pockets and a loss of H-bonded interactions upon boceprevir binding to the variant proteases. These effects might explain low-level boceprevir resistance in the V55A variant, as well as the Val55 variant, reduced RNA replication capacity. Higher structural flexibility was found in the wild-type protease, whereas variants showed lower flexibility. Reduced structural flexibility could impact the Val55 variant's ability to adapt for NS3 domain-domain interaction and might explain the virus yield drop observed in variant strains.
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@article{Welsch2012z, TITLE = {Ketoamide Resistance and Hepatitis {C} Virus Fitness in {Val55} Variants of the {NS3} Serine Protease}, AUTHOR = {Welsch, Christoph and Schweizer, Sabine and Shimakami, Testsuro and Domingues, Francisco S. and Kim, Seungtaek and Lemon, Stanley M. and Antes, Iris}, LANGUAGE = {eng}, ISSN = {0066-4804}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22252823}, DOI = {10.1128/AAC.05184-11}, LOCALID = {Local-ID: A76C4F979CD85F52C1257B120044B815-Welsch2012z}, PUBLISHER = {American Society for Microbiology (ASM)}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {Drug-resistant viral variants are a major issue in the use of direct-acting antiviral agents in chronic hepatitis C. Ketoamides are potent inhibitors of the NS3 protease, with V55A identified as mutation associated with resistance to boceprevir. Underlying molecular mechanisms are only partially understood. We applied a comprehensive sequence analysis to characterize the natural variability at Val55 within dominant worldwide patient strains. A residue-interaction network and molecular dynamics simulation were applied to identify mechanisms for ketoamide resistance and viral fitness in Val55 variants. An infectious H77S.3 cell culture system was used for variant phenotype characterization. We measured antiviral 50% effective concentration (EC(5)(0)) and fold changes, as well as RNA replication and infectious virus yields from viral RNAs containing variants. Val55 was found highly conserved throughout all hepatitis C virus (HCV) genotypes. The conservative V55A and V55I variants were identified from HCV genotype 1a strains with no variants in genotype 1b. Topology measures from a residue-interaction network of the protease structure suggest a potential Val55 key role for modulation of molecular changes in the protease ligand-binding site. Molecular dynamics showed variants with constricted binding pockets and a loss of H-bonded interactions upon boceprevir binding to the variant proteases. These effects might explain low-level boceprevir resistance in the V55A variant, as well as the Val55 variant, reduced RNA replication capacity. Higher structural flexibility was found in the wild-type protease, whereas variants showed lower flexibility. Reduced structural flexibility could impact the Val55 variant's ability to adapt for NS3 domain-domain interaction and might explain the virus yield drop observed in variant strains.}, JOURNAL = {Antimicrobial Agents and Chemotherapy}, VOLUME = {56}, NUMBER = {4}, PAGES = {1907--1915}, }
Endnote
%0 Journal Article %A Welsch, Christoph %A Schweizer, Sabine %A Shimakami, Testsuro %A Domingues, Francisco S. %A Kim, Seungtaek %A Lemon, Stanley M. %A Antes, Iris %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Ketoamide Resistance and Hepatitis C Virus Fitness in Val55 Variants of the NS3 Serine Protease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C7A0-1 %2 PMC3318394 %R 10.1128/AAC.05184-11 %U http://www.ncbi.nlm.nih.gov/pubmed/22252823 %F OTHER: Local-ID: A76C4F979CD85F52C1257B120044B815-Welsch2012z %7 2012-01-17 %D 2012 %X Drug-resistant viral variants are a major issue in the use of direct-acting antiviral agents in chronic hepatitis C. Ketoamides are potent inhibitors of the NS3 protease, with V55A identified as mutation associated with resistance to boceprevir. Underlying molecular mechanisms are only partially understood. We applied a comprehensive sequence analysis to characterize the natural variability at Val55 within dominant worldwide patient strains. A residue-interaction network and molecular dynamics simulation were applied to identify mechanisms for ketoamide resistance and viral fitness in Val55 variants. An infectious H77S.3 cell culture system was used for variant phenotype characterization. We measured antiviral 50% effective concentration (EC(5)(0)) and fold changes, as well as RNA replication and infectious virus yields from viral RNAs containing variants. Val55 was found highly conserved throughout all hepatitis C virus (HCV) genotypes. The conservative V55A and V55I variants were identified from HCV genotype 1a strains with no variants in genotype 1b. Topology measures from a residue-interaction network of the protease structure suggest a potential Val55 key role for modulation of molecular changes in the protease ligand-binding site. Molecular dynamics showed variants with constricted binding pockets and a loss of H-bonded interactions upon boceprevir binding to the variant proteases. These effects might explain low-level boceprevir resistance in the V55A variant, as well as the Val55 variant, reduced RNA replication capacity. Higher structural flexibility was found in the wild-type protease, whereas variants showed lower flexibility. Reduced structural flexibility could impact the Val55 variant's ability to adapt for NS3 domain-domain interaction and might explain the virus yield drop observed in variant strains. %K Antiviral Agents/*pharmacology Cell Line Cells, Cultured Computer Simulation *Drug Resistance, Viral Genotype Hepacivirus/*drug effects/enzymology/*genetics Humans Models, Molecular Plasmids/genetics Proline/analogs & derivatives/pharmacology Protein Conformation RNA, Viral/biosynthesis/genetics Serine Proteinase Inhibitors/*pharmacology Transfection Viral Nonstructural Proteins/*antagonists & inhibitors/*genetics Virus Replication/drug effects %J Antimicrobial Agents and Chemotherapy %V 56 %N 4 %& 1907 %P 1907 - 1915 %I American Society for Microbiology (ASM) %@ false %U http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3318394/
469. Xi Y, Bock C, Müller F, Sun D, Meissner A, Li W: RRBSMAP: a Fast, Accurate and User-friendly Alignment Tool for Reduced Representation Bisulfite Sequencing. Bioinformatics 2012, 28.
Abstract
SUMMARY: Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS. AVAILABILITY: http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/ CONTACT: wl1@bcm.tmc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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@article{Xi2012, TITLE = {{RRBSMAP}: a Fast, Accurate and User-friendly Alignment Tool for Reduced Representation Bisulfite Sequencing}, AUTHOR = {Xi, Yuanxin and Bock, Christoph and M{\"u}ller, Fabian and Sun, Deqiang and Meissner, Alexander and Li, Wei}, LANGUAGE = {eng}, ISSN = {1367-4811; 1367-4803}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22155871}, DOI = {10.1093/bioinformatics/btr668}, LOCALID = {Local-ID: 04A4E905EF704B98C1257B160035703B-Xi2012}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {SUMMARY: Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS. AVAILABILITY: http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/ CONTACT: wl1@bcm.tmc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.}, JOURNAL = {Bioinformatics}, VOLUME = {28}, NUMBER = {3}, PAGES = {430--432}, }
Endnote
%0 Journal Article %A Xi, Yuanxin %A Bock, Christoph %A M&#252;ller, Fabian %A Sun, Deqiang %A Meissner, Alexander %A Li, Wei %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T RRBSMAP: a Fast, Accurate and User-friendly Alignment Tool for Reduced Representation Bisulfite Sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C66A-7 %2 PMC3268241 %R 10.1093/bioinformatics/btr668 %U http://www.ncbi.nlm.nih.gov/pubmed/22155871 %F OTHER: Local-ID: 04A4E905EF704B98C1257B160035703B-Xi2012 %7 2011-12-06 %D 2012 %X SUMMARY: Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS. AVAILABILITY: http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/ CONTACT: wl1@bcm.tmc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. %K DNA Methylation Embryonic Stem Cells/metabolism Genomics/methods Humans Sequence Alignment/*methods Sequence Analysis, DNA/*methods *Software Sulfites User-Computer Interface %J Bioinformatics %O Bioinformatics %V 28 %N 3 %& 430 %P 430 - 432 %I Oxford University Press %C Oxford, UK %@ false %U http://www.ncbi.nlm.nih.gov/pubmed/22155871
470. Zazzi M, Incardona F, Rosen-Zvi M, Prosperi M, Lengauer T, Altmann A, Sonnerborg A, Lavee T, Schulter E, Kaiser R: Predicting Response to Antiretroviral Treatment by Machine Learning: the EuResist Project. Intervirology 2012, 55.
Abstract
For a long time, the clinical management of antiretroviral drug resistance was based on sequence analysis of the HIV genome followed by estimating drug susceptibility from the mutational pattern that was detected. The large number of anti-HIV drugs and HIV drug resistance mutations has prompted the development of computer-aided genotype interpretation systems, typically comprising rules handcrafted by experts via careful examination of in vitro and in vivo resistance data. More recently, machine learning approaches have been applied to establish data-driven engines able to indicate the most effective treatments for any patient and virus combination. Systems of this kind, currently including the Resistance Response Database Initiative and the EuResist engine, must learn from the large data sets of patient histories and can provide an objective and accurate estimate of the virological response to different antiretroviral regimens. The EuResist engine was developed by a European consortium of HIV and bioinformatics experts and compares favorably with the most commonly used genotype interpretation systems and HIV drug resistance experts. Next-generation treatment response prediction engines may valuably assist the HIV specialist in the challenging task of establishing effective regimens for patients harboring drug-resistant virus strains. The extensive collection and accurate processing of increasingly large patient data sets are eagerly awaited to further train and translate these systems from prototype engines into real-life treatment decision support tools.
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@article{Zazzi2012, TITLE = {Predicting Response to Antiretroviral Treatment by Machine Learning: the {EuResist} Project}, AUTHOR = {Zazzi, Maurizio and Incardona, Francesca and Rosen-Zvi, Michal and Prosperi, Mattia and Lengauer, Thomas and Altmann, Andr{\'e} and Sonnerborg, Anders and Lavee, Tamar and Schulter, Eugen and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1423-0100; 0300-5526}, URL = {http://www.ncbi.nlm.nih.gov/pubmed/22286881}, DOI = {10.1159/000332008}, LOCALID = {Local-ID: 855AC39B714E1C1AC1257B160035DD40-Zazzi2012}, PUBLISHER = {Karger}, ADDRESS = {Basel}, YEAR = {2012}, DATE = {2012}, ABSTRACT = {For a long time, the clinical management of antiretroviral drug resistance was based on sequence analysis of the HIV genome followed by estimating drug susceptibility from the mutational pattern that was detected. The large number of anti-HIV drugs and HIV drug resistance mutations has prompted the development of computer-aided genotype interpretation systems, typically comprising rules handcrafted by experts via careful examination of in vitro and in vivo resistance data. More recently, machine learning approaches have been applied to establish data-driven engines able to indicate the most effective treatments for any patient and virus combination. Systems of this kind, currently including the Resistance Response Database Initiative and the EuResist engine, must learn from the large data sets of patient histories and can provide an objective and accurate estimate of the virological response to different antiretroviral regimens. The EuResist engine was developed by a European consortium of HIV and bioinformatics experts and compares favorably with the most commonly used genotype interpretation systems and HIV drug resistance experts. Next-generation treatment response prediction engines may valuably assist the HIV specialist in the challenging task of establishing effective regimens for patients harboring drug-resistant virus strains. The extensive collection and accurate processing of increasingly large patient data sets are eagerly awaited to further train and translate these systems from prototype engines into real-life treatment decision support tools.}, JOURNAL = {Intervirology}, VOLUME = {55}, NUMBER = {2}, PAGES = {123--127}, }
Endnote
%0 Journal Article %A Zazzi, Maurizio %A Incardona, Francesca %A Rosen-Zvi, Michal %A Prosperi, Mattia %A Lengauer, Thomas %A Altmann, Andr&#233; %A Sonnerborg, Anders %A Lavee, Tamar %A Schulter, Eugen %A Kaiser, Rolf %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Predicting Response to Antiretroviral Treatment by Machine Learning: the EuResist Project : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-C666-F %R 10.1159/000332008 %U http://www.ncbi.nlm.nih.gov/pubmed/22286881 %F OTHER: Local-ID: 855AC39B714E1C1AC1257B160035DD40-Zazzi2012 %7 2011-12-06 %D 2012 %X For a long time, the clinical management of antiretroviral drug resistance was based on sequence analysis of the HIV genome followed by estimating drug susceptibility from the mutational pattern that was detected. The large number of anti-HIV drugs and HIV drug resistance mutations has prompted the development of computer-aided genotype interpretation systems, typically comprising rules handcrafted by experts via careful examination of in vitro and in vivo resistance data. More recently, machine learning approaches have been applied to establish data-driven engines able to indicate the most effective treatments for any patient and virus combination. Systems of this kind, currently including the Resistance Response Database Initiative and the EuResist engine, must learn from the large data sets of patient histories and can provide an objective and accurate estimate of the virological response to different antiretroviral regimens. The EuResist engine was developed by a European consortium of HIV and bioinformatics experts and compares favorably with the most commonly used genotype interpretation systems and HIV drug resistance experts. Next-generation treatment response prediction engines may valuably assist the HIV specialist in the challenging task of establishing effective regimens for patients harboring drug-resistant virus strains. The extensive collection and accurate processing of increasingly large patient data sets are eagerly awaited to further train and translate these systems from prototype engines into real-life treatment decision support tools. %K Anti-HIV Agents/pharmacology/therapeutic use Artificial Intelligence Drug Resistance, Viral Genotype HIV Infections/drug therapy/*virology HIV-1/*drug effects/*genetics/isolation & purification Humans Microbial Sensitivity Tests/*methods %J Intervirology %V 55 %N 2 %& 123 %P 123 - 127 %I Karger %C Basel %@ false
471. Zeidler M: Cloudbasierte Analyse von viralen Sequenzdaten der neuesten Generation. Universität des Saarlandes; 2012.
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@mastersthesis{ZeidlerBachelor2012, TITLE = {{{Cloudbasierte Analyse von viralen Sequenzdaten der neuesten Generation}}}, AUTHOR = {Zeidler, Michael}, LANGUAGE = {deu}, LOCALID = {Local-ID: 41A45DC3FAA52D98C1257B270052168E-ZeidlerBachelor2012}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2012}, DATE = {2012}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Zeidler, Michael %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Cloudbasierte Analyse von viralen Sequenzdaten der neuesten Generation : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0014-BA87-4 %F OTHER: Local-ID: 41A45DC3FAA52D98C1257B270052168E-ZeidlerBachelor2012 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2012 %V bachelor %9 bachelor
2011
472. Alcaro S, Alteri C, Artese A, Ceccherini-Silberstein F, Costa G, Ortuso F, Forbici F, Santoro MM, Parrotta L, Flandre P, Descamps D, Calvez V, Marcelin A-G, Perno CF, Sing T, Svicher V: Docking Analysis and Resistance Evaluation of Clinically Relevant Mutations Associated with the HIV-1 Nonnucleoside Reverse Transcriptase Inhibitors Nevirapine, Efavirenz and Etravirine. ChemMedChem 2011, 6.
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@article{Sing2011, TITLE = {Docking Analysis and Resistance Evaluation of Clinically Relevant Mutations Associated with the {HIV}-1 Nonnucleoside Reverse Transcriptase Inhibitors Nevirapine, Efavirenz and Etravirine}, AUTHOR = {Alcaro, Stefano and Alteri, Claudia and Artese, Anna and Ceccherini-Silberstein, Francesca and Costa, Giosu{\`e} and Ortuso, Francesco and Forbici, Federica and Santoro, Maria Mercedes and Parrotta, Lucia and Flandre, Philippe and Descamps, Diane and Calvez, Vincent and Marcelin, Anne-Genevieve and Perno, Carlo Federico and Sing, Tobias and Svicher, Valentina}, LANGUAGE = {eng}, ISSN = {1860-7179}, URL = {http://dx.doi.org/10.1002/cmdc.201100362}, DOI = {10.1002/cmdc.201100362}, LOCALID = {Local-ID: C125673F004B2D7B-814AE4C2010C44A6C12579C90050B2D5-Sing2011}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim}, YEAR = {2011}, DATE = {2011}, JOURNAL = {ChemMedChem}, VOLUME = {6}, NUMBER = {12}, PAGES = {2203--2213}, }
Endnote
%0 Journal Article %A Alcaro, Stefano %A Alteri, Claudia %A Artese, Anna %A Ceccherini-Silberstein, Francesca %A Costa, Giosu&#232; %A Ortuso, Francesco %A Forbici, Federica %A Santoro, Maria Mercedes %A Parrotta, Lucia %A Flandre, Philippe %A Descamps, Diane %A Calvez, Vincent %A Marcelin, Anne-Genevieve %A Perno, Carlo Federico %A Sing, Tobias %A Svicher, Valentina %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking Analysis and Resistance Evaluation of Clinically Relevant Mutations Associated with the HIV-1 Nonnucleoside Reverse Transcriptase Inhibitors Nevirapine, Efavirenz and Etravirine : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-132A-1 %F EDOC: 618842 %R 10.1002/cmdc.201100362 %U http://dx.doi.org/10.1002/cmdc.201100362 %F OTHER: Local-ID: C125673F004B2D7B-814AE4C2010C44A6C12579C90050B2D5-Sing2011 %D 2011 %* Review method: peer-reviewed %J ChemMedChem %V 6 %N 12 %& 2203 %P 2203 - 2213 %I Wiley-VCH %C Weinheim %@ false
473. Aranda B, Blankenburg H, Kerrien S, Brinkman FS, Ceol A, Chautard E, Dana JM, De Las Rivas J, Dumousseau M, Galeota E, Gaulton A, Goll J, Hancock REW, Isserlin R, Jimenez RC, Kerssemakers J, Khadake J, Lynn DJ, Michaut M, O’Kelly G, Ono K, Orchard S, Prieto C, Razick S, Rigina O, Salwinski L, Simonovic M, Velankar S, Winter A, Wu G, et al.: PSICQUIC and PSISCORE: accessing and scoring molecular interactions. Nature Methods 2011, 8.
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@article{Albrecht2011g, TITLE = {{PSICQUIC} and {PSISCORE}: accessing and scoring molecular interactions}, AUTHOR = {Aranda, Bruno and Blankenburg, Hagen and Kerrien, Samuel and Brinkman, Fiona S. and Ceol, Arnaud and Chautard, Emilie and Dana, Jose M. and De Las Rivas, Javier and Dumousseau, Marine and Galeota, Eugenia and Gaulton, Anna and Goll, Johannes and Hancock, Robert E. W. and Isserlin, Ruth and Jimenez, Rafael C. and Kerssemakers, Jules and Khadake, Jyoti and Lynn, David J. and Michaut, Magali and O'Kelly, Gavin and Ono, Keiichiro and Orchard, Sandra and Prieto, Carlos and Razick, Sabry and Rigina, Olga and Salwinski, Lukasz and Simonovic, Milan and Velankar, Sameer and Winter, Andrew and Wu, Guanming and Bader, Gary D. and Cesareni, Gianni and Donaldson, Ian M. and Eisenberg, David and Kleywegt, Gerard J. and Overington, John and Ricard-Blum, Sylvie and Tyers, Mike and Albrecht, Mario and Hermjakob, Henning}, LANGUAGE = {eng}, ISSN = {1548-7091}, URL = {http://dx.doi.org/10.1038/nmeth.1637}, DOI = {10.1038/nmeth.1637}, LOCALID = {Local-ID: C125673F004B2D7B-D6449AD62B8E5ECAC1257979005EA156-Albrecht2011g}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Nature Methods}, VOLUME = {8}, NUMBER = {7}, PAGES = {528--529}, }
Endnote
%0 Journal Article %A Aranda, Bruno %A Blankenburg, Hagen %A Kerrien, Samuel %A Brinkman, Fiona S. %A Ceol, Arnaud %A Chautard, Emilie %A Dana, Jose M. %A De Las Rivas, Javier %A Dumousseau, Marine %A Galeota, Eugenia %A Gaulton, Anna %A Goll, Johannes %A Hancock, Robert E. W. %A Isserlin, Ruth %A Jimenez, Rafael C. %A Kerssemakers, Jules %A Khadake, Jyoti %A Lynn, David J. %A Michaut, Magali %A O'Kelly, Gavin %A Ono, Keiichiro %A Orchard, Sandra %A Prieto, Carlos %A Razick, Sabry %A Rigina, Olga %A Salwinski, Lukasz %A Simonovic, Milan %A Velankar, Sameer %A Winter, Andrew %A Wu, Guanming %A Bader, Gary D. %A Cesareni, Gianni %A Donaldson, Ian M. %A Eisenberg, David %A Kleywegt, Gerard J. %A Overington, John %A Ricard-Blum, Sylvie %A Tyers, Mike %A Albrecht, Mario %A Hermjakob, Henning %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T PSICQUIC and PSISCORE: accessing and scoring molecular interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1366-C %F EDOC: 618818 %R 10.1038/nmeth.1637 %U http://dx.doi.org/10.1038/nmeth.1637 %F OTHER: Local-ID: C125673F004B2D7B-D6449AD62B8E5ECAC1257979005EA156-Albrecht2011g %D 2011 %* Review method: peer-reviewed %J Nature Methods %V 8 %N 7 %& 528 %P 528 - 529 %I Nature Publishing Group %C London %@ false
474. Bleif S, Hannemann F, Lisurek M, von Kries JP, Zapp J, Dietzen M, Antes I, Bernhardt R: Identification of CYP106A2 as a Regioselective Allylic Bacterial Diterpene Hydroxylase. ChemBioChem 2011, 12.
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@article{Dietzen2011, TITLE = {Identification of {CYP106A2} as a Regioselective Allylic Bacterial Diterpene Hydroxylase}, AUTHOR = {Bleif, Sabrina and Hannemann, Frank and Lisurek, Michael and von Kries, Jens Peter and Zapp, Josef and Dietzen, Matthias and Antes, Iris and Bernhardt, Rita}, LANGUAGE = {eng}, ISSN = {1439-4227}, URL = {http://dx.doi.org/10.1002/cbic.201000404}, DOI = {10.1002/cbic.201000404}, LOCALID = {Local-ID: C125673F004B2D7B-2E95E033A7C7862EC1257831004AD54C-Dietzen2011}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim}, YEAR = {2011}, DATE = {2011}, JOURNAL = {ChemBioChem}, VOLUME = {12}, NUMBER = {4}, PAGES = {576--582}, }
Endnote
%0 Journal Article %A Bleif, Sabrina %A Hannemann, Frank %A Lisurek, Michael %A von Kries, Jens Peter %A Zapp, Josef %A Dietzen, Matthias %A Antes, Iris %A Bernhardt, Rita %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of CYP106A2 as a Regioselective Allylic Bacterial Diterpene Hydroxylase : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1347-1 %F EDOC: 618799 %R 10.1002/cbic.201000404 %U http://dx.doi.org/10.1002/cbic.201000404 %F OTHER: Local-ID: C125673F004B2D7B-2E95E033A7C7862EC1257831004AD54C-Dietzen2011 %D 2011 %* Review method: peer-reviewed %J ChemBioChem %V 12 %N 4 %& 576 %P 576 - 582 %I Wiley-VCH %C Weinheim %@ false
475. Bock C, Kiskinis E, Verstappen G, Gu H, Boulting G, Smith ZD, Ziller M, Croft GF, Amoroso MW, Oakley DH, Gnirke A, Eggan K, Meissner A: Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines. Cell 2011, 144.
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@article{BockCELL2011, TITLE = {Reference Maps of Human {ES} and {iPS} Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines}, AUTHOR = {Bock, Christoph and Kiskinis, Evangelos and Verstappen, Griet and Gu, Hongcang and Boulting, Gabriella and Smith, Zachary D. and Ziller, Michael and Croft, Gist F. and Amoroso, MacKenzie W. and Oakley, Derek H. and Gnirke, Andreas and Eggan, Kevin and Meissner, Alexander}, LANGUAGE = {eng}, ISSN = {0092-8674}, URL = {http://dx.doi.org/10.1016/j.cell.2010.12.032}, DOI = {10.1016/j.cell.2010.12.032}, LOCALID = {Local-ID: C125673F004B2D7B-79DC93A13758D5CFC12579C9005315C1-BockCELL2011}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Cell}, VOLUME = {144}, NUMBER = {3}, PAGES = {439--452}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Kiskinis, Evangelos %A Verstappen, Griet %A Gu, Hongcang %A Boulting, Gabriella %A Smith, Zachary D. %A Ziller, Michael %A Croft, Gist F. %A Amoroso, MacKenzie W. %A Oakley, Derek H. %A Gnirke, Andreas %A Eggan, Kevin %A Meissner, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-136E-B %F EDOC: 618843 %R 10.1016/j.cell.2010.12.032 %U http://dx.doi.org/10.1016/j.cell.2010.12.032 %F OTHER: Local-ID: C125673F004B2D7B-79DC93A13758D5CFC12579C9005315C1-BockCELL2011 %D 2011 %* Review method: peer-reviewed %J Cell %V 144 %N 3 %& 439 %P 439 - 452 %I Cell Press %C Cambridge, Mass. %@ false
476. Bogojeska J: History Distribution Matching Method for Predicting Effectiveness of HIV Combination Therapies. In Advances in Neural Information Processing Systems 24 (NIPS 2011). NIPS Foundation; 2011.
Abstract
This paper presents an approach that predicts the effectiveness of HIV combination therapies by simultaneously addressing several problems affecting the available HIV clinical data sets: the different treatment backgrounds of the samples, the uneven representation of the levels of therapy experience, the missing treatment history information, the uneven therapy representation and the unbalanced therapy outcome representation. The computational validation on clinical data shows that, compared to the most commonly used approach that does not account for the issues mentioned above, our model has significantly higher predictive power. This is especially true for samples stemming from patients with longer treatment history and samples associated with rare therapies. Furthermore, our approach is at least as powerful for the remaining samples.
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@inproceedings{Bogojeska2011, TITLE = {History Distribution Matching Method for Predicting Effectiveness of {HIV} Combination Therapies}, AUTHOR = {Bogojeska, Jasmina}, LANGUAGE = {eng}, URL = {http://books.nips.cc/papers/files/nips24/NIPS2011_0316.pdf}, LOCALID = {Local-ID: C125673F004B2D7B-5AEE1AD9F23246E7C125797500392E26-Bogojeska2011}, PUBLISHER = {NIPS Foundation}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {This paper presents an approach that predicts the effectiveness of HIV combination therapies by simultaneously addressing several problems affecting the available HIV clinical data sets: the different treatment backgrounds of the samples, the uneven representation of the levels of therapy experience, the missing treatment history information, the uneven therapy representation and the unbalanced therapy outcome representation. The computational validation on clinical data shows that, compared to the most commonly used approach that does not account for the issues mentioned above, our model has significantly higher predictive power. This is especially true for samples stemming from patients with longer treatment history and samples associated with rare therapies. Furthermore, our approach is at least as powerful for the remaining samples.}, BOOKTITLE = {Advances in Neural Information Processing Systems 24 (NIPS 2011)}, EDITOR = {Shawe-Taylor, John and Zemel, Richard S. and Bartlett, Peter and Pereira, Fernando and Weinberger, Kilian Q.}, PAGES = {424--432}, ADDRESS = {Granada, Spain}, }
Endnote
%0 Conference Proceedings %A Bogojeska, Jasmina %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T History Distribution Matching Method for Predicting Effectiveness of HIV Combination Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1341-D %F EDOC: 618814 %U http://books.nips.cc/papers/files/nips24/NIPS2011_0316.pdf %F OTHER: Local-ID: C125673F004B2D7B-5AEE1AD9F23246E7C125797500392E26-Bogojeska2011 %D 2011 %B Twenty-Fifth Annual Conference on Neural Information Processing Systems %Z date of event: 2011-12-12 - 2011-12-15 %C Granada, Spain %X This paper presents an approach that predicts the effectiveness of HIV combination therapies by simultaneously addressing several problems affecting the available HIV clinical data sets: the different treatment backgrounds of the samples, the uneven representation of the levels of therapy experience, the missing treatment history information, the uneven therapy representation and the unbalanced therapy outcome representation. The computational validation on clinical data shows that, compared to the most commonly used approach that does not account for the issues mentioned above, our model has significantly higher predictive power. This is especially true for samples stemming from patients with longer treatment history and samples associated with rare therapies. Furthermore, our approach is at least as powerful for the remaining samples. %B Advances in Neural Information Processing Systems 24 %E Shawe-Taylor, John; Zemel, Richard S.; Bartlett, Peter; Pereira, Fernando; Weinberger, Kilian Q. %P 424 - 432 %I NIPS Foundation
477. Bogojeska J: Statistical Learning Methods for Bias-aware HIV Therapy Screening. Universität des Saarlandes; 2011.
Abstract
The human immunodeficiency virus (HIV) is the causative agent of the acquired <br>immunodeficiency syndrome (AIDS) which claimed nearly $30$ million lives and is <br>arguably among the worst plagues in human history. With no cure or vaccine in <br>sight, HIV patients are treated by administration of combinations of <br>antiretroviral drugs. The very large number of such combinations makes the <br>manual search for an effective therapy practically impossible, especially in <br>advanced stages of the disease. Therapy selection can be supported by <br>statistical methods that predict the outcomes of candidate therapies. However, <br>these methods are based on clinical data sets that are biased in many ways. The <br>main sources of bias are the evolving trends of treating HIV patients, the <br>sparse, uneven therapy representation, the different treatment backgrounds of <br>the clinical samples and the differing abundances of the various <br>therapy-experience levels.<br><br>In this thesis we focus on the problem of devising bias-aware statistical <br>learning methods for HIV therapy screening -- predicting the effectiveness of <br>HIV combination therapies. For this purpose we develop five novel approaches <br>that when predicting outcomes of HIV therapies address the aforementioned <br>biases in the clinical data sets. Three of the approaches aim for good <br>prediction performance for every drug combination independent of its abundance <br>in the HIV clinical data set. To achieve this, they balance the sparse and <br>uneven therapy representation by using different routes of sharing common <br>knowledge among related therapies. The remaining two approaches additionally <br>account for the bias originating from the differing treatment histories of the <br>samples making up the HIV clinical data sets. For this purpose, both methods <br>predict the response of an HIV combination therapy by taking not only the most <br>recent (target) therapy but also available information from preceding therapies <br>into account. In this way they provide good predictions for advanced patients <br>in mid to late stages of HIV treatment, and for rare drug combinations.<br><br>All our methods use the time-oriented evaluation scenario, where models are <br>trained on data from the less recent past while their performance is evaluated <br>on data from the more recent past. This is the approach we adopt to account for <br>the evolving treatment trends in the HIV clinical practice and thus offer a <br>realistic model assessment.
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@phdthesis{BogojeskaPhD2011, TITLE = {Statistical Learning Methods for Bias-aware {HIV} Therapy Screening}, AUTHOR = {Bogojeska, Jasmina}, LANGUAGE = {eng}, URL = {http://scidok.sulb.uni-saarland.de/volltexte/2012/4547/; urn:nbn:de:bsz:291-scidok-45475}, DOI = {10.22028/D291-26255}, LOCALID = {Local-ID: C125673F004B2D7B-B354E6F7403CA747C1257975005027FD-BogojeskaPhD2011}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {The human immunodeficiency virus (HIV) is the causative agent of the acquired <br>immunodeficiency syndrome (AIDS) which claimed nearly $30$ million lives and is <br>arguably among the worst plagues in human history. With no cure or vaccine in <br>sight, HIV patients are treated by administration of combinations of <br>antiretroviral drugs. The very large number of such combinations makes the <br>manual search for an effective therapy practically impossible, especially in <br>advanced stages of the disease. Therapy selection can be supported by <br>statistical methods that predict the outcomes of candidate therapies. However, <br>these methods are based on clinical data sets that are biased in many ways. The <br>main sources of bias are the evolving trends of treating HIV patients, the <br>sparse, uneven therapy representation, the different treatment backgrounds of <br>the clinical samples and the differing abundances of the various <br>therapy-experience levels.<br><br>In this thesis we focus on the problem of devising bias-aware statistical <br>learning methods for HIV therapy screening -- predicting the effectiveness of <br>HIV combination therapies. For this purpose we develop five novel approaches <br>that when predicting outcomes of HIV therapies address the aforementioned <br>biases in the clinical data sets. Three of the approaches aim for good <br>prediction performance for every drug combination independent of its abundance <br>in the HIV clinical data set. To achieve this, they balance the sparse and <br>uneven therapy representation by using different routes of sharing common <br>knowledge among related therapies. The remaining two approaches additionally <br>account for the bias originating from the differing treatment histories of the <br>samples making up the HIV clinical data sets. For this purpose, both methods <br>predict the response of an HIV combination therapy by taking not only the most <br>recent (target) therapy but also available information from preceding therapies <br>into account. In this way they provide good predictions for advanced patients <br>in mid to late stages of HIV treatment, and for rare drug combinations.<br><br>All our methods use the time-oriented evaluation scenario, where models are <br>trained on data from the less recent past while their performance is evaluated <br>on data from the more recent past. This is the approach we adopt to account for <br>the evolving treatment trends in the HIV clinical practice and thus offer a <br>realistic model assessment.}, }
Endnote
%0 Thesis %A Bogojeska, Jasmina %Y Lengauer, Thomas %A referee: Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Statistical Learning Methods for Bias-aware HIV Therapy Screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-119A-8 %F EDOC: 618815 %U http://scidok.sulb.uni-saarland.de/volltexte/2012/4547/ %F OTHER: Local-ID: C125673F004B2D7B-B354E6F7403CA747C1257975005027FD-BogojeskaPhD2011 %R 10.22028/D291-26255 %U urn:nbn:de:bsz:291-scidok-45475 %F OTHER: hdl:20.500.11880/26311 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %P 135 p. %V phd %9 phd %X The human immunodeficiency virus (HIV) is the causative agent of the acquired <br>immunodeficiency syndrome (AIDS) which claimed nearly $30$ million lives and is <br>arguably among the worst plagues in human history. With no cure or vaccine in <br>sight, HIV patients are treated by administration of combinations of <br>antiretroviral drugs. The very large number of such combinations makes the <br>manual search for an effective therapy practically impossible, especially in <br>advanced stages of the disease. Therapy selection can be supported by <br>statistical methods that predict the outcomes of candidate therapies. However, <br>these methods are based on clinical data sets that are biased in many ways. The <br>main sources of bias are the evolving trends of treating HIV patients, the <br>sparse, uneven therapy representation, the different treatment backgrounds of <br>the clinical samples and the differing abundances of the various <br>therapy-experience levels.<br><br>In this thesis we focus on the problem of devising bias-aware statistical <br>learning methods for HIV therapy screening -- predicting the effectiveness of <br>HIV combination therapies. For this purpose we develop five novel approaches <br>that when predicting outcomes of HIV therapies address the aforementioned <br>biases in the clinical data sets. Three of the approaches aim for good <br>prediction performance for every drug combination independent of its abundance <br>in the HIV clinical data set. To achieve this, they balance the sparse and <br>uneven therapy representation by using different routes of sharing common <br>knowledge among related therapies. The remaining two approaches additionally <br>account for the bias originating from the differing treatment histories of the <br>samples making up the HIV clinical data sets. For this purpose, both methods <br>predict the response of an HIV combination therapy by taking not only the most <br>recent (target) therapy but also available information from preceding therapies <br>into account. In this way they provide good predictions for advanced patients <br>in mid to late stages of HIV treatment, and for rare drug combinations.<br><br>All our methods use the time-oriented evaluation scenario, where models are <br>trained on data from the less recent past while their performance is evaluated <br>on data from the more recent past. This is the approach we adopt to account for <br>the evolving treatment trends in the HIV clinical practice and thus offer a <br>realistic model assessment. %U http://scidok.sulb.uni-saarland.de/volltexte/2012/4547/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
478. Bozek K: Analysis of HIV-host interaction on different scales. Universität des Saarlandes; 2011.
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@phdthesis{BozekDiss2011, TITLE = {Analysis of {HIV}-host interaction on different scales}, AUTHOR = {Bozek, Katarzyna}, LANGUAGE = {eng}, URL = {http://scidok.sulb.uni-saarland.de/volltexte/2012/4529/; urn:nbn:de:bsz:291-scidok-45297}, DOI = {10.22028/D291-26285}, LOCALID = {Local-ID: C125673F004B2D7B-D454DEBABE060435C125798100144241-BozekDiss2011}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Bozek, Katarzyna %Y Lengauer, Thomas %A referee: L&#228;ssig, Michael %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Analysis of HIV-host interaction on different scales : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1197-E %F EDOC: 618820 %U http://scidok.sulb.uni-saarland.de/volltexte/2012/4529/ %F OTHER: Local-ID: C125673F004B2D7B-D454DEBABE060435C125798100144241-BozekDiss2011 %R 10.22028/D291-26285 %U urn:nbn:de:bsz:291-scidok-45297 %F OTHER: hdl:20.500.11880/26341 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %P VII, 171 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2012/4529/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
479. Cerdeira LT, Carneir AR, Ramos RTJ, de Almeida SS, Alfonseca V, Schneider MPC, Baumbach J, Tauch A, McCulloch JA, Azevedo VAC, Silva A: Rapid hybrid de novo assembly of a microbial genome using only short reads: Corynebacterium pseudotuberculosis I19 as a case study. Journal of Microbiological Methods 2011, 86.
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@article{Baumbach2011e, TITLE = {Rapid hybrid de novo assembly of a microbial genome using only short reads: Corynebacterium pseudotuberculosis I19 as a case study}, AUTHOR = {Cerdeira, Louise Teixeira and Carneir, Aadriana Ribeiro and Ramos, Rommel Thiago Juca and de Almeida, Sintia Silva and Alfonseca, Vivian and Schneider, Maria Paula Cruz and Baumbach, Jan and Tauch, Andreas and McCulloch, John Anthony and Azevedo, Vasco Ariston Carvalho and Silva, Aartur}, LANGUAGE = {eng}, ISSN = {0167-7012}, URL = {http://dx.doi.org/10.1016/j.mimet.2011.05.008}, DOI = {10.1016/j.mimet.2011.05.008}, LOCALID = {Local-ID: C125673F004B2D7B-201B63DD81C17CF1C125798400513FB7-Baumbach2011e}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Microbiological Methods}, VOLUME = {86}, NUMBER = {2}, PAGES = {218--223}, }
Endnote
%0 Journal Article %A Cerdeira, Louise Teixeira %A Carneir, Aadriana Ribeiro %A Ramos, Rommel Thiago Juca %A de Almeida, Sintia Silva %A Alfonseca, Vivian %A Schneider, Maria Paula Cruz %A Baumbach, Jan %A Tauch, Andreas %A McCulloch, John Anthony %A Azevedo, Vasco Ariston Carvalho %A Silva, Aartur %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Rapid hybrid de novo assembly of a microbial genome using only short reads: Corynebacterium pseudotuberculosis I19 as a case study : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1368-8 %F EDOC: 618824 %R 10.1016/j.mimet.2011.05.008 %U http://dx.doi.org/10.1016/j.mimet.2011.05.008 %F OTHER: Local-ID: C125673F004B2D7B-201B63DD81C17CF1C125798400513FB7-Baumbach2011e %D 2011 %* Review method: peer-reviewed %J Journal of Microbiological Methods %V 86 %N 2 %& 218 %P 218 - 223 %I Elsevier %C Amsterdam %@ false
480. Codoner F, Pou C, Thielen A, García F, Delgado R, Dalmau D, Álvarez-Tejado M, Ruiz L, Clotet B, Paredes R: Added value of deep sequencing relative to population sequencing in heavily pre-treated HIV-1-infected subjects. PLoS ONE 2011, 6.
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@article{Codoner2011, TITLE = {Added value of deep sequencing relative to population sequencing in heavily pre-treated {HIV}-1-infected subjects}, AUTHOR = {Codoner, Francisco and Pou, Christian and Thielen, Alexander and Garc{\'i}a, Federico and Delgado, Rafael and Dalmau, David and {\'A}lvarez-Tejado, Miguel and Ruiz, Lidia and Clotet, Bonaventura and Paredes, Roger}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://dx.doi.org/10.1371/journal.pone.0019461}, DOI = {10.1371/journal.pone.0019461}, LOCALID = {Local-ID: C125673F004B2D7B-96489E267198CDB0C12579A3004B3FFF-Codoner2011}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2011}, DATE = {2011}, JOURNAL = {PLoS ONE}, VOLUME = {6}, NUMBER = {5}, PAGES = {e19461,1--e19461,5}, }
Endnote
%0 Journal Article %A Codoner, Francisco %A Pou, Christian %A Thielen, Alexander %A Garc&#237;a, Federico %A Delgado, Rafael %A Dalmau, David %A &#193;lvarez-Tejado, Miguel %A Ruiz, Lidia %A Clotet, Bonaventura %A Paredes, Roger %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Added value of deep sequencing relative to population sequencing in heavily pre-treated HIV-1-infected subjects : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-130A-9 %F EDOC: 618833 %R 10.1371/journal.pone.0019461 %U http://dx.doi.org/10.1371/journal.pone.0019461 %F OTHER: Local-ID: C125673F004B2D7B-96489E267198CDB0C12579A3004B3FFF-Codoner2011 %D 2011 %J PLoS ONE %V 6 %N 5 %& e19461,1 %P e19461,1 - e19461,5 %I Public Library of Science %C San Francisco, CA %@ false
481. Däumer M, Kaiser R, Klein R, Lengauer T, Thiele B, Thielen A: Genotypic Tropism Testing by Massively Parallel Sequencing: Qualitative and Quantitative Analysis. BMC Medical Informatics and Decision Making 2011, 11.
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@article{Lengauer2011b, TITLE = {Genotypic Tropism Testing by Massively Parallel Sequencing: Qualitative and Quantitative Analysis}, AUTHOR = {D{\"a}umer, Martin and Kaiser, Rolf and Klein, Rolf and Lengauer, Thomas and Thiele, Bernhard and Thielen, Alexander}, LANGUAGE = {eng}, ISSN = {1472-6947}, URL = {http://dx.doi.org/10.1186/1472-6947-11-30}, DOI = {10.1186/1472-6947-11-30}, LOCALID = {Local-ID: C125673F004B2D7B-9E15B974ACB2A85AC1257991003E206B-Lengauer2011b}, PUBLISHER = {Biomed Central}, ADDRESS = {London, UK}, YEAR = {2011}, DATE = {2011}, JOURNAL = {BMC Medical Informatics and Decision Making}, VOLUME = {11}, NUMBER = {1}, PAGES = {1--8}, EID = {30}, }
Endnote
%0 Journal Article %A D&#228;umer, Martin %A Kaiser, Rolf %A Klein, Rolf %A Lengauer, Thomas %A Thiele, Bernhard %A Thielen, Alexander %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotypic Tropism Testing by Massively Parallel Sequencing: Qualitative and Quantitative Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-133D-8 %F EDOC: 618829 %R 10.1186/1472-6947-11-30 %U http://dx.doi.org/10.1186/1472-6947-11-30 %F OTHER: Local-ID: C125673F004B2D7B-9E15B974ACB2A85AC1257991003E206B-Lengauer2011b %D 2011 %J BMC Medical Informatics and Decision Making %V 11 %N 1 %& 1 %P 1 - 8 %Z sequence number: 30 %I Biomed Central %C London, UK %@ false %U https://rdcu.be/dOT9a
482. Doncheva NT, Klein K, Domingues FS, Albrecht M: Analyzing and Visualizing Residue Networks of Protein Structures. Trends in Biochemical Sciences 2011, 36.
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@article{Albrecht2011c, TITLE = {Analyzing and Visualizing Residue Networks of Protein Structures}, AUTHOR = {Doncheva, Nadezhda T. and Klein, Karsten and Domingues, Francisco S. and Albrecht, Mario}, LANGUAGE = {eng}, URL = {http://dx.doi.org/10.1016/j.tibs.2011.01.002}, DOI = {10.1016/j.tibs.2011.01.002}, LOCALID = {Local-ID: C125673F004B2D7B-E1E316E113D3FC27C125782B00550967-Albrecht2011c}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Trends in Biochemical Sciences}, VOLUME = {36}, NUMBER = {4}, PAGES = {179--182}, }
Endnote
%0 Journal Article %A Doncheva, Nadezhda T. %A Klein, Karsten %A Domingues, Francisco S. %A Albrecht, Mario %+ External Organizations Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analyzing and Visualizing Residue Networks of Protein Structures : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-130E-1 %F EDOC: 618798 %R 10.1016/j.tibs.2011.01.002 %U http://dx.doi.org/10.1016/j.tibs.2011.01.002 %F OTHER: Local-ID: C125673F004B2D7B-E1E316E113D3FC27C125782B00550967-Albrecht2011c %7 2011 %D 2011 %* Review method: peer-reviewed %J Trends in Biochemical Sciences %V 36 %N 4 %& 179 %P 179 - 182 %I Elsevier %C Amsterdam
483. Döring M: Web Implementation of the HBV Dual Infection Model. Universität des Saarlandes; 2011.
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@mastersthesis{Doering2011, TITLE = {Web Implementation of the {HBV} Dual Infection Model}, AUTHOR = {D{\"o}ring, Matthias}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-DBAA200907674FFCC12579A3004C66D5-Doering2011}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saabr{\"u}cken}, YEAR = {2011}, DATE = {2011}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A D&#246;ring, Matthias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Web Implementation of the HBV Dual Infection Model : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1378-4 %F EDOC: 618836 %F OTHER: Local-ID: C125673F004B2D7B-DBAA200907674FFCC12579A3004C66D5-Doering2011 %I Universit&#228;t des Saarlandes %C Saabr&#252;cken %D 2011 %V bachelor %9 bachelor
484. Emig D, Albrecht M: Tissue-specific proteins and functional implications. Journal of Proteome Research 2011, 10.
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@article{Albrecht2011b, TITLE = {Tissue-specific proteins and functional implications}, AUTHOR = {Emig, Dorothea and Albrecht, Mario}, LANGUAGE = {eng}, URL = {http://dx.doi.org/10.1021/pr101132h}, DOI = {10.1021/pr101132h}, LOCALID = {Local-ID: C125673F004B2D7B-62CB25F210F6417DC125782B0054CDC0-Albrecht2011b}, PUBLISHER = {ACS}, ADDRESS = {Washington, DC}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Proteome Research}, VOLUME = {10}, NUMBER = {4}, PAGES = {1893--1903}, }
Endnote
%0 Journal Article %A Emig, Dorothea %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Tissue-specific proteins and functional implications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1376-8 %F EDOC: 618797 %R 10.1021/pr101132h %U http://dx.doi.org/10.1021/pr101132h %F OTHER: Local-ID: C125673F004B2D7B-62CB25F210F6417DC125782B0054CDC0-Albrecht2011b %D 2011 %* Review method: peer-reviewed %J Journal of Proteome Research %V 10 %N 4 %& 1893 %P 1893 - 1903 %I ACS %C Washington, DC
485. Emig D, Sander O, Mayr G, Albrecht M: Structure collisions between interacting proteins. PLoS ONE 2011, 6.
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@article{Albrecht2011e, TITLE = {Structure collisions between interacting proteins}, AUTHOR = {Emig, Dorothea and Sander, Oliver and Mayr, Gabriele and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://dx.doi.org/10.1371/journal.pone.0019581}, DOI = {10.1371/journal.pone.0019581}, LOCALID = {Local-ID: C125673F004B2D7B-CC4F33DAD78D6515C125787000600861-Albrecht2011e}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2011}, DATE = {2011}, JOURNAL = {PLoS ONE}, VOLUME = {6}, NUMBER = {6}, PAGES = {e19581,1--e19581,7}, }
Endnote
%0 Journal Article %A Emig, Dorothea %A Sander, Oliver %A Mayr, Gabriele %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structure collisions between interacting proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1374-C %F EDOC: 618808 %R 10.1371/journal.pone.0019581 %U http://dx.doi.org/10.1371/journal.pone.0019581 %F OTHER: Local-ID: C125673F004B2D7B-CC4F33DAD78D6515C125787000600861-Albrecht2011e %D 2011 %J PLoS ONE %V 6 %N 6 %& e19581,1 %P e19581,1 - e19581,7 %I Public Library of Science %C San Francisco, CA %@ false
486. Emig D, Kacprowski T, Albrecht M: Measuring and analyzing tissue specificity of human genes and protein complexes. EURASIP Journal on Bioinformatics and Systems Biology 2011, 2011.
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@article{Albrecht2011f, TITLE = {Measuring and analyzing tissue specificity of human genes and protein complexes}, AUTHOR = {Emig, Dorothea and Kacprowski, Tim and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1687-4153}, URL = {http://dx.doi.org/10.1186/1687-4153-2011-5}, DOI = {10.1186/1687-4153-2011-5}, LOCALID = {Local-ID: C125673F004B2D7B-C1FAC5736B4F6323C1257979005DDE82-Albrecht2011f}, PUBLISHER = {Springer Open}, ADDRESS = {New York , NY}, YEAR = {2011}, DATE = {2011}, JOURNAL = {EURASIP Journal on Bioinformatics and Systems Biology}, VOLUME = {2011}, NUMBER = {1}, PAGES = {5,1--5,6}, }
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%0 Journal Article %A Emig, Dorothea %A Kacprowski, Tim %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Measuring and analyzing tissue specificity of human genes and protein complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1354-3 %F EDOC: 618817 %R 10.1186/1687-4153-2011-5 %U http://dx.doi.org/10.1186/1687-4153-2011-5 %F OTHER: Local-ID: C125673F004B2D7B-C1FAC5736B4F6323C1257979005DDE82-Albrecht2011f %D 2011 %* Review method: peer-reviewed %J EURASIP Journal on Bioinformatics and Systems Biology %V 2011 %N 1 %& 5,1 %P 5,1 - 5,6 %I Springer Open %C New York , NY %@ false
487. Emig D: Novel analysis approaches to context-dependent molecular networks. Universität des Saarlandes; 2011.
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@phdthesis{Emig2011, TITLE = {Novel analysis approaches to context-dependent molecular networks}, AUTHOR = {Emig, Dorothea}, LANGUAGE = {eng}, URL = {http://scidok.sulb.uni-saarland.de/volltexte/2011/3843/; urn:nbn:de:bsz:291-scidok-38433}, DOI = {10.22028/D291-26027}, LOCALID = {Local-ID: C125673F004B2D7B-E1ADC0DDC6CE7F89C12579A5000A2C91-Emig2011}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Emig, Dorothea %Y Albrecht, Mario %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Novel analysis approaches to context-dependent molecular networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-11B7-6 %F EDOC: 618841 %U http://scidok.sulb.uni-saarland.de/volltexte/2011/3843/ %F OTHER: Local-ID: C125673F004B2D7B-E1ADC0DDC6CE7F89C12579A5000A2C91-Emig2011 %R 10.22028/D291-26027 %U urn:nbn:de:bsz:291-scidok-38433 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %P XVII, 144 p. %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2011/3843/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
488. Feuerbach L, Lyngso RB, Lengauer T, Hein J: Reconstructing the ancestral germline methylation state of young repeats. Molecular Biology and Evolution 2011, 28.
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@article{Feuerbach2011a, TITLE = {Reconstructing the ancestral germline methylation state of young repeats}, AUTHOR = {Feuerbach, Lars and Lyngso, Rune B. and Lengauer, Thomas and Hein, Jotun}, LANGUAGE = {eng}, ISSN = {0737-4038}, URL = {http://dx.doi.org/10.1093/molbev/msr001}, DOI = {10.1093/molbev/msr001}, LOCALID = {Local-ID: C125673F004B2D7B-B8513630A1304992C1257848004D2F99-Feuerbach2011a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Molecular Biology and Evolution}, VOLUME = {28}, NUMBER = {6}, PAGES = {1777--1784}, }
Endnote
%0 Journal Article %A Feuerbach, Lars %A Lyngso, Rune B. %A Lengauer, Thomas %A Hein, Jotun %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Reconstructing the ancestral germline methylation state of young repeats : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-136A-4 %F EDOC: 618806 %R 10.1093/molbev/msr001 %U http://dx.doi.org/10.1093/molbev/msr001 %F OTHER: Local-ID: C125673F004B2D7B-B8513630A1304992C1257848004D2F99-Feuerbach2011a %D 2011 %* Review method: peer-reviewed %J Molecular Biology and Evolution %V 28 %N 6 %& 1777 %P 1777 - 1784 %I Oxford University Press %C Oxford, UK %@ false
489. Gu H, Smith ZD, Bock C, Boyle P, Gnirke A, Meissner A: Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling. Nature Protocols 2011, 6.
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@article{BockNatureProtocols2011, TITLE = {Preparation of reduced representation bisulfite sequencing libraries for genome-scale {DNA} methylation profiling}, AUTHOR = {Gu, Hongcang and Smith, Zachary D. and Bock, Christoph and Boyle, Patrick and Gnirke, Andreas and Meissner, Alexander}, LANGUAGE = {eng}, ISSN = {1754-2189}, URL = {http://dx.doi.org/10.1038/nprot.2010.190}, DOI = {10.1038/nprot.2010.190}, LOCALID = {Local-ID: C125673F004B2D7B-6A8A7392D320402EC12579CA0037E95A-BockNatureProtocols2011}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Nature Protocols}, VOLUME = {6}, NUMBER = {4}, PAGES = {468--481}, }
Endnote
%0 Journal Article %A Gu, Hongcang %A Smith, Zachary D. %A Bock, Christoph %A Boyle, Patrick %A Gnirke, Andreas %A Meissner, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1360-7 %F EDOC: 618845 %R 10.1038/nprot.2010.190 %U http://dx.doi.org/10.1038/nprot.2010.190 %F OTHER: Local-ID: C125673F004B2D7B-6A8A7392D320402EC12579CA0037E95A-BockNatureProtocols2011 %D 2011 %* Review method: peer-reviewed %J Nature Protocols %V 6 %N 4 %& 468 %P 468 - 481 %I Nature Publishing Group %C London %@ false
490. Hauschild A-C: Modeling HIV Neutralization. Universität des Saarlandes; 2011.
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@mastersthesis{Hauschild2011a, TITLE = {Modeling {HIV} Neutralization}, AUTHOR = {Hauschild, Anne-Christin}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-662652516C4508B0C1257834003F9FD4-Hauschild2011a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Hauschild, Anne-Christin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Modeling HIV Neutralization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1356-0 %F EDOC: 618802 %F OTHER: Local-ID: C125673F004B2D7B-662652516C4508B0C1257834003F9FD4-Hauschild2011a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V master %9 master
491. Hofmann WP, Chung TL, Osbahr C, Susser S, Karey U, Mihm U, Welsch C, Lötsch J, Sarrazin C, Zeuzem S, Herrmann E: Impact of ribavirin on HCV replicon RNA decline during treatment with interferon-α and the protease inhibitors boceprevir or telaprevir. Antiviral Therapy 2011, 16.
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@article{Welsch2011, TITLE = {Impact of ribavirin on {HCV} replicon {RNA} decline during treatment with interferon-$\alpha$ and the protease inhibitors boceprevir or telaprevir}, AUTHOR = {Hofmann, Wolf Peter and Chung, Tje Lin and Osbahr, Carola and Susser, Simone and Karey, Ursel and Mihm, Ulrike and Welsch, Christoph and L{\"o}tsch, J{\"o}rn and Sarrazin, Christoph and Zeuzem, Stefan and Herrmann, Eva}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://dx.doi.org/0.3851/IMP1821}, DOI = {0.3851/IMP1821}, LOCALID = {Local-ID: C125673F004B2D7B-F541A179EFE9A25CC12579CA003B588D-Welsch2011}, PUBLISHER = {International Medical Press}, ADDRESS = {Oxford}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Antiviral Therapy}, VOLUME = {16}, NUMBER = {5}, PAGES = {695--704}, }
Endnote
%0 Journal Article %A Hofmann, Wolf Peter %A Chung, Tje Lin %A Osbahr, Carola %A Susser, Simone %A Karey, Ursel %A Mihm, Ulrike %A Welsch, Christoph %A L&#246;tsch, J&#246;rn %A Sarrazin, Christoph %A Zeuzem, Stefan %A Herrmann, Eva %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Impact of ribavirin on HCV replicon RNA decline during treatment with interferon-&#945; and the protease inhibitors boceprevir or telaprevir : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1349-E %F EDOC: 618846 %R 0.3851/IMP1821 %U http://dx.doi.org/0.3851/IMP1821 %F OTHER: Local-ID: C125673F004B2D7B-F541A179EFE9A25CC12579CA003B588D-Welsch2011 %D 2011 %* Review method: peer-reviewed %J Antiviral Therapy %V 16 %N 5 %& 695 %P 695 - 704 %I International Medical Press %C Oxford %@ false
492. Hoinka J-M: Finding the Hairpin in the Haystack: Towards an High Throughput in Silico Pipeline for Aptamer Motif Identification using SELEX Data. Universität des Saarlandes; 2011.
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@mastersthesis{Hoinka2011a, TITLE = {Finding the Hairpin in the Haystack: Towards an High Throughput in Silico Pipeline for Aptamer Motif Identification using {SELEX} Data}, AUTHOR = {Hoinka, Jan-Malte}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-AB3E59A772A1FA28C1257834003F5BF1-Hoinka2011a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Hoinka, Jan-Malte %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Finding the Hairpin in the Haystack: Towards an High Throughput in Silico Pipeline for Aptamer Motif Identification using SELEX Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1337-3 %F EDOC: 618800 %F OTHER: Local-ID: C125673F004B2D7B-AB3E59A772A1FA28C1257834003F5BF1-Hoinka2011a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V master %9 master
493. Jing C: A comprehensive analysis of the illumina Infinium assay. Universität des Saarlandes; 2011.
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@mastersthesis{Jing2011a, TITLE = {A comprehensive analysis of the illumina Infinium assay}, AUTHOR = {Jing, Cui}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-DD6E6DB9A98C7A1CC1257834003F8B4E-Jing2011a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Jing, Cui %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A comprehensive analysis of the illumina Infinium assay : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1306-2 %F EDOC: 618801 %F OTHER: Local-ID: C125673F004B2D7B-DD6E6DB9A98C7A1CC1257834003F8B4E-Jing2011a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V master %9 master
494. Kacprowski T: Disease gene prioritization by combining network information and functional knowledge. Universität des Saarlandes; 2011.
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@mastersthesis{Kacprowski2011, TITLE = {Disease gene prioritization by combining network information and functional knowledge}, AUTHOR = {Kacprowski, Tim}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7088F732EB1835CEC12579A500093902-Kacprowski2011}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Kacprowski, Tim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Disease gene prioritization by combining network information and functional knowledge : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1328-5 %F EDOC: 618840 %F OTHER: Local-ID: C125673F004B2D7B-7088F732EB1835CEC12579A500093902-Kacprowski2011 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V master %9 master
495. Knoepfel S, Di Giallonardoc F, Däumer M, Thielen A, Metzner KJ: In-depth analysis of G-to-A hypermutation rate in HIV-1 env DNA induced by endogenous APOBEC3 proteins using massively parallel sequencing. Journal of Virological Methods 2011, 71.
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@article{Knoepfel2010, TITLE = {In-depth analysis of G-to-A hypermutation rate in {HIV}-1 env {DNA} induced by endogenous {APOBEC3} proteins using massively parallel sequencing}, AUTHOR = {Knoepfel, Stefanie and Di Giallonardoc, Francesca and D{\"a}umer, Martin and Thielen, Alexander and Metzner, Karin J}, LANGUAGE = {eng}, ISSN = {0166-0934}, URL = {http://dx.doi.org/10.1016/j.jviromet.2010.11.016}, DOI = {10.1016/j.jviromet.2010.11.016}, LOCALID = {Local-ID: C125673F004B2D7B-802E7F1E070A9430C12577FB002E3F0B-Knoepfel2010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam, NL}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Virological Methods}, VOLUME = {71}, NUMBER = {2}, PAGES = {329--338}, }
Endnote
%0 Journal Article %A Knoepfel, Stefanie %A Di Giallonardoc, Francesca %A D&#228;umer, Martin %A Thielen, Alexander %A Metzner, Karin J %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T In-depth analysis of G-to-A hypermutation rate in HIV-1 env DNA induced by endogenous APOBEC3 proteins using massively parallel sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-134B-A %F EDOC: 618791 %R 10.1016/j.jviromet.2010.11.016 %U http://dx.doi.org/10.1016/j.jviromet.2010.11.016 %F OTHER: Local-ID: C125673F004B2D7B-802E7F1E070A9430C12577FB002E3F0B-Knoepfel2010 %D 2011 %* Review method: peer-reviewed %J Journal of Virological Methods %V 71 %N 2 %& 329 %P 329 - 338 %I Elsevier %C Amsterdam, NL %@ false
496. Krol E, Blom J, Winnebald J, Berhörster A, Barnett MJ, Goesmann A, Baumbach J, Becker A: RhizoRegNet - A database of rhizobial transcription factors and regulatory networks.Journal of Biotechnology 2011, 155.
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@article{Baumbach2011, TITLE = {{RhizoRegNet} -- A database of rhizobial transcription factors and regulatory networks.}, AUTHOR = {Krol, Elizaveta and Blom, Jochen and Winnebald, J{\"o}rn and Berh{\"o}rster, Alexander and Barnett, Melanie J. and Goesmann, Alexander and Baumbach, Jan and Becker, Anke}, LANGUAGE = {eng}, URL = {http://dx.doi.org/10.1016/j.jbiotec.2010.11.004}, DOI = {10.1016/j.jbiotec.2010.11.004}, LOCALID = {Local-ID: C125673F004B2D7B-69DC4420234ACB07C125798000526C2D-Baumbach2011}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Biotechnology}, VOLUME = {155}, NUMBER = {1}, PAGES = {127--134}, }
Endnote
%0 Journal Article %A Krol, Elizaveta %A Blom, Jochen %A Winnebald, J&#246;rn %A Berh&#246;rster, Alexander %A Barnett, Melanie J. %A Goesmann, Alexander %A Baumbach, Jan %A Becker, Anke %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T RhizoRegNet - A database of rhizobial transcription factors and regulatory networks. : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1370-3 %F EDOC: 618819 %R 10.1016/j.jbiotec.2010.11.004 %U http://dx.doi.org/10.1016/j.jbiotec.2010.11.004 %F OTHER: Local-ID: C125673F004B2D7B-69DC4420234ACB07C125798000526C2D-Baumbach2011 %D 2011 %* Review method: peer-reviewed %J Journal of Biotechnology %V 155 %N 1 %& 127 %P 127 - 134 %I Elsevier %C Amsterdam
497. Kumar V, Sun P, Vamathevan J, Li Y, Ingraham K, Palmer L, Huang J, Brown JR: Comparative Genomics of Klebsiella pneumoniae Strains with Different Antibiotic Resistance Profiles. Antimicrobial Agents and Chemotherapy 2011, 55.
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@article{Sun2011, TITLE = {Comparative Genomics of Klebsiella pneumoniae Strains with Different Antibiotic Resistance Profiles}, AUTHOR = {Kumar, Vinod and Sun, Peng and Vamathevan, Jessica and Li, Yong and Ingraham, Karen and Palmer, Leslie and Huang, Jianzhong and Brown, James R.}, LANGUAGE = {eng}, URL = {http://aac.asm.org/content/early/2011/07/11/AAC.00052-11.full.pdf+html}, DOI = {10.1128/AAC.00052-11}, LOCALID = {Local-ID: C125673F004B2D7B-2D9BA507A3D5C628C12579840055F64E-Sun2011}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Antimicrobial Agents and Chemotherapy}, VOLUME = {55}, NUMBER = {9}, PAGES = {4267--4276}, }
Endnote
%0 Journal Article %A Kumar, Vinod %A Sun, Peng %A Vamathevan, Jessica %A Li, Yong %A Ingraham, Karen %A Palmer, Leslie %A Huang, Jianzhong %A Brown, James R. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comparative Genomics of Klebsiella pneumoniae Strains with Different Antibiotic Resistance Profiles : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-131A-5 %F EDOC: 618828 %R 10.1128/AAC.00052-11 %U http://aac.asm.org/content/early/2011/07/11/AAC.00052-11.full.pdf+html %F OTHER: Local-ID: C125673F004B2D7B-2D9BA507A3D5C628C12579840055F64E-Sun2011 %D 2011 %* Review method: peer-reviewed %J Antimicrobial Agents and Chemotherapy %V 55 %N 9 %& 4267 %P 4267 - 4276
498. Kunert L: Maximal Common Subgraph DAGs: Theory and Application to Virtual Screening in Drug Development. Universität des Saarlandes; 2011.
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@phdthesis{Kunert2010a, TITLE = {Maximal Common Subgraph {DAG}s: Theory and Application to Virtual Screening in Drug Development}, AUTHOR = {Kunert, Lars}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-A739E601E6423A92C12578340040221B-Kunert2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Kunert, Lars %A referee: Mehlhorn, Kurt %Y Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Maximal Common Subgraph DAGs: Theory and Application to Virtual Screening in Drug Development : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-11B5-A %F EDOC: 618805 %F OTHER: Local-ID: C125673F004B2D7B-A739E601E6423A92C12578340040221B-Kunert2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V phd %9 phd
499. Lawyer G, Altmann A, Thielen A, Zazzi M, Sönnerborg A, Lengauer T: HIV-1 mutational pathways under multidrug therapy. AIDS Research and Therapy 2011, 8.
Abstract
\textbf{Background} Genotype-derived drug resistance profiles are a valuable asset in HIV-1 therapy decisions. Therapy decisions could be further improved, both in terms of predicting length of current therapy success and in preserving followup therapy options, through better knowledge of mutational pathways- here defined as specific locations on the viral genome which, when mutant, alter the risk that additional specific mutations arise. We limit the search to locations in the reverse transcriptase region of the HIV-1 genome which host resistance mutations to nucleoside (NRTI) and non-nucleoside (NNRTI) reverse transcriptase inhibitors (as listed in the 2008 International AIDS Society report), or which were mutant at therapy start in 5% or more of the therapies studied. \textbf{Methods} A Cox proportional hazards model was fit to each location with the hazard of a mutation at that location during therapy proportional to the presence/absence of mutations at the remaining locations at therapy start. A pathway from preexisting to occurring mutation was indicated if the covariate was both selected as important via smoothly clipped absolute deviation (a form of regularized regression) and had a small p-value. The Cox model also allowed controlling for non-genetic parameters and potential nuisance factors such as viral resistance and number of previous therapies. Results were based on 1981 therapies given to 1495 distinct patients drawn from the EuResist database. \textbf{Results} The strongest influence on the hazard of developing NRTI resistance was having more than four previous therapies, not any one existing resistance mutation. Known NRTI resistance pathways were shown, and previously speculated inhibition between the thymidine analog pathways was evidenced. Evidence was found for a number of specific pathways between NRTI and NNRTI resistance sites. A number of common mutations were shown to increase the hazard of developing both NRTI and NNRTI resistance. Viral resistance to the therapy compounds did not materially effect the hazard of mutation in our model. \textbf{Conclusions} The accuracy of therapy outcome prediction tools may be increased by including the number of previous treatments, and by considering locations in the HIV genome which increase the hazard of developing resistance mutations.
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@article{Lawyer2011, TITLE = {{HIV}-1 mutational pathways under multidrug therapy}, AUTHOR = {Lawyer, Glenn and Altmann, Andr{\'e} and Thielen, Alex and Zazzi, Maurizio and S{\"o}nnerborg, Anders and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1742-6405}, URL = {http://www.aidsrestherapy.com/content/8/1/26}, DOI = {10.1186/1742-6405-8-26}, LOCALID = {Local-ID: C125673F004B2D7B-2F93768291824C79C12579810047FA47-Lawyer2011}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {\textbf{Background} Genotype-derived drug resistance profiles are a valuable asset in HIV-1 therapy decisions. Therapy decisions could be further improved, both in terms of predicting length of current therapy success and in preserving followup therapy options, through better knowledge of mutational pathways- here defined as specific locations on the viral genome which, when mutant, alter the risk that additional specific mutations arise. We limit the search to locations in the reverse transcriptase region of the HIV-1 genome which host resistance mutations to nucleoside (NRTI) and non-nucleoside (NNRTI) reverse transcriptase inhibitors (as listed in the 2008 International AIDS Society report), or which were mutant at therapy start in 5% or more of the therapies studied. \textbf{Methods} A Cox proportional hazards model was fit to each location with the hazard of a mutation at that location during therapy proportional to the presence/absence of mutations at the remaining locations at therapy start. A pathway from preexisting to occurring mutation was indicated if the covariate was both selected as important via smoothly clipped absolute deviation (a form of regularized regression) and had a small p-value. The Cox model also allowed controlling for non-genetic parameters and potential nuisance factors such as viral resistance and number of previous therapies. Results were based on 1981 therapies given to 1495 distinct patients drawn from the EuResist database. \textbf{Results} The strongest influence on the hazard of developing NRTI resistance was having more than four previous therapies, not any one existing resistance mutation. Known NRTI resistance pathways were shown, and previously speculated inhibition between the thymidine analog pathways was evidenced. Evidence was found for a number of specific pathways between NRTI and NNRTI resistance sites. A number of common mutations were shown to increase the hazard of developing both NRTI and NNRTI resistance. Viral resistance to the therapy compounds did not materially effect the hazard of mutation in our model. \textbf{Conclusions} The accuracy of therapy outcome prediction tools may be increased by including the number of previous treatments, and by considering locations in the HIV genome which increase the hazard of developing resistance mutations.}, JOURNAL = {AIDS Research and Therapy}, VOLUME = {8}, NUMBER = {1}, PAGES = {1--13}, EID = {26}, }
Endnote
%0 Journal Article %A Lawyer, Glenn %A Altmann, Andr&#233; %A Thielen, Alex %A Zazzi, Maurizio %A S&#246;nnerborg, Anders %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T HIV-1 mutational pathways under multidrug therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1343-9 %F EDOC: 618821 %R 10.1186/1742-6405-8-26 %U http://www.aidsrestherapy.com/content/8/1/26 %F OTHER: Local-ID: C125673F004B2D7B-2F93768291824C79C12579810047FA47-Lawyer2011 %D 2011 %* Review method: peer-reviewed %X \textbf{Background} Genotype-derived drug resistance profiles are a valuable asset in HIV-1 therapy decisions. Therapy decisions could be further improved, both in terms of predicting length of current therapy success and in preserving followup therapy options, through better knowledge of mutational pathways- here defined as specific locations on the viral genome which, when mutant, alter the risk that additional specific mutations arise. We limit the search to locations in the reverse transcriptase region of the HIV-1 genome which host resistance mutations to nucleoside (NRTI) and non-nucleoside (NNRTI) reverse transcriptase inhibitors (as listed in the 2008 International AIDS Society report), or which were mutant at therapy start in 5% or more of the therapies studied. \textbf{Methods} A Cox proportional hazards model was fit to each location with the hazard of a mutation at that location during therapy proportional to the presence/absence of mutations at the remaining locations at therapy start. A pathway from preexisting to occurring mutation was indicated if the covariate was both selected as important via smoothly clipped absolute deviation (a form of regularized regression) and had a small p-value. The Cox model also allowed controlling for non-genetic parameters and potential nuisance factors such as viral resistance and number of previous therapies. Results were based on 1981 therapies given to 1495 distinct patients drawn from the EuResist database. \textbf{Results} The strongest influence on the hazard of developing NRTI resistance was having more than four previous therapies, not any one existing resistance mutation. Known NRTI resistance pathways were shown, and previously speculated inhibition between the thymidine analog pathways was evidenced. Evidence was found for a number of specific pathways between NRTI and NNRTI resistance sites. A number of common mutations were shown to increase the hazard of developing both NRTI and NNRTI resistance. Viral resistance to the therapy compounds did not materially effect the hazard of mutation in our model. \textbf{Conclusions} The accuracy of therapy outcome prediction tools may be increased by including the number of previous treatments, and by considering locations in the HIV genome which increase the hazard of developing resistance mutations. %J AIDS Research and Therapy %V 8 %N 1 %& 1 %P 1 - 13 %Z sequence number: 26 %I BioMed Central %C London %@ false
500. Lengauer T (Ed): Computermodelle in der Wissenschaft - zwischen Analyse, Vorhersage und Suggestion. Stuttgart, Germany: Wissenschaftliche Verlagsgeselleschaft; 2011.
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@book{Lengauer2011c, TITLE = {{Computermodelle in der Wissenschaft -- zwischen Analyse, Vorhersage und Suggestion}}, EDITOR = {Lengauer, Thomas}, LANGUAGE = {deu}, ISBN = {978-38047-2802-8}, LOCALID = {Local-ID: C125673F004B2D7B-3E9DF4BFB79DAB4EC125799100486E59-Lengauer2011c}, PUBLISHER = {Wissenschaftliche Verlagsgeselleschaft}, ADDRESS = {Stuttgart, Germany}, YEAR = {2011}, DATE = {2011}, PAGES = {358}, }
Endnote
%0 Edited Book %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computermodelle in der Wissenschaft - zwischen Analyse, Vorhersage und Suggestion : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0010-1322-2 %F EDOC: 618830 %@ 978-38047-2802-8 %F OTHER: Local-ID: C125673F004B2D7B-3E9DF4BFB79DAB4EC125799100486E59-Lengauer2011c %I Wissenschaftliche Verlagsgeselleschaft %C Stuttgart, Germany %D 2011 %P 358
501. Lutsik P, Feuerbach L, Arand J, Lengauer T, Walter J, Bock C: BiQ Analyzer HT: Locus-specific Analysis of DNA Methylation by High-throughput Bisulfite Sequencing. Nucleic Acids Research 2011, 39(Suppl. 2).
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@article{Lutsik-et-al_NAR11, TITLE = {{BiQ} Analyzer {HT}: Locus-specific Analysis of {DNA} Methylation by High-throughput Bisulfite Sequencing}, AUTHOR = {Lutsik, Pavlo and Feuerbach, Lars and Arand, Julia and Lengauer, Thomas and Walter, J{\"o}rn and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {0305-1048}, URL = {http://nar.oxfordjournals.org/content/39/suppl_2/W551.full.pdf+html?sid=6b806b0d-6940-41b0-a73f-5c2a2bc2fb43}, DOI = {10.1093/nar/gkr312}, LOCALID = {Local-ID: C125673F004B2D7B-A49327FE99C2F038C1257964004D5598-LutsikFeuerbach2011}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Nucleic Acids Research}, VOLUME = {39}, NUMBER = {Suppl. 2}, PAGES = {W551--W556}, }
Endnote
%0 Journal Article %A Lutsik, Pavlo %A Feuerbach, Lars %A Arand, Julia %A Lengauer, Thomas %A Walter, J&#246;rn %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T BiQ Analyzer HT: Locus-specific Analysis of DNA Methylation by High-throughput Bisulfite Sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1314-2 %F EDOC: 618813 %R 10.1093/nar/gkr312 %U http://nar.oxfordjournals.org/content/39/suppl_2/W551.full.pdf+html?sid=6b806b0d-6940-41b0-a73f-5c2a2bc2fb43 %F OTHER: Local-ID: C125673F004B2D7B-A49327FE99C2F038C1257964004D5598-LutsikFeuerbach2011 %D 2011 %* Review method: peer-reviewed %J Nucleic Acids Research %O Nucleic Acids Res %V 39 %N Suppl. 2 %& W551 %P W551 - W556 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/nar/gkr312
502. Morris JH, Apeltsin L, Newman AM, Baumbach J, Wittkop T, Su G, Bader GD, Ferrin TE: clusterMaker: A Multi-algorithm Clustering Plugin for Cytoscape. BMC Bioinformatics 2011, 12.
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@article{Baumbach2011i, TITLE = {{clusterMaker}: A Multi-algorithm Clustering Plugin for Cytoscape}, AUTHOR = {Morris, John H. and Apeltsin, Leonard and Newman, Aaron M. and Baumbach, Jan and Wittkop, Tobias and Su, Gang and Bader, Gary D. and Ferrin, Thomas E.}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://www.biomedcentral.com/content/pdf/1471-2105-12-436.pdf}, DOI = {10.1186/1471-2105-12-436}, LOCALID = {Local-ID: C125673F004B2D7B-C51A0748E9E7F1D9C125798400538F8E-Baumbach2011i}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, JOURNAL = {BMC Bioinformatics}, VOLUME = {12}, NUMBER = {1}, PAGES = {436,1--436,14}, EID = {436}, }
Endnote
%0 Journal Article %A Morris, John H. %A Apeltsin, Leonard %A Newman, Aaron M. %A Baumbach, Jan %A Wittkop, Tobias %A Su, Gang %A Bader, Gary D. %A Ferrin, Thomas E. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T clusterMaker: A Multi-algorithm Clustering Plugin for Cytoscape : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1318-9 %F EDOC: 618825 %R 10.1186/1471-2105-12-436 %U http://www.biomedcentral.com/content/pdf/1471-2105-12-436.pdf %F OTHER: Local-ID: C125673F004B2D7B-C51A0748E9E7F1D9C125798400538F8E-Baumbach2011i %D 2011 %* Review method: peer-reviewed %J BMC Bioinformatics %V 12 %N 1 %& 436,1 %P 436,1 - 436,14 %Z sequence number: 436 %I BioMed Central %C London %@ false
503. Nebot V, Ye M, Albrecht M, Eom J-H, Weikum G: DIDO: A Disease-determinants Ontology from Web Sources. In Proceedings of the 20th International Conference Companion on World Wide Web (WWW 2011). ACM; 2011.
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@inproceedings{Becker2010z, TITLE = {{DIDO}: A Disease--determinants Ontology from Web Sources}, AUTHOR = {Nebot, Victoria and Ye, Min and Albrecht, Mario and Eom, Jae-Hong and Weikum, Gerhard}, LANGUAGE = {eng}, ISBN = {978-1-4503-0518-1}, URL = {http://doi.acm.org/10.1145/1963192.1963298}, DOI = {10.1145/1963192.1963298}, LOCALID = {Local-ID: C1256DBF005F876D-620D539CD12543FBC12578B7002C8687-Becker2010z}, PUBLISHER = {ACM}, YEAR = {2011}, DATE = {2011}, BOOKTITLE = {Proceedings of the 20th International Conference Companion on World Wide Web (WWW 2011)}, EDITOR = {Srinivasan, Sadagopan and Ramamritham, Krithi and Kumar, Arun and Ravindra, M. P. and Bertino, Elisa and Kumar, Ravi}, PAGES = {237--240}, ADDRESS = {Hyderabad, India}, }
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%0 Conference Proceedings %A Nebot, Victoria %A Ye, Min %A Albrecht, Mario %A Eom, Jae-Hong %A Weikum, Gerhard %+ Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society Databases and Information Systems, MPI for Informatics, Max Planck Society %T DIDO: A Disease-determinants Ontology from Web Sources : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1444-0 %F EDOC: 618930 %R 10.1145/1963192.1963298 %U http://doi.acm.org/10.1145/1963192.1963298 %F OTHER: Local-ID: C1256DBF005F876D-620D539CD12543FBC12578B7002C8687-Becker2010z %D 2011 %B 20th International Conference Companion on World Wide Web %Z date of event: 2011-03-28 - 2011-04-01 %C Hyderabad, India %B Proceedings of the 20th International Conference Companion on World Wide Web %E Srinivasan, Sadagopan; Ramamritham, Krithi; Kumar, Arun; Ravindra, M. P.; Bertino, Elisa; Kumar, Ravi %P 237 - 240 %I ACM %@ 978-1-4503-0518-1
504. Pironti A, Altmann A, Büch J, Lengauer T: A Computational Method for Predicting First-Line Antiretroviral Therapy Success. 2011.
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@inproceedings{Pironti2011, TITLE = {A Computational Method for Predicting First-Line Antiretroviral Therapy Success}, AUTHOR = {Pironti, Alejandro and Altmann, Andr{\'e} and B{\"u}ch, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-FDD25ED3A5493D0AC1257878004D2FCC-Pironti2011}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Generic %A Pironti, Alejandro %A Altmann, Andr&#233; %A B&#252;ch, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Computational Method for Predicting First-Line Antiretroviral Therapy Success : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1308-D %F EDOC: 618809 %F OTHER: Local-ID: C125673F004B2D7B-FDD25ED3A5493D0AC1257878004D2FCC-Pironti2011 %D 2011 %Z name of event: Untitled Event %Z date of event: 2011-03-23 - 2011-03-25 %Z place of event: Paphos, Cyprus
505. Ramos RTJ, Carneiro AR, Baumbach J, Azevedo V, Schneider MPC, Silva A: Analysis of quality raw data of second generation sequencers with Quality Assessment Software. BMC Research Notes 2011, 4.
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@article{Baumbach2011c, TITLE = {Analysis of quality raw data of second generation sequencers with Quality Assessment Software}, AUTHOR = {Ramos, Rommel T.J. and Carneiro, Adriana R. and Baumbach, Jan and Azevedo, Vasco and Schneider, Maria P.C. and Silva, Artur}, LANGUAGE = {eng}, URL = {http://www.biomedcentral.com/content/pdf/1756-0500-4-130.pdf}, DOI = {10.1186/1756-0500-4-130}, LOCALID = {Local-ID: C125673F004B2D7B-3D1630A8AF4DA426C125798400505C12-Baumbach2011c}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, JOURNAL = {BMC Research Notes}, VOLUME = {4}, NUMBER = {1}, PAGES = {130,1--130,6}, EID = {130}, }
Endnote
%0 Journal Article %A Ramos, Rommel T.J. %A Carneiro, Adriana R. %A Baumbach, Jan %A Azevedo, Vasco %A Schneider, Maria P.C. %A Silva, Artur %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis of quality raw data of second generation sequencers with Quality Assessment Software : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-130C-5 %F EDOC: 618823 %R 10.1186/1756-0500-4-130 %U http://www.biomedcentral.com/content/pdf/1756-0500-4-130.pdf %F OTHER: Local-ID: C125673F004B2D7B-3D1630A8AF4DA426C125798400505C12-Baumbach2011c %D 2011 %* Review method: peer-reviewed %J BMC Research Notes %V 4 %N 1 %& 130,1 %P 130,1 - 130,6 %Z sequence number: 130 %I BioMed Central %C London
506. Reiss S, Rebhan I, Backes P, Romero-Brey I, Erfle H, Matula P, Kaderali L, Poenisch M, Blankenburg H, Hiet M-S, Longerich T, Diehl S, Ramírez F, Balla T, Rohr K, Kaul A, Bühler S, Pepperkok R, Lengauer T, Albrecht M, Eils R, Schirmacher P, Lohmann V, Bartenschlager R: Recruitment and activation of a lipid kinase by hepatitis C virus NS5A is essential for integrity of the membranous replication compartment. Cell Host & Microbe 2011, 9.
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@article{Albrecht2011a, TITLE = {Recruitment and activation of a lipid kinase by hepatitis C virus {NS5A} is essential for integrity of the membranous replication compartment}, AUTHOR = {Reiss, Simon and Rebhan, Ilka and Backes, Perdita and Romero-Brey, Ines and Erfle, Holger and Matula, Petr and Kaderali, Lars and Poenisch, Marion and Blankenburg, Hagen and Hiet, Marie-Sophie and Longerich, Thomas and Diehl, Sarah and Ram{\'i}rez, Fidel and Balla, Tamas and Rohr, Karl and Kaul, Artur and B{\"u}hler, Sandra and Pepperkok, Rainer and Lengauer, Thomas and Albrecht, Mario and Eils, Roland and Schirmacher, Peter and Lohmann, Volker and Bartenschlager, Ralf}, LANGUAGE = {eng}, ISSN = {1931-3128}, URL = {http://dx.doi.org/10.1016/j.chom.2010.12.002}, DOI = {10.1016/j.chom.2010.12.002}, LOCALID = {Local-ID: C125673F004B2D7B-238E61F40782DB5DC125782B0054B3B1-Albrecht2011a}, PUBLISHER = {Cell Press}, ADDRESS = {Cambridge, Mass.}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Cell Host \& Microbe}, VOLUME = {9}, NUMBER = {1}, PAGES = {32--45}, }
Endnote
%0 Journal Article %A Reiss, Simon %A Rebhan, Ilka %A Backes, Perdita %A Romero-Brey, Ines %A Erfle, Holger %A Matula, Petr %A Kaderali, Lars %A Poenisch, Marion %A Blankenburg, Hagen %A Hiet, Marie-Sophie %A Longerich, Thomas %A Diehl, Sarah %A Ram&#237;rez, Fidel %A Balla, Tamas %A Rohr, Karl %A Kaul, Artur %A B&#252;hler, Sandra %A Pepperkok, Rainer %A Lengauer, Thomas %A Albrecht, Mario %A Eils, Roland %A Schirmacher, Peter %A Lohmann, Volker %A Bartenschlager, Ralf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Recruitment and activation of a lipid kinase by hepatitis C virus NS5A is essential for integrity of the membranous replication compartment : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-136C-F %F EDOC: 618796 %R 10.1016/j.chom.2010.12.002 %U http://dx.doi.org/10.1016/j.chom.2010.12.002 %F OTHER: Local-ID: C125673F004B2D7B-238E61F40782DB5DC125782B0054B3B1-Albrecht2011a %D 2011 %* Review method: peer-reviewed %J Cell Host & Microbe %V 9 %N 1 %& 32 %P 32 - 45 %I Cell Press %C Cambridge, Mass. %@ false
507. Reuter K: Estimating and Using the Uncertainty in the Phenotypic Resistance Assay of the Hepatitis B Virus to Improve IC-50 Prediction from Genotype. Universität des Saarlandes; 2011.
Abstract
Hepatitis B is one of the most frequent infectious diseases worldwide. Thus improvement of therapy is an active area of research. Since the hepatitis B virus can adapt to treatment in terms of resistance mutations, therapeutic approaches often fail. With computational support and statistical learning methods, it is possible to adjust therapy according to the underlying virus. In consequence, an improvement of therapy is enabled due to individual treatment. In this thesis, an approach to predict the resistance from genome sequence is presented. Resistance is defined in terms of viral IC-50 concentration. A special feature described is the usage of sample specific weights based on the precision of the phenotypic assay. These weights are meant to overcome a distortion of prediction results caused by experimental measurement errors. For this purpose, the LASSO and linear support vector machines were trained with 367 hepatitis B clones treated with four approved antiviral drugs. Using uncertainty estimates, it was possible to moderately improve prediction of the IC50 value from genotype for two out of four drugs. In summary, this thesis provides a recent approach to support individual treatment by improving prediction of the IC-50 value from viral genotype using sample specific weights.
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@mastersthesis{Reuter2011, TITLE = {Estimating and Using the Uncertainty in the Phenotypic Resistance Assay of the Hepatitis B Virus to Improve {IC}-50 Prediction from Genotype}, AUTHOR = {Reuter, Kerstin}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-E9F781C21284C83AC12579A3004CAC1A-Reuter2011}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {Hepatitis B is one of the most frequent infectious diseases worldwide. Thus improvement of therapy is an active area of research. Since the hepatitis B virus can adapt to treatment in terms of resistance mutations, therapeutic approaches often fail. With computational support and statistical learning methods, it is possible to adjust therapy according to the underlying virus. In consequence, an improvement of therapy is enabled due to individual treatment. In this thesis, an approach to predict the resistance from genome sequence is presented. Resistance is defined in terms of viral IC-50 concentration. A special feature described is the usage of sample specific weights based on the precision of the phenotypic assay. These weights are meant to overcome a distortion of prediction results caused by experimental measurement errors. For this purpose, the LASSO and linear support vector machines were trained with 367 hepatitis B clones treated with four approved antiviral drugs. Using uncertainty estimates, it was possible to moderately improve prediction of the IC50 value from genotype for two out of four drugs. In summary, this thesis provides a recent approach to support individual treatment by improving prediction of the IC-50 value from viral genotype using sample specific weights.}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Reuter, Kerstin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating and Using the Uncertainty in the Phenotypic Resistance Assay of the Hepatitis B Virus to Improve IC-50 Prediction from Genotype : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-132F-8 %F EDOC: 618837 %F OTHER: Local-ID: C125673F004B2D7B-E9F781C21284C83AC12579A3004CAC1A-Reuter2011 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V bachelor %9 bachelor %X Hepatitis B is one of the most frequent infectious diseases worldwide. Thus improvement of therapy is an active area of research. Since the hepatitis B virus can adapt to treatment in terms of resistance mutations, therapeutic approaches often fail. With computational support and statistical learning methods, it is possible to adjust therapy according to the underlying virus. In consequence, an improvement of therapy is enabled due to individual treatment. In this thesis, an approach to predict the resistance from genome sequence is presented. Resistance is defined in terms of viral IC-50 concentration. A special feature described is the usage of sample specific weights based on the precision of the phenotypic assay. These weights are meant to overcome a distortion of prediction results caused by experimental measurement errors. For this purpose, the LASSO and linear support vector machines were trained with 367 hepatitis B clones treated with four approved antiviral drugs. Using uncertainty estimates, it was possible to moderately improve prediction of the IC50 value from genotype for two out of four drugs. In summary, this thesis provides a recent approach to support individual treatment by improving prediction of the IC-50 value from viral genotype using sample specific weights.
508. Reuter S, Oette M, Wilhelm FC, Beggel B, Kaiser R, Balduin M, Schweitzer F, Verheyen J, Adams O, Lengauer T, Faetkenheuer G, Pfister H, Haeussinger D: Prevalence and characteristics of hepatitis B and C virus infections in treatment-naïve HIV-infected patients. Medical Microbiology and Immunology 2011, 200.
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@article{Reuter2010a, TITLE = {Prevalence and characteristics of hepatitis B and C virus infections in treatment-na{\"i}ve {HIV}-infected patients}, AUTHOR = {Reuter, Stefan and Oette, Mark and Wilhelm, Frank Clemens and Beggel, Bastian and Kaiser, Rolf and Balduin, Melanie and Schweitzer, Finja and Verheyen, Jens and Adams, Ortwin and Lengauer, Thomas and Faetkenheuer, Gerd and Pfister, Herbert and Haeussinger, Dieter}, LANGUAGE = {eng}, ISSN = {0266-8254}, URL = {http://www.springerlink.com/content/u1763l838q647291/fulltext.pdf}, DOI = {10.1007/s00430-010-0172-z}, LOCALID = {Local-ID: C125673F004B2D7B-CD45043052C09CDFC125780000412EDD-Reuter2010a}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Medical Microbiology and Immunology}, VOLUME = {200}, NUMBER = {1}, PAGES = {39--49}, }
Endnote
%0 Journal Article %A Reuter, Stefan %A Oette, Mark %A Wilhelm, Frank Clemens %A Beggel, Bastian %A Kaiser, Rolf %A Balduin, Melanie %A Schweitzer, Finja %A Verheyen, Jens %A Adams, Ortwin %A Lengauer, Thomas %A Faetkenheuer, Gerd %A Pfister, Herbert %A Haeussinger, Dieter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prevalence and characteristics of hepatitis B and C virus infections in treatment-na&#239;ve HIV-infected patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1362-3 %F EDOC: 618792 %R 10.1007/s00430-010-0172-z %U http://www.springerlink.com/content/u1763l838q647291/fulltext.pdf %F OTHER: Local-ID: C125673F004B2D7B-CD45043052C09CDFC125780000412EDD-Reuter2010a %D 2011 %* Review method: peer-reviewed %J Medical Microbiology and Immunology %V 200 %N 1 %& 39 %P 39 - 49 %I Springer %C Berlin %@ false
509. Reuter S, Oette M, Wilhelm FC, Beggel B, Kaiser R, Balduin M, Schweitzer F, Verheyen J, Adams O, Lengauer T, Faetkenheuer G, Pfister H, Haeussinger D: Erratum to: Prevalence and characteristics of hepatitis B and C virus infections in treatment-naïve HIV-infected patients.Medical Microbiology and Immunology 2011, 200.
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@article{Reuter2010b, TITLE = {Erratum to: Prevalence and characteristics of hepatitis B and C virus infections in treatment-na{\"i}ve {HIV}-infected patients.}, AUTHOR = {Reuter, Stefan and Oette, Mark and Wilhelm, Frank Clemens and Beggel, Bastian and Kaiser, Rolf and Balduin, Melanie and Schweitzer, Finja and Verheyen, Jens and Adams, Ortwin and Lengauer, Thomas and Faetkenheuer, Gerd and Pfister, Herbert and Haeussinger, Dieter}, LANGUAGE = {eng}, ISSN = {1472-765X}, URL = {http://www.springerlink.com/content/tq60089n26503561/fulltext.pdf}, DOI = {10.1007/s00430-010-0179-5}, LOCALID = {Local-ID: C125673F004B2D7B-9DEDA9F8D4DD843CC12578000042937A-Reuter2010b}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Medical Microbiology and Immunology}, VOLUME = {200}, NUMBER = {1}, PAGES = {51--51}, }
Endnote
%0 Journal Article %A Reuter, Stefan %A Oette, Mark %A Wilhelm, Frank Clemens %A Beggel, Bastian %A Kaiser, Rolf %A Balduin, Melanie %A Schweitzer, Finja %A Verheyen, Jens %A Adams, Ortwin %A Lengauer, Thomas %A Faetkenheuer, Gerd %A Pfister, Herbert %A Haeussinger, Dieter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Erratum to: Prevalence and characteristics of hepatitis B and C virus infections in treatment-na&#239;ve HIV-infected patients. : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-132D-C %F EDOC: 618793 %R 10.1007/s00430-010-0179-5 %U http://www.springerlink.com/content/tq60089n26503561/fulltext.pdf %F OTHER: Local-ID: C125673F004B2D7B-9DEDA9F8D4DD843CC12578000042937A-Reuter2010b %D 2011 %* Review method: peer-reviewed %J Medical Microbiology and Immunology %V 200 %N 1 %& 51 %P 51 - 51 %I Springer %C New York, NY %@ false
510. Roomp K, Domingues FS: Predicting interactions between T cell receptors and MHC-peptide complexes. Molecular Immunology 2011, 48.
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@article{Roomp2011a, TITLE = {Predicting interactions between T cell receptors and {MHC}-peptide complexes}, AUTHOR = {Roomp, Kirsten and Domingues, Francisco S.}, LANGUAGE = {eng}, URL = {http://dx.doi.org/10.1016/j.molimm.2010.10.014}, DOI = {10.1016/j.molimm.2010.10.014}, LOCALID = {Local-ID: C125673F004B2D7B-BCDFD6F808A33CC0C1257817004C5A1A-Roomp2011a}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Molecular Immunology}, VOLUME = {48}, NUMBER = {4}, PAGES = {553--562}, }
Endnote
%0 Journal Article %A Roomp, Kirsten %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting interactions between T cell receptors and MHC-peptide complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-135A-8 %F EDOC: 618794 %R 10.1016/j.molimm.2010.10.014 %U http://dx.doi.org/10.1016/j.molimm.2010.10.014 %F OTHER: Local-ID: C125673F004B2D7B-BCDFD6F808A33CC0C1257817004C5A1A-Roomp2011a %D 2011 %* Review method: peer-reviewed %J Molecular Immunology %V 48 %N 4 %& 553 %P 553 - 562 %I Elsevier %C Amsterdam
511. Ruiz JC, D’Afonseca V, Silva A, Ali A, Pinto AC, Santos AR, Rocha AAMC, Lopes DO, Dorella FA, Pacheco LGC, Costa MP, Turk MZ, Seyffert N, Moraes PMRO, Soares SC, Almeida SS, Castro TLP, Abreu VAC, Trost E, Baumbach J, Tauch A, Schneider MPC, McCulloch J, Cerdeira LT, Ramos RTJ, Zerlotini A, Dominitini A, Resende DM, Coser EM, Oliveira LM, et al.: Evidence for Reductive Genome Evolution and Lateral Acquisition of Virulence Functions in two Corynebacterium pseudotuberculosis strains. PLoS ONE 2011, 6.
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@article{Baumbach2011b, TITLE = {Evidence for Reductive Genome Evolution and Lateral Acquisition of Virulence Functions in two Corynebacterium pseudotuberculosis strains}, AUTHOR = {Ruiz, Jeronimo C. and D'Afonseca, Vivian and Silva, Artur and Ali, Amjad and Pinto, Anne C. and Santos, Anderson R. and Rocha, Aryanne A. M. C. and Lopes, Debora O. and Dorella, Fernanda A. and Pacheco, Luis G. C. and Costa, Marcilia P. and Turk, Meritxell Z. and Seyffert, Nubia and Moraes, Pablo M. R. O. and Soares, Siomar C. and Almeida, Sintia S. and Castro, Thiago L. P. and Abreu, Vinicius A. C. and Trost, Eva and Baumbach, Jan and Tauch, Andreas and Schneider, Maria P. C. and McCulloch, John and Cerdeira, Louise T. and Ramos, Rommel T. J. and Zerlotini, Adhemar and Dominitini, Anderson and Resende, Daniela M. and Coser, Elisangela M. and Oliveira, Luciana M. and Pedrosa, Andre L. and Vieira, Carlos U. and Guimaraes, Claudia T. and Bartholomeu, Daniela C. and Oliveira, Diana M. and Santos, Fabricio R. and Rabelo, Elida Mara and Lobo, Francisco P. and Franco, Gloria R. and Costa, Ana Flavia and Castro, Ieso M. and Dias, Silvia Regina and Ferro, Jesus A. and Ortega, Jose Miguel and Paiva, Luciano V. and Goulart, Luiz R. and Almeida, Juliana Franco and Ferro, Maria Ines and Carneiro, Newton P. and Falcao, Paula R. K. and Grynberg, Priscila and Teixeira, Santuza M. R. and Brommonschenkel, Sergio and Oliveira, Sergio C. and Meyer, Roberto and Moore, Robert J. and Miyoshi, Anderson and Oliveira, Guilherme C. and Azevedo, Vaco}, LANGUAGE = {eng}, URL = {http://dx.doi.org/10.1016/j.jbiotec.2010.11.004}, DOI = {10.1016/j.jbiotec.2010.11.004}, LOCALID = {Local-ID: C125673F004B2D7B-36F322E6FDB9126AC1257984004FB633-Baumbach2011b}, PUBLISHER = {Public Library of Science}, YEAR = {2011}, DATE = {2011}, JOURNAL = {PLoS ONE}, VOLUME = {6}, NUMBER = {4}, EID = {e18551}, }
Endnote
%0 Journal Article %A Ruiz, Jeronimo C. %A D'Afonseca, Vivian %A Silva, Artur %A Ali, Amjad %A Pinto, Anne C. %A Santos, Anderson R. %A Rocha, Aryanne A. M. C. %A Lopes, Debora O. %A Dorella, Fernanda A. %A Pacheco, Luis G. C. %A Costa, Marcilia P. %A Turk, Meritxell Z. %A Seyffert, Nubia %A Moraes, Pablo M. R. O. %A Soares, Siomar C. %A Almeida, Sintia S. %A Castro, Thiago L. P. %A Abreu, Vinicius A. C. %A Trost, Eva %A Baumbach, Jan %A Tauch, Andreas %A Schneider, Maria P. C. %A McCulloch, John %A Cerdeira, Louise T. %A Ramos, Rommel T. J. %A Zerlotini, Adhemar %A Dominitini, Anderson %A Resende, Daniela M. %A Coser, Elisangela M. %A Oliveira, Luciana M. %A Pedrosa, Andre L. %A Vieira, Carlos U. %A Guimaraes, Claudia T. %A Bartholomeu, Daniela C. %A Oliveira, Diana M. %A Santos, Fabricio R. %A Rabelo, Elida Mara %A Lobo, Francisco P. %A Franco, Gloria R. %A Costa, Ana Flavia %A Castro, Ieso M. %A Dias, Silvia Regina %A Ferro, Jesus A. %A Ortega, Jose Miguel %A Paiva, Luciano V. %A Goulart, Luiz R. %A Almeida, Juliana Franco %A Ferro, Maria Ines %A Carneiro, Newton P. %A Falcao, Paula R. K. %A Grynberg, Priscila %A Teixeira, Santuza M. R. %A Brommonschenkel, Sergio %A Oliveira, Sergio C. %A Meyer, Roberto %A Moore, Robert J. %A Miyoshi, Anderson %A Oliveira, Guilherme C. %A Azevedo, Vaco %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Evidence for Reductive Genome Evolution and Lateral Acquisition of Virulence Functions in two Corynebacterium pseudotuberculosis strains : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1331-F %F EDOC: 618822 %R 10.1016/j.jbiotec.2010.11.004 %U http://dx.doi.org/10.1016/j.jbiotec.2010.11.004 %F OTHER: Local-ID: C125673F004B2D7B-36F322E6FDB9126AC1257984004FB633-Baumbach2011b %D 2011 %J PLoS ONE %V 6 %N 4 %Z sequence number: e18551 %I Public Library of Science
512. Saigo H, Altmann A, Bogojeska J, Müller F, Nowozin S, Lengauer T: Learning from past treatments and their outcome improves prediction of In Vivo response to anti-HIV therapy. Statistical Applications in Genetics and Molecular Biology 2011, 10.
Abstract
Infections with the human immunodeficiency virus type 1 (HIV-1) are treated with combinations of drugs. Unfortunately, HIV responds to the treatment by developing resistance mutations. Consequently, the genome of the viral target proteins is sequenced and inspected for resistance mutations as part of routine diagnostic procedures for ensuring an effective treatment. For predicting response to a combination therapy, currently available computer-based methods rely on the genotype of the virus and the composition of the regimen as input. However, no available tool takes full advantage of the knowledge about the order of and the response to previously prescribed regimens. The resulting high-dimensional feature space makes existing methods difficult to apply in a straightforward fashion. The machine learning system proposed in this work, sequence boosting, is tailored to exploiting such high-dimensional information, i.e. the extraction of longitudinal features, by utilizing the recent advancements in data mining and boosting. When applied to predicting the latest treatment outcome for 3,759 treatment-experienced patients from the EuResist integrated database, sequence boosting achieved superior performance compared to SVMs with RBF kernels. Moreover, sequence boosting allows an easy access to the discriminative treatment information. Analysis of feature importance values provided by our model confirmed known facts regarding HIV treatment. For instance, application of potent and recently licensed drugs was beneficial for patients, and, conversely, the patient group that was subject to NRTI mono-therapies in the past had poor treatment perspectives today. Furthermore, our model revealed novel biological insights. More precisely, the combination of previously used drugs with their in vivo response is more informative than the information of previously used drugs alone. Using this information improves the performance of systems for predicting therapy outcome.
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@article{Saigo2011, TITLE = {Learning from past treatments and their outcome improves prediction of In Vivo response to anti-{HIV} therapy}, AUTHOR = {Saigo, Hiroto and Altmann, Andr{\'e} and Bogojeska, Jasmina and M{\"u}ller, Fabian and Nowozin, Sebastian and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1544-6115}, URL = {http://dx.doi.org/10.2202/1544-6115.1604}, DOI = {10.2202/1544-6115.1604}, LOCALID = {Local-ID: C125673F004B2D7B-2C8AD118FEED4801C1257822004906BB-Saigo2011}, PUBLISHER = {The Berkeley Electronic Press}, ADDRESS = {Berkeley, Calif.}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {Infections with the human immunodeficiency virus type 1 (HIV-1) are treated with combinations of drugs. Unfortunately, HIV responds to the treatment by developing resistance mutations. Consequently, the genome of the viral target proteins is sequenced and inspected for resistance mutations as part of routine diagnostic procedures for ensuring an effective treatment. For predicting response to a combination therapy, currently available computer-based methods rely on the genotype of the virus and the composition of the regimen as input. However, no available tool takes full advantage of the knowledge about the order of and the response to previously prescribed regimens. The resulting high-dimensional feature space makes existing methods difficult to apply in a straightforward fashion. The machine learning system proposed in this work, sequence boosting, is tailored to exploiting such high-dimensional information, i.e. the extraction of longitudinal features, by utilizing the recent advancements in data mining and boosting. When applied to predicting the latest treatment outcome for 3,759 treatment-experienced patients from the EuResist integrated database, sequence boosting achieved superior performance compared to SVMs with RBF kernels. Moreover, sequence boosting allows an easy access to the discriminative treatment information. Analysis of feature importance values provided by our model confirmed known facts regarding HIV treatment. For instance, application of potent and recently licensed drugs was beneficial for patients, and, conversely, the patient group that was subject to NRTI mono-therapies in the past had poor treatment perspectives today. Furthermore, our model revealed novel biological insights. More precisely, the combination of previously used drugs with their in vivo response is more informative than the information of previously used drugs alone. Using this information improves the performance of systems for predicting therapy outcome.}, JOURNAL = {Statistical Applications in Genetics and Molecular Biology}, VOLUME = {10}, NUMBER = {1}, PAGES = {1--32}, EID = {1}, }
Endnote
%0 Journal Article %A Saigo, Hiroto %A Altmann, Andr&#233; %A Bogojeska, Jasmina %A M&#252;ller, Fabian %A Nowozin, Sebastian %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Learning from past treatments and their outcome improves prediction of In Vivo response to anti-HIV therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1350-B %F EDOC: 618795 %R 10.2202/1544-6115.1604 %U http://dx.doi.org/10.2202/1544-6115.1604 %F OTHER: Local-ID: C125673F004B2D7B-2C8AD118FEED4801C1257822004906BB-Saigo2011 %D 2011 %X Infections with the human immunodeficiency virus type 1 (HIV-1) are treated with combinations of drugs. Unfortunately, HIV responds to the treatment by developing resistance mutations. Consequently, the genome of the viral target proteins is sequenced and inspected for resistance mutations as part of routine diagnostic procedures for ensuring an effective treatment. For predicting response to a combination therapy, currently available computer-based methods rely on the genotype of the virus and the composition of the regimen as input. However, no available tool takes full advantage of the knowledge about the order of and the response to previously prescribed regimens. The resulting high-dimensional feature space makes existing methods difficult to apply in a straightforward fashion. The machine learning system proposed in this work, sequence boosting, is tailored to exploiting such high-dimensional information, i.e. the extraction of longitudinal features, by utilizing the recent advancements in data mining and boosting. When applied to predicting the latest treatment outcome for 3,759 treatment-experienced patients from the EuResist integrated database, sequence boosting achieved superior performance compared to SVMs with RBF kernels. Moreover, sequence boosting allows an easy access to the discriminative treatment information. Analysis of feature importance values provided by our model confirmed known facts regarding HIV treatment. For instance, application of potent and recently licensed drugs was beneficial for patients, and, conversely, the patient group that was subject to NRTI mono-therapies in the past had poor treatment perspectives today. Furthermore, our model revealed novel biological insights. More precisely, the combination of previously used drugs with their in vivo response is more informative than the information of previously used drugs alone. Using this information improves the performance of systems for predicting therapy outcome. %J Statistical Applications in Genetics and Molecular Biology %V 10 %N 1 %& 1 %P 1 - 32 %Z sequence number: 1 %I The Berkeley Electronic Press %C Berkeley, Calif. %@ false
513. Santos AR, Santos MA, Baumbach J, McCulloch JA, Oliveira GC, Silva A, Miyoshi A, Azevedo V: A singular value decomposition approach for improved taxonomy classification of biological sequences. BMC Genomics 2011, 12(Suppl. 4).
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@article{Baumbach2011j, TITLE = {A singular value decomposition approach for improved taxonomy classification of biological sequences}, AUTHOR = {Santos, Anderson R and Santos, Marcos A and Baumbach, Jan and McCulloch, John A and Oliveira, Guilherme C and Silva, Artur and Miyoshi, Anderson and Azevedo, Vasco}, LANGUAGE = {eng}, URL = {http://www.biomedcentral.com/content/pdf/1471-2164-12-S4-S11.pdf}, DOI = {10.1186/1471-2164-12-S4-S11}, LOCALID = {Local-ID: C125673F004B2D7B-4DE4BD69282154FAC125798400543249-Baumbach2011j}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, JOURNAL = {BMC Genomics}, VOLUME = {12}, NUMBER = {Suppl. 4}, PAGES = {S11,1--S11,15}, EID = {S11}, }
Endnote
%0 Journal Article %A Santos, Anderson R %A Santos, Marcos A %A Baumbach, Jan %A McCulloch, John A %A Oliveira, Guilherme C %A Silva, Artur %A Miyoshi, Anderson %A Azevedo, Vasco %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A singular value decomposition approach for improved taxonomy classification of biological sequences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1312-6 %F EDOC: 618826 %R 10.1186/1471-2164-12-S4-S11 %U http://www.biomedcentral.com/content/pdf/1471-2164-12-S4-S11.pdf %F OTHER: Local-ID: C125673F004B2D7B-4DE4BD69282154FAC125798400543249-Baumbach2011j %D 2011 %* Review method: peer-reviewed %J BMC Genomics %V 12 %N Suppl. 4 %& S11,1 %P S11,1 - S11,15 %Z sequence number: S11 %I BioMed Central %C London
514. Schelhorn S-E, Mestre J, Zotenko E, Albrecht M: Inferring physical protein contacts from large-scale purification data of protein complexes. Molecular & Cellular Proteomics 2011, 10.
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@article{Albrecht2011d, TITLE = {Inferring physical protein contacts from large-scale purification data of protein complexes}, AUTHOR = {Schelhorn, Sven-Eric and Mestre, Juli{\'a}n and Zotenko, Elena and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1535-9484}, URL = {http://dx.doi.org/10.1074/mcp.M110.004929}, DOI = {10.1074/mcp.M110.004929}, LOCALID = {Local-ID: C125673F004B2D7B-C5FCA815D2FE9DF0C1257865005A24A3-Albrecht2011d}, PUBLISHER = {The American Society for Biochemistry and Molecular Biology}, ADDRESS = {Bethesda, Md.}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Molecular \& Cellular Proteomics}, VOLUME = {10}, NUMBER = {6}, PAGES = {M110.004929,1--M110.004929,15}, EID = {M110.004929}, }
Endnote
%0 Journal Article %A Schelhorn, Sven-Eric %A Mestre, Juli&#225;n %A Zotenko, Elena %A Albrecht, Mario %+ Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inferring physical protein contacts from large-scale purification data of protein complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-134D-6 %F EDOC: 618807 %R 10.1074/mcp.M110.004929 %U http://dx.doi.org/10.1074/mcp.M110.004929 %F OTHER: Local-ID: C125673F004B2D7B-C5FCA815D2FE9DF0C1257865005A24A3-Albrecht2011d %D 2011 %J Molecular & Cellular Proteomics %V 10 %N 6 %& M110.004929,1 %P M110.004929,1 - M110.004929,15 %Z sequence number: M110.004929 %I The American Society for Biochemistry and Molecular Biology %C Bethesda, Md. %@ false
515. Schülter E, Oette M, Balduin M, Reuter S, Rockstroh J, Fätkenheuer G, Esser S, Lengauer T, Agacfidan A, Pfister H, Kaiser R, Akgul B: HIV prevalence and route of transmission in Turkish immigrants living in North-Rhine Westphalia, Germany. Medical Microbiology and Immunology 2011, 200.
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@article{Schulter2011, TITLE = {{HIV} prevalence and route of transmission in Turkish immigrants living in North-Rhine Westphalia, Germany}, AUTHOR = {Sch{\"u}lter, Eugen and Oette, Mark and Balduin, Melanie and Reuter, Stefan and Rockstroh, J{\"u}rgen and F{\"a}tkenheuer, Gerd and Esser, Stefan and Lengauer, Thomas and Agacfidan, Ali and Pfister, Herbert and Kaiser, Rolf and Akgul, Baki}, LANGUAGE = {eng}, ISSN = {0300-8584}, URL = {http://dx.doi.org/10.1007/s00430-011-0193-2}, DOI = {10.1007/s00430-011-0193-2}, LOCALID = {Local-ID: C125673F004B2D7B-478EAA1AD7F4C83AC12579CA004B0EB3-Schulter2011}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Medical Microbiology and Immunology}, VOLUME = {200}, NUMBER = {4}, PAGES = {219--223}, }
Endnote
%0 Journal Article %A Sch&#252;lter, Eugen %A Oette, Mark %A Balduin, Melanie %A Reuter, Stefan %A Rockstroh, J&#252;rgen %A F&#228;tkenheuer, Gerd %A Esser, Stefan %A Lengauer, Thomas %A Agacfidan, Ali %A Pfister, Herbert %A Kaiser, Rolf %A Akgul, Baki %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T HIV prevalence and route of transmission in Turkish immigrants living in North-Rhine Westphalia, Germany : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1345-5 %F EDOC: 618847 %R 10.1007/s00430-011-0193-2 %U http://dx.doi.org/10.1007/s00430-011-0193-2 %F OTHER: Local-ID: C125673F004B2D7B-478EAA1AD7F4C83AC12579CA004B0EB3-Schulter2011 %D 2011 %* Review method: peer-reviewed %J Medical Microbiology and Immunology %V 200 %N 4 %& 219 %P 219 - 223 %I Springer %C New York, NY %@ false
516. Seclen E, Soriano V, González MM, Gómez S, Thielen A, Poveda E: High Concordance between the Position-Specific Scoring Matrix and Geno2pheno Algorithms for Genotypic Interpretation of HIV-1 Tropism: V3 Length as the Major Cause of Disagreement. Journal of Clinical Microbiology 2011, 49.
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@article{Seclen2011, TITLE = {High Concordance between the Position-Specific Scoring Matrix and Geno2pheno Algorithms for Genotypic Interpretation of {HIV}-1 Tropism: V3 Length as the Major Cause of Disagreement}, AUTHOR = {Seclen, Eduardo and Soriano, Vincente and Gonz{\'a}lez, Maria M and G{\'o}mez, Sagrario and Thielen, Alexander and Poveda, Eva}, LANGUAGE = {eng}, ISSN = {1098-660X}, URL = {http://dx.doi.org/10.1128/JCM.00908-11}, DOI = {10.1128/JCM.00908-11}, LOCALID = {Local-ID: C125673F004B2D7B-35D715D84875195EC12579A3004BBCE2-Seclen2011}, PUBLISHER = {American Society for Microbiology}, ADDRESS = {Washington, D.C.}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Clinical Microbiology}, VOLUME = {49}, PAGES = {3380--3382}, }
Endnote
%0 Journal Article %A Seclen, Eduardo %A Soriano, Vincente %A Gonz&#225;lez, Maria M %A G&#243;mez, Sagrario %A Thielen, Alexander %A Poveda, Eva %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T High Concordance between the Position-Specific Scoring Matrix and Geno2pheno Algorithms for Genotypic Interpretation of HIV-1 Tropism: V3 Length as the Major Cause of Disagreement : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-133F-4 %F EDOC: 618834 %R 10.1128/JCM.00908-11 %U http://dx.doi.org/10.1128/JCM.00908-11 %F OTHER: Local-ID: C125673F004B2D7B-35D715D84875195EC12579A3004BBCE2-Seclen2011 %D 2011 %* Review method: peer-reviewed %J Journal of Clinical Microbiology %V 49 %& 3380 %P 3380 - 3382 %I American Society for Microbiology %C Washington, D.C. %@ false
517. Shimakami T, Welsch C, Yamane D, McGivern DR, Yi M, Zeuzem S, Lemon SM: Protease Inhibitor-Resistant Hepatitis C Virus Mutants With Reduced Fitness From Impaired Production of Infectious Virus. Gastroenterology 2011, 140.
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@article{Shimakami2011, TITLE = {Protease Inhibitor-Resistant Hepatitis C Virus Mutants With Reduced Fitness From Impaired Production of Infectious Virus}, AUTHOR = {Shimakami, Tetsuro and Welsch, Christoph and Yamane, Daisuke and McGivern, David R. and Yi, MinKyung and Zeuzem, Stefan and Lemon, Stanley M.}, LANGUAGE = {eng}, ISSN = {0016-5085}, URL = {http://dx.doi.org/10.1053/j.gastro.2010.10.056}, DOI = {10.1053/j.gastro.2010.10.056}, LOCALID = {Local-ID: C125673F004B2D7B-6D92E1A5AEB92ACAC12579CA004EE104-Shimakami2011}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Gastroenterology}, VOLUME = {140}, NUMBER = {2}, PAGES = {667--675}, }
Endnote
%0 Journal Article %A Shimakami, Tetsuro %A Welsch, Christoph %A Yamane, Daisuke %A McGivern, David R. %A Yi, MinKyung %A Zeuzem, Stefan %A Lemon, Stanley M. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protease Inhibitor-Resistant Hepatitis C Virus Mutants With Reduced Fitness From Impaired Production of Infectious Virus : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1364-0 %F EDOC: 618848 %R 10.1053/j.gastro.2010.10.056 %U http://dx.doi.org/10.1053/j.gastro.2010.10.056 %F OTHER: Local-ID: C125673F004B2D7B-6D92E1A5AEB92ACAC12579CA004EE104-Shimakami2011 %D 2011 %* Review method: peer-reviewed %J Gastroenterology %V 140 %N 2 %& 667 %P 667 - 675 %I Elsevier %C Amsterdam %@ false
518. Sierra S, Kaiser R, Lübke N, Thielen A, Schuelter E, Heger E, Däumer M, Reuter S, Esser S, Fätkenheuer G, Pfister H, Oette M, Lengauer T: Prediction of HIV-1 coreceptor usage (tropism) by sequence analysis using a genotypic approach. Journal of Visualized Experiments 2011, 58.
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@article{Sierra2011, TITLE = {Prediction of {HIV}-1 coreceptor usage (tropism) by sequence analysis using a genotypic approach}, AUTHOR = {Sierra, Saleta and Kaiser, Rolf and L{\"u}bke, Nadine and Thielen, Alexander and Schuelter, Eugen and Heger, Eva and D{\"a}umer, Martin and Reuter, Stefan and Esser, Stefan and F{\"a}tkenheuer, Gerd and Pfister, Herbert and Oette, Mark and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1940-087X}, URL = {http://www.jove.com/video/3264/}, DOI = {10.3791/3264}, LOCALID = {Local-ID: C125673F004B2D7B-5CC2240FEBE90EA2C12579A3004E0431-Sierra2011}, PUBLISHER = {Jove}, ADDRESS = {Cambridge}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Visualized Experiments}, VOLUME = {58}, PAGES = {e3264,1--e3264,9}, EID = {e3264}, }
Endnote
%0 Journal Article %A Sierra, Saleta %A Kaiser, Rolf %A L&#252;bke, Nadine %A Thielen, Alexander %A Schuelter, Eugen %A Heger, Eva %A D&#228;umer, Martin %A Reuter, Stefan %A Esser, Stefan %A F&#228;tkenheuer, Gerd %A Pfister, Herbert %A Oette, Mark %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prediction of HIV-1 coreceptor usage (tropism) by sequence analysis using a genotypic approach : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-135C-4 %F EDOC: 618838 %R 10.3791/3264 %U http://www.jove.com/video/3264/ %F OTHER: Local-ID: C125673F004B2D7B-5CC2240FEBE90EA2C12579A3004E0431-Sierra2011 %D 2011 %J Journal of Visualized Experiments %V 58 %& e3264,1 %P e3264,1 - e3264,9 %Z sequence number: e3264 %I Jove %C Cambridge %@ false
519. Svicher V, Cento V, Salpini R, Mercurio F, Fraune M, Beggel B, Han Y, Gori C, Wittkop L, Bertoli A, Micheli V, Gubertini G, Longo R, Romano S, Visca M, Gallinaro V, Marino N, Mazzotta F, De Sanctis GM, Fleury H, Trimoulet P, Angelico M, Cappiello G, Zhang XX, Verheyen J, Ceccherini-Silberstein F, Perno CF: Role of hepatitis B virus genetic barrier in drug-resistance and immune-escape development. Digestive and Liver Disease 2011, 43.
Abstract
Background: Impact of hepatitis B virus genetic barrier, defined as the number and type of nucleotide substitutions required to overcome drug/immune selective pressure, on drug-resistance/immune-escape development is unknown. Methods: Genetic barrier was calculated according to Van de Vijver (2006) in 3482 hepatitis B virusreverse transcriptase/HBV surface antigen sequences from 555 drug-naïve patients and 2927 antiviraltreated patients infected with hepatitis B virus genotypes A-G. Results: Despite high natural variability, genetic barrier for drug-resistance development is identical amongst hepatitis B virus genotypes, but varies according to drug-resistance mutation type. Highest genetic barrier is found for secondary/compensatory mutations (e.g. rtL80I/V–rtL180M–rtV173L), whilst most primary mutations (including rtM204V–rtA181T/V–rtI169T–rtA194T) are associated with low genetic barrier. An exception is rtM204I, which can derive from a transition or a transversion. Genotypes A and G are more prone to develop immune/diagnostic-escape mutations sT114R and sG130N. Vaccine-escape associated sT131N-mutation is a natural polymorphism in both A and G genotypes. Conclusion: Genetic barrier and reverse transcriptase/HBV surface antigen overlapping can synergistically influence hepatitis B virus drug-resistance/immune-escape development. The different immune-escape potential of specific hepatitis B virus genotypes could have important clinical consequences in terms of disease progression, vaccine strategies and correct HBV surface antigen detection.
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@article{Svicher2011, TITLE = {Role of hepatitis B virus genetic barrier in drug-resistance and immune-escape development}, AUTHOR = {Svicher, Valentina and Cento, Valeria and Salpini, Romina and Mercurio, Fabio and Fraune, Maria and Beggel, Bastian and Han, Yue and Gori, Caterina and Wittkop, Linda and Bertoli, Ada and Micheli, Valeria and Gubertini, Guido and Longo, Roberta and Romano, Sara and Visca, Michela and Gallinaro, Valentina and Marino, Nicoletta and Mazzotta, Francesco and De Sanctis, Giuseppe Maria and Fleury, Herv{\`e} and Trimoulet, Pascale and Angelico, Mario and Cappiello, Giuseppina and Zhang, Xin Xin and Verheyen, Jens and Ceccherini-Silberstein, Francesca and Perno, Carlo Federico}, LANGUAGE = {eng}, ISSN = {1590-8658}, URL = {http://dx.doi.org/10.1016/j.dld.2011.07.002}, DOI = {10.1016/j.dld.2011.07.002}, LOCALID = {Local-ID: C125673F004B2D7B-074828CB14111069C125796400478483-Svicher2011}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {Background: Impact of hepatitis B virus genetic barrier, de{fi}ned as the number and type of nucleotide substitutions required to overcome drug/immune selective pressure, on drug-resistance/immune-escape development is unknown. Methods: Genetic barrier was calculated according to Van de Vijver (2006) in 3482 hepatitis B virusreverse transcriptase/HBV surface antigen sequences from 555 drug-na{\"i}ve patients and 2927 antiviraltreated patients infected with hepatitis B virus genotypes A-G. Results: Despite high natural variability, genetic barrier for drug-resistance development is identical amongst hepatitis B virus genotypes, but varies according to drug-resistance mutation type. Highest genetic barrier is found for secondary/compensatory mutations (e.g. rtL80I/V--rtL180M--rtV173L), whilst most primary mutations (including rtM204V--rtA181T/V--rtI169T--rtA194T) are associated with low genetic barrier. An exception is rtM204I, which can derive from a transition or a transversion. Genotypes A and G are more prone to develop immune/diagnostic-escape mutations sT114R and sG130N. Vaccine-escape associated sT131N-mutation is a natural polymorphism in both A and G genotypes. Conclusion: Genetic barrier and reverse transcriptase/HBV surface antigen overlapping can synergistically in{fl}uence hepatitis B virus drug-resistance/immune-escape development. The different immune-escape potential of speci{fi}c hepatitis B virus genotypes could have important clinical consequences in terms of disease progression, vaccine strategies and correct HBV surface antigen detection.}, JOURNAL = {Digestive and Liver Disease}, VOLUME = {43}, NUMBER = {12}, PAGES = {975--983}, }
Endnote
%0 Journal Article %A Svicher, Valentina %A Cento, Valeria %A Salpini, Romina %A Mercurio, Fabio %A Fraune, Maria %A Beggel, Bastian %A Han, Yue %A Gori, Caterina %A Wittkop, Linda %A Bertoli, Ada %A Micheli, Valeria %A Gubertini, Guido %A Longo, Roberta %A Romano, Sara %A Visca, Michela %A Gallinaro, Valentina %A Marino, Nicoletta %A Mazzotta, Francesco %A De Sanctis, Giuseppe Maria %A Fleury, Herv&#232; %A Trimoulet, Pascale %A Angelico, Mario %A Cappiello, Giuseppina %A Zhang, Xin Xin %A Verheyen, Jens %A Ceccherini-Silberstein, Francesca %A Perno, Carlo Federico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society %T Role of hepatitis B virus genetic barrier in drug-resistance and immune-escape development : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1372-0 %F EDOC: 618812 %R 10.1016/j.dld.2011.07.002 %U http://dx.doi.org/10.1016/j.dld.2011.07.002 %F OTHER: Local-ID: C125673F004B2D7B-074828CB14111069C125796400478483-Svicher2011 %D 2011 %* Review method: peer-reviewed %X Background: Impact of hepatitis B virus genetic barrier, de&#64257;ned as the number and type of nucleotide substitutions required to overcome drug/immune selective pressure, on drug-resistance/immune-escape development is unknown. Methods: Genetic barrier was calculated according to Van de Vijver (2006) in 3482 hepatitis B virusreverse transcriptase/HBV surface antigen sequences from 555 drug-na&#239;ve patients and 2927 antiviraltreated patients infected with hepatitis B virus genotypes A-G. Results: Despite high natural variability, genetic barrier for drug-resistance development is identical amongst hepatitis B virus genotypes, but varies according to drug-resistance mutation type. Highest genetic barrier is found for secondary/compensatory mutations (e.g. rtL80I/V&#8211;rtL180M&#8211;rtV173L), whilst most primary mutations (including rtM204V&#8211;rtA181T/V&#8211;rtI169T&#8211;rtA194T) are associated with low genetic barrier. An exception is rtM204I, which can derive from a transition or a transversion. Genotypes A and G are more prone to develop immune/diagnostic-escape mutations sT114R and sG130N. Vaccine-escape associated sT131N-mutation is a natural polymorphism in both A and G genotypes. Conclusion: Genetic barrier and reverse transcriptase/HBV surface antigen overlapping can synergistically in&#64258;uence hepatitis B virus drug-resistance/immune-escape development. The different immune-escape potential of speci&#64257;c hepatitis B virus genotypes could have important clinical consequences in terms of disease progression, vaccine strategies and correct HBV surface antigen detection. %J Digestive and Liver Disease %V 43 %N 12 %& 975 %P 975 - 983 %I Elsevier %C Amsterdam %@ false
520. Swenson LC, Mo T, Dong WW, Zhong X, Woods CK, Thielen A, Jensen MA, Knapp DJ, Chapman D, Lewis M, James I, Heera J, Valdez H, Harrigan PR: Deep V3 sequencing for HIV type 1 tropism in treatment-naive patients: a reanalysis of the MERIT trial of maraviroc.Clinical Infectious Diseases 2011, 53.
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@article{Swenson2011b, TITLE = {Deep V3 sequencing for {HIV} type 1 tropism in treatment-naive patients: a reanalysis of the {MERIT} trial of maraviroc.}, AUTHOR = {Swenson, Luke C and Mo, Theresa and Dong, Winnie WY and Zhong, Xiaoyin and Woods, Conan K and Thielen, Alexander and Jensen, Mark A and Knapp, David JHF and Chapman, Douglass and Lewis, Marilyn and James, Ian and Heera, Jayvant and Valdez, Hernan and Harrigan, P Richard}, LANGUAGE = {eng}, ISSN = {1537-6591}, URL = {http://dx.doi.org/10.1093/cid/cir493}, DOI = {10.1093/cid/cir493}, LOCALID = {Local-ID: C125673F004B2D7B-DD7C970DBE8D20A9C12579A3004C38FA-Swenson2011b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Clinical Infectious Diseases}, VOLUME = {53}, NUMBER = {7}, PAGES = {732--742}, }
Endnote
%0 Journal Article %A Swenson, Luke C %A Mo, Theresa %A Dong, Winnie WY %A Zhong, Xiaoyin %A Woods, Conan K %A Thielen, Alexander %A Jensen, Mark A %A Knapp, David JHF %A Chapman, Douglass %A Lewis, Marilyn %A James, Ian %A Heera, Jayvant %A Valdez, Hernan %A Harrigan, P Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Deep V3 sequencing for HIV type 1 tropism in treatment-naive patients: a reanalysis of the MERIT trial of maraviroc. : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1326-9 %F EDOC: 618835 %R 10.1093/cid/cir493 %U http://dx.doi.org/10.1093/cid/cir493 %F OTHER: Local-ID: C125673F004B2D7B-DD7C970DBE8D20A9C12579A3004C38FA-Swenson2011b %D 2011 %* Review method: peer-reviewed %J Clinical Infectious Diseases %V 53 %N 7 %& 732 %P 732 - 742 %I Oxford University Press %C Oxford %@ false
521. Swenson LC, Mo T, Dong WWY, Zhong X, Woods CK, Jensen MA, Thielen A, Chapman D, Lewis M, James I, Heera J, Valdez H, Harrigan PR: Deep Sequencing to Infer HIV-1 Co-Receptor Usage: Application to Three Clinical Trials of Maraviroc in Treatment-Experienced Patients. The Journal of Infectious Diseases 2011, 203.
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@article{Swenson2011, TITLE = {Deep Sequencing to Infer {HIV}-1 Co-Receptor Usage: Application to Three Clinical Trials of Maraviroc in Treatment-Experienced Patients}, AUTHOR = {Swenson, Luke C. and Mo, Theresa and Dong, Winnie W. Y. and Zhong, Xiaoyin and Woods, Conan K. and Jensen, Mark A. and Thielen, Alexander and Chapman, Douglass and Lewis, Marilyn and James, Ian and Heera, Jayvant and Valdez, Hernan and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {0022-1899}, URL = {http://dx.doi.org/10.1093/infdis/jiq030}, DOI = {10.1093/infdis/jiq030}, LOCALID = {Local-ID: C125673F004B2D7B-3431690AA73C5B0EC12579A300496A2B-Swenson2011}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2011}, DATE = {2011}, JOURNAL = {The Journal of Infectious Diseases}, VOLUME = {203}, NUMBER = {3}, PAGES = {237--245}, }
Endnote
%0 Journal Article %A Swenson, Luke C. %A Mo, Theresa %A Dong, Winnie W. Y. %A Zhong, Xiaoyin %A Woods, Conan K. %A Jensen, Mark A. %A Thielen, Alexander %A Chapman, Douglass %A Lewis, Marilyn %A James, Ian %A Heera, Jayvant %A Valdez, Hernan %A Harrigan, P. Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Deep Sequencing to Infer HIV-1 Co-Receptor Usage: Application to Three Clinical Trials of Maraviroc in Treatment-Experienced Patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1324-D %F EDOC: 618831 %R 10.1093/infdis/jiq030 %U http://dx.doi.org/10.1093/infdis/jiq030 %F OTHER: Local-ID: C125673F004B2D7B-3431690AA73C5B0EC12579A300496A2B-Swenson2011 %D 2011 %* Review method: peer-reviewed %J The Journal of Infectious Diseases %V 203 %N 3 %& 237 %P 237 - 245 %I Oxford University Press %C Oxford %@ false
522. Thielen A, Lengauer T, Swenson LC, Dong WWY, McGovern RA, Lewis M, James I, Heera J, Valdez H, Harrigan PR: Mutations in gp41 are correlated with coreceptor tropism but do not improve prediction methods substantially. Antiviral Therapy 2011, 16.
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@article{Thielen2010gp41, TITLE = {Mutations in gp41 are correlated with coreceptor tropism but do not improve prediction methods substantially}, AUTHOR = {Thielen, Alexander and Lengauer, Thomas and Swenson, Luke C and Dong, Winnie W.Y. and McGovern, Rachel A and Lewis, Marilyn and James, Ian and Heera, Jayvant and Valdez, Hernan and Harrigan, P Richard}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://dx.doi.org/10.3851/IMP1769}, DOI = {10.3851/IMP1769}, LOCALID = {Local-ID: C125673F004B2D7B-B00204CCF669A6FDC12577FB002D58C9-Thielen2010gp41}, PUBLISHER = {International Medical Press}, ADDRESS = {London , UK}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Antiviral Therapy}, VOLUME = {16}, NUMBER = {3}, PAGES = {319--328}, }
Endnote
%0 Journal Article %A Thielen, Alexander %A Lengauer, Thomas %A Swenson, Luke C %A Dong, Winnie W.Y. %A McGovern, Rachel A %A Lewis, Marilyn %A James, Ian %A Heera, Jayvant %A Valdez, Hernan %A Harrigan, P Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Mutations in gp41 are correlated with coreceptor tropism but do not improve prediction methods substantially : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1358-C %F EDOC: 618790 %R 10.3851/IMP1769 %U http://dx.doi.org/10.3851/IMP1769 %F OTHER: Local-ID: C125673F004B2D7B-B00204CCF669A6FDC12577FB002D58C9-Thielen2010gp41 %D 2011 %* Review method: peer-reviewed %J Antiviral Therapy %V 16 %N 3 %& 319 %P 319 - 328 %I International Medical Press %C London , UK %@ false
523. Thielen A: Genotypic Analysis of HIV-1 Coreceptor Usage. Universität des Saarlandes; 2011.
Abstract
The acquired immunodeficiency syndrome (AIDS) is one of the biggest medical <br>challenges in the world today. Its causative pathogen, the human <br>immunodeficiency virus (HIV), is responsible for millions of deaths per year. <br>Although about two dozen antiviral drugs are currently available, progression <br>of the disease can only be delayed but patients cannot be cured.<br>In recent years, the new class of coreceptor antagonists has been added to the <br>arsenal of antiretroviral drugs. These drugs block viral cell-entry by binding <br>to one of the receptors the virus requires for infection of a cell. However, <br>some HIV variants can also use another coreceptor so that coreceptor usage has <br>to be tested before administration of the drug.<br>This thesis analyzes the use of statistical learning methods to infer HIV <br>coreceptor usage from viral genotype. Improvements over existing methods are <br>achieved by using sequence information of so far not used genomic regions, next <br>generation sequencing technologies, and by combining different existing <br>prediction systems.<br>In addition, HIV coreceptor usage prediction is analyzed with respect to <br>clinical outcome in patients treated with coreceptor antagonists. The results <br>demonstrate that inferring HIV coreceptor usage from viral genotype can be <br>reliably used in daily routine.
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@phdthesis{Thielen2011diss, TITLE = {Genotypic Analysis of {HIV}-1 Coreceptor Usage}, AUTHOR = {Thielen, Alexander}, LANGUAGE = {eng}, URL = {http://scidok.sulb.uni-saarland.de/volltexte/2011/4034/; urn:nbn:de:bsz:291-scidok-40343}, DOI = {10.22028/D291-26041}, LOCALID = {Local-ID: C125673F004B2D7B-D95B13CBBC2F24FCC12579A30050374D-Thielen2011diss}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, ABSTRACT = {The acquired immunodeficiency syndrome (AIDS) is one of the biggest medical <br>challenges in the world today. Its causative pathogen, the human <br>immunodeficiency virus (HIV), is responsible for millions of deaths per year. <br>Although about two dozen antiviral drugs are currently available, progression <br>of the disease can only be delayed but patients cannot be cured.<br>In recent years, the new class of coreceptor antagonists has been added to the <br>arsenal of antiretroviral drugs. These drugs block viral cell-entry by binding <br>to one of the receptors the virus requires for infection of a cell. However, <br>some HIV variants can also use another coreceptor so that coreceptor usage has <br>to be tested before administration of the drug.<br>This thesis analyzes the use of statistical learning methods to infer HIV <br>coreceptor usage from viral genotype. Improvements over existing methods are <br>achieved by using sequence information of so far not used genomic regions, next <br>generation sequencing technologies, and by combining different existing <br>prediction systems.<br>In addition, HIV coreceptor usage prediction is analyzed with respect to <br>clinical outcome in patients treated with coreceptor antagonists. The results <br>demonstrate that inferring HIV coreceptor usage from viral genotype can be <br>reliably used in daily routine.}, }
Endnote
%0 Thesis %A Thielen, Alexander %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Genotypic Analysis of HIV-1 Coreceptor Usage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-11AD-D %F EDOC: 618839 %U http://scidok.sulb.uni-saarland.de/volltexte/2011/4034/ %F OTHER: Local-ID: C125673F004B2D7B-D95B13CBBC2F24FCC12579A30050374D-Thielen2011diss %R 10.22028/D291-26041 %U urn:nbn:de:bsz:291-scidok-40343 %F OTHER: hdl:20.500.11880/26097 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %P 184 p. %V phd %9 phd %X The acquired immunodeficiency syndrome (AIDS) is one of the biggest medical <br>challenges in the world today. Its causative pathogen, the human <br>immunodeficiency virus (HIV), is responsible for millions of deaths per year. <br>Although about two dozen antiviral drugs are currently available, progression <br>of the disease can only be delayed but patients cannot be cured.<br>In recent years, the new class of coreceptor antagonists has been added to the <br>arsenal of antiretroviral drugs. These drugs block viral cell-entry by binding <br>to one of the receptors the virus requires for infection of a cell. However, <br>some HIV variants can also use another coreceptor so that coreceptor usage has <br>to be tested before administration of the drug.<br>This thesis analyzes the use of statistical learning methods to infer HIV <br>coreceptor usage from viral genotype. Improvements over existing methods are <br>achieved by using sequence information of so far not used genomic regions, next <br>generation sequencing technologies, and by combining different existing <br>prediction systems.<br>In addition, HIV coreceptor usage prediction is analyzed with respect to <br>clinical outcome in patients treated with coreceptor antagonists. The results <br>demonstrate that inferring HIV coreceptor usage from viral genotype can be <br>reliably used in daily routine. %U http://scidok.sulb.uni-saarland.de/volltexte/2011/4034/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
524. Tolosi L, Lengauer T: Classification with Correlated Features: Unreliability of Feature Ranking and Solutions. Bioinformatics 2011, 27.
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@article{Tolosi-Lengauer_Bioinformatics11, TITLE = {Classification with Correlated Features: Unreliability of Feature Ranking and Solutions}, AUTHOR = {Tolosi, Laura and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btr300}, DOI = {10.1093/bioinformatics/btr300}, LOCALID = {Local-ID: C125673F004B2D7B-926CC3BF2F93187EC12578DB003348CB-Tolosi2011}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Bioinformatics}, VOLUME = {27}, NUMBER = {14}, PAGES = {1986--1994}, }
Endnote
%0 Journal Article %A Tolosi, Laura %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Classification with Correlated Features: Unreliability of Feature Ranking and Solutions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1316-D %F EDOC: 618810 %R 10.1093/bioinformatics/btr300 %U http://dx.doi.org/10.1093/bioinformatics/btr300 %F OTHER: Local-ID: C125673F004B2D7B-926CC3BF2F93187EC12578DB003348CB-Tolosi2011 %D 2011 %* Review method: peer-reviewed %J Bioinformatics %V 27 %N 14 %& 1986 %P 1986 - 1994 %I Oxford University Press %C Oxford %@ false
525. Weimann A: Functional Profiling in Metagenomics. Universität des Saarlandes; 2011.
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@mastersthesis{Weimann2011a, TITLE = {Functional Profiling in Metagenomics}, AUTHOR = {Weimann, Aaron}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6E77E68C81F21394C1257834003FB077-Weimann2011a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2011}, DATE = {2011}, }
Endnote
%0 Thesis %A Weimann, Aaron %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Functional Profiling in Metagenomics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1339-0 %F EDOC: 618803 %F OTHER: Local-ID: C125673F004B2D7B-6E77E68C81F21394C1257834003FB077-Weimann2011a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2011 %V master %9 master
526. Welker M-W, Welsch C, Ochs D, Hofmann WP, Herrmann E, Piiper A, Hartmann RW, Zeuzem S, Sarrazin C, Kronenberger B: Comparison of Envelope 2 CD81 binding regions in PBMC-derived versus serum-derived hepatitis C virus isolates: higher conservation of CD81 region 2 in PBMC isolates. Journal of Viral Hepatitis 2011, 18.
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@article{Welker2011, TITLE = {Comparison of Envelope 2 {CD81} binding regions in {PBMC}-derived versus serum-derived hepatitis C virus isolates: higher conservation of {CD81} region 2 in {PBMC} isolates}, AUTHOR = {Welker, M.-W. and Welsch, Christoph and Ochs, D. and Hofmann, W. P. and Herrmann, E. and Piiper, A. and Hartmann, R. W. and Zeuzem, S. and Sarrazin, C. and Kronenberger, Bernd}, LANGUAGE = {eng}, ISSN = {1352-0504}, URL = {http://dx.doi.org/10.1111/j.1365-2893.2010.01296.x}, DOI = {10.1111/j.1365-2893.2010.01296.x}, LOCALID = {Local-ID: C125673F004B2D7B-F51C8EA1EE8CB91CC12579CA004FD5A6-Welker2011}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Viral Hepatitis}, VOLUME = {18}, NUMBER = {3}, PAGES = {181--192}, }
Endnote
%0 Journal Article %A Welker, M.-W. %A Welsch, Christoph %A Ochs, D. %A Hofmann, W. P. %A Herrmann, E. %A Piiper, A. %A Hartmann, R. W. %A Zeuzem, S. %A Sarrazin, C. %A Kronenberger, Bernd %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comparison of Envelope 2 CD81 binding regions in PBMC-derived versus serum-derived hepatitis C virus isolates: higher conservation of CD81 region 2 in PBMC isolates : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-131C-1 %F EDOC: 618849 %R 10.1111/j.1365-2893.2010.01296.x %U http://dx.doi.org/10.1111/j.1365-2893.2010.01296.x %F OTHER: Local-ID: C125673F004B2D7B-F51C8EA1EE8CB91CC12579CA004FD5A6-Welker2011 %D 2011 %* Review method: peer-reviewed %J Journal of Viral Hepatitis %V 18 %N 3 %& 181 %P 181 - 192 %I Wiley %C Chichester %@ false
527. Wittkop T, Rahmann S, Roettger R, Boecker S, Baumbach J: Extension and robustness of Transitivity Clustering for protein-protein interaction network analysis. Internet Mathematics 2011, 7.
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@article{Baumbach2011h, TITLE = {Extension and robustness of Transitivity Clustering for protein-protein interaction network analysis}, AUTHOR = {Wittkop, Tobias and Rahmann, Sven and Roettger, Roettger and Boecker, Sebastian and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1542-7951}, URL = {http://dx.doi.org/10.1080/15427951.2011.604559}, DOI = {10.1080/15427951.2011.604559}, LOCALID = {Local-ID: C125673F004B2D7B-0DCBD2BB44CB608AC12579840054D30A-Baumbach2011h}, PUBLISHER = {Taylor \& Francis}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Internet Mathematics}, VOLUME = {7}, NUMBER = {4}, PAGES = {255--273}, }
Endnote
%0 Journal Article %A Wittkop, Tobias %A Rahmann, Sven %A Roettger, Roettger %A Boecker, Sebastian %A Baumbach, Jan %+ Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Extension and robustness of Transitivity Clustering for protein-protein interaction network analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1333-B %F EDOC: 618827 %R 10.1080/15427951.2011.604559 %U http://dx.doi.org/10.1080/15427951.2011.604559 %F OTHER: Local-ID: C125673F004B2D7B-0DCBD2BB44CB608AC12579840054D30A-Baumbach2011h %D 2011 %* Review method: peer-reviewed %J Internet Mathematics %V 7 %N 4 %& 255 %P 255 - 273 %I Taylor & Francis %@ false
528. Wittkop T, Emig D, Truss A, Albrecht M, Böcker S, Baumbach J: Comprehensive cluster analysis with Transitivity Clustering. Nature Protocols 2011, 6.
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@article{Wittkop2011, TITLE = {Comprehensive cluster analysis with Transitivity Clustering}, AUTHOR = {Wittkop, Tobias and Emig, Dorothea and Truss, Anke and Albrecht, Mario and B{\"o}cker, Sebastian and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1754-2189}, URL = {http://dx.doi.org/10.1038/nprot.2010.197}, DOI = {10.1038/nprot.2010.197}, LOCALID = {Local-ID: C125673F004B2D7B-F70A035C2665BB67C12577EE005655EA-Wittkop2011}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Nature Protocols}, VOLUME = {6}, NUMBER = {3}, PAGES = {285--295}, }
Endnote
%0 Journal Article %A Wittkop, Tobias %A Emig, Dorothea %A Truss, Anke %A Albrecht, Mario %A B&#246;cker, Sebastian %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comprehensive cluster analysis with Transitivity Clustering : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1320-6 %F EDOC: 618789 %R 10.1038/nprot.2010.197 %U http://dx.doi.org/10.1038/nprot.2010.197 %F OTHER: Local-ID: C125673F004B2D7B-F70A035C2665BB67C12577EE005655EA-Wittkop2011 %D 2011 %* Review method: peer-reviewed %J Nature Protocols %V 6 %N 3 %& 285 %P 285 - 295 %I Nature Publishing Group %C London %@ false
529. Yamanishi Y, Pauwels E, Saigo H, Stovent V: Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions. Journal of Chemical Information and Modeling 2011, 51.
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@article{Yamanishir2011, TITLE = {Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions}, AUTHOR = {Yamanishi, Yoshihiro and Pauwels, Edouard and Saigo, Hiroto and Stovent, Veronique}, LANGUAGE = {eng}, ISSN = {1549-9596}, URL = {http://dx.doi.org/10.1021/ci100476q}, DOI = {10.1021/ci100476q}, LOCALID = {Local-ID: C125673F004B2D7B-A7BC16A63CCBF3C6C12579CA0050E0C0-Yamanishir2011}, PUBLISHER = {ACS Publications}, ADDRESS = {Washington, DC}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {51}, NUMBER = {5}, PAGES = {1183--1194}, }
Endnote
%0 Journal Article %A Yamanishi, Yoshihiro %A Pauwels, Edouard %A Saigo, Hiroto %A Stovent, Veronique %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1335-7 %F EDOC: 618850 %R 10.1021/ci100476q %U http://dx.doi.org/10.1021/ci100476q %F OTHER: Local-ID: C125673F004B2D7B-A7BC16A63CCBF3C6C12579CA0050E0C0-Yamanishir2011 %D 2011 %* Review method: peer-reviewed %J Journal of Chemical Information and Modeling %V 51 %N 5 %& 1183 %P 1183 - 1194 %I ACS Publications %C Washington, DC %@ false
530. Zacharek SJ, Fillmore CM, Lau AN, Gludish DW, Chou alan, Ho JWK, Zamponi R, Gazit R, Bock C, Jäger N, Smith ZD, Kim T, Saunders AH, Wong J, Lee J-H, Roach RR, Rossi DJ, Meissner A, Gimelbrant AA, Park PJ, Kim CF: Lung stem cell self-renewal relies on BMI1-dependent control of expression at imprinted loci. Cell Stem Cell 2011, 9.
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@article{Zacharek2011, TITLE = {Lung stem cell self-renewal relies on {BMI1}-dependent control of expression at imprinted loci}, AUTHOR = {Zacharek, Sima J. and Fillmore, Christine M. and Lau, Allison N. and Gludish, David W. and Chou, alan and Ho, Joshua W. K. and Zamponi, Raffaella and Gazit, Roi and Bock, Christoph and J{\"a}ger, Natalie and Smith, Zachary D. and Kim, Tae-min and Saunders, Arven H. and Wong, Janice and Lee, Joo-Hyeon and Roach, Rebecca R. and Rossi, Derrick J. and Meissner, Alex and Gimelbrant, Alexander A. and Park, Peter J. and Kim, Carla F.}, LANGUAGE = {eng}, ISSN = {1934-5909}, URL = {http://dx.doi.org/10.1016/j.stem.2011.07.007}, DOI = {10.1016/j.stem.2011.07.007}, LOCALID = {Local-ID: C125673F004B2D7B-DCD797B831172486C12579CA00518484-Zacharek2011}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2011}, DATE = {2011}, JOURNAL = {Cell Stem Cell}, VOLUME = {9}, NUMBER = {3}, PAGES = {272--280}, }
Endnote
%0 Journal Article %A Zacharek, Sima J. %A Fillmore, Christine M. %A Lau, Allison N. %A Gludish, David W. %A Chou, alan %A Ho, Joshua W. K. %A Zamponi, Raffaella %A Gazit, Roi %A Bock, Christoph %A J&#228;ger, Natalie %A Smith, Zachary D. %A Kim, Tae-min %A Saunders, Arven H. %A Wong, Janice %A Lee, Joo-Hyeon %A Roach, Rebecca R. %A Rossi, Derrick J. %A Meissner, Alex %A Gimelbrant, Alexander A. %A Park, Peter J. %A Kim, Carla F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Lung stem cell self-renewal relies on BMI1-dependent control of expression at imprinted loci : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-1352-7 %F EDOC: 618851 %R 10.1016/j.stem.2011.07.007 %U http://dx.doi.org/10.1016/j.stem.2011.07.007 %F OTHER: Local-ID: C125673F004B2D7B-DCD797B831172486C12579CA00518484-Zacharek2011 %D 2011 %* Review method: peer-reviewed %J Cell Stem Cell %V 9 %N 3 %& 272 %P 272 - 280 %I Elsevier %C Amsterdam %@ false
531. Zazzi M, Kaiser R, Sönnerborg A, Struck D, Altmann A, Prosperi M, Rosen-Zvi M, Petroczi A, Peres Y, Schülter E, Boucher CA, Brun-Vezinet F, Harrigan R, Morris L, Obermeier M, Perno C-F, Phanuphak P, Pillay D, Shafer RW, Vandamme A-M, Van Laethem K, Wensing A, Lengauer T, Incardona F: Prediction of Response to Antiretroviral Therapy by Human Experts and by the EuResist Data-Driven Expert System (the EVE study). HIV Medicine 2011, 12.
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@article{Lengauer2011a, TITLE = {Prediction of Response to Antiretroviral Therapy by Human Experts and by the {EuResist} Data-Driven Expert System (the {EVE} study)}, AUTHOR = {Zazzi, Maurizio and Kaiser, R. and S{\"o}nnerborg, A. and Struck, D and Altmann, Andre and Prosperi, M. and Rosen-Zvi, M. and Petroczi, A. and Peres, Y. and Sch{\"u}lter, E. and Boucher, C. A. and Brun-Vezinet, F. and Harrigan, R. and Morris, L. and Obermeier, M. and Perno, C.-F. and Phanuphak, P. and Pillay, D and Shafer, R. W. and Vandamme, A.-M. and Van Laethem, K. and Wensing, A. and Lengauer, Thomas and Incardona, F.}, LANGUAGE = {eng}, ISSN = {1464-2662}, URL = {http://dx.doi.org/10.1111/j.1468-1293.2010.00871.x}, DOI = {10.1111/j.1468-1293.2010.00871.x}, LOCALID = {Local-ID: C125673F004B2D7B-E46B79AFF67337F9C1257991003D66AC-Lengauer2011a}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2011}, DATE = {2011}, JOURNAL = {HIV Medicine}, VOLUME = {12}, NUMBER = {4}, PAGES = {211--218}, }
Endnote
%0 Journal Article %A Zazzi, Maurizio %A Kaiser, R. %A S&#246;nnerborg, A. %A Struck, D %A Altmann, Andre %A Prosperi, M. %A Rosen-Zvi, M. %A Petroczi, A. %A Peres, Y. %A Sch&#252;lter, E. %A Boucher, C. A. %A Brun-Vezinet, F. %A Harrigan, R. %A Morris, L. %A Obermeier, M. %A Perno, C.-F. %A Phanuphak, P. %A Pillay, D %A Shafer, R. W. %A Vandamme, A.-M. %A Van Laethem, K. %A Wensing, A. %A Lengauer, Thomas %A Incardona, F. %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Prediction of Response to Antiretroviral Therapy by Human Experts and by the EuResist Data-Driven Expert System (the EVE study) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-11C6-4 %F EDOC: 536656 %R 10.1111/j.1468-1293.2010.00871.x %U http://dx.doi.org/10.1111/j.1468-1293.2010.00871.x %F OTHER: Local-ID: C125673F004B2D7B-E46B79AFF67337F9C1257991003D66AC-Lengauer2011a %7 2010-08-19 %D 2011 %* Review method: peer-reviewed %J HIV Medicine %V 12 %N 4 %& 211 %P 211 - 218 %I Wiley %C Chichester %@ false
532. Ziller MJ, Müller F, Liao J, Zhang Y, Gu H, Bock C, Boyle P, Epstein CB, Bernstein BE, Lengauer T, Gnirke A, Meissner A: Genomic distribution and inter-sample variation of non-CpG methylation across human cell types. PLoS Genetics 2011, 17.
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@article{Ziller2011, TITLE = {Genomic distribution and inter-sample variation of non-{CpG} methylation across human cell types}, AUTHOR = {Ziller, Michael J. and M{\"u}ller, Fabian and Liao, Jing and Zhang, Yingying and Gu, Hongcang and Bock, Christoph and Boyle, Patrick and Epstein, Charles B. and Bernstein, Bradley E. and Lengauer, Thomas and Gnirke, Andreas and Meissner, Alexander}, LANGUAGE = {eng}, ISSN = {1553-7390}, URL = {http://dx.doi.org/10.1371/journal.pgen.1002389}, DOI = {10.1371/journal.pgen.1002389}, LOCALID = {Local-ID: C125673F004B2D7B-C18A7246299793E3C1257964003DBABE-Ziller2011}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, Calif.}, YEAR = {2011}, DATE = {2011}, JOURNAL = {PLoS Genetics}, VOLUME = {17}, NUMBER = {12}, PAGES = {e1002389,1--e1002389,15}, EID = {e1002389}, }
Endnote
%0 Journal Article %A Ziller, Michael J. %A M&#252;ller, Fabian %A Liao, Jing %A Zhang, Yingying %A Gu, Hongcang %A Bock, Christoph %A Boyle, Patrick %A Epstein, Charles B. %A Bernstein, Bradley E. %A Lengauer, Thomas %A Gnirke, Andreas %A Meissner, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genomic distribution and inter-sample variation of non-CpG methylation across human cell types : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0010-133B-C %F EDOC: 618811 %R 10.1371/journal.pgen.1002389 %U http://dx.doi.org/10.1371/journal.pgen.1002389 %F OTHER: Local-ID: C125673F004B2D7B-C18A7246299793E3C1257964003DBABE-Ziller2011 %D 2011 %J PLoS Genetics %V 17 %N 12 %& e1002389,1 %P e1002389,1 - e1002389,15 %Z sequence number: e1002389 %I Public Library of Science %C San Francisco, Calif. %@ false
2010
533. Albrecht M: Color Blindness. Nature Methods 2010, 7.
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@article{Albrecht2010h, TITLE = {Color Blindness}, AUTHOR = {Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1548-7091}, URL = {http://dx.doi.org/10.1038/nmeth1010-775a}, DOI = {10.1038/nmeth1010-775a}, LOCALID = {Local-ID: C125673F004B2D7B-0DD9CC1BAC4CC130C12577F100618875-Albrecht2010h}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature Methods}, VOLUME = {7}, NUMBER = {10}, PAGES = {775--775}, }
Endnote
%0 Journal Article %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Color Blindness : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1567-E %F EDOC: 536637 %R 10.1038/nmeth1010-775a %U http://dx.doi.org/10.1038/nmeth1010-775a %F OTHER: Local-ID: C125673F004B2D7B-0DD9CC1BAC4CC130C12577F100618875-Albrecht2010h %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature Methods %V 7 %N 10 %& 775 %P 775 - 775 %I Nature Publishing Group %C London, UK %@ false
534. Albrecht M, Kerren A, Klein K, Kohlbacher O, Mutzel P, Paul W, Schreiber F, Wybrow M: On Open Problems in Biological Network Visualization. In Graph Drawing (GD 2009). Springer; 2010. [Lectures Notes in Computer Science, vol. 5849]
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@inproceedings{Albrecht2009c, TITLE = {On Open Problems in Biological Network Visualization}, AUTHOR = {Albrecht, Mario and Kerren, Andreas and Klein, Karsten and Kohlbacher, Oliver and Mutzel, Petra and Paul, Wolfgang and Schreiber, Falk and Wybrow, Michael}, LANGUAGE = {eng}, ISBN = {978-3-642-11804-3}, URL = {http://dx.doi.org/10.1007/978-3-642-11805-0_25}, DOI = {10.1007/978-3-642-11805-0_25}, LOCALID = {Local-ID: C125673F004B2D7B-1C036034D445BB89C12576A8004D2D52-Albrecht2009c}, PUBLISHER = {Springer}, YEAR = {2009}, DATE = {2010}, BOOKTITLE = {Graph Drawing (GD 2009)}, EDITOR = {Eppstein, David and Gansner, Emden R.}, PAGES = {256--267}, SERIES = {Lectures Notes in Computer Science}, VOLUME = {5849}, ADDRESS = {Chicago, IL, USA}, }
Endnote
%0 Conference Proceedings %A Albrecht, Mario %A Kerren, Andreas %A Klein, Karsten %A Kohlbacher, Oliver %A Mutzel, Petra %A Paul, Wolfgang %A Schreiber, Falk %A Wybrow, Michael %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Algorithms and Complexity, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T On Open Problems in Biological Network Visualization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1596-4 %F EDOC: 536618 %R 10.1007/978-3-642-11805-0_25 %U http://dx.doi.org/10.1007/978-3-642-11805-0_25 %F OTHER: Local-ID: C125673F004B2D7B-1C036034D445BB89C12576A8004D2D52-Albrecht2009c %D 2010 %B 17th International Symposium on Graph Drawing %Z date of event: 2009-09-22 - 2009-09-25 %C Chicago, IL, USA %B Graph Drawing %E Eppstein, David; Gansner, Emden R. %P 256 - 267 %I Springer %@ 978-3-642-11804-3 %B Lectures Notes in Computer Science %N 5849
535. Altmann A: Bioinformatical Approaches to Ranking of anti-HIV Combination Therapies and Planning of Treatment Schedule. Universität des Saarlandes; 2010.
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@phdthesis{Altmann2010, TITLE = {Bioinformatical Approaches to Ranking of anti-{HIV} Combination Therapies and Planning of Treatment Schedule}, AUTHOR = {Altmann, Andr{\'e}}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-32135}, DOI = {10.22028/D291-25993}, LOCALID = {Local-ID: C125673F004B2D7B-141A5B192249AA0DC12578230059F631-Altmann2010}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A Altmann, Andr&#233; %A referee: Rahnenf&#252;hrer, J&#246;rg %A referee: Lenhof, Hans-Peter %Y Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatical Approaches to Ranking of anti-HIV Combination Therapies and Planning of Treatment Schedule : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-146B-C %F EDOC: 536657 %F OTHER: Local-ID: C125673F004B2D7B-141A5B192249AA0DC12578230059F631-Altmann2010 %U urn:nbn:de:bsz:291-scidok-32135 %R 10.22028/D291-25993 %F OTHER: hdl:20.500.11880/26049 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2010/3213/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
536. Altmann A, Tolosi L, Sander O, Lengauer T: Permutation Importance: A Corrected Feature Importance Measure. Bioinformatics 2010, 26.
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@article{Altmann2010a, TITLE = {Permutation Importance: A Corrected Feature Importance Measure}, AUTHOR = {Altmann, Andr{\'e} and Tolosi, Laura and Sander, Oliver and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btq134}, DOI = {10.1093/bioinformatics/btq134}, LOCALID = {Local-ID: C125673F004B2D7B-B5AB874DF16FFCB6C12577AE004AC1E1-Altmann2010a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Bioinformatics}, VOLUME = {26}, NUMBER = {10}, PAGES = {1340--1347}, }
Endnote
%0 Journal Article %A Altmann, Andr&#233; %A Tolosi, Laura %A Sander, Oliver %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Permutation Importance: A Corrected Feature Importance Measure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-159D-5 %F EDOC: 536628 %R 10.1093/bioinformatics/btq134 %U http://dx.doi.org/10.1093/bioinformatics/btq134 %F OTHER: Local-ID: C125673F004B2D7B-B5AB874DF16FFCB6C12577AE004AC1E1-Altmann2010a %7 2010 %D 2010 %* Review method: peer-reviewed %J Bioinformatics %V 26 %N 10 %& 1340 %P 1340 - 1347 %I Oxford University Press %C Oxford %@ false
537. Baumbach J: On the Power and Limits of Evolutionary Conservation - Unraveling Bacterial Gene Regulatory Networks. Nucleic Acids Research 2010, 38.
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@article{Baumbach2010_nar, TITLE = {On the Power and Limits of Evolutionary Conservation -- Unraveling Bacterial Gene Regulatory Networks}, AUTHOR = {Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {0301-5610}, URL = {http://dx.doi.org/10.1093/nar/gkq699}, DOI = {10.1093/nar/gkq699}, LOCALID = {Local-ID: C125673F004B2D7B-77EFA497AFC25426C12577EE004C8534-Baumbach2010_nar}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nucleic Acids Research}, VOLUME = {38}, NUMBER = {22}, PAGES = {7877--7884}, }
Endnote
%0 Journal Article %A Baumbach, Jan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Power and Limits of Evolutionary Conservation - Unraveling Bacterial Gene Regulatory Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1599-D %F EDOC: 536616 %R 10.1093/nar/gkq699 %U http://dx.doi.org/10.1093/nar/gkq699 %F OTHER: Local-ID: C125673F004B2D7B-77EFA497AFC25426C12577EE004C8534-Baumbach2010_nar %7 2010 %D 2010 %* Review method: peer-reviewed %J Nucleic Acids Research %V 38 %N 22 %& 7877 %P 7877 - 7884 %I Oxford University Press %C Oxford, UK %@ false
538. Bock C, Tomazou EM, Brinkman AB, Müller F, Simmer F, Gu H, Jäger N, Gnirke A, Stunnenberg HG, Meissner A: Quantitative Comparison of Genome-wide DNA Methylation Mapping Technologies. Nature Biotechnology 2010, 28.
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@article{BockTomazou2010, TITLE = {Quantitative Comparison of Genome-wide {DNA} Methylation Mapping Technologies}, AUTHOR = {Bock, Christoph and Tomazou, Eleni M. and Brinkman, Arie B. and M{\"u}ller, Fabian and Simmer, Femke and Gu, Hongcang and J{\"a}ger, Natalie and Gnirke, Andreas and Stunnenberg, Hendrik G. and Meissner, Alexander}, LANGUAGE = {eng}, ISSN = {1087-0156}, URL = {http://dx.doi.org/10.1038/nbt.1681}, DOI = {10.1038/nbt.1681}, LOCALID = {Local-ID: C125673F004B2D7B-4A01E857A8DB6E5DC125781800479EE5-BockTomazou2010}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature Biotechnology}, VOLUME = {28}, NUMBER = {10}, PAGES = {1106--1114}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Tomazou, Eleni M. %A Brinkman, Arie B. %A M&#252;ller, Fabian %A Simmer, Femke %A Gu, Hongcang %A J&#228;ger, Natalie %A Gnirke, Andreas %A Stunnenberg, Hendrik G. %A Meissner, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Quantitative Comparison of Genome-wide DNA Methylation Mapping Technologies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15A8-B %F EDOC: 536650 %R 10.1038/nbt.1681 %U http://dx.doi.org/10.1038/nbt.1681 %F OTHER: Local-ID: C125673F004B2D7B-4A01E857A8DB6E5DC125781800479EE5-BockTomazou2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature Biotechnology %V 28 %N 10 %& 1106 %P 1106 - 1114 %I Nature Publishing Group %C London %@ false
539. Bock C, Von Kuster G, Halachev K, Taylor J, Nekrutenko A, Lengauer T: Web-based Analysis of (epi-) Genome Data using EpiGRAPH and Galaxy. In Genetic Variation. New York, NY: Springer; 2010. [Methods in Molecular Biology, vol. 628]
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@incollection{Bock2010b, TITLE = {Web-based Analysis of (epi-) Genome Data using {EpiGRAPH} and Galaxy}, AUTHOR = {Bock, Christoph and Von Kuster, Greg and Halachev, Konstantin and Taylor, James and Nekrutenko, Anton and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {978-1-60327-366-4}, URL = {http://dx.doi.org/10.1007/978-1-60327-367-1_15}, DOI = {10.1007/978-1-60327-367-1_15}, LOCALID = {Local-ID: C125673F004B2D7B-37B66D081AB68DE2C125781C003BC281-Bock2010b}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2010}, DATE = {2010}, BOOKTITLE = {Genetic Variation}, EDITOR = {Barnes, Michael R. and Breen, Gerome}, PAGES = {275--296}, SERIES = {Methods in Molecular Biology}, VOLUME = {628}, }
Endnote
%0 Book Section %A Bock, Christoph %A Von Kuster, Greg %A Halachev, Konstantin %A Taylor, James %A Nekrutenko, Anton %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Web-based Analysis of (epi-) Genome Data using EpiGRAPH and Galaxy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15B0-8 %F EDOC: 536653 %R 10.1007/978-1-60327-367-1_15 %U http://dx.doi.org/10.1007/978-1-60327-367-1_15 %F OTHER: Local-ID: C125673F004B2D7B-37B66D081AB68DE2C125781C003BC281-Bock2010b %D 2010 %B Genetic Variation %E Barnes, Michael R.; Breen, Gerome %P 275 - 296 %I Springer %C New York, NY %@ 978-1-60327-366-4 %S Methods in Molecular Biology %N 628
540. Bogojeska J, Bickel S, Altmann A, Lengauer T: Dealing with Sparse Data in Predicting Outcomes of HIV Combination Therapies. Bioinformatics 2010, 26.
Abstract
Motivation: As there exists no cure or vaccine for the infection with human <br>immunodeficiency virus (HIV), the standard approach to treating HIV patients is <br>to repeatedly administer different combinations of several antiretroviral <br>drugs. Because of the large number of possible drug combinations, manually <br>finding a successful regimen becomes practically impossible. This presents a <br>major challenge for HIV treatment. The application of machine learning methods <br>for predicting virological responses to potential therapies is a possible <br>approach to solving this problem. However, due to evolving trends in treating <br>HIV patients the available clinical datasets have a highly unbalanced <br>representation, which might negatively affect the usefulness of derived <br>statistical models.<br><br>Results: This article presents an approach that tackles the problem of <br>predicting virological response to combination therapies by learning a separate <br>logistic regression model for each therapy. The models are fitted by using not <br>only the data from the target therapy but also the information from similar <br>therapies. For this purpose, we introduce and evaluate two different measures <br>of therapy similarity. The models are also able to incorporate phenotypic <br>knowledge on the therapy outcomes through a Gaussian prior. With our approach <br>we balance the uneven therapy representation in the datasets and produce higher <br>quality models for therapies with very few training samples. According to the <br>results from the computational experiments our therapy similarity model <br>performs significantly better than training separate models for each therapy by <br>using solely their examples. Furthermore, the model's performance is as good as <br>an approach that encodes therapy information in the input feature space with <br>the advantage of delivering better results for therapies with very few training <br>samples.
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@article{Bogojeska-et-al_Bioinformatics10, TITLE = {Dealing with Sparse Data in Predicting Outcomes of {HIV} Combination Therapies}, AUTHOR = {Bogojeska, Jasmina and Bickel, Steffen and Altmann, Andr{\'e} and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://bioinformatics.oxfordjournals.org/content/26/17/2085.full}, DOI = {10.1093/bioinformatics/btq361}, LOCALID = {Local-ID: C125673F004B2D7B-3E1FBC4FF547FA99C12577F40059916E-Bogojeska2010}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2010}, DATE = {2010}, ABSTRACT = {Motivation: As there exists no cure or vaccine for the infection with human <br>immunodeficiency virus (HIV), the standard approach to treating HIV patients is <br>to repeatedly administer different combinations of several antiretroviral <br>drugs. Because of the large number of possible drug combinations, manually <br>finding a successful regimen becomes practically impossible. This presents a <br>major challenge for HIV treatment. The application of machine learning methods <br>for predicting virological responses to potential therapies is a possible <br>approach to solving this problem. However, due to evolving trends in treating <br>HIV patients the available clinical datasets have a highly unbalanced <br>representation, which might negatively affect the usefulness of derived <br>statistical models.<br><br>Results: This article presents an approach that tackles the problem of <br>predicting virological response to combination therapies by learning a separate <br>logistic regression model for each therapy. The models are fitted by using not <br>only the data from the target therapy but also the information from similar <br>therapies. For this purpose, we introduce and evaluate two different measures <br>of therapy similarity. The models are also able to incorporate phenotypic <br>knowledge on the therapy outcomes through a Gaussian prior. With our approach <br>we balance the uneven therapy representation in the datasets and produce higher <br>quality models for therapies with very few training samples. According to the <br>results from the computational experiments our therapy similarity model <br>performs significantly better than training separate models for each therapy by <br>using solely their examples. Furthermore, the model's performance is as good as <br>an approach that encodes therapy information in the input feature space with <br>the advantage of delivering better results for therapies with very few training <br>samples.}, JOURNAL = {Bioinformatics}, VOLUME = {26}, NUMBER = {17}, PAGES = {2085--2092}, }
Endnote
%0 Journal Article %A Bogojeska, Jasmina %A Bickel, Steffen %A Altmann, Andr&#233; %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Machine Learning, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Dealing with Sparse Data in Predicting Outcomes of HIV Combination Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-156C-4 %F EDOC: 536640 %R 10.1093/bioinformatics/btq361 %U http://bioinformatics.oxfordjournals.org/content/26/17/2085.full %F OTHER: Local-ID: C125673F004B2D7B-3E1FBC4FF547FA99C12577F40059916E-Bogojeska2010 %7 2010-06-30 %D 2010 %* Review method: peer-reviewed %X Motivation: As there exists no cure or vaccine for the infection with human <br>immunodeficiency virus (HIV), the standard approach to treating HIV patients is <br>to repeatedly administer different combinations of several antiretroviral <br>drugs. Because of the large number of possible drug combinations, manually <br>finding a successful regimen becomes practically impossible. This presents a <br>major challenge for HIV treatment. The application of machine learning methods <br>for predicting virological responses to potential therapies is a possible <br>approach to solving this problem. However, due to evolving trends in treating <br>HIV patients the available clinical datasets have a highly unbalanced <br>representation, which might negatively affect the usefulness of derived <br>statistical models.<br><br>Results: This article presents an approach that tackles the problem of <br>predicting virological response to combination therapies by learning a separate <br>logistic regression model for each therapy. The models are fitted by using not <br>only the data from the target therapy but also the information from similar <br>therapies. For this purpose, we introduce and evaluate two different measures <br>of therapy similarity. The models are also able to incorporate phenotypic <br>knowledge on the therapy outcomes through a Gaussian prior. With our approach <br>we balance the uneven therapy representation in the datasets and produce higher <br>quality models for therapies with very few training samples. According to the <br>results from the computational experiments our therapy similarity model <br>performs significantly better than training separate models for each therapy by <br>using solely their examples. Furthermore, the model's performance is as good as <br>an approach that encodes therapy information in the input feature space with <br>the advantage of delivering better results for therapies with very few training <br>samples. %J Bioinformatics %V 26 %N 17 %& 2085 %P 2085 - 2092 %I Oxford University Press %C Oxford %@ false
541. Bozek K, Rosahl AL, Gaub S, Lorenzen S, Herzel H: Circadian Transcription in Liver. Biosystems 2010, 102.
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@article{BozekCircadianLiver2010, TITLE = {Circadian Transcription in Liver}, AUTHOR = {Bozek, Katarzyna and Rosahl, A. L. and Gaub, S. and Lorenzen, S. and Herzel, H.}, LANGUAGE = {eng}, ISSN = {0303-2647}, URL = {http://dx.doi.org/10.1016/j.biosystems.2010.07.010}, DOI = {10.1016/j.biosystems.2010.07.010}, LOCALID = {Local-ID: C125673F004B2D7B-344098CF1C5D5F06C12577F10036B4FD-BozekCircadianLiver2010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Biosystems}, VOLUME = {102}, NUMBER = {1}, PAGES = {61--69}, }
Endnote
%0 Journal Article %A Bozek, Katarzyna %A Rosahl, A. L. %A Gaub, S. %A Lorenzen, S. %A Herzel, H. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Circadian Transcription in Liver : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1565-1 %F EDOC: 536636 %R 10.1016/j.biosystems.2010.07.010 %U http://dx.doi.org/10.1016/j.biosystems.2010.07.010 %F OTHER: Local-ID: C125673F004B2D7B-344098CF1C5D5F06C12577F10036B4FD-BozekCircadianLiver2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Biosystems %V 102 %N 1 %& 61 %P 61 - 69 %I Elsevier %C Amsterdam %@ false
542. Bozek K, Lengauer T: Positive Selection of HIV Host Factors and the Evolution of Lentivirus Genes. BMC Evolutionary Biology 2010, 10.
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@article{Bozek2010a, TITLE = {Positive Selection of {HIV} Host Factors and the Evolution of Lentivirus Genes}, AUTHOR = {Bozek, Katarzyna and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1471-2148}, URL = {http://dx.doi.org/10.1186/1471-2148-10-186}, DOI = {10.1186/1471-2148-10-186}, LOCALID = {Local-ID: C125673F004B2D7B-9D12DEB66BDA814DC12577AE004AA172-Bozek2010a}, PUBLISHER = {BioMedCentral}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {BMC Evolutionary Biology}, VOLUME = {10}, NUMBER = {1}, PAGES = {186,1--186,15}, EID = {186}, }
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%0 Journal Article %A Bozek, Katarzyna %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Positive Selection of HIV Host Factors and the Evolution of Lentivirus Genes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15A1-A %F EDOC: 536627 %R 10.1186/1471-2148-10-186 %U http://dx.doi.org/10.1186/1471-2148-10-186 %F OTHER: Local-ID: C125673F004B2D7B-9D12DEB66BDA814DC12577AE004AA172-Bozek2010a %7 2010 %D 2010 %J BMC Evolutionary Biology %V 10 %N 1 %& 186,1 %P 186,1 - 186,15 %Z sequence number: 186 %I BioMedCentral %C London %@ false
543. Brunner S, Hurni S, Streckeisen P, Mayr G, Albrecht M, Yahiaoui N, Keller B: Intragenic Allele Pyramiding Combines Different Specificities of Wheat Pm3 Resistance Alleles. The Plant Journal 2010, 64.
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@article{Albrecht2010i, TITLE = {Intragenic Allele Pyramiding Combines Different Specificities of Wheat {P}m3 Resistance Alleles}, AUTHOR = {Brunner, Susanne and Hurni, Severine and Streckeisen, Philipp and Mayr, Gabriele and Albrecht, Mario and Yahiaoui, Nabila and Keller, Beat}, LANGUAGE = {eng}, ISSN = {0960-7412}, URL = {http://dx.doi.org/10.1111/j.1365-313X.2010.04342.x}, DOI = {10.1111/j.1365-313X.2010.04342.x}, LOCALID = {Local-ID: C125673F004B2D7B-A7F46A1DAF353029C12577F10063ACFA-Albrecht2010i}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2010}, DATE = {2010}, JOURNAL = {The Plant Journal}, VOLUME = {64}, NUMBER = {3}, PAGES = {433--445}, }
Endnote
%0 Journal Article %A Brunner, Susanne %A Hurni, Severine %A Streckeisen, Philipp %A Mayr, Gabriele %A Albrecht, Mario %A Yahiaoui, Nabila %A Keller, Beat %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Intragenic Allele Pyramiding Combines Different Specificities of Wheat Pm3 Resistance Alleles : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1590-0 %F EDOC: 536638 %R 10.1111/j.1365-313X.2010.04342.x %U http://dx.doi.org/10.1111/j.1365-313X.2010.04342.x %F OTHER: Local-ID: C125673F004B2D7B-A7F46A1DAF353029C12577F10063ACFA-Albrecht2010i %7 2010 %D 2010 %* Review method: peer-reviewed %J The Plant Journal %V 64 %N 3 %& 433 %P 433 - 445 %I Wiley %C Chichester %@ false
544. Codoñer FM, Pou C, Thielen A, García F, Delgado R, Dalmau D, Santos JR, Buzón MJ, Martínez-Picado JA-T, Miguel, Clotet B, Ruiz L, Paredes R: Dynamic Escape of Pre-existing Raltegravir-resistant HIV-1 from Raltegravir Selection Pressure. Antiviral Research 2010, 88.
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@article{Codoner2010, TITLE = {Dynamic Escape of Pre-existing Raltegravir-resistant {HIV}-1 from Raltegravir Selection Pressure}, AUTHOR = {Codo{\~n}er, Francisco M and Pou, Christian and Thielen, Alexander and Garc{\'i}a, Federico and Delgado, Rafael and Dalmau, David and Santos, Jos{\'e} Ramon and Buz{\'o}n, Maria Jos{\'e} and Mart{\'i}nez-Picado, Javier Alvarez-Tejado, Miguel and Clotet, Bonaventura and Ruiz, Lidia and Paredes, Roger}, LANGUAGE = {eng}, ISSN = {0166-3542}, URL = {http://dx.doi.org/10.1016/j.antiviral.2010.09.016}, DOI = {10.1016/j.antiviral.2010.09.016}, LOCALID = {Local-ID: C125673F004B2D7B-AB5EC0D564447A06C12577F8003E384A-Codoner2010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Antiviral Research}, VOLUME = {88}, NUMBER = {3}, PAGES = {281--286}, }
Endnote
%0 Journal Article %A Codo&#241;er, Francisco M %A Pou, Christian %A Thielen, Alexander %A Garc&#237;a, Federico %A Delgado, Rafael %A Dalmau, David %A Santos, Jos&#233; Ramon %A Buz&#243;n, Maria Jos&#233; %A Mart&#237;nez-Picado, Javier Alvarez-Tejado, Miguel %A Clotet, Bonaventura %A Ruiz, Lidia %A Paredes, Roger %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Dynamic Escape of Pre-existing Raltegravir-resistant HIV-1 from Raltegravir Selection Pressure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1572-3 %F EDOC: 536641 %R 10.1016/j.antiviral.2010.09.016 %U http://dx.doi.org/10.1016/j.antiviral.2010.09.016 %F OTHER: Local-ID: C125673F004B2D7B-AB5EC0D564447A06C12577F8003E384A-Codoner2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Antiviral Research %V 88 %N 3 %& 281 %P 281 - 286 %I Elsevier %C Amsterdam %@ false
545. Däumer M, Awerkiew S, Sierra Aragon S, Kartashev V, Poplavskaja T, Klein R, Sichtig N, Thielen B, Lengauer T, Roomp K, Pfister H, Kaiser R: Short Communication: Selection of Thymidine Analogue Resitance Mutational Patterns in Children from a Common HIV Type 1 Subtype G Source. AIDS Research and Human Retroviruses 2010, 26.
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@article{Daumeretal2010, TITLE = {Short Communication: Selection of Thymidine Analogue Resitance Mutational Patterns in Children from a Common {HIV} Type 1 Subtype {G} Source}, AUTHOR = {D{\"a}umer, Martin and Awerkiew, Sabine and Sierra Aragon, Saleto and Kartashev, Vladimir and Poplavskaja, Tatjana and Klein, Rolf and Sichtig, Nadine and Thielen, Bernhard and Lengauer, Thomas and Roomp, Kirsten and Pfister, Herbert and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1931-8405}, URL = {http://dx.doi.org/10.1089=aid.2009.0233}, DOI = {10.1089=aid.2009.0233}, LOCALID = {Local-ID: C125673F004B2D7B-A3AB35EEC366CD0BC1257816002D7F4F-D&#228;umeretal2010}, PUBLISHER = {Mary Ann Liebert}, ADDRESS = {New Rochelle, NY}, YEAR = {2010}, DATE = {2010}, JOURNAL = {AIDS Research and Human Retroviruses}, VOLUME = {26}, NUMBER = {3}, PAGES = {275--278}, }
Endnote
%0 Journal Article %A D&#228;umer, Martin %A Awerkiew, Sabine %A Sierra Aragon, Saleto %A Kartashev, Vladimir %A Poplavskaja, Tatjana %A Klein, Rolf %A Sichtig, Nadine %A Thielen, Bernhard %A Lengauer, Thomas %A Roomp, Kirsten %A Pfister, Herbert %A Kaiser, Rolf %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Short Communication: Selection of Thymidine Analogue Resitance Mutational Patterns in Children from a Common HIV Type 1 Subtype G Source : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15AC-3 %F EDOC: 536648 %R 10.1089=aid.2009.0233 %U http://dx.doi.org/10.1089=aid.2009.0233 %F OTHER: Local-ID: C125673F004B2D7B-A3AB35EEC366CD0BC1257816002D7F4F-D&#228;umeretal2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J AIDS Research and Human Retroviruses %V 26 %N 3 %& 275 %P 275 - 278 %I Mary Ann Liebert %C New Rochelle, NY %@ false
546. Dörr B: Using copy number variation fpr predicting susceptibility to glioblastoma. Universität des Saarlandes; 2010.
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@mastersthesis{Dorr2010a, TITLE = {Using copy number variation fpr predicting susceptibility to glioblastoma}, AUTHOR = {D{\"o}rr, Barbara}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-52D002519153E7FBC1257834003DB97E-D&#246;rr2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A D&#246;rr, Barbara %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Using copy number variation fpr predicting susceptibility to glioblastoma : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1440-A %F EDOC: 536662 %F OTHER: Local-ID: C125673F004B2D7B-52D002519153E7FBC1257834003DB97E-D&#246;rr2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V bachelor %9 bachelor
547. Ellinghaus E, Ellinghaus D, Stuart PE, Nair RP, Debrus S, Raelson JV, Belouchi M, Fournier H, Reinhard C, Ding J, Li Y, Tejasvi T, Gudjonsson J, Stoll SW, Voorhees JJ, Lambert S, Weidinger S, Eberlein B, Kunz M, Rahman P, Gladman DD, Gieger C, Wichmann HE, Karlsen TH, Mayr G, Albrecht M, Kabelitz D, Mrowietz U, Abecasis GR, Elder JT, et al.: Genome-wide Association Study Identifies a Psoriasis Susceptibility Locus at TRAF3IP2. Nature Genetics 2010, 42.
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@article{Albrecht2010j, TITLE = {Genome-wide Association Study Identifies a Psoriasis Susceptibility Locus at {TRAF3IP2}}, AUTHOR = {Ellinghaus, Eva and Ellinghaus, David and Stuart, Philip E. and Nair, Rajan P. and Debrus, Sophie and Raelson, John V. and Belouchi, Majid and Fournier, H{\'e}l{\`e}ne and Reinhard, Claudia and Ding, Jun and Li, Yun and Tejasvi, Trilokraj and Gudjonsson, Johann and Stoll, Stefan W. and Voorhees, John J. and Lambert, Sylviane and Weidinger, Stephan and Eberlein, Bernadette and Kunz, Manfred and Rahman, Proton and Gladman, Dafna D. and Gieger, Christian and Wichmann, H. Erich and Karlsen, Tom H. and Mayr, Gabriele and Albrecht, Mario and Kabelitz, Dieter and Mrowietz, Ulrich and Abecasis, Gon{\c c}alo R. and Elder, James T. and Schreiber, Stefan and Weichenthal, Michael and Franke, Andre}, LANGUAGE = {eng}, ISSN = {1061-4036}, URL = {http://dx.doi.org/10.1038/ng.689}, DOI = {10.1038/ng.689}, LOCALID = {Local-ID: C125673F004B2D7B-D0C716A159F14C10C12577F10064A4F4-Albrecht2010j}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature Genetics}, VOLUME = {42}, NUMBER = {11}, PAGES = {991--995}, }
Endnote
%0 Journal Article %A Ellinghaus, Eva %A Ellinghaus, David %A Stuart, Philip E. %A Nair, Rajan P. %A Debrus, Sophie %A Raelson, John V. %A Belouchi, Majid %A Fournier, H&#233;l&#232;ne %A Reinhard, Claudia %A Ding, Jun %A Li, Yun %A Tejasvi, Trilokraj %A Gudjonsson, Johann %A Stoll, Stefan W. %A Voorhees, John J. %A Lambert, Sylviane %A Weidinger, Stephan %A Eberlein, Bernadette %A Kunz, Manfred %A Rahman, Proton %A Gladman, Dafna D. %A Gieger, Christian %A Wichmann, H. Erich %A Karlsen, Tom H. %A Mayr, Gabriele %A Albrecht, Mario %A Kabelitz, Dieter %A Mrowietz, Ulrich %A Abecasis, Gon&#231;alo R. %A Elder, James T. %A Schreiber, Stefan %A Weichenthal, Michael %A Franke, Andre %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Genome-wide Association Study Identifies a Psoriasis Susceptibility Locus at TRAF3IP2 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1581-1 %F EDOC: 536639 %R 10.1038/ng.689 %U http://dx.doi.org/10.1038/ng.689 %F OTHER: Local-ID: C125673F004B2D7B-D0C716A159F14C10C12577F10064A4F4-Albrecht2010j %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature Genetics %V 42 %N 11 %& 991 %P 991 - 995 %I Nature Publishing Group %C London %@ false
548. Emig D, Salomonis N, Baumbach J, Lengauer T, Conklin BR, Albrecht M: AltAnalyze and DomainGraph: Analyzing and Visualizing Exon Expression Data. Nucleic Acids Research 2010, 38(Suppl. 2).
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@article{Albrecht2010f, TITLE = {{AltAnalyze} and {DomainGraph}: Analyzing and Visualizing Exon Expression Data}, AUTHOR = {Emig, Dorothea and Salomonis, Nathan and Baumbach, Jan and Lengauer, Thomas and Conklin, Bruce R. and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {0305-1048}, URL = {http://dx.doi.org/10.1093/nar/gkq405}, DOI = {10.1093/nar/gkq405}, LOCALID = {Local-ID: C125673F004B2D7B-BB04A4FED8B4814CC1257753004DA231-Albrecht2010f}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nucleic Acids Research}, VOLUME = {38}, NUMBER = {Suppl. 2}, PAGES = {W755--W762}, }
Endnote
%0 Journal Article %A Emig, Dorothea %A Salomonis, Nathan %A Baumbach, Jan %A Lengauer, Thomas %A Conklin, Bruce R. %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T AltAnalyze and DomainGraph: Analyzing and Visualizing Exon Expression Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-155D-6 %F EDOC: 536624 %R 10.1093/nar/gkq405 %U http://dx.doi.org/10.1093/nar/gkq405 %F OTHER: Local-ID: C125673F004B2D7B-BB04A4FED8B4814CC1257753004DA231-Albrecht2010f %7 2010 %D 2010 %* Review method: peer-reviewed %J Nucleic Acids Research %O Nucleic Acids Res %V 38 %N Suppl. 2 %& W755 %P W755 - W762 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/nar/gkq405
549. Emig D, Kacprowski T, Albrecht M: Measuring and Analyzing Tissue Specificity of Human Genes and Protein Complexes. In Seventh International Workshop on Computational Systems Biology, WCSB 2010. Tampere International Center for Signal Processing; 2010. [TICSP Series]
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@inproceedings{Albrecht2010g, TITLE = {Measuring and Analyzing Tissue Specificity of Human Genes and Protein Complexes}, AUTHOR = {Emig, Dorothea and Kacprowski, Tim and Albrecht, Mario}, LANGUAGE = {eng}, ISBN = {978-952-15-2384-7}, URL = {http://www.cs.tut.fi/wcsb10/proc_of_wcsb10.pdf}, LOCALID = {Local-ID: C125673F004B2D7B-7E435FEA8DB4EDEAC1257753004F52DA-Albrecht2010g}, PUBLISHER = {Tampere International Center for Signal Processing}, YEAR = {2010}, DATE = {2010}, BOOKTITLE = {Seventh International Workshop on Computational Systems Biology, WCSB 2010}, EDITOR = {Nykter, Matti and Ruusuvuori, Pekka and Carlberg, Carsten and Yli-Harja, Olli}, PAGES = {27--30}, SERIES = {TICSP series}, ADDRESS = {Luxembourg, Luxembourg}, }
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%0 Conference Proceedings %A Emig, Dorothea %A Kacprowski, Tim %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Measuring and Analyzing Tissue Specificity of Human Genes and Protein Complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1592-C %F EDOC: 536625 %U http://www.cs.tut.fi/wcsb10/proc_of_wcsb10.pdf %F OTHER: Local-ID: C125673F004B2D7B-7E435FEA8DB4EDEAC1257753004F52DA-Albrecht2010g %D 2010 %B Seventh International Workshop on Computational Systems Biology %Z date of event: 2010-06-16 - 2010-06-18 %C Luxembourg, Luxembourg %B Seventh International Workshop on Computational Systems Biology, WCSB 2010 %E Nykter, Matti; Ruusuvuori, Pekka; Carlberg, Carsten; Yli-Harja, Olli %P 27 - 30 %I Tampere International Center for Signal Processing %@ 978-952-15-2384-7 %B TICSP series
550. Feuerbach L, Lengauer T: Ancestral Germline Methylation Reconstruction of Young Repeats. In Transcription, Chromatin Structure and DNA Repair in Development and Differentiation. Universitaet Duisburg Essen; 2010.
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@inproceedings{Feuerbach2010_P2, TITLE = {Ancestral Germline Methylation Reconstruction of Young Repeats}, AUTHOR = {Feuerbach, Lars and Lengauer, Thomas}, LANGUAGE = {eng}, PUBLISHER = {Universitaet Duisburg Essen}, YEAR = {2010}, DATE = {2010}, BOOKTITLE = {Transcription, Chromatin Structure and DNA Repair in Development and Differentiation}, PAGES = {81--81}, ADDRESS = {Essen, Germany}, }
Endnote
%0 Conference Proceedings %A Feuerbach, Lars %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Ancestral Germline Methylation Reconstruction of Young Repeats : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-AA44-6 %D 2010 %B Transcription, Chromatin Structure and DNA Repair in Development and Differentiation %Z date of event: 2010-07-07 - 2010-07-10 %C Essen, Germany %B Transcription, Chromatin Structure and DNA Repair in Development and Differentiation %P 81 - 81 %I Universitaet Duisburg Essen
551. Franke A, Balschun T, Sina C, Ellinghaus D, Häsler R, Mayr G, Albrecht M, Wittig M, Buchert E, Nikolaus S, Gieger C, Wichmann HE, Sventoraityte J, Kupcinskas L, Onnie CM, Gazouli M, Anagnou NP, Strachan D, McArdle WL, Mathew CG, Rutgeerts P, Vermeire S, Vatn MH, Krawczak M, Rosenstiel P, Karlsen TH, Schreiber S: Genome-wide Association Study for Ulcerative Colitis Identifies Risk Loci at 7q22 and 22q13 (IL17REL). Nature Genetics 2010, 42.
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@article{Albrecht2010c, TITLE = {Genome-wide Association Study for Ulcerative Colitis Identifies Risk Loci at 7q22 and 22q13 {(IL17REL)}}, AUTHOR = {Franke, Andre and Balschun, Tobias and Sina, Christian and Ellinghaus, David and H{\"a}sler, Robert and Mayr, Gabriele and Albrecht, Mario and Wittig, Michael and Buchert, Eva and Nikolaus, Susanna and Gieger, Christian and Wichmann, H. Erich and Sventoraityte, Jurgita and Kupcinskas, Limas and Onnie, Clive M. and Gazouli, Maria and Anagnou, Nicholas P. and Strachan, David and McArdle, Wendy L. and Mathew, Christopher G. and Rutgeerts, Paul and Vermeire, S{\'e}verine and Vatn, Morten H. and Krawczak, Michael and Rosenstiel, Philip and Karlsen, Tom H. and Schreiber, Stefan}, LANGUAGE = {eng}, ISSN = {1061-4036}, URL = {http://dx.doi.org/10.1038/ng.553}, DOI = {10.1038/ng.553}, LOCALID = {Local-ID: C125673F004B2D7B-C82D78E054979136C1257710006500D4-Albrecht2010c}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature Genetics}, VOLUME = {42}, NUMBER = {4}, PAGES = {292--294}, }
Endnote
%0 Journal Article %A Franke, Andre %A Balschun, Tobias %A Sina, Christian %A Ellinghaus, David %A H&#228;sler, Robert %A Mayr, Gabriele %A Albrecht, Mario %A Wittig, Michael %A Buchert, Eva %A Nikolaus, Susanna %A Gieger, Christian %A Wichmann, H. Erich %A Sventoraityte, Jurgita %A Kupcinskas, Limas %A Onnie, Clive M. %A Gazouli, Maria %A Anagnou, Nicholas P. %A Strachan, David %A McArdle, Wendy L. %A Mathew, Christopher G. %A Rutgeerts, Paul %A Vermeire, S&#233;verine %A Vatn, Morten H. %A Krawczak, Michael %A Rosenstiel, Philip %A Karlsen, Tom H. %A Schreiber, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Genome-wide Association Study for Ulcerative Colitis Identifies Risk Loci at 7q22 and 22q13 (IL17REL) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-157F-9 %F EDOC: 536621 %R 10.1038/ng.553 %U http://dx.doi.org/10.1038/ng.553 %F OTHER: Local-ID: C125673F004B2D7B-C82D78E054979136C1257710006500D4-Albrecht2010c %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature Genetics %V 42 %N 4 %& 292 %P 292 - 294 %I Nature Publishing Group %C London %@ false
552. Gatzmann F: GOdot Sequence - function prediction from protein sequence. Universität des Saarlandes; 2010.
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@mastersthesis{Gatzmann2010a, TITLE = {{GOdot} Sequence -- function prediction from protein sequence}, AUTHOR = {Gatzmann, Fanny}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-C57116B0CD2838E7C1257834003CABD2-Gatzmann2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Gatzmann, Fanny %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T GOdot Sequence - function prediction from protein sequence : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1446-D %F EDOC: 536661 %F OTHER: Local-ID: C125673F004B2D7B-C57116B0CD2838E7C1257834003CABD2-Gatzmann2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V bachelor %9 bachelor
553. Gu H, Bock C, Mikkelsen TS, Jäger N, Smith ZD, Tomazou E, Gnirke A, Lander ES, Meissner A: Genome-scale DNA Methylation Mapping of Clinical Samples at Single-Nucleotide Resolution. Nature Methods 2010, 7.
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@article{GuBock2010, TITLE = {Genome-scale {DNA} Methylation Mapping of Clinical Samples at Single-nucleotide Resolution}, AUTHOR = {Gu, Hongcang and Bock, Christoph and Mikkelsen, Tarjei S. and J{\"a}ger, Natalie and Smith, Zachary D. and Tomazou, Eleni and Gnirke, Andreas and Lander, Eric S. and Meissner, Alexander}, LANGUAGE = {eng}, ISSN = {1548-7091}, URL = {http://dx.doi.org/10.1038/nmeth.1414}, DOI = {10.1038/nmeth.1414}, LOCALID = {Local-ID: C125673F004B2D7B-E833A5BFCF6FA3DEC12578180070CC67-GuBock2010}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature Methods}, VOLUME = {7}, NUMBER = {2}, PAGES = {133--136}, }
Endnote
%0 Journal Article %A Gu, Hongcang %A Bock, Christoph %A Mikkelsen, Tarjei S. %A J&#228;ger, Natalie %A Smith, Zachary D. %A Tomazou, Eleni %A Gnirke, Andreas %A Lander, Eric S. %A Meissner, Alexander %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Genome-scale DNA Methylation Mapping of Clinical Samples at Single-Nucleotide Resolution : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-157D-D %F EDOC: 536651 %R 10.1038/nmeth.1414 %U http://dx.doi.org/10.1038/nmeth.1414 %F OTHER: Local-ID: C125673F004B2D7B-E833A5BFCF6FA3DEC12578180070CC67-GuBock2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature Methods %V 7 %N 2 %& 133 %P 133 - 136 %I Nature Publishing Group %C London %@ false
554. Harris RA, Wang T, Coarfa C, Nagarajan RP, Hong C, Downey SL, Johnson BE, Fouse SD, Delaney A, Zhao Y, Olshen A, Ballinger T, Zhou X, Forsberg KJ, Gu J, Echipare L, O’Geen H, Lister R, Pelizzola M, Xi Y, Epstein CB, Bernstein BE, Hawkins RD, Ren B, Chung W-Y, Gu H, Bock C, Gnirke A, Zhang MQ, Haussler D, et al.: Comparison of Sequencing-based Methods to Profile DNA Methylation and Identification of Monoallelic Epigenetic Modifications. Nature biotechnology 2010, 28.
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@article{Harris2010, TITLE = {Comparison of Sequencing-based Methods to Profile {DNA} Methylation and Identification of Monoallelic Epigenetic Modifications}, AUTHOR = {Harris, R. Alan and Wang, Ting and Coarfa, Cristian and Nagarajan, Raman P. and Hong, Chibo and Downey, Sara L. and Johnson, Brett E. and Fouse, Shaun D. and Delaney, Allen and Zhao, Yongjun and Olshen, Adam and Ballinger, Tracy and Zhou, Xin and Forsberg, Kevin J. and Gu, Junchen and Echipare, Lorigail and O'Geen, Heriette and Lister, Ryan and Pelizzola, Mattia and Xi, Yuanxin and Epstein, Charles B. and Bernstein, Bradley E. and Hawkins, R. David and Ren, Bing and Chung, Wen-Yu and Gu, Hongcang and Bock, Christoph and Gnirke, Andreas and Zhang, Michael Q. and Haussler, David and Ecker, Joseph R. and Li, Wei and Farnham, Peggy J. and Waterland, Robert a. and Meissner, Alexander and Marra, Marco A. and Hirst, Martin and Milosavljevic, Aleksandar and Costello, Joseph F.}, LANGUAGE = {eng}, ISSN = {1087-0156}, URL = {http://dx.doi.org/10.1038/nbt.1682}, DOI = {10.1038/nbt.1682}, LOCALID = {Local-ID: C125673F004B2D7B-0648E026BF9E11A7C12578180071A2F2-Harris2010}, PUBLISHER = {Nature Publishing Grouop}, ADDRESS = {London, UK}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature biotechnology}, VOLUME = {28}, NUMBER = {10}, PAGES = {1097--1105}, }
Endnote
%0 Journal Article %A Harris, R. Alan %A Wang, Ting %A Coarfa, Cristian %A Nagarajan, Raman P. %A Hong, Chibo %A Downey, Sara L. %A Johnson, Brett E. %A Fouse, Shaun D. %A Delaney, Allen %A Zhao, Yongjun %A Olshen, Adam %A Ballinger, Tracy %A Zhou, Xin %A Forsberg, Kevin J. %A Gu, Junchen %A Echipare, Lorigail %A O'Geen, Heriette %A Lister, Ryan %A Pelizzola, Mattia %A Xi, Yuanxin %A Epstein, Charles B. %A Bernstein, Bradley E. %A Hawkins, R. David %A Ren, Bing %A Chung, Wen-Yu %A Gu, Hongcang %A Bock, Christoph %A Gnirke, Andreas %A Zhang, Michael Q. %A Haussler, David %A Ecker, Joseph R. %A Li, Wei %A Farnham, Peggy J. %A Waterland, Robert a. %A Meissner, Alexander %A Marra, Marco A. %A Hirst, Martin %A Milosavljevic, Aleksandar %A Costello, Joseph F. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Comparison of Sequencing-based Methods to Profile DNA Methylation and Identification of Monoallelic Epigenetic Modifications : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1569-A %F EDOC: 536652 %R 10.1038/nbt.1682 %U http://dx.doi.org/10.1038/nbt.1682 %F OTHER: Local-ID: C125673F004B2D7B-0648E026BF9E11A7C12578180071A2F2-Harris2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature biotechnology %V 28 %N 10 %& 1097 %P 1097 - 1105 %I Nature Publishing Grouop %C London, UK %@ false
555. Kacprowski T: Analysis of protein complexes and tissue-spedific expression. Universität des Saarlandes; 2010.
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@mastersthesis{Kacprowski2010a, TITLE = {Analysis of protein complexes and tissue-spedific expression}, AUTHOR = {Kacprowski, Tim}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-B4BCE6B8C551A688C1257834003C7821-Kacprowski2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Kacprowski, Tim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis of protein complexes and tissue-spedific expression : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1498-8 %F EDOC: 536659 %F OTHER: Local-ID: C125673F004B2D7B-B4BCE6B8C551A688C1257834003C7821-Kacprowski2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V bachelor %9 bachelor
556. Kamp C, Wolf T, Bravo IG, Kraus B, Krause B, Neumann B, Winskowsky G, Thielen A, Werner A, Schnierle BS: Decreased HIV Diversity After Allogeneic Stem Cell Transplantation of an HIV-1 Infected Patient: A Case Report. Virology Journal 2010, 7.
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@article{Kamp2010, TITLE = {Decreased {HIV} Diversity After Allogeneic Stem Cell Transplantation of an {HIV}-1 Infected Patient: A Case Report}, AUTHOR = {Kamp, Christel and Wolf, Timo and Bravo, Ignacio G and Kraus, Benjamin and Krause, Birgit and Neumann, Britta and Winskowsky, Gudrun and Thielen, Alexander and Werner, Albrecht and Schnierle, Barbara S}, LANGUAGE = {eng}, ISSN = {1743-422X}, URL = {http://www.virologyj.com/content/7/1/55}, DOI = {10.1186/1743-422X-7-55}, LOCALID = {Local-ID: C125673F004B2D7B-3D7B30EE399714F0C12577F8003EDA4C-Kamp2010}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Virology Journal}, VOLUME = {7}, NUMBER = {1}, PAGES = {55,1--55,9}, EID = {55}, }
Endnote
%0 Journal Article %A Kamp, Christel %A Wolf, Timo %A Bravo, Ignacio G %A Kraus, Benjamin %A Krause, Birgit %A Neumann, Britta %A Winskowsky, Gudrun %A Thielen, Alexander %A Werner, Albrecht %A Schnierle, Barbara S %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Decreased HIV Diversity After Allogeneic Stem Cell Transplantation of an HIV-1 Infected Patient: A Case Report : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-156E-F %F EDOC: 536642 %R 10.1186/1743-422X-7-55 %U http://www.virologyj.com/content/7/1/55 %F OTHER: Local-ID: C125673F004B2D7B-3D7B30EE399714F0C12577F8003EDA4C-Kamp2010 %7 2010 %D 2010 %J Virology Journal %V 7 %N 1 %& 55,1 %P 55,1 - 55,9 %Z sequence number: 55 %I BioMed Central %C London %@ false
557. König E: Env-wide analysis of coreceptor determining sites and subtype-specific differences in HIV-1. Universität des Saarlandes; 2010.
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@mastersthesis{Konig2010a, TITLE = {Env-wide analysis of coreceptor determining sites and subtype-specific differences in {HIV}-1}, AUTHOR = {K{\"o}nig, Eva}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6ECCCB669C8526F6C1257834003C90B7-K&#246;nig2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A K&#246;nig, Eva %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Env-wide analysis of coreceptor determining sites and subtype-specific differences in HIV-1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1479-E %F EDOC: 536660 %F OTHER: Local-ID: C125673F004B2D7B-6ECCCB669C8526F6C1257834003C90B7-K&#246;nig2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V bachelor %9 bachelor
558. Kuhn Cuellar LE: A probabilistic algorithm for matching protein structures - and its application to detecting functionally relevant patterns. Universität des Saarlandes; 2010.
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@mastersthesis{Kuhn2010a, TITLE = {A probabilistic algorithm for matching protein structures -- and its application to detecting functionally relevant patterns}, AUTHOR = {Kuhn Cuellar, Luis Eugenio}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6C92695A7AE2ABEEC1257834003E67F4-Kuhn2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saabr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A Kuhn Cuellar, Luis Eugenio %Y Sommer, Ingolf %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A probabilistic algorithm for matching protein structures - and its application to detecting functionally relevant patterns : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-147B-A %F EDOC: 536615 %F OTHER: Local-ID: C125673F004B2D7B-6C92695A7AE2ABEEC1257834003E67F4-Kuhn2010a %I Universit&#228;t des Saarlandes %C Saabr&#252;cken %D 2010 %V master %9 master
559. Kuroishi A, Bozek K, Shioda T, Nakayama EE: A Single Amino Acid Substitution of the Human Immunodeficiency Virus Type 1 Capsid Protein Affects Viral Sensitivity to TRIM5 Alpha. Retrovirology 2010, 7.
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@article{KuroishiBozek2010, TITLE = {A Single Amino Acid Substitution of the Human Immunodeficiency Virus Type 1 Capsid Protein Affects Viral Sensitivity to {TRIM5} Alpha}, AUTHOR = {Kuroishi, Ayumu and Bozek, Katarzyna and Shioda, Tatsuo and Nakayama, Emi E.}, LANGUAGE = {eng}, URL = {http://www.retrovirology.com/content/7/1/58}, DOI = {10.1186/1742-4690-7-58}, LOCALID = {Local-ID: C125673F004B2D7B-8C4179BBB2A3221EC12577F100366CEE-KuroishiBozek2010}, PUBLISHER = {BioMedCentral}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Retrovirology}, VOLUME = {7}, PAGES = {58,1--58,10}, EID = {58}, }
Endnote
%0 Journal Article %A Kuroishi, Ayumu %A Bozek, Katarzyna %A Shioda, Tatsuo %A Nakayama, Emi E. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T A Single Amino Acid Substitution of the Human Immunodeficiency Virus Type 1 Capsid Protein Affects Viral Sensitivity to TRIM5 Alpha : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1561-9 %F EDOC: 536635 %R 10.1186/1742-4690-7-58 %U http://www.retrovirology.com/content/7/1/58 %F OTHER: Local-ID: C125673F004B2D7B-8C4179BBB2A3221EC12577F100366CEE-KuroishiBozek2010 %7 2010 %D 2010 %J Retrovirology %V 7 %& 58,1 %P 58,1 - 58,10 %Z sequence number: 58 %I BioMedCentral %C London
560. Lange CM, Roomp K, Dragan A, Nattermann J, Michalk M, Spengler U, Weich V, Lengauer T, Zeuzem S, Berg T, Sarrazin C: HLA Class I Allele Associations with HCV Genetic Variants in Patients with Chronic HCV Genotypes 1a or 1b Infection. Journal of Hepatology 2010, 53.
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@article{RoompLengauer2010b, TITLE = {{HLA} Class I Allele Associations with {HCV} Genetic Variants in Patients with Chronic {HCV} Genotypes 1a or 1b Infection}, AUTHOR = {Lange, Christian Markus and Roomp, Kirsten and Dragan, Anette and Nattermann, Jacob and Michalk, Monika and Spengler, Ulrich and Weich, Viola and Lengauer, Thomas and Zeuzem, Stefan and Berg, Thoma and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {0168-8278}, URL = {http://dx.doi.org/10.1016/j.jhep.2010.06.011}, DOI = {10.1016/j.jhep.2010.06.011}, LOCALID = {Local-ID: C125673F004B2D7B-C69F4B7D49F888A4C125781600407FB9-RoompLengauer2010b}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Journal of Hepatology}, VOLUME = {53}, NUMBER = {6}, PAGES = {1022--1028}, }
Endnote
%0 Journal Article %A Lange, Christian Markus %A Roomp, Kirsten %A Dragan, Anette %A Nattermann, Jacob %A Michalk, Monika %A Spengler, Ulrich %A Weich, Viola %A Lengauer, Thomas %A Zeuzem, Stefan %A Berg, Thoma %A Sarrazin, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T HLA Class I Allele Associations with HCV Genetic Variants in Patients with Chronic HCV Genotypes 1a or 1b Infection : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1588-4 %F EDOC: 536649 %R 10.1016/j.jhep.2010.06.011 %U http://dx.doi.org/10.1016/j.jhep.2010.06.011 %F OTHER: Local-ID: C125673F004B2D7B-C69F4B7D49F888A4C125781600407FB9-RoompLengauer2010b %7 2010 %D 2010 %* Review method: peer-reviewed %J Journal of Hepatology %V 53 %N 6 %& 1022 %P 1022 - 1028 %I Elsevier %C Amsterdam %@ false
561. Lengauer T, Altmann A, Thielen A, Kaiser R: Chasing the AIDS Virus. Communications of the ACM 2010, 53.
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@article{Lengauer-et-al_Com.ACM.10, TITLE = {Chasing the {AIDS} Virus}, AUTHOR = {Lengauer, Thomas and Altmann, Andr{\'e} and Thielen, Alexander and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {0001-0782}, DOI = {10.1145/1666420.1666440}, LOCALID = {Local-ID: C125673F004B2D7B-0E40FB8CA35DB75AC12577AE004B77EC-Lengauer2010a}, PUBLISHER = {Association for Computing Machinery, Inc.}, ADDRESS = {New York}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Communications of the ACM}, VOLUME = {53}, NUMBER = {3}, PAGES = {66--74}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Altmann, Andr&#233; %A Thielen, Alexander %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Chasing the AIDS Virus : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1563-5 %F EDOC: 536631 %R 10.1145/1666420.1666440 %F OTHER: Local-ID: C125673F004B2D7B-0E40FB8CA35DB75AC12577AE004B77EC-Lengauer2010a %7 2010 %D 2010 %* Review method: peer-reviewed %J Communications of the ACM %V 53 %N 3 %& 66 %P 66 - 74 %I Association for Computing Machinery, Inc. %C New York %@ false
562. Lutsik P: Processing of high-throughput DNA methylation data. Universität des Saarlandes; 2010.
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@mastersthesis{Lutsik2010a, TITLE = {Processing of high-throughput {DNA} methylation data}, AUTHOR = {Lutsik, Pavlo}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-99A6CDF66EEE5836C1257834003E55C9-Lutsik2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A Lutsik, Pavlo %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Processing of high-throughput DNA methylation data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1496-C %F EDOC: 536663 %F OTHER: Local-ID: C125673F004B2D7B-99A6CDF66EEE5836C1257834003E55C9-Lutsik2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V master %9 master
563. Luu PL: Identifying discriminative motifs for molecular function of proteins. Universität des Saarlandes; 2010.
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@mastersthesis{Loi2010a, TITLE = {Identifying discriminative motifs for molecular function of proteins}, AUTHOR = {Luu, Phuc Loi}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-CACD93E133A5ED2AC1257834003E85EB-Loi2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A Luu, Phuc Loi %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identifying discriminative motifs for molecular function of proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1463-B %F EDOC: 536664 %F OTHER: Local-ID: C125673F004B2D7B-CACD93E133A5ED2AC1257834003E85EB-Loi2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V master %9 master
564. McGovern RA, Thielen A, Mo T, Dong W, Woods CK, Chapman D, Lewis M, James I, Heera J, Valdez H, Harrigan PR: Population-based V3 Genotypic Tropism Assay: A Retrospective Analysis Using Screening Samples From the A4001029 and MOTIVATE Studies. AIDS 2010, 24.
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@article{McGovern2010, TITLE = {Population-based {V}3 Genotypic Tropism Assay: A Retrospective Analysis Using Screening Samples From the {A}4001029 and {MOTIVATE} Studies}, AUTHOR = {McGovern, Rachel A and Thielen, Alexander and Mo, Theresa and Dong, Winnie and Woods, Conan K and Chapman, Douglass and Lewis, Marilyn and James, Ian and Heera, Jayvant and Valdez, Hernan and Harrigan, P Richard}, LANGUAGE = {eng}, ISSN = {0269-9370}, URL = {http://dx.doi.org/10.1097/QAD.0b013e32833e6cfb}, DOI = {10.1097/QAD.0b013e32833e6cfb}, LOCALID = {Local-ID: C125673F004B2D7B-B2FB261FE4334D29C12577F8003F5A18-McGovern2010}, PUBLISHER = {Lippincott Williams \& Wilkins}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {AIDS}, VOLUME = {24}, NUMBER = {16}, PAGES = {2517--2525}, }
Endnote
%0 Journal Article %A McGovern, Rachel A %A Thielen, Alexander %A Mo, Theresa %A Dong, Winnie %A Woods, Conan K %A Chapman, Douglass %A Lewis, Marilyn %A James, Ian %A Heera, Jayvant %A Valdez, Hernan %A Harrigan, P Richard %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Population-based V3 Genotypic Tropism Assay: A Retrospective Analysis Using Screening Samples From the A4001029 and MOTIVATE Studies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-159F-1 %F EDOC: 536643 %R 10.1097/QAD.0b013e32833e6cfb %U http://dx.doi.org/10.1097/QAD.0b013e32833e6cfb %F OTHER: Local-ID: C125673F004B2D7B-B2FB261FE4334D29C12577F8003F5A18-McGovern2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J AIDS %V 24 %N 16 %& 2517 %P 2517 - 2525 %I Lippincott Williams & Wilkins %C London %@ false
565. Mihm U, Hofmann WP, Welsch C, Polta A, Lengauer T, Zeuzem S, Sarrazin C, Herrmann E: Effect of Ribavirin on the Frequency of RNAse L Cleavage Sites within the Hepatitis C Viral Genome. Journal of Viral Hepatitis 2010, 17.
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@article{lengauerwelsch2010, TITLE = {Effect of Ribavirin on the Frequency of {RNA}se {L} Cleavage Sites within the Hepatitis {C} Viral Genome}, AUTHOR = {Mihm, Ulrike and Hofmann, W. P. and Welsch, Christoph and Polta, A. and Lengauer, Thomas and Zeuzem, Stefan and Sarrazin, Christoph and Herrmann, E.}, LANGUAGE = {eng}, ISSN = {1352-0504}, URL = {http://dx.doi.org/10.1111/j.1365-2893.2009.01171.x}, DOI = {10.1111/j.1365-2893.2009.01171.x}, LOCALID = {Local-ID: C125673F004B2D7B-44C3F1A370199AA8C1257815004F445D-lengauerwelsch2010}, PUBLISHER = {Wiley-Blackwell}, ADDRESS = {Oxford}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Journal of Viral Hepatitis}, VOLUME = {17}, NUMBER = {3}, PAGES = {217--221}, }
Endnote
%0 Journal Article %A Mihm, Ulrike %A Hofmann, W. P. %A Welsch, Christoph %A Polta, A. %A Lengauer, Thomas %A Zeuzem, Stefan %A Sarrazin, Christoph %A Herrmann, E. %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Effect of Ribavirin on the Frequency of RNAse L Cleavage Sites within the Hepatitis C Viral Genome : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1574-0 %F EDOC: 536647 %R 10.1111/j.1365-2893.2009.01171.x %U http://dx.doi.org/10.1111/j.1365-2893.2009.01171.x %F OTHER: Local-ID: C125673F004B2D7B-44C3F1A370199AA8C1257815004F445D-lengauerwelsch2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Journal of Viral Hepatitis %V 17 %N 3 %& 217 %P 217 - 221 %I Wiley-Blackwell %C Oxford %@ false
566. Perner J: Finding local similarities in gene expression patterns between partially reprogrammed cells and know cell types using a module network approach. Universität des Saarlandes; 2010.
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@mastersthesis{Perner2010a, TITLE = {Finding local similarities in gene expression patterns between partially reprogrammed cells and know cell types using a module network approach}, AUTHOR = {Perner, Juliane}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-2A58198EB323C0EFC1257834003EBAC0-Perner2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A Perner, Juliane %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Finding local similarities in gene expression patterns between partially reprogrammed cells and know cell types using a module network approach : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1442-6 %F EDOC: 536617 %F OTHER: Local-ID: C125673F004B2D7B-2A58198EB323C0EFC1257834003EBAC0-Perner2010a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V master %9 master
567. Prosperi MCF, Rosen-Zvi M, Altmann A, Zazzi M, Di Giambenedetto S, Kaiser R, Schülter E, Struck D, Sloot P, van de Vijver DA, Vandamme A-M, Sönnerborg A: Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models. PLoS ONE 2010, 5.
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@article{Prosperi2010a, TITLE = {Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models}, AUTHOR = {Prosperi, Mattia C. F. and Rosen-Zvi, Michal and Altmann, Andre and Zazzi, Maurizio and Di Giambenedetto, Simona and Kaiser, Rolf and Sch{\"u}lter, Eugen and Struck, Daniel and Sloot, Peter and van de Vijver, David A. and Vandamme, Anne-Mieke and S{\"o}nnerborg, Anders}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://dx.doi.org/10.1371/journal.pone.0013753}, DOI = {10.1371/journal.pone.0013753}, LOCALID = {Local-ID: C125673F004B2D7B-059D566EACF3264BC1257823000068C5-Prosperi2010a}, PUBLISHER = {PLoS ONE}, ADDRESS = {San Francisco, CA}, YEAR = {2010}, DATE = {2010}, JOURNAL = {PLoS ONE}, VOLUME = {5}, NUMBER = {10}, PAGES = {e13753,1--e13753,8}, EID = {e13753}, }
Endnote
%0 Journal Article %A Prosperi, Mattia C. F. %A Rosen-Zvi, Michal %A Altmann, Andre %A Zazzi, Maurizio %A Di Giambenedetto, Simona %A Kaiser, Rolf %A Sch&#252;lter, Eugen %A Struck, Daniel %A Sloot, Peter %A van de Vijver, David A. %A Vandamme, Anne-Mieke %A S&#246;nnerborg, Anders %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-155F-2 %F EDOC: 536655 %R 10.1371/journal.pone.0013753 %U http://dx.doi.org/10.1371/journal.pone.0013753 %F OTHER: Local-ID: C125673F004B2D7B-059D566EACF3264BC1257823000068C5-Prosperi2010a %7 2010 %D 2010 %J PLoS ONE %V 5 %N 10 %& e13753,1 %P e13753,1 - e13753,8 %Z sequence number: e13753 %I PLoS ONE %C San Francisco, CA %@ false
568. Ramírez F, Albrecht M: Finding Scaffold Proteins in Interactomes. Trends in Cell Biology 2010, 20.
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@article{Albrecht2010b, TITLE = {Finding Scaffold Proteins in Interactomes}, AUTHOR = {Ram{\'i}rez, Fidel and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {0962-8924}, URL = {http://dx.doi.org/10.1016/j.tcb.2009.11.003}, DOI = {10.1016/j.tcb.2009.11.003}, LOCALID = {Local-ID: C125673F004B2D7B-3AFEEED14604C277C12576A8004DABDF-Albrecht2010b}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Trends in Cell Biology}, VOLUME = {20}, NUMBER = {1}, PAGES = {2--4}, }
Endnote
%0 Journal Article %A Ram&#237;rez, Fidel %A Albrecht, Mario %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Finding Scaffold Proteins in Interactomes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1578-8 %F EDOC: 536620 %R 10.1016/j.tcb.2009.11.003 %U http://dx.doi.org/10.1016/j.tcb.2009.11.003 %F OTHER: Local-ID: C125673F004B2D7B-3AFEEED14604C277C12576A8004DABDF-Albrecht2010b %7 2010 %D 2010 %* Review method: peer-reviewed %J Trends in Cell Biology %V 20 %N 1 %& 2 %P 2 - 4 %I Elsevier %C Amsterdam %@ false
569. Rhee S-Y, Margeridon-Thermet S, Nguyen M, Liu T, Kagan R, Beggel B, Verheyen J, Kaiser R, Shafer R: Hepatitis B Virus Reverse Transcriptase Sequence Variant Database for Sequence Analysis and Mutation Discovery. Antiviral Research 2010, 88.
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@article{Rhee2010, TITLE = {Hepatitis {B} Virus Reverse Transcriptase Sequence Variant Database for Sequence Analysis and Mutation Discovery}, AUTHOR = {Rhee, Soo-Yon and Margeridon-Thermet, Severin and Nguyen, Mindie and Liu, Tommy and Kagan, Ron and Beggel, Bastian and Verheyen, Jens and Kaiser, Rolf and Shafer, Robert}, LANGUAGE = {eng}, ISSN = {0166-3542}, URL = {http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6T2H-513F8NY-1-9&http://www.sciencedirect.com/science/article/B6T2H-513F8NY-1/2/097486ebb79e4dd8b61480167a1984ba}, DOI = {10.1016/j.antiviral.2010.09.012}, LOCALID = {Local-ID: C125673F004B2D7B-0C60170AB82A5380C12578000043E8AE-Rhee2010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Antiviral Research}, VOLUME = {88}, NUMBER = {3}, PAGES = {269--275}, }
Endnote
%0 Journal Article %A Rhee, Soo-Yon %A Margeridon-Thermet, Severin %A Nguyen, Mindie %A Liu, Tommy %A Kagan, Ron %A Beggel, Bastian %A Verheyen, Jens %A Kaiser, Rolf %A Shafer, Robert %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Hepatitis B Virus Reverse Transcriptase Sequence Variant Database for Sequence Analysis and Mutation Discovery : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1586-8 %F EDOC: 536646 %R 10.1016/j.antiviral.2010.09.012 %U http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6T2H-513F8NY-1-9&http://www.sciencedirect.com/science/article/B6T2H-513F8NY-1/2/097486ebb79e4dd8b61480167a1984ba %F OTHER: Local-ID: C125673F004B2D7B-0C60170AB82A5380C12578000043E8AE-Rhee2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Antiviral Research %V 88 %N 3 %& 269 %P 269 - 275 %I Elsevier %C Amsterdam %@ false
570. Roomp K, Antes I, Lengauer T: Predicting MHC Class I Epitopes in Large Datasets. BMC Bioinformatics 2010, 11.
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@article{Roomp-et-al_BMC10, TITLE = {Predicting {MHC} Class I Epitopes in Large Datasets}, AUTHOR = {Roomp, Kirsten and Antes, Iris and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://www.biomedcentral.com/1471-2105/11/90}, DOI = {10.1186/1471-2105-11-90}, LOCALID = {Local-ID: C125673F004B2D7B-A42CFCEC4AEB3AD0C12577AE004B2646-Roomp2010a}, PUBLISHER = {BioMed Central}, YEAR = {2010}, DATE = {2010}, JOURNAL = {BMC Bioinformatics}, VOLUME = {11}, NUMBER = {1}, PAGES = {1--11}, EID = {90}, }
Endnote
%0 Journal Article %A Roomp, Kirsten %A Antes, Iris %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting MHC Class I Epitopes in Large Datasets : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15A3-6 %F EDOC: 536629 %R 10.1186/1471-2105-11-90 %U http://www.biomedcentral.com/1471-2105/11/90 %F OTHER: Local-ID: C125673F004B2D7B-A42CFCEC4AEB3AD0C12577AE004B2646-Roomp2010a %7 2010 %D 2010 %J BMC Bioinformatics %V 11 %N 1 %& 1 %P 1 - 11 %Z sequence number: 90 %I BioMed Central %@ false %U https://rdcu.be/dOMWs
571. Saigo H, Hattori M, Kashima H, Tsuda K: Reaction Graph Kernels Predict EC Numbers of Unknown Enzymatic Reactions in Plant Secondary Metabolism. BMC Bioinformatics 2010, 11.
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@article{SAIGO2010, TITLE = {Reaction Graph Kernels Predict {EC} Numbers of Unknown Enzymatic Reactions in Plant Secondary Metabolism}, AUTHOR = {Saigo, Hiroto and Hattori, Masahiro and Kashima, Hisashi and Tsuda, Koji}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://www.biomedcentral.com/1471-2105/11/S1/S31}, DOI = {10.1186/1471-2105-11-S1-S31}, LOCALID = {Local-ID: C125673F004B2D7B-DA501215119BA148C1257834004926BF-SAIGO2010}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {BMC Bioinformatics}, VOLUME = {11}, NUMBER = {Suppl.1}, PAGES = {S31,1--S31,7}, EID = {S31}, }
Endnote
%0 Journal Article %A Saigo, Hiroto %A Hattori, Masahiro %A Kashima, Hisashi %A Tsuda, Koji %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Reaction Graph Kernels Predict EC Numbers of Unknown Enzymatic Reactions in Plant Secondary Metabolism : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15AA-7 %F EDOC: 536666 %R 10.1186/1471-2105-11-S1-S31 %U http://www.biomedcentral.com/1471-2105/11/S1/S31 %F OTHER: Local-ID: C125673F004B2D7B-DA501215119BA148C1257834004926BF-SAIGO2010 %7 2010 %D 2010 %J BMC Bioinformatics %V 11 %N Suppl.1 %& S31,1 %P S31,1 - S31,7 %Z sequence number: S31 %I BioMed Central %C London %@ false
572. Schlicker A: Ontology-based Similarity Measures and their Application in Bioinformatics. Universität des Saarlandes; 2010.
Abstract
Genome-wide sequencing projects of many different organisms produce large<br>numbers of sequences that are functionally characterized using experimental and<br>bioinformatics methods. Following the development of the first bio-ontologies,<br>knowledge of the functions of genes and proteins is increasingly made available<br>in a standardized format. This allows for devising approaches that directly<br>exploit functional information using semantic and functional similarity<br>measures. This thesis addresses different aspects of the development and<br>application of such similarity measures.<br><br>First, we analyze semantic and functional similarity measures and apply them for<br>investigating the functional space in different taxa. Second, a new software<br>program and a new database are described, which overcome limitations of existing<br>tools and simplify the utilization of similarity measures for different<br>applications.<br><br>Third, we delineate two applications of our functional similarity measures. We<br>utilize them for analyzing domain and protein interaction datasets and derive<br>thresholds for grouping predicted domain interactions into low- and<br>high-confidence subsets. We also present the new MedSim method for<br>prioritization of candidate disease genes, which is based on the observation<br>that genes and proteins contributing to similar diseases are functionally<br>related. We demonstrate that the MedSim method performs at least as well as more<br>complex state-of-the-art methods and significantly outperforms current methods<br>that also utilize functional annotation.
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@phdthesis{Schlicker2010, TITLE = {Ontology-based Similarity Measures and their Application in Bioinformatics}, AUTHOR = {Schlicker, Andreas}, LANGUAGE = {eng}, URL = {http://scidok.sulb.uni-saarland.de/volltexte/2010/3429/; urn:nbn:de:bsz:291-scidok-34294}, DOI = {10.22028/D291-26005}, LOCALID = {Local-ID: C125673F004B2D7B-E9C50306DF804193C12577EB00373178-Schlicker2010}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, ABSTRACT = {Genome-wide sequencing projects of many different organisms produce large<br>numbers of sequences that are functionally characterized using experimental and<br>bioinformatics methods. Following the development of the first bio-ontologies,<br>knowledge of the functions of genes and proteins is increasingly made available<br>in a standardized format. This allows for devising approaches that directly<br>exploit functional information using semantic and functional similarity<br>measures. This thesis addresses different aspects of the development and<br>application of such similarity measures.<br><br>First, we analyze semantic and functional similarity measures and apply them for<br>investigating the functional space in different taxa. Second, a new software<br>program and a new database are described, which overcome limitations of existing<br>tools and simplify the utilization of similarity measures for different<br>applications.<br><br>Third, we delineate two applications of our functional similarity measures. We<br>utilize them for analyzing domain and protein interaction datasets and derive<br>thresholds for grouping predicted domain interactions into low- and<br>high-confidence subsets. We also present the new MedSim method for<br>prioritization of candidate disease genes, which is based on the observation<br>that genes and proteins contributing to similar diseases are functionally<br>related. We demonstrate that the MedSim method performs at least as well as more<br>complex state-of-the-art methods and significantly outperforms current methods<br>that also utilize functional annotation.}, }
Endnote
%0 Thesis %A Schlicker, Andreas %Y Lengauer, Thomas %A referee: Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Ontology-based Similarity Measures and their Application in Bioinformatics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-143A-9 %F EDOC: 536633 %U http://scidok.sulb.uni-saarland.de/volltexte/2010/3429/ %F OTHER: Local-ID: C125673F004B2D7B-E9C50306DF804193C12577EB00373178-Schlicker2010 %R 10.22028/D291-26005 %U urn:nbn:de:bsz:291-scidok-34294 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V phd %9 phd %X Genome-wide sequencing projects of many different organisms produce large<br>numbers of sequences that are functionally characterized using experimental and<br>bioinformatics methods. Following the development of the first bio-ontologies,<br>knowledge of the functions of genes and proteins is increasingly made available<br>in a standardized format. This allows for devising approaches that directly<br>exploit functional information using semantic and functional similarity<br>measures. This thesis addresses different aspects of the development and<br>application of such similarity measures.<br><br>First, we analyze semantic and functional similarity measures and apply them for<br>investigating the functional space in different taxa. Second, a new software<br>program and a new database are described, which overcome limitations of existing<br>tools and simplify the utilization of similarity measures for different<br>applications.<br><br>Third, we delineate two applications of our functional similarity measures. We<br>utilize them for analyzing domain and protein interaction datasets and derive<br>thresholds for grouping predicted domain interactions into low- and<br>high-confidence subsets. We also present the new MedSim method for<br>prioritization of candidate disease genes, which is based on the observation<br>that genes and proteins contributing to similar diseases are functionally<br>related. We demonstrate that the MedSim method performs at least as well as more<br>complex state-of-the-art methods and significantly outperforms current methods<br>that also utilize functional annotation. %U http://scidok.sulb.uni-saarland.de/volltexte/2010/3429/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
573. Schlicker A, Lengauer T, Albrecht M: Improving Disease Gene Prioritization Using the Semantic Similarity of Gene Ontology Terms. Bioinformatics 2010, 26.
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@article{Schlicker-et-al_Bioinformatics10, TITLE = {Improving Disease Gene Prioritization Using the Semantic Similarity of Gene Ontology Terms}, AUTHOR = {Schlicker, Andreas and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btq384}, DOI = {10.1093/bioinformatics/btq384}, LOCALID = {Local-ID: C125673F004B2D7B-888B9754E93E7CBEC12577AE004A6B9F-Albrecht2010d}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Bioinformatics}, VOLUME = {26}, NUMBER = {18}, PAGES = {i561--i567}, }
Endnote
%0 Journal Article %A Schlicker, Andreas %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improving Disease Gene Prioritization Using the Semantic Similarity of Gene Ontology Terms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-158E-7 %F EDOC: 536626 %R 10.1093/bioinformatics/btq384 %U http://dx.doi.org/10.1093/bioinformatics/btq384 %F OTHER: Local-ID: C125673F004B2D7B-888B9754E93E7CBEC12577AE004A6B9F-Albrecht2010d %7 2010 %D 2010 %* Review method: peer-reviewed %J Bioinformatics %V 26 %N 18 %& i561 %P i561 - i567 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btq384
574. Schlicker A, Albrecht M: FunSimMat Update: New Features for Exploring Functional Similarity. Nucleic Acids Research 2010, 38(Database issue).
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@article{Albrecht2010a, TITLE = {{FunSimMat} Update: New Features for Exploring Functional Similarity}, AUTHOR = {Schlicker, Andreas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {0305-1048}, URL = {http://dx.doi.org/10.1093/nar/gkp979}, DOI = {10.1093/nar/gkp979}, LOCALID = {Local-ID: C125673F004B2D7B-DAF511CF50801FB1C12576A8004D6C05-Albrecht2010a}, PUBLISHER = {Oxford University}, ADDRESS = {Oxford, UK}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nucleic Acids Research}, VOLUME = {38}, NUMBER = {Database issue}, PAGES = {D244--D248}, }
Endnote
%0 Journal Article %A Schlicker, Andreas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T FunSimMat Update: New Features for Exploring Functional Similarity : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-157A-4 %F EDOC: 536619 %R 10.1093/nar/gkp979 %U http://dx.doi.org/10.1093/nar/gkp979 %F OTHER: Local-ID: C125673F004B2D7B-DAF511CF50801FB1C12576A8004D6C05-Albrecht2010a %7 2010 %D 2010 %* Review method: peer-reviewed %J Nucleic Acids Research %V 38 %N Database issue %& D244 %P D244 - D248 %I Oxford University %C Oxford, UK %@ false
575. Speicher N: Network analysis of viral host factors. Universität des Saarlandes; 2010.
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@mastersthesis{Speicher2010, TITLE = {Network analysis of viral host factors}, AUTHOR = {Speicher, Nora}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-81AACB94EC04F78EC125783400398AD7-Speicher2010}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Speicher, Nora %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Network analysis of viral host factors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-142B-B %F EDOC: 536658 %F OTHER: Local-ID: C125673F004B2D7B-81AACB94EC04F78EC125783400398AD7-Speicher2010 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V bachelor %9 bachelor
576. Stöckel D: History Based HIV Therapy Outcome Prediction. Universität des Saarlandes; 2010.
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@mastersthesis{StoeckelMaster2010, TITLE = {History Based {HIV} Therapy Outcome Prediction}, AUTHOR = {St{\"o}ckel, Daniel}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-1D6E741537334AF4C12578220049D380-StoeckelMaster2010}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A St&#246;ckel, Daniel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T History Based HIV Therapy Outcome Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1480-B %F EDOC: 536654 %F OTHER: Local-ID: C125673F004B2D7B-1D6E741537334AF4C12578220049D380-StoeckelMaster2010 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V master %9 master
577. Swenson‌ LC, Boehme‌ R, Thielen A, McGovern‌ RA, Harrigan PR: Genotypic Determination of HIV-1 Tropism in the Clinical Setting. HIV Therapy 2010, 4.
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@article{Swenson2010a, TITLE = {Genotypic Determination of {HIV}-1 Tropism in the Clinical Setting}, AUTHOR = {Swenson, Luke C. and Boehme, Richard and Thielen, Alexander and McGovern, Rachel A. and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {1758-4310}, URL = {http://www.futuremedicine.com/doi/abs/10.2217/hiv.10.15}, DOI = {10.2217/hiv.10.15}, LOCALID = {Local-ID: C125673F004B2D7B-93B58E5C9242B82BC12577F800471EE8-Swenson2010a}, PUBLISHER = {Future Medicine Ltd}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {HIV Therapy}, VOLUME = {4}, NUMBER = {3}, PAGES = {293--303}, }
Endnote
%0 Journal Article %A Swenson&#8204;, Luke C. %A Boehme&#8204;, Richard %A Thielen, Alexander %A McGovern&#8204;, Rachel A. %A Harrigan, P. Richard %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Genotypic Determination of HIV-1 Tropism in the Clinical Setting : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1583-E %F EDOC: 536645 %R 10.2217/hiv.10.15 %U http://www.futuremedicine.com/doi/abs/10.2217/hiv.10.15 %F OTHER: Local-ID: C125673F004B2D7B-93B58E5C9242B82BC12577F800471EE8-Swenson2010a %7 2010 %D 2010 %* Review method: peer-reviewed %J HIV Therapy %V 4 %N 3 %& 293 %P 293 - 303 %I Future Medicine Ltd %C London %@ false
578. Swenson LC, Moores A, Low AJ, Thielen A, Dong W, Woods C, Jensen MA, Wynhoven B, Chan D, Glascock C, Harrigan PR: Improved Detection of CXCR4-using HIV by V3 Genotyping: Application of Population-based and “Deep” Sequencing to Plasma RNA and Proviral DNA. Journal of Acquired Immune Deficiency Syndromes 2010, 54.
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@article{Swenson2010, TITLE = {Improved Detection of {CXCR}4-using HIV by {V3} Genotyping: Application of Population-based and "Deep" Sequencing to Plasma {RNA} and Proviral {DNA}}, AUTHOR = {Swenson, Luke C. and Moores, Andrew and Low, Andrew J. and Thielen, Alexander and Dong, Winnie and Woods, Conan and Jensen, Mark A. and Wynhoven, Brian and Chan, Dennison and Glascock, Christopher and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {1525-4135}, URL = {http://journals.lww.com/jaids/pages/articleviewer.aspx?year=2010&issue=08150&article=00010&type=abstract}, DOI = {10.1097/QAI.0b013e3181d0558f}, LOCALID = {Local-ID: C125673F004B2D7B-264BFB2B4B6934CBC12577F800465B9C-Swenson2010}, PUBLISHER = {Lippincott Williams \& Wilkins}, ADDRESS = {London , UK}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Journal of Acquired Immune Deficiency Syndromes}, VOLUME = {54}, NUMBER = {5}, PAGES = {506--510}, }
Endnote
%0 Journal Article %A Swenson, Luke C. %A Moores, Andrew %A Low, Andrew J. %A Thielen, Alexander %A Dong, Winnie %A Woods, Conan %A Jensen, Mark A. %A Wynhoven, Brian %A Chan, Dennison %A Glascock, Christopher %A Harrigan, P. Richard %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Improved Detection of CXCR4-using HIV by V3 Genotyping: Application of Population-based and "Deep" Sequencing to Plasma RNA and Proviral DNA : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-158A-F %F EDOC: 536644 %R 10.1097/QAI.0b013e3181d0558f %U http://journals.lww.com/jaids/pages/articleviewer.aspx?year=2010&issue=08150&article=00010&type=abstract %F OTHER: Local-ID: C125673F004B2D7B-264BFB2B4B6934CBC12577F800465B9C-Swenson2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Journal of Acquired Immune Deficiency Syndromes %V 54 %N 5 %& 506 %P 506 - 510 %I Lippincott Williams & Wilkins %C London , UK %@ false
579. Thielen A, Lengauer T, Harrigan PR, Swenson L, Dong WW, McGovern RA, Lewis M, James I, Heera J, Valdez H: Mutations within GP41 are correlated with coreceptor tropism but do not substantially improve coreceptor usage prediction. In Reviews in Antiviral Therapy & Infectious Diseases. Volume 2010. Virology Education; 2010.
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@inproceedings{Thielen2010EDRW, TITLE = {Mutations within {GP41} are correlated with coreceptor tropism but do not substantially improve coreceptor usage prediction}, AUTHOR = {Thielen, Alexander and Lengauer, Thomas and Harrigan, P Richard and Swenson, Luke and Dong, Winnie WY and McGovern, Rachel A and Lewis, Marilyn and James, Ian and Heera, Jayvant and Valdez, Hernan}, LANGUAGE = {eng}, ISBN = {1872-437X}, PUBLISHER = {Virology Education}, YEAR = {2010}, DATE = {2010}, BOOKTITLE = {Reviews in Antiviral Therapy \& Infectious Diseases}, VOLUME = {2010}, ISSUE = {1}, PAGES = {47--47}, EID = {Abstract 49}, ADDRESS = {Sorrento, Italy}, }
Endnote
%0 Conference Proceedings %A Thielen, Alexander %A Lengauer, Thomas %A Harrigan, P Richard %A Swenson, Luke %A Dong, Winnie WY %A McGovern, Rachel A %A Lewis, Marilyn %A James, Ian %A Heera, Jayvant %A Valdez, Hernan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Mutations within GP41 are correlated with coreceptor tropism but do not substantially improve coreceptor usage prediction : %G eng %U http://hdl.handle.net/21.11116/0000-0008-0BD6-B %D 2010 %B 8th European HIV Drug Resistance Workshop %Z date of event: 2010-03-17 - 2010-03-19 %C Sorrento, Italy %B Reviews in Antiviral Therapy & Infectious Diseases %V 2010 %N 1 %P 47 - 47 %Z sequence number: Abstract 49 %I Virology Education %@ 1872-437X
580. Thielen A, Sichtig N, Kaiser R, Lam J, Harrigan PR, Lengauer T: Improved Prediction of HIV-1 Coreceptor Usage with Sequence Information from the Second Hypervariable Loop of gp120. Journal of Infectious Diseases 2010, 202.
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@article{Thielen2010, TITLE = {Improved Prediction of {HIV}-1 Coreceptor Usage with Sequence Information from the Second Hypervariable Loop of gp120}, AUTHOR = {Thielen, Alexander and Sichtig, Nadine and Kaiser, Rolf and Lam, Jeffrey and Harrigan, P. Richard and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1537-6613}, URL = {http://dx.doi.org/10.1086/656600}, DOI = {10.1086/656600}, LOCALID = {Local-ID: C125673F004B2D7B-A5D528631A982D6FC12577F8003DB985-Thielen2010}, PUBLISHER = {Chicago Journals}, ADDRESS = {Chicago}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Journal of Infectious Diseases}, VOLUME = {202}, NUMBER = {9}, PAGES = {1435--1443}, }
Endnote
%0 Journal Article %A Thielen, Alexander %A Sichtig, Nadine %A Kaiser, Rolf %A Lam, Jeffrey %A Harrigan, P. Richard %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved Prediction of HIV-1 Coreceptor Usage with Sequence Information from the Second Hypervariable Loop of gp120 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-158C-B %F EDOC: 536667 %R 10.1086/656600 %U http://dx.doi.org/10.1086/656600 %F OTHER: Local-ID: C125673F004B2D7B-A5D528631A982D6FC12577F8003DB985-Thielen2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Journal of Infectious Diseases %V 202 %N 9 %& 1435 %P 1435 - 1443 %I Chicago Journals %C Chicago %@ false
581. Weisser H, Altmann A, Sierra S, Incardona F, Struck D, Sönnerborg A, Kaiser R, Zazzi M, Tschochner M, Walter H, Lengauer T: Only Slight Impact of Predicted Replicative Capacity for Therapy Response Prediction. Plosone 2010, 5.
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@article{Weisser2010a, TITLE = {Only Slight Impact of Predicted Replicative Capacity for Therapy Response Prediction}, AUTHOR = {Weisser, Hendrik and Altmann, Andr{\'e} and Sierra, Saleta and Incardona, Francesca and Struck, Daniel and S{\"o}nnerborg, Anders and Kaiser, Rolf and Zazzi, Maurizio and Tschochner, Monika and Walter, Hauke and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://dx.doi.org/10.1371/journal.pone.0009044}, DOI = {10.1371/journal.pone.0009044}, LOCALID = {Local-ID: C125673F004B2D7B-E4B245D8EE478E3BC12577AE004B419E-Weisser2010a}, PUBLISHER = {PLoS ONE}, ADDRESS = {San Francisco, CA}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Plosone}, VOLUME = {5}, NUMBER = {2}, PAGES = {e9044,1--e9044,10}, EID = {e9044}, }
Endnote
%0 Journal Article %A Weisser, Hendrik %A Altmann, Andr&#233; %A Sierra, Saleta %A Incardona, Francesca %A Struck, Daniel %A S&#246;nnerborg, Anders %A Kaiser, Rolf %A Zazzi, Maurizio %A Tschochner, Monika %A Walter, Hauke %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Only Slight Impact of Predicted Replicative Capacity for Therapy Response Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1594-8 %F EDOC: 536630 %R 10.1371/journal.pone.0009044 %U http://dx.doi.org/10.1371/journal.pone.0009044 %F OTHER: Local-ID: C125673F004B2D7B-E4B245D8EE478E3BC12577AE004B419E-Weisser2010a %7 2010 %D 2010 %J Plosone %V 5 %N 2 %& e9044,1 %P e9044,1 - e9044,10 %Z sequence number: e9044 %I PLoS ONE %C San Francisco, CA %@ false
582. Welker M-W, Welsch C, Meyer A, Antes I, Albrecht M, Forestier N, Kronenberger B, Lengauer T, Piiper A, Zeuzem S, Sarrazin C: Dimerization of the Hepatitis C Virus Nonstructural Protein 4B Depends on the Integrity of an Aminoterminal Basic Leucine Zipper. Protein Science 2010, 19.
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@article{Albrecht2010e, TITLE = {Dimerization of the Hepatitis {C} Virus Nonstructural Protein {4B} Depends on the Integrity of an Aminoterminal Basic Leucine Zipper}, AUTHOR = {Welker, Martin-Walter and Welsch, Christoph and Meyer, Aline and Antes, Iris and Albrecht, Mario and Forestier, Nicole and Kronenberger, Bernd and Lengauer, Thomas and Piiper, Albrecht and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {1469-896x}, URL = {http://dx.doi.org/doi:10.1002/pro.409}, DOI = {doi:10.1002/pro.409}, LOCALID = {Local-ID: C125673F004B2D7B-89DF0070658FEC7AC1257753004D5D13-Albrecht2010e}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Protein Science}, VOLUME = {19}, NUMBER = {7}, PAGES = {1327--1336}, }
Endnote
%0 Journal Article %A Welker, Martin-Walter %A Welsch, Christoph %A Meyer, Aline %A Antes, Iris %A Albrecht, Mario %A Forestier, Nicole %A Kronenberger, Bernd %A Lengauer, Thomas %A Piiper, Albrecht %A Zeuzem, Stefan %A Sarrazin, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Dimerization of the Hepatitis C Virus Nonstructural Protein 4B Depends on the Integrity of an Aminoterminal Basic Leucine Zipper : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1570-7 %F EDOC: 536623 %R doi:10.1002/pro.409 %U http://dx.doi.org/doi:10.1002/pro.409 %F OTHER: Local-ID: C125673F004B2D7B-89DF0070658FEC7AC1257753004D5D13-Albrecht2010e %7 2010 %D 2010 %* Review method: peer-reviewed %J Protein Science %V 19 %N 7 %& 1327 %P 1327 - 1336 %I Wiley %C Chichester %@ false
583. Wittkop T, Rahmann S, Baumbach J: Efficient Online Transcription Factor Binding Site Adjustment by Integrating Transitive Graph Projection with MoRAine 2.0. In Special Issue: 6th International Symposium on Integrative Bioinformatics. IMBio; 2010. [Journal of Integrative Bioinformatics]
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@inproceedings{Baumbach2010_jib, TITLE = {Efficient Online Transcription Factor Binding Site Adjustment by Integrating Transitive Graph Projection with {MoRAine} 2.0}, AUTHOR = {Wittkop, Tobias and Rahmann, Sven and Baumbach, Jan}, LANGUAGE = {eng}, URL = {http://journal.imbio.de/articles/pdf/jib-117.pdf}, DOI = {10.2390/biecoll-jib-2010-117}, LOCALID = {Local-ID: C125673F004B2D7B-69446467FA6DA0FBC12577EE0055FAE6-Baumbach2010_jib}, PUBLISHER = {IMBio}, YEAR = {2010}, DATE = {2010}, BOOKTITLE = {Special Issue: 6th International Symposium on Integrative Bioinformatics}, PAGES = {117,1--117,11}, SERIES = {Journal of Integrative Bioinformatics}, ADDRESS = {Cambridge, UK}, }
Endnote
%0 Conference Proceedings %A Wittkop, Tobias %A Rahmann, Sven %A Baumbach, Jan %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient Online Transcription Factor Binding Site Adjustment by Integrating Transitive Graph Projection with MoRAine 2.0 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1576-C %F EDOC: 536634 %R 10.2390/biecoll-jib-2010-117 %U http://journal.imbio.de/articles/pdf/jib-117.pdf %F OTHER: Local-ID: C125673F004B2D7B-69446467FA6DA0FBC12577EE0055FAE6-Baumbach2010_jib %D 2010 %B 6th International Symposium on Integrative Bioinformatics %Z date of event: 2010-03-22 - 2010-03-24 %C Cambridge, UK %B Special Issue: 6th International Symposium on Integrative Bioinformatics %P 117,1 - 117,11 %I IMBio %B Journal of Integrative Bioinformatics
584. Wittkop T, Emig D, Lange S, Rahmann S, Albrecht M, Morris JH, Böcker S, Stoye J, Baumbach J: Partitioning Biological Data with Transitivity Clustering. Nature Methods 2010, 7.
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@article{Wittkop2010, TITLE = {Partitioning Biological Data with Transitivity Clustering}, AUTHOR = {Wittkop, Tobias and Emig, Dorothea and Lange, Sita and Rahmann, Sven and Albrecht, Mario and Morris, John H. and B{\"o}cker, Sebastian and Stoye, Jens and Baumbach, Jan}, LANGUAGE = {eng}, ISSN = {1548-7091}, URL = {http://dx.doi.org/10.1038/nmeth0610-419}, DOI = {10.1038/nmeth0610-419}, LOCALID = {Local-ID: C125673F004B2D7B-FC4922CF38BD83EFC1257753004A9685-Wittkop2010}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London}, YEAR = {2010}, DATE = {2010}, JOURNAL = {Nature Methods}, VOLUME = {7}, NUMBER = {6}, PAGES = {419--420}, }
Endnote
%0 Journal Article %A Wittkop, Tobias %A Emig, Dorothea %A Lange, Sita %A Rahmann, Sven %A Albrecht, Mario %A Morris, John H. %A B&#246;cker, Sebastian %A Stoye, Jens %A Baumbach, Jan %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Partitioning Biological Data with Transitivity Clustering : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-159B-9 %F EDOC: 536622 %R 10.1038/nmeth0610-419 %U http://dx.doi.org/10.1038/nmeth0610-419 %F OTHER: Local-ID: C125673F004B2D7B-FC4922CF38BD83EFC1257753004A9685-Wittkop2010 %7 2010 %D 2010 %* Review method: peer-reviewed %J Nature Methods %V 7 %N 6 %& 419 %P 419 - 420 %I Nature Publishing Group %C London %@ false
585. Wohlers I, Domingues FS, Klau GW: Towards Optimal Alignment of Protein Structure Distance Matrices. Bioinformatics 2010, 26.
Abstract
MOTIVATION: Structural alignments of proteins are important for identification of structural similarities, homology detection and functional annotation. The structural alignment problem is well studied and computationally difficult. Many different scoring schemes for structural similarity as well as many algorithms for finding high-scoring alignments have been proposed. Algorithms using contact map overlap (CMO) as scoring function are currently the only practical algorithms able to compute provably optimal alignments. RESULTS: We propose a new mathematical model for the alignment of inter-residue distance matrices, building upon previous work on maximum CMO. Our model includes all elements needed to emulate various scoring schemes for the alignment of protein distance matrices. The algorithm that we use to compute alignments is practical only for sparse distance matrices. Therefore, we propose a more effective scoring function, which uses a distance threshold and only positive structural scores. We show that even under these restrictions our approach is in terms of alignment accuracy competitive with state-of-the-art structural alignment algorithms, whereas it additionally either proves the optimality of an alignment or returns bounds on the optimal score. Our novel method is freely available and constitutes an important promising step towards truly provably optimal structural alignments of proteins. AVAILABILITY: An executable of our program PAUL is available at http://planet-lisa.net/.
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@article{Wohlers2010, TITLE = {Towards Optimal Alignment of Protein Structure Distance Matrices}, AUTHOR = {Wohlers, Inken and Domingues, Francisco S. and Klau, Gunnar W.}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btq420}, DOI = {10.1093/bioinformatics/btq420}, LOCALID = {Local-ID: C125673F004B2D7B-73BDC324043F9E79C12577E7003F663C-Wohlers2010}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2010}, DATE = {2010}, ABSTRACT = {MOTIVATION: Structural alignments of proteins are important for identification of structural similarities, homology detection and functional annotation. The structural alignment problem is well studied and computationally difficult. Many different scoring schemes for structural similarity as well as many algorithms for finding high-scoring alignments have been proposed. Algorithms using contact map overlap (CMO) as scoring function are currently the only practical algorithms able to compute provably optimal alignments. RESULTS: We propose a new mathematical model for the alignment of inter-residue distance matrices, building upon previous work on maximum CMO. Our model includes all elements needed to emulate various scoring schemes for the alignment of protein distance matrices. The algorithm that we use to compute alignments is practical only for sparse distance matrices. Therefore, we propose a more effective scoring function, which uses a distance threshold and only positive structural scores. We show that even under these restrictions our approach is in terms of alignment accuracy competitive with state-of-the-art structural alignment algorithms, whereas it additionally either proves the optimality of an alignment or returns bounds on the optimal score. Our novel method is freely available and constitutes an important promising step towards truly provably optimal structural alignments of proteins. AVAILABILITY: An executable of our program PAUL is available at http://planet-lisa.net/.}, JOURNAL = {Bioinformatics}, VOLUME = {26}, NUMBER = {18}, PAGES = {2273--2280}, }
Endnote
%0 Journal Article %A Wohlers, Inken %A Domingues, Francisco S. %A Klau, Gunnar W. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Towards Optimal Alignment of Protein Structure Distance Matrices : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-15AE-0 %F EDOC: 536632 %R 10.1093/bioinformatics/btq420 %U http://dx.doi.org/10.1093/bioinformatics/btq420 %F OTHER: Local-ID: C125673F004B2D7B-73BDC324043F9E79C12577E7003F663C-Wohlers2010 %7 2010 %D 2010 %* Review method: peer-reviewed %X MOTIVATION: Structural alignments of proteins are important for identification of structural similarities, homology detection and functional annotation. The structural alignment problem is well studied and computationally difficult. Many different scoring schemes for structural similarity as well as many algorithms for finding high-scoring alignments have been proposed. Algorithms using contact map overlap (CMO) as scoring function are currently the only practical algorithms able to compute provably optimal alignments. RESULTS: We propose a new mathematical model for the alignment of inter-residue distance matrices, building upon previous work on maximum CMO. Our model includes all elements needed to emulate various scoring schemes for the alignment of protein distance matrices. The algorithm that we use to compute alignments is practical only for sparse distance matrices. Therefore, we propose a more effective scoring function, which uses a distance threshold and only positive structural scores. We show that even under these restrictions our approach is in terms of alignment accuracy competitive with state-of-the-art structural alignment algorithms, whereas it additionally either proves the optimality of an alignment or returns bounds on the optimal score. Our novel method is freely available and constitutes an important promising step towards truly provably optimal structural alignments of proteins. AVAILABILITY: An executable of our program PAUL is available at http://planet-lisa.net/. %J Bioinformatics %V 26 %N 18 %& 2273 %P 2273 - 2280 %I Oxford University Press %C Oxford, UK %@ false
586. Zhu H: Characterization, Classification and Alignment of Protein-protein Interfaces. Universität des Saarlandes; 2010.
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@phdthesis{Zhu2010a, TITLE = {Characterization, Classification and Alignment of Protein-protein Interfaces}, AUTHOR = {Zhu, Hongbo}, LANGUAGE = {eng}, URL = {http://scidok.sulb.uni-saarland.de/volltexte/2010/3278/; hdl:20.500.11880/26056}, DOI = {10.22028/D291-26000}, LOCALID = {Local-ID: C125673F004B2D7B-F18C31CDC42018BBC1257834004000B5-Zhu2010a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2010}, DATE = {2010}, }
Endnote
%0 Thesis %A Zhu, Hongbo %Y Lengauer, Thomas %A referee: Lackner, Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Characterization, Classification and Alignment of Protein-protein Interfaces : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1461-F %F EDOC: 536665 %U http://scidok.sulb.uni-saarland.de/volltexte/2010/3278/ %F OTHER: Local-ID: C125673F004B2D7B-F18C31CDC42018BBC1257834004000B5-Zhu2010a %R 10.22028/D291-26000 %U hdl:20.500.11880/26056 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2010 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2010/3278/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
2009
587. Adams B, McHardy A, Lundegaard C, Lengauer T: Viral Bioinformatics. In Modern Genome Annotation. New York, NY: Springer; 2009.
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@incollection{Adams2008z, TITLE = {Viral Bioinformatics}, AUTHOR = {Adams, Ben and McHardy, Alice and Lundegaard, C. and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {978-3-211-75122-0}, DOI = {10.1007/978-3-211-75123-7_19}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2009}, DATE = {2009}, BOOKTITLE = {Modern Genome Annotation}, EDITOR = {Frishman, Dmitrij and Valencia, Alfonso}, PAGES = {429--452}, }
Endnote
%0 Book Section %A Adams, Ben %A McHardy, Alice %A Lundegaard, C. %A Lengauer, Thomas %+ Computational Genomics and Epidemiology, MPI for Informatics, Max Planck Society Computational Genomics and Epidemiology, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Viral Bioinformatics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-19FB-2 %F EDOC: 520513 %R 10.1007/978-3-211-75123-7_19 %D 2009 %B Modern Genome Annotation %E Frishman, Dmitrij; Valencia, Alfonso %P 429 - 452 %I Springer %C New York, NY %@ 978-3-211-75122-0
588. Alcaro S, Artese A, Ceccherini-Silberstein F, Ortuso F, Perno CF, Sing T, Svicher V: Molecular Dynamics and Free Energy Studies on the Wild-Type and Mutated HIV-1 Protease Complexed with Four Approved Drugs: Mechanism of Binding and Drug Resistance. Journal of Chemical Information and Modeling 2009, 49.
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@article{Becker2009, TITLE = {Molecular Dynamics and Free Energy Studies on the Wild-Type and Mutated {HIV}-1 Protease Complexed with Four Approved Drugs: Mechanism of Binding and Drug Resistance}, AUTHOR = {Alcaro, Stefano and Artese, Anna and Ceccherini-Silberstein, Francesca and Ortuso, Francesca and Perno, Carlo Federico and Sing, Tobias and Svicher, Valentina}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci900012k}, PUBLISHER = {ACS}, ADDRESS = {Washington, DC}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {49}, NUMBER = {7}, PAGES = {1751--1761}, }
Endnote
%0 Journal Article %A Alcaro, Stefano %A Artese, Anna %A Ceccherini-Silberstein, Francesca %A Ortuso, Francesca %A Perno, Carlo Federico %A Sing, Tobias %A Svicher, Valentina %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Molecular Dynamics and Free Energy Studies on the Wild-Type and Mutated HIV-1 Protease Complexed with Four Approved Drugs: Mechanism of Binding and Drug Resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA16-3 %R 10.1021/ci900012k %7 2009-01-13 %D 2009 %J Journal of Chemical Information and Modeling %V 49 %N 7 %& 1751 %P 1751 - 1761 %I ACS %C Washington, DC %@ false
589. Altmann A, Sing T, Vermeiren H, Winters B, Van Craenenbroeck E, Van der Borght K, Rhee S-Y, Shafer RW, Schülter E, Kaiser R, Peres Y, Sönnerborg A, Fessel WJ, Incardona F, Zazzi M, Bacheler L, Van Vlijmen H, Lengauer T: Advantages of Predicted Phenotypes and Statistical Learning Models in Inferring Virological Response to Antiretroviral Therapy from HIV Genotype. Antiviral Therapy 2009, 14.
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@article{Altmann2009AVT, TITLE = {Advantages of Predicted Phenotypes and Statistical Learning Models in Inferring Virological Response to Antiretroviral Therapy from {HIV} Genotype}, AUTHOR = {Altmann, Andre and Sing, Tobias and Vermeiren, Hans and Winters, Bart and Van Craenenbroeck, Elke and Van der Borght, Koen and Rhee, Soo-Yon and Shafer, Robert W. and Sch{\"u}lter, Eugen and Kaiser, Rolf and Peres, Yardena and S{\"o}nnerborg, Anders and Fessel, W. Jeffrey and Incardona, Francesca and Zazzi, Maurizio and Bacheler, Lee and Van Vlijmen, Hermann and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1359-6535}, LOCALID = {Local-ID: C125673F004B2D7B-EC7EFA9EA38CD0D8C125756000644DA1-Altmann2009AVT}, PUBLISHER = {International Medical Press}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Antiviral Therapy}, VOLUME = {14}, NUMBER = {2}, PAGES = {273--283}, }
Endnote
%0 Journal Article %A Altmann, Andre %A Sing, Tobias %A Vermeiren, Hans %A Winters, Bart %A Van Craenenbroeck, Elke %A Van der Borght, Koen %A Rhee, Soo-Yon %A Shafer, Robert W. %A Sch&#252;lter, Eugen %A Kaiser, Rolf %A Peres, Yardena %A S&#246;nnerborg, Anders %A Fessel, W. Jeffrey %A Incardona, Francesca %A Zazzi, Maurizio %A Bacheler, Lee %A Van Vlijmen, Hermann %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Advantages of Predicted Phenotypes and Statistical Learning Models in Inferring Virological Response to Antiretroviral Therapy from HIV Genotype : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A07-D %F EDOC: 520923 %F OTHER: Local-ID: C125673F004B2D7B-EC7EFA9EA38CD0D8C125756000644DA1-Altmann2009AVT %7 2009 %D 2009 %* Review method: peer-reviewed %J Antiviral Therapy %V 14 %N 2 %& 273 %P 273 - 283 %I International Medical Press %@ false
590. Altmann A, Däumer M, Beerenwinkel N, Peres Y, Schülter E, Büch J, Rhee S-Y, Sönnerborg A, Fessel WJ, Shafer RW, Zazzi M, Kaiser R, Lengauer T: Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno-THEO on a Large Clinical Database. The Journal of Infectious Diseases 2009, 199.
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@article{Altmann2009JID, TITLE = {Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno-{THEO} on a Large Clinical Database}, AUTHOR = {Altmann, Andre and D{\"a}umer, Martin and Beerenwinkel, Niko and Peres, Yardena and Sch{\"u}lter, Eugen and B{\"u}ch, Joachim and Rhee, Soo-Yon and S{\"o}nnerborg, Anders and Fessel, W. Jeffrey and Shafer, Robert W and Zazzi, Maurizio and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0022-1899}, DOI = {10.1086/597305}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, UK}, YEAR = {2009}, DATE = {2009}, JOURNAL = {The Journal of Infectious Diseases}, VOLUME = {199}, NUMBER = {7}, PAGES = {999--1006}, }
Endnote
%0 Journal Article %A Altmann, Andre %A D&#228;umer, Martin %A Beerenwinkel, Niko %A Peres, Yardena %A Sch&#252;lter, Eugen %A B&#252;ch, Joachim %A Rhee, Soo-Yon %A S&#246;nnerborg, Anders %A Fessel, W. Jeffrey %A Shafer, Robert W %A Zazzi, Maurizio %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno-THEO on a Large Clinical Database : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A33-7 %F EDOC: 520922 %R 10.1086/597305 %7 2009 %D 2009 %* Review method: peer-reviewed %J The Journal of Infectious Diseases %V 199 %N 7 %& 999 %P 999 - 1006 %I Oxford University Press %C Oxford, UK %@ false
591. Antes I: Computational Methods for the Investigation of Protein-Ligand Interactions. Universität des Saarlandes; 2009.
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@phdthesis{antes2009, TITLE = {Computational Methods for the Investigation of Protein-Ligand Interactions}, AUTHOR = {Antes, Iris}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-77F6E74B2985B282C12575750032CCF1-antes2009}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, TYPE = {Habilitation thesis}, }
Endnote
%0 Thesis %A Antes, Iris %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Methods for the Investigation of Protein-Ligand Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17D5-4 %F EDOC: 520919 %F OTHER: Local-ID: C125673F004B2D7B-77F6E74B2985B282C12575750032CCF1-antes2009 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V habilitation %9 habilitation
592. Blankenburg H, Ramírez F, Büch J, Albrecht M: DASMIweb: Online Integration, Analysis and Assessment of Distributed Protein Interaction Data. Nucleic Acids Research 2009, 37(Web Server issue).
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@article{Albrecht2009b, TITLE = {{DASMIweb}: Online Integration, Analysis and Assessment of Distributed Protein Interaction Data}, AUTHOR = {Blankenburg, Hagen and Ram{\'i}rez, Fidel and B{\"u}ch, Joachim and Albrecht, Mario}, LANGUAGE = {eng}, DOI = {10.1093/nar/gkp438}, LOCALID = {Local-ID: C125673F004B2D7B-548AC988A29CD251C12575EC0053A799-Albrecht2009b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Nucleic Acids Research}, VOLUME = {37}, NUMBER = {Web Server issue}, PAGES = {W122--W128}, }
Endnote
%0 Journal Article %A Blankenburg, Hagen %A Ram&#237;rez, Fidel %A B&#252;ch, Joachim %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T DASMIweb: Online Integration, Analysis and Assessment of Distributed Protein Interaction Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A15-D %F EDOC: 520906 %F OTHER: Local-ID: C125673F004B2D7B-548AC988A29CD251C12575EC0053A799-Albrecht2009b %2 PMC2703953 %R 10.1093/nar/gkp438 %7 2009 %D 2009 %* Review method: peer-reviewed %J Nucleic Acids Research %V 37 %N Web Server issue %& W122 %P W122 - W128 %I Oxford University Press %C Oxford %U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703953/
593. Blankenburg H, Finn RD, Prlić A, Jenkinson AM, Ramírez F, Emig D, Schelhorn S-E, Büch J, Lengauer T, Albrecht M: DASMI: Exchanging, Annotating and Assessing Molecular Interaction Data. Bioinformatics 2009, 25.
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@article{Albrecht2009a, TITLE = {{DASMI}: Exchanging, Annotating and Assessing Molecular Interaction Data}, AUTHOR = {Blankenburg, Hagen and Finn, Robert D. and Prli{\'c}, Andreas and Jenkinson, Andrew M. and Ram{\'i}rez, Fidel and Emig, Dorothea and Schelhorn, Sven-Eric and B{\"u}ch, Joachim and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btp142}, LOCALID = {Local-ID: C125673F004B2D7B-B8DDEA6F0FE26990C12575EC0052FA94-Albrecht2009a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Bioinformatics}, VOLUME = {25}, NUMBER = {10}, PAGES = {1321--1328}, }
Endnote
%0 Journal Article %A Blankenburg, Hagen %A Finn, Robert D. %A Prli&#263;, Andreas %A Jenkinson, Andrew M. %A Ram&#237;rez, Fidel %A Emig, Dorothea %A Schelhorn, Sven-Eric %A B&#252;ch, Joachim %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T DASMI: Exchanging, Annotating and Assessing Molecular Interaction Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A13-2 %F EDOC: 520905 %R 10.1093/bioinformatics/btp142 %F OTHER: Local-ID: C125673F004B2D7B-B8DDEA6F0FE26990C12575EC0052FA94-Albrecht2009a %7 2009 %D 2009 %* Review method: peer-reviewed %J Bioinformatics %V 25 %N 10 %& 1321 %P 1321 - 1328 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btp142
594. Bock C, Halachev K, Büch J, Lengauer T: EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data. Genome Biology 2009, 10.
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@article{Bock2009a, TITLE = {{EpiGRAPH}: user-friendly software for statistical analysis and prediction of (epi)genomic data}, AUTHOR = {Bock, Christoph and Halachev, Konstantin and B{\"u}ch, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {14656906}, URL = {http://genomebiology.com/2009/10/2/R14}, DOI = {10.1186/gb-2009-10-2-r14}, LOCALID = {Local-ID: C125673F004B2D7B-02635734C5DA789AC1257574006AC7FF-Bock2009a}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2009}, JOURNAL = {Genome Biology}, VOLUME = {10}, EID = {R14}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Halachev, Konstantin %A B&#252;ch, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A25-9 %F EDOC: 520894 %R 10.1186/gb-2009-10-2-r14 %U http://genomebiology.com/2009/10/2/R14 %F OTHER: Local-ID: C125673F004B2D7B-02635734C5DA789AC1257574006AC7FF-Bock2009a %7 2009 %D 2009 %* Review method: peer-reviewed %J Genome Biology %V 10 %Z sequence number: R14 %I BioMed Central %C London %@ 14656906
595. Bock C: Epigenetic Biomarker Development. Epigenomics 2009, 1.
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@article{Bock2009, TITLE = {Epigenetic Biomarker Development}, AUTHOR = {Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1750-1911}, DOI = {10.2217/epi.09.6}, LOCALID = {Local-ID: C125673F004B2D7B-F24963B3C52A6770C12576B70007A61A-Bock2009}, PUBLISHER = {Future Medicine}, ADDRESS = {London}, YEAR = {2009}, JOURNAL = {Epigenomics}, VOLUME = {1}, NUMBER = {1}, PAGES = {99--110}, }
Endnote
%0 Journal Article %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Epigenetic Biomarker Development : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A22-F %F EDOC: 520899 %F OTHER: Local-ID: C125673F004B2D7B-F24963B3C52A6770C12576B70007A61A-Bock2009 %R 10.2217/epi.09.6 %7 2009 %D 2009 %* Review method: peer-reviewed %J Epigenomics %V 1 %N 1 %& 99 %P 99 - 110 %I Future Medicine %C London %@ false
596. Bozek K, Relógio A, Kielbasa SM, Heine M, Dame C, Kramer A, Herzel H: Regulation of Clock-controlled Genes in Mammals. PLoS One 2009, 4.
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@article{Bozek2009, TITLE = {Regulation of Clock-controlled Genes in Mammals}, AUTHOR = {Bozek, Kasia and Rel{\'o}gio, Angela and Kielbasa, Szymon M. and Heine, Markus and Dame, Christof and Kramer, Achim and Herzel, Hanspeter}, LANGUAGE = {eng}, ISSN = {1932-6203}, DOI = {10.1371/journal.pone.0004882}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2009}, JOURNAL = {PLoS One}, VOLUME = {4}, NUMBER = {3}, PAGES = {e4882:1--e4882:12}, }
Endnote
%0 Journal Article %A Bozek, Kasia %A Rel&#243;gio, Angela %A Kielbasa, Szymon M. %A Heine, Markus %A Dame, Christof %A Kramer, Achim %A Herzel, Hanspeter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Regulation of Clock-controlled Genes in Mammals : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA77-9 %R 10.1371/journal.pone.0004882 %7 2009 %D 2009 %J PLoS One %V 4 %N 3 %& e4882:1 %P e4882:1 - e4882:12 %I Public Library of Science %C San Francisco, CA %@ false
597. Bozek K, Thielen A, Sierra S, Kaiser R, Lengauer T: V3 Loop Sequence Space Analysis Suggests Different Evolutionary Patterns of CCR5- and CXCR4-tropic HIV. PLoS ONE 2009, 4.
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@article{Bozek2009a, TITLE = {{V3} loop sequence space analysis suggests different evolutionary patterns of {CCR5}- and {CXCR4}-tropic {HIV}}, AUTHOR = {Bozek, Katarzyna and Thielen, Alexander and Sierra, Saleta and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {19326203}, DOI = {10.1371/journal.pone.0007387}, LOCALID = {Local-ID: C125673F004B2D7B-3E78745307774F07C12576AF003D495C-Bozek2009}, PUBLISHER = {PLoS}, ADDRESS = {Sann Francisco, CA}, YEAR = {2009}, JOURNAL = {PLoS ONE}, VOLUME = {4}, NUMBER = {11}, EID = {e7387}, }
Endnote
%0 Journal Article %A Bozek, Katarzyna %A Thielen, Alexander %A Sierra, Saleta %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T V3 Loop Sequence Space Analysis Suggests Different Evolutionary Patterns of CCR5- and CXCR4-tropic HIV : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A3B-8 %F EDOC: 520902 %R 10.1371/journal.pone.0007387 %F OTHER: Local-ID: C125673F004B2D7B-3E78745307774F07C12576AF003D495C-Bozek2009 %7 2009 %D 2009 %J PLoS ONE %V 4 %N 11 %Z sequence number: e7387 %I PLoS %C Sann Francisco, CA %@ 19326203 %U http://dx.doi.org/10.1371/journal.pone.0007387
598. Diehl S: Analysis and Reconstruction of Protein Complex Topology. Universität des Saarlandes; 2009.
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@mastersthesis{Diehl2009a, TITLE = {Analysis and Reconstruction of Protein Complex Topology}, AUTHOR = {Diehl, Sarah}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, }
Endnote
%0 Thesis %A Diehl, Sarah %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis and Reconstruction of Protein Complex Topology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F3EA-1 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V master %9 master
599. Doncheva NT: Analysis and Visualization of Residue Interaction Networks. Universität des Saarlandes; 2009.
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@mastersthesis{Doncheva2009a, TITLE = {Analysis and Visualization of Residue Interaction Networks}, AUTHOR = {Doncheva, Nadezhda Tsankova}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, }
Endnote
%0 Thesis %A Doncheva, Nadezhda Tsankova %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis and Visualization of Residue Interaction Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F458-3 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V master %9 master
600. Ebert P: Computational Analysis of Genomic HPV Data. Universität des Saarlandes; 2009.
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@mastersthesis{Ebert2009a, TITLE = {Computational Analysis of Genomic {HPV} Data}, AUTHOR = {Ebert, Peter}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Ebert, Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Analysis of Genomic HPV Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F9CA-6 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V bachelor %9 bachelor
601. Feuerbach L, Halachev K, Lengauer T, Bock C: An Exhaustive Methode for CpG Island Annotation. Cellular Oncology 2009.
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@inproceedings{Feuerbach2009_Poster1, TITLE = {An Exhaustive Methode for {CpG} Island Annotation}, AUTHOR = {Feuerbach, Lars and Halachev, Konstantin and Lengauer, Thomas and Bock, Christoph}, LANGUAGE = {eng}, ISSN = {1570-5870}, LOCALID = {Local-ID: C125673F004B2D7B-1ED2DF87EA78FD77C12576B9003EE67E-Feuerbach2009_Poster1}, PUBLISHER = {IOS Press}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Cellular Oncology}, VOLUME = {31}, ISSUE = {2}, PAGES = {146--146}, EID = {P77}, ADDRESS = {Edinburgh, UK}, }
Endnote
%0 Generic %A Feuerbach, Lars %A Halachev, Konstantin %A Lengauer, Thomas %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An Exhaustive Methode for CpG Island Annotation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1494-0 %F EDOC: 520896 %F OTHER: Local-ID: C125673F004B2D7B-1ED2DF87EA78FD77C12576B9003EE67E-Feuerbach2009_Poster1 %D 2009 %Z name of event: 3rd MC-GARD Meeting %Z date of event: 2009-04-01 - 2009-04-05 %Z place of event: Edinburgh, UK %J Cellular Oncology %V 31 %N 2 %P 146 - 146 %Z sequence number: P77 %@ false
602. Gwinner F: Assessing the Conservation of Protein Function on Evolutionary Defined Patches. Universität des Saarlandes; 2009.
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@mastersthesis{Gwinner2009, TITLE = {Assessing the Conservation of Protein Function on Evolutionary Defined Patches}, AUTHOR = {Gwinner, Frederik}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-49CA2B7BE46D4B7EC12575750056D330-Gwinner2009}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, }
Endnote
%0 Thesis %A Gwinner, Frederik %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Assessing the Conservation of Protein Function on Evolutionary Defined Patches : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A09-9 %F EDOC: 520913 %F OTHER: Local-ID: C125673F004B2D7B-49CA2B7BE46D4B7EC12575750056D330-Gwinner2009 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V master %9 master
603. Harrigan PR, McGovern R, Dong W, Thielen A, Jensen M, Mo T, Chapman D, Lewis M, James I, Valdez H: Screening for HIV Tropism Using Population-based V3 Genotypic Analysis: A Retrospective Outcome Analysis Using Stored Plasma Screening Samples from MOTIVATE-1. Antiviral Therapy 2009(Suppl. 1).
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@inproceedings{Harrigan2009IDRW, TITLE = {Screening for HIV Tropism Using Population-based {V3} Genotypic Analysis: A Retrospective Outcome Analysis Using Stored Plasma Screening Samples from {MOTIVATE-1}}, AUTHOR = {Harrigan, P Richard and McGovern, Rachel and Dong, Winnie and Thielen, Alexander and Jensen, Mark and Mo, Theresa and Chapman, Douglas and Lewis, Marilyn and James, Ian and Valdez, Hernan}, LANGUAGE = {eng}, ISSN = {1359-6535}, LOCALID = {Local-ID: C125673F004B2D7B-64A182559A713DFEC12575D60045DC7B-Harrigan2009IDRW}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Antiviral Therapy}, VOLUME = {14}, ISSUE = {Suppl. 1}, PAGES = {A17--A15}, EID = {Abstract 15}, JOURNAL = {Abstracts presented at the XVIII International HIV Drug Resistance Workshop}, ADDRESS = {Fort Myers, FL, USA}, }
Endnote
%0 Generic %A Harrigan, P Richard %A McGovern, Rachel %A Dong, Winnie %A Thielen, Alexander %A Jensen, Mark %A Mo, Theresa %A Chapman, Douglas %A Lewis, Marilyn %A James, Ian %A Valdez, Hernan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Screening for HIV Tropism Using Population-based V3 Genotypic Analysis: A Retrospective Outcome Analysis Using Stored Plasma Screening Samples from MOTIVATE-1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17C5-8 %F EDOC: 520911 %F OTHER: Local-ID: C125673F004B2D7B-64A182559A713DFEC12575D60045DC7B-Harrigan2009IDRW %D 2009 %Z name of event: XVIII International HIV Drug Resistance Workshop %Z date of event: 2009-06-09 - 2009-06-13 %Z place of event: Fort Myers, FL, USA %J Antiviral Therapy %V 14 %N Suppl. 1 %P A17 - A15 %Z sequence number: Abstract 15 %@ false %B Abstracts presented at the XVIII International HIV Drug Resistance Workshop
604. Hartmann C, Antes I, Lengauer T: Docking and Scoring with Alternative Side-chain Conformations. Proteins: Structure, Function, and Bioinformatics 2009, 74.
Abstract
We describe a scoring and modeling procedure for docking ligands into protein models that have either modeled or flexible side-chain conformations. Our methodical contribution comprises a procedure for generating new potentials of mean force for the ROTA scoring function which we have introduced previously for optimizing side-chain conformations with the tool IRECS. The ROTA potentials are specially trained to tolerate small-scale positional errors of atoms that are characteristic of (i) side-chain conformations that are modeled using a sparse rotamer library and (ii) ligand conformations that are generated using a docking program. We generated both rigid and flexible protein models with our side-chain prediction tool IRECS and docked ligands to proteins using the scoring function ROTA and the docking programs FlexX (for rigid side chains) and FlexE (for flexible side chains). We validated our approach on the forty screening targets of the DUD database. The validation shows that the ROTA potentials are especially well suited for estimating the binding affinity of ligands to proteins. The results also show that our procedure can compensate for the performance decrease in screening that occurs when using protein models with side chains modeled with a rotamer library instead of using X-ray structures. The average runtime per ligand of our method is 168 seconds on an Opteron V20z, which is fast enough to allow virtual screening of compound libraries for drug candidates.
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@article{Hartmann2009, TITLE = {Docking and Scoring with Alternative Side-chain Conformations}, AUTHOR = {Hartmann, Christoph and Antes, Iris and Lengauer, Thomas}, LANGUAGE = {eng}, DOI = {10.1002/prot.22189}, LOCALID = {Local-ID: C125673F004B2D7B-BA30A24E54752F22C1257574005E599E-Hartmann2009}, PUBLISHER = {Wiley}, ADDRESS = {Chichester}, YEAR = {2009}, DATE = {2009}, ABSTRACT = {We describe a scoring and modeling procedure for docking ligands into protein models that have either modeled or flexible side-chain conformations. Our methodical contribution comprises a procedure for generating new potentials of mean force for the ROTA scoring function which we have introduced previously for optimizing side-chain conformations with the tool IRECS. The ROTA potentials are specially trained to tolerate small-scale positional errors of atoms that are characteristic of (i) side-chain conformations that are modeled using a sparse rotamer library and (ii) ligand conformations that are generated using a docking program. We generated both rigid and flexible protein models with our side-chain prediction tool IRECS and docked ligands to proteins using the scoring function ROTA and the docking programs FlexX (for rigid side chains) and FlexE (for flexible side chains). We validated our approach on the forty screening targets of the DUD database. The validation shows that the ROTA potentials are especially well suited for estimating the binding affinity of ligands to proteins. The results also show that our procedure can compensate for the performance decrease in screening that occurs when using protein models with side chains modeled with a rotamer library instead of using X-ray structures. The average runtime per ligand of our method is 168 seconds on an Opteron V20z, which is fast enough to allow virtual screening of compound libraries for drug candidates.}, JOURNAL = {Proteins: Structure, Function, and Bioinformatics}, VOLUME = {74}, NUMBER = {3}, PAGES = {712--726}, }
Endnote
%0 Journal Article %A Hartmann, Christoph %A Antes, Iris %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking and Scoring with Alternative Side-chain Conformations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A1D-E %F EDOC: 520893 %R 10.1002/prot.22189 %F OTHER: Local-ID: C125673F004B2D7B-BA30A24E54752F22C1257574005E599E-Hartmann2009 %7 2008-08-14 %D 2009 %* Review method: peer-reviewed %X We describe a scoring and modeling procedure for docking ligands into protein models that have either modeled or flexible side-chain conformations. Our methodical contribution comprises a procedure for generating new potentials of mean force for the ROTA scoring function which we have introduced previously for optimizing side-chain conformations with the tool IRECS. The ROTA potentials are specially trained to tolerate small-scale positional errors of atoms that are characteristic of (i) side-chain conformations that are modeled using a sparse rotamer library and (ii) ligand conformations that are generated using a docking program. We generated both rigid and flexible protein models with our side-chain prediction tool IRECS and docked ligands to proteins using the scoring function ROTA and the docking programs FlexX (for rigid side chains) and FlexE (for flexible side chains). We validated our approach on the forty screening targets of the DUD database. The validation shows that the ROTA potentials are especially well suited for estimating the binding affinity of ligands to proteins. The results also show that our procedure can compensate for the performance decrease in screening that occurs when using protein models with side chains modeled with a rotamer library instead of using X-ray structures. The average runtime per ligand of our method is 168 seconds on an Opteron V20z, which is fast enough to allow virtual screening of compound libraries for drug candidates. %J Proteins: Structure, Function, and Bioinformatics %V 74 %N 3 %& 712 %P 712 - 726 %I Wiley %C Chichester
605. Kono K, Bozek K, Domingues FS, Shioda T, Nakayama EE: Impact of a Single Amino Acid in the Variable Region 2 of the Old World Monkey TRIM5alpha SPRY (B30.2) Domain on Anti-human Immunodeficiency Virus Type 2 Activity. Virology 2009, 388.
Abstract
Variable region 1 (V1) of the SPRY domain of TRIM5alpha is a major determinant for species-specific virus restriction in primates. We previously reported that a chimeric TRIM5alpha containing baboon V1 in the background of cynomolgus monkey TRIM5alpha showed potent anti-human immunodeficiency virus type 2 (HIV-2) activity. Since baboons are reportedly sensitive to HIV-2 infection, there was a discrepancy between the ability of baboon TRIM5alpha V1 to restrict HIV-2 and baboon sensitivity to HIV-2. In the study presented here, we examined the roles of V2 and V3 of the baboon TRIM5alpha SPRY domain in its anti-HIV-2 activity. A chimeric TRIM5alpha containing the entire baboon SPRY domain showed weak anti-HIV-2 activity. This attenuation of activity was caused by a single serine-to-proline substitution in baboon TRIM5alpha V2. These findings indicate that the combination of V1 with other variable regions of SPRY is important in anti-HIV-2 activity of primate TRIM5alpha.
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@article{Kono2009, TITLE = {Impact of a single amino acid in the variable region 2 of the {Old World} monkey TRIM5alpha SPRY (B30.2) domain on anti-human immunodeficiency virus type 2 activity}, AUTHOR = {Kono, Ken and Bozek, Katarzyna and Domingues, Francisco S. and Shioda, Tatsuo and Nakayama, Emi E.}, LANGUAGE = {eng}, ISSN = {0042-6822}, DOI = {10.1016/j.virol.2009.03.004}, LOCALID = {Local-ID: C125673F004B2D7B-4DD2923739BBD81BC12576930044E44D-Kono2009}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2009}, DATE = {2009}, ABSTRACT = {Variable region 1 (V1) of the SPRY domain of TRIM5alpha is a major determinant for species-specific virus restriction in primates. We previously reported that a chimeric TRIM5alpha containing baboon V1 in the background of cynomolgus monkey TRIM5alpha showed potent anti-human immunodeficiency virus type 2 (HIV-2) activity. Since baboons are reportedly sensitive to HIV-2 infection, there was a discrepancy between the ability of baboon TRIM5alpha V1 to restrict HIV-2 and baboon sensitivity to HIV-2. In the study presented here, we examined the roles of V2 and V3 of the baboon TRIM5alpha SPRY domain in its anti-HIV-2 activity. A chimeric TRIM5alpha containing the entire baboon SPRY domain showed weak anti-HIV-2 activity. This attenuation of activity was caused by a single serine-to-proline substitution in baboon TRIM5alpha V2. These findings indicate that the combination of V1 with other variable regions of SPRY is important in anti-HIV-2 activity of primate TRIM5alpha.}, JOURNAL = {Virology}, VOLUME = {388}, NUMBER = {1}, PAGES = {160--168}, }
Endnote
%0 Journal Article %A Kono, Ken %A Bozek, Katarzyna %A Domingues, Francisco S. %A Shioda, Tatsuo %A Nakayama, Emi E. %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Impact of a Single Amino Acid in the Variable Region 2 of the Old World Monkey TRIM5alpha SPRY (B30.2) Domain on Anti-human Immunodeficiency Virus Type 2 Activity : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A2C-C %F EDOC: 520907 %R 10.1016/j.virol.2009.03.004 %F OTHER: Local-ID: C125673F004B2D7B-4DD2923739BBD81BC12576930044E44D-Kono2009 %7 2009 %D 2009 %* Review method: peer-reviewed %X Variable region 1 (V1) of the SPRY domain of TRIM5alpha is a major determinant for species-specific virus restriction in primates. We previously reported that a chimeric TRIM5alpha containing baboon V1 in the background of cynomolgus monkey TRIM5alpha showed potent anti-human immunodeficiency virus type 2 (HIV-2) activity. Since baboons are reportedly sensitive to HIV-2 infection, there was a discrepancy between the ability of baboon TRIM5alpha V1 to restrict HIV-2 and baboon sensitivity to HIV-2. In the study presented here, we examined the roles of V2 and V3 of the baboon TRIM5alpha SPRY domain in its anti-HIV-2 activity. A chimeric TRIM5alpha containing the entire baboon SPRY domain showed weak anti-HIV-2 activity. This attenuation of activity was caused by a single serine-to-proline substitution in baboon TRIM5alpha V2. These findings indicate that the combination of V1 with other variable regions of SPRY is important in anti-HIV-2 activity of primate TRIM5alpha. %J Virology %V 388 %N 1 %& 160 %P 160 - 168 %I Elsevier %C Amsterdam %@ false
606. Lawyer G, Ferkingstad E, Nesvågc R, Varnäsd K, Agartz I: Local and Covariate-modulated False Discovery Rates Applied in Neuroimaging. NeuroImage 2009, 47.
Abstract
False discovery rate (FDR) control has become a standard technique in neuroimaging. Recent work has shown that a finer grained estimate of the FDR is obtained by estimating, at a specific value of the test statistic, the scaled ratio of the null density to the observed density of the test statistic. The method can be extended by allowing an external covariate, also measured on the points where the hypothesis was tested, to modulate estimation of this local FDR. The current work, in addition to demonstrating these methods by re-analyzing results from two previously published investigations of cortical thickness, presents a method to test if the covariate modulation differs significantly from chance. The first study compared schizophrenia patients to healthy controls and the second compared genotypes of the -633 T/A polymorphism of the gene coding the brain derived neurotrophic factor (BDNF) protein in a subset of the subjects from the case/control study. Local FDR estimates increased findings over FDR in both studies. Using p-values from the case/control study to modulate local FDR estimation in the BDNF study further increased findings. The relationship between case/control related and BDNF related cortical thickness variation was found to be highly significant, providing support for this gene's involvement in the etiology of the disease. The increased statistical precision from more accurate models of the distribution of the test statistic demonstrates the potential of these methods for neuroimaging and suggests the possibility to test novel hypothesis.
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@article{Lawyer2009_lFDR, TITLE = {Local and Covariate-modulated False Discovery Rates Applied in Neuroimaging}, AUTHOR = {Lawyer, Glenn and Ferkingstad, Egil and Nesv{\aa}gc, Ragnar and Varn{\"a}sd, Katarina and Agartz, Ingrid}, LANGUAGE = {eng}, ISSN = {1053-8119}, DOI = {10.1016/j.neuroimage.2009.03.047}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2009}, DATE = {2009}, ABSTRACT = {False discovery rate (FDR) control has become a standard technique in neuroimaging. Recent work has shown that a finer grained estimate of the FDR is obtained by estimating, at a specific value of the test statistic, the scaled ratio of the null density to the observed density of the test statistic. The method can be extended by allowing an external covariate, also measured on the points where the hypothesis was tested, to modulate estimation of this local FDR. The current work, in addition to demonstrating these methods by re-analyzing results from two previously published investigations of cortical thickness, presents a method to test if the covariate modulation differs significantly from chance. The first study compared schizophrenia patients to healthy controls and the second compared genotypes of the -633 T/A polymorphism of the gene coding the brain derived neurotrophic factor (BDNF) protein in a subset of the subjects from the case/control study. Local FDR estimates increased findings over FDR in both studies. Using p-values from the case/control study to modulate local FDR estimation in the BDNF study further increased findings. The relationship between case/control related and BDNF related cortical thickness variation was found to be highly significant, providing support for this gene's involvement in the etiology of the disease. The increased statistical precision from more accurate models of the distribution of the test statistic demonstrates the potential of these methods for neuroimaging and suggests the possibility to test novel hypothesis.}, JOURNAL = {NeuroImage}, VOLUME = {47}, NUMBER = {1}, PAGES = {213--219}, }
Endnote
%0 Journal Article %A Lawyer, Glenn %A Ferkingstad, Egil %A Nesv&#229;gc, Ragnar %A Varn&#228;sd, Katarina %A Agartz, Ingrid %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Local and Covariate-modulated False Discovery Rates Applied in Neuroimaging : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A2E-8 %F EDOC: 520892 %R 10.1016/j.neuroimage.2009.03.047 %7 2009 %D 2009 %* Review method: peer-reviewed %X False discovery rate (FDR) control has become a standard technique in neuroimaging. Recent work has shown that a finer grained estimate of the FDR is obtained by estimating, at a specific value of the test statistic, the scaled ratio of the null density to the observed density of the test statistic. The method can be extended by allowing an external covariate, also measured on the points where the hypothesis was tested, to modulate estimation of this local FDR. The current work, in addition to demonstrating these methods by re-analyzing results from two previously published investigations of cortical thickness, presents a method to test if the covariate modulation differs significantly from chance. The first study compared schizophrenia patients to healthy controls and the second compared genotypes of the -633 T/A polymorphism of the gene coding the brain derived neurotrophic factor (BDNF) protein in a subset of the subjects from the case/control study. Local FDR estimates increased findings over FDR in both studies. Using p-values from the case/control study to modulate local FDR estimation in the BDNF study further increased findings. The relationship between case/control related and BDNF related cortical thickness variation was found to be highly significant, providing support for this gene's involvement in the etiology of the disease. The increased statistical precision from more accurate models of the distribution of the test statistic demonstrates the potential of these methods for neuroimaging and suggests the possibility to test novel hypothesis. %J NeuroImage %V 47 %N 1 %& 213 %P 213 - 219 %I Elsevier %C Amsterdam %@ false
607. Lengauer T, Kaiser R: Computerjagd auf das AIDSvirus. Spektrum der Wissenschaft 2009, 08.
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@article{LengauerKaiser2009a, TITLE = {{Computerjagd auf das {AIDSvirus}}}, AUTHOR = {Lengauer, Thomas and Kaiser, Rolf}, LANGUAGE = {deu}, URL = {http://www.spektrum.de/magazin/computerjagd-auf-das-aidsvirus/999553}, LOCALID = {Local-ID: C125673F004B2D7B-5C35B88E006B6094C12576B1004C2D7F-LengauerKaiser2009a}, PUBLISHER = {Spektrum Verlag}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Spektrum der Wissenschaft}, VOLUME = {08}, PAGES = {62--67}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Computerjagd auf das AIDSvirus : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-1A11-6 %F EDOC: 520904 %F OTHER: Local-ID: C125673F004B2D7B-5C35B88E006B6094C12576B1004C2D7F-LengauerKaiser2009a %U http://www.spektrum.de/magazin/computerjagd-auf-das-aidsvirus/999553 %D 2009 %* Review method: peer-reviewed %J Spektrum der Wissenschaft %V 08 %& 62 %P 62 - 67 %I Spektrum Verlag
608. Lengauer T, Altmann A, Thielen A: Bioinformatische Unterstützung der Auswahl von HIV Therapien. Informatik Spektrum 2009, 32.
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@article{LengAltThie2009, TITLE = {{Bioinformatische Unterst{\"u}tzung der Auswahl von {HIV} Therapien}}, AUTHOR = {Lengauer, Thomas and Altmann, Andr{\'e} and Thielen, Alexander}, LANGUAGE = {deu}, ISSN = {0170-6012}, DOI = {10.1007/s00287-009-0352-7}, LOCALID = {Local-ID: C125673F004B2D7B-E829702BEC6B3F80C12576B2004CD281-LengAltThie2009}, PUBLISHER = {Springer-Verlag}, ADDRESS = {Berlin}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Informatik Spektrum}, VOLUME = {32}, PAGES = {320--331}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Altmann, Andr&#233; %A Thielen, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatische Unterst&#252;tzung der Auswahl von HIV Therapien : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-1A0B-5 %F EDOC: 520897 %F OTHER: Local-ID: C125673F004B2D7B-E829702BEC6B3F80C12576B2004CD281-LengAltThie2009 %R 10.1007/s00287-009-0352-7 %D 2009 %* Review method: peer-reviewed %J Informatik Spektrum %V 32 %& 320 %P 320 - 331 %I Springer-Verlag %C Berlin %@ false %U https://rdcu.be/dOMRT
609. Lengauer T, Sierra S, Kaiser R: Resistenzbestimmung. MMW Fortschritte in der Medizin 2009, 151.
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@article{LengKaiSie2009, TITLE = {{Resistenzbestimmung}}, AUTHOR = {Lengauer, Thomas and Sierra, S. and Kaiser, Rolf}, LANGUAGE = {deu}, ISSN = {1438-3276}, PUBLISHER = {Urban \& Vogel}, ADDRESS = {M{\"u}nchen, Germany}, YEAR = {2009}, DATE = {2009}, JOURNAL = {MMW Fortschritte in der Medizin}, VOLUME = {151}, NUMBER = {18}, PAGES = {74--75}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Sierra, S. %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Resistenzbestimmung : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0019-FA3C-F %D 2009 %J MMW Fortschritte in der Medizin %V 151 %N 18 %& 74 %P 74 - 75 %I Urban & Vogel %C M&#252;nchen, Germany %@ false
610. Lengauer T, Sierra S, Kaiser R: Resistenztestung. MMW Fortschritte in der Medizin 2009, 151.
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@article{LengKaiSie2009z, TITLE = {{Resistenztestung}}, AUTHOR = {Lengauer, Thomas and Sierra, S. and Kaiser, Rolf}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-88EC9D11AE99FBB2C12576B2004D2B87-LengKaiSie2009z}, YEAR = {2009}, DATE = {2009}, JOURNAL = {MMW Fortschritte in der Medizin}, VOLUME = {151}, NUMBER = {18}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Sierra, S. %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Resistenztestung : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-1A39-C %F EDOC: 520898 %F OTHER: Local-ID: C125673F004B2D7B-88EC9D11AE99FBB2C12576B2004D2B87-LengKaiSie2009z %D 2009 %* Review method: peer-reviewed %J MMW Fortschritte in der Medizin %V 151 %N 18
611. Mihm U, Ackermann O, Welsch C, Herrmann E, Hofmann WP, Grigorian N, Welker MW, Lengauer T, Zeuzem S, Sarrazin C: Clinical Relevance of the 2’-5'-Oligoadenylate Synthetase/RNase L System for Treatment Response in Chronic Hepatitis C. Journal of Hepatology 2009, 50.
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@article{LengauerZeuzem2009, TITLE = {Clinical relevance of the 2'-5'-oligoadenylate synthetase/{RNase} {L} system for treatment response in chronic hepatitis {C}}, AUTHOR = {Mihm, Ulrike and Ackermann, Oliver and Welsch, Christoph and Herrmann, Eva and Hofmann, Wolf Peter and Grigorian, Natalia and Welker, Martin Walter and Lengauer, Thomas and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISBN = {0168-8278}, DOI = {10.1016/j.jhep.2008.08.024}, LOCALID = {Local-ID: C125673F004B2D7B-CECF1D8297B7B629C125757E004854C8-LengauerZeuzem2009}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Journal of Hepatology}, VOLUME = {50}, NUMBER = {1}, PAGES = {49--58}, }
Endnote
%0 Journal Article %A Mihm, Ulrike %A Ackermann, Oliver %A Welsch, Christoph %A Herrmann, Eva %A Hofmann, Wolf Peter %A Grigorian, Natalia %A Welker, Martin Walter %A Lengauer, Thomas %A Zeuzem, Stefan %A Sarrazin, Christoph %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Clinical Relevance of the 2'-5'-Oligoadenylate Synthetase/RNase L System for Treatment Response in Chronic Hepatitis C : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A0F-E %F EDOC: 520914 %F OTHER: Local-ID: C125673F004B2D7B-CECF1D8297B7B629C125757E004854C8-LengauerZeuzem2009 %R 10.1016/j.jhep.2008.08.024 %7 2009 %D 2009 %* Review method: peer-reviewed %J Journal of Hepatology %V 50 %N 1 %& 49 %P 49 - 58 %I Elsevier %C Amsterdam %@ 0168-8278
612. Moser D, Ekawardhani S, Kumsta R, Palmason H, Bock C, Athanassiadou Z, Lesch K-P, Meyer J: Functional Analysis of a Potassium-Chloride Co-Transporter 3 (SLC12A6) Promoter Polymorphism Leading to an Additional DNA Methylation Site. Neuropsychopharmacology 2009, 34.
Abstract
The human potassium-chloride co-transporter 3 (KCC3, SLC12A6) is involved in cell proliferation and in electro-neutral movement of ions across the cell membrane. The gene (SLC12A6) is located on chromosome 15q14, a region that has previously shown linkage with bipolar disorder, schizophrenia, rolandic epilepsy, idiopathic generalized epilepsy, autism and attention deficit/hyperactivity disorder. Furthermore, recessively inherited mutations of SLC12A6 cause Andermann syndrome, characterized by agenesis of the corpus callosum, which is associated with peripheral neuropathy and psychoses. Recently, we have demonstrated the association of two G/A promoter polymorphisms of SLC12A6 with bipolar disorder in a case–control study, and familial segregation of the rare variants as well as a trend toward association with schizophrenia. To investigate functional consequences of these polymorphisms, lymphocyte DNA was extracted, bisulfite modified, and subsequently sequenced. To investigate SLC12A6 promoter activity, various promoter constructs were generated and analyzed by luciferase reporter gene assays. We provide evidence that the G- allele showed a significant reduction of reporter gene expression. In human lymphocytes, the allele harboring the rare upstream G nucleotide was found to be methylated at the adjacent C position, possibly accountable for tissue-specific reduction in gene expression in vivo. Here we demonstrate functionality of an SNP associated with psychiatric disease and our results may represent a functional link between genetic variation and an epigenetic modification.
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@article{Moser2009, TITLE = {Functional Analysis of a Potassium-Chloride Co-Transporter 3 ({SLC12A6}) Promoter Polymorphism Leading to an Additional {DNA} Methylation Site}, AUTHOR = {Moser, Dirk and Ekawardhani, Savira and Kumsta, Robert and Palmason, Haukur and Bock, Christoph and Athanassiadou, Zoi and Lesch, Klaus-Peter and Meyer, Jobst}, LANGUAGE = {eng}, ISSN = {0893-133X}, DOI = {10.1038/npp.2008.77}, LOCALID = {Local-ID: C125673F004B2D7B-0BB2B1FF18801B6BC12575220079A4C8-Moser2009}, YEAR = {2009}, DATE = {2009}, ABSTRACT = {The human potassium-chloride co-transporter 3 (KCC3, SLC12A6) is involved in cell proliferation and in electro-neutral movement of ions across the cell membrane. The gene (SLC12A6) is located on chromosome 15q14, a region that has previously shown linkage with bipolar disorder, schizophrenia, rolandic epilepsy, idiopathic generalized epilepsy, autism and attention deficit/hyperactivity disorder. Furthermore, recessively inherited mutations of SLC12A6 cause Andermann syndrome, characterized by agenesis of the corpus callosum, which is associated with peripheral neuropathy and psychoses. Recently, we have demonstrated the association of two G/A promoter polymorphisms of SLC12A6 with bipolar disorder in a case--control study, and familial segregation of the rare variants as well as a trend toward association with schizophrenia. To investigate functional consequences of these polymorphisms, lymphocyte DNA was extracted, bisulfite modified, and subsequently sequenced. To investigate SLC12A6 promoter activity, various promoter constructs were generated and analyzed by luciferase reporter gene assays. We provide evidence that the G- allele showed a significant reduction of reporter gene expression. In human lymphocytes, the allele harboring the rare upstream G nucleotide was found to be methylated at the adjacent C position, possibly accountable for tissue-specific reduction in gene expression in vivo. Here we demonstrate functionality of an SNP associated with psychiatric disease and our results may represent a functional link between genetic variation and an epigenetic modification.}, JOURNAL = {Neuropsychopharmacology}, VOLUME = {34}, NUMBER = {2}, PAGES = {458--467}, }
Endnote
%0 Journal Article %A Moser, Dirk %A Ekawardhani, Savira %A Kumsta, Robert %A Palmason, Haukur %A Bock, Christoph %A Athanassiadou, Zoi %A Lesch, Klaus-Peter %A Meyer, Jobst %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Functional Analysis of a Potassium-Chloride Co-Transporter 3 (SLC12A6) Promoter Polymorphism Leading to an Additional DNA Methylation Site : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A28-3 %F EDOC: 520920 %R 10.1038/npp.2008.77 %F OTHER: Local-ID: C125673F004B2D7B-0BB2B1FF18801B6BC12575220079A4C8-Moser2009 %7 2008-06-04 %D 2009 %* Review method: peer-reviewed %X The human potassium-chloride co-transporter 3 (KCC3, SLC12A6) is involved in cell proliferation and in electro-neutral movement of ions across the cell membrane. The gene (SLC12A6) is located on chromosome 15q14, a region that has previously shown linkage with bipolar disorder, schizophrenia, rolandic epilepsy, idiopathic generalized epilepsy, autism and attention deficit/hyperactivity disorder. Furthermore, recessively inherited mutations of SLC12A6 cause Andermann syndrome, characterized by agenesis of the corpus callosum, which is associated with peripheral neuropathy and psychoses. Recently, we have demonstrated the association of two G/A promoter polymorphisms of SLC12A6 with bipolar disorder in a case&#8211;control study, and familial segregation of the rare variants as well as a trend toward association with schizophrenia. To investigate functional consequences of these polymorphisms, lymphocyte DNA was extracted, bisulfite modified, and subsequently sequenced. To investigate SLC12A6 promoter activity, various promoter constructs were generated and analyzed by luciferase reporter gene assays. We provide evidence that the G- allele showed a significant reduction of reporter gene expression. In human lymphocytes, the allele harboring the rare upstream G nucleotide was found to be methylated at the adjacent C position, possibly accountable for tissue-specific reduction in gene expression in vivo. Here we demonstrate functionality of an SNP associated with psychiatric disease and our results may represent a functional link between genetic variation and an epigenetic modification. %J Neuropsychopharmacology %V 34 %N 2 %& 458 %P 458 - 467 %@ false
613. Müller F: Assessing Antibody Neutralization of HIV-1 as an Initial Step in the Search for gp160-based Immunogens. Universität des Saarlandes; 2009.
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@mastersthesis{MuellerMaster2009, TITLE = {Assessing Antibody Neutralization of {HIV}-1 as an Initial Step in the Search for {gp160}-based Immunogens}, AUTHOR = {M{\"u}ller, Fabian}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, }
Endnote
%0 Thesis %A M&#252;ller, Fabian %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Assessing Antibody Neutralization of HIV-1 as an Initial Step in the Search for gp160-based Immunogens : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA12-B %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %P XIV, 95 p. %V master %9 master
614. Perner J, Altmann A, Lengauer T: Semi-Supervised Learning for Improving Prediction of HIV Drug Resistance. In German Conference on Bioinformatics 2009 (GCB 2009). Volume P157. GI; 2009. [LNI]
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@inproceedings{DBLP:conf/gcb/PernerAL09, TITLE = {Semi-Supervised Learning for Improving Prediction of {HIV} Drug Resistance}, AUTHOR = {Perner, Juliane and Altmann, Andr{\'e} and Lengauer, Thomas}, LANGUAGE = {eng}, URL = {https://dl.gi.de/handle/20.500.12116/20310}, PUBLISHER = {GI}, YEAR = {2009}, DATE = {2009}, BOOKTITLE = {German Conference on Bioinformatics 2009 (GCB 2009)}, EDITOR = {Grosse, Ivo and Neumann, Steffen and Posch, Stefan and Schreiber, Falk and Stadler, Peter F.}, VOLUME = {P157}, PAGES = {55--65}, SERIES = {LNI}, ADDRESS = {Halle-Wittenberg, Germany}, }
Endnote
%0 Conference Proceedings %A Perner, Juliane %A Altmann, Andr&#233; %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Semi-Supervised Learning for Improving Prediction of HIV Drug Resistance : %G eng %U http://hdl.handle.net/21.11116/0000-000F-9A9E-2 %U https://dl.gi.de/handle/20.500.12116/20310 %D 2009 %B German Conference on Bioinformatics 2009 %Z date of event: 2009-09-28 - 2009-09-30 %C Halle-Wittenberg, Germany %B German Conference on Bioinformatics 2009 %E Grosse, Ivo; Neumann, Steffen; Posch, Stefan; Schreiber, Falk; Stadler, Peter F. %V P157 %P 55 - 65 %I GI %B LNI
615. Pironti A: Probabilistic Disease Gene Prioritization. Universität des Saarlandes; 2009.
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@mastersthesis{Pironti2009a, TITLE = {Probabilistic Disease Gene Prioritization}, AUTHOR = {Pironti, Alejandro}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, }
Endnote
%0 Thesis %A Pironti, Alejandro %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Probabilistic Disease Gene Prioritization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F3EE-A %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V master %9 master
616. Prosperi MCF, Altmann A, Rosen-Zvi M, Aharoni E, Gabor B, Fulop B, Sonnerborg A, Schulter E, Struck D, Ulivi G, Vandamme A-M, Vercauteren J, Zazzi M: Investigation of Expert Rule Bases, Logistic Regression, and Non-linear Machine Learning Techniques for Predicting Response to Antiretroviral Treatment. Antiviral Therapy 2009, 14.
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@article{Altmann2009x, TITLE = {Investigation of Expert Rule Bases, Logistic Regression, and Non-linear Machine Learning Techniques for Predicting Response to Antiretroviral Treatment}, AUTHOR = {Prosperi, Mattia C. F. and Altmann, Andr{\'e} and Rosen-Zvi, Michal and Aharoni, Ehud and Gabor, Borgulya and Fulop, Bazso and Sonnerborg, Anders and Schulter, Eugen and Struck, Daniel and Ulivi, Giovanni and Vandamme, Anne-Mieke and Vercauteren, Jurgen and Zazzi, Maurizio}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {https://www.intmedpress.com/journals/avt/abstract.cfm?id=72&pid=88}, PUBLISHER = {International Medical Press}, ADDRESS = {London}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Antiviral Therapy}, VOLUME = {14}, NUMBER = {3}, PAGES = {433--442}, }
Endnote
%0 Journal Article %A Prosperi, Mattia C. F. %A Altmann, Andr&#233; %A Rosen-Zvi, Michal %A Aharoni, Ehud %A Gabor, Borgulya %A Fulop, Bazso %A Sonnerborg, Anders %A Schulter, Eugen %A Struck, Daniel %A Ulivi, Giovanni %A Vandamme, Anne-Mieke %A Vercauteren, Jurgen %A Zazzi, Maurizio %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Investigation of Expert Rule Bases, Logistic Regression, and Non-linear Machine Learning Techniques for Predicting Response to Antiretroviral Treatment : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA28-C %U https://www.intmedpress.com/journals/avt/abstract.cfm?id=72&pid=88 %7 2009 %D 2009 %J Antiviral Therapy %V 14 %N 3 %& 433 %P 433 - 442 %I International Medical Press %C London %@ false
617. Roomp K, Rand J: Intensive Blood Glucose Control is Safe and Effective in Diabetic Cats Using Home Monitoring and Treatment with Glargine. Journal of Feline Medicine and Surgery 2009, 11.
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@article{Roomp2009, TITLE = {Intensive Blood Glucose Control is Safe and Effective in Diabetic Cats Using Home Monitoring and Treatment with Glargine}, AUTHOR = {Roomp, Kirsten and Rand, Jacquie}, LANGUAGE = {eng}, ISSN = {1098-612x}, DOI = {10.1016/j.jfms.2009.04.010}, PUBLISHER = {Elsevier}, ADDRESS = {Amsterdam}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Journal of Feline Medicine and Surgery}, VOLUME = {11}, NUMBER = {8}, PAGES = {668--682}, }
Endnote
%0 Journal Article %A Roomp, Kirsten %A Rand, Jacquie %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Intensive Blood Glucose Control is Safe and Effective in Diabetic Cats Using Home Monitoring and Treatment with Glargine : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA20-B %R 10.1016/j.jfms.2009.04.010 %7 2009 %D 2009 %J Journal of Feline Medicine and Surgery %V 11 %N 8 %& 668 %P 668 - 682 %I Elsevier %C Amsterdam %@ false
618. Schüffler P, Mikeska T, Waha A, Lengauer T, Bock C: MethMarker: User-friendly design and optimization of gene-specific DNA methylation assays. Genome Biology 2009, 10.
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@article{Bock2009bz, TITLE = {{MethMarker}: User-friendly design and optimization of gene-specific {DNA} methylation assays}, AUTHOR = {Sch{\"u}ffler, Peter and Mikeska, Thomas and Waha, Andreas and Lengauer, Thomas and Bock, Christoph}, LANGUAGE = {eng}, DOI = {10.1186/gb-2009-10-10-r105}, LOCALID = {Local-ID: C125673F004B2D7B-311705DBDA6B650DC12576B7000806A7-Bock2009bz}, PUBLISHER = {BioMed Central}, ADDRESS = {London}, YEAR = {2009}, JOURNAL = {Genome Biology}, VOLUME = {10}, NUMBER = {10}, EID = {R105}, }
Endnote
%0 Journal Article %A Sch&#252;ffler, Peter %A Mikeska, Thomas %A Waha, Andreas %A Lengauer, Thomas %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T MethMarker: User-friendly design and optimization of gene-specific DNA methylation assays : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A31-B %F EDOC: 520900 %R 10.1186/gb-2009-10-10-r105 %F OTHER: Local-ID: C125673F004B2D7B-311705DBDA6B650DC12576B7000806A7-Bock2009bz %7 2009 %D 2009 %* Review method: peer-reviewed %J Genome Biology %V 10 %N 10 %Z sequence number: R105 %I BioMed Central %C London
619. Sichtig N, Sierra S, Kaiser R, Däumer M, Reuter S, Schülter E, Altmann A, Fätkenheuer G, Dittmer U, Pfister H, Esser S: Evolution of Raltegravir Resistance During Therapy. Journal of Antimicrobial Chemotherapy 2009, 64.
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@article{Sichtig2009, TITLE = {Evolution of Raltegravir Resistance During Therapy}, AUTHOR = {Sichtig, Nadine and Sierra, Saleta and Kaiser, Rolf and D{\"a}umer, Martin and Reuter, Stefan and Sch{\"u}lter, Eugen and Altmann, Andr{\'e} and F{\"a}tkenheuer, Gerd and Dittmer, Ulf and Pfister, Herbert and Esser, Stefan}, LANGUAGE = {eng}, ISSN = {0305-7453}, DOI = {10.1093/jac/dkp153}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford, U.K.}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Journal of Antimicrobial Chemotherapy}, VOLUME = {64}, NUMBER = {1}, PAGES = {25--32}, }
Endnote
%0 Journal Article %A Sichtig, Nadine %A Sierra, Saleta %A Kaiser, Rolf %A D&#228;umer, Martin %A Reuter, Stefan %A Sch&#252;lter, Eugen %A Altmann, Andr&#233; %A F&#228;tkenheuer, Gerd %A Dittmer, Ulf %A Pfister, Herbert %A Esser, Stefan %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T Evolution of Raltegravir Resistance During Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA2C-4 %R 10.1093/jac/dkp153 %7 2009 %D 2009 %J Journal of Antimicrobial Chemotherapy %V 64 %N 1 %& 25 %P 25 - 32 %I Oxford University Press %C Oxford, U.K. %@ false
620. Sommer I: From Protein Structure to Function. Universität des Saarlandes; 2009.
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@phdthesis{Sommer2010, TITLE = {From Protein Structure to Function}, AUTHOR = {Sommer, Ingolf}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, TYPE = {Habilitation thesis}, }
Endnote
%0 Thesis %A Sommer, Ingolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T From Protein Structure to Function : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-F72C-9 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %P VI, 218 p. %V habilitation %9 habilitation
621. Sos ML, Michel K, Zander T, Weiss J, Frommolt P, Pfeifer M, Li D, Ullrich R, Koker M, Fischer F, Shimamura T, Rauh D, Mermel C, Fischer S, Stückrath I, Heynck S, Beroukhim R, Lin W, Winckler W, Shah K, LaFramboise T, Moriarty WF, Hanna megan, Tolosi L, Rahnenführer J, Verhaak R, Chiang D, Getz G, Hellmich M, Wolf J, et al.: Predicting Drug Susceptibility of Non–small Cell Lung Cancers Based on Genetic Lesions. Journal of Clinical Investigation 2009, 119.
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@article{tolosi2009, TITLE = {Predicting Drug Susceptibility of Non-small Cell Lung Cancers Based on Genetic Lesions}, AUTHOR = {Sos, Martin L. and Michel, Kathrin and Zander, Thomas and Weiss, Jonathan and Frommolt, Peter and Pfeifer, Martin and Li, Danan and Ullrich, Roland and Koker, Mirjam and Fischer, Florian and Shimamura, Takeshi and Rauh, Daniel and Mermel, Craig and Fischer, Stefanie and St{\"u}ckrath, Isabel and Heynck, Stefanie and Beroukhim, Rameen and Lin, William and Winckler, Wendy and Shah, Kinjal and LaFramboise, Thomas and Moriarty, Whei F. and Hanna, megan and Tolosi, Laura and Rahnenf{\"u}hrer, J{\"o}rg and Verhaak, Roel and Chiang, Derek and Getz, Gad and Hellmich, Martin and Wolf, J{\"u}rgen and Girard, Luc and Peyton, Michael and Weir, Barbara A. and Chen, Tzu-Hsiu and Greulich, Heidi and Barretina, Jordi and Shapiro, Geoffrey I. and Garraway, Levi A. and Gazdar, Adi F. and Minna, John D. and Meyerson, Matthew and Wong, Kwok-Kin and Thomas, Roman K.}, LANGUAGE = {eng}, ISSN = {0021-9738}, DOI = {10.1172/JCI37127}, PUBLISHER = {American Society for Clinical Investigation}, ADDRESS = {Ann Arbor, Mich.}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Journal of Clinical Investigation}, VOLUME = {119}, NUMBER = {6}, PAGES = {1727--1740}, }
Endnote
%0 Journal Article %A Sos, Martin L. %A Michel, Kathrin %A Zander, Thomas %A Weiss, Jonathan %A Frommolt, Peter %A Pfeifer, Martin %A Li, Danan %A Ullrich, Roland %A Koker, Mirjam %A Fischer, Florian %A Shimamura, Takeshi %A Rauh, Daniel %A Mermel, Craig %A Fischer, Stefanie %A St&#252;ckrath, Isabel %A Heynck, Stefanie %A Beroukhim, Rameen %A Lin, William %A Winckler, Wendy %A Shah, Kinjal %A LaFramboise, Thomas %A Moriarty, Whei F. %A Hanna, megan %A Tolosi, Laura %A Rahnenf&#252;hrer, J&#246;rg %A Verhaak, Roel %A Chiang, Derek %A Getz, Gad %A Hellmich, Martin %A Wolf, J&#252;rgen %A Girard, Luc %A Peyton, Michael %A Weir, Barbara A. %A Chen, Tzu-Hsiu %A Greulich, Heidi %A Barretina, Jordi %A Shapiro, Geoffrey I. %A Garraway, Levi A. %A Gazdar, Adi F. %A Minna, John D. %A Meyerson, Matthew %A Wong, Kwok-Kin %A Thomas, Roman K. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Predicting Drug Susceptibility of Non&#8211;small Cell Lung Cancers Based on Genetic Lesions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA24-3 %R 10.1172/JCI37127 %2 PMC2689116 %7 2009-03-25 %D 2009 %J Journal of Clinical Investigation %V 119 %N 6 %& 1727 %P 1727 - 1740 %I American Society for Clinical Investigation %C Ann Arbor, Mich. %@ false
622. Susser S, Welsch C, Wang Y, Zettler M, Domingues FS, Karey U, Hughes E, Ralston R, Tong X, Herrmann E, Zeuzem S, Sarrazin C: Characterization of Resistance to the Protease Inhibitor Boceprevir in Hepatitis C Virus-infected Patients. Hepatology 2009, 50.
Abstract
Boceprevir is a hepatitis C virus (HCV) nonstructural protein (NS) 3/4A protease inhibitor that is currently being evaluated in combination with peginterferon alfa-2b and ribavirin in phase 3 studies. The clinical resistance profile of boceprevir is not characterized in detail so far. The NS3 protease domain of viral RNA was cloned from HCV genotype 1-infected patients (n = 22). A mean number of 47 clones were sequenced before, at the end, and after treatment with 400 mg boceprevir twice or three times daily for 14 days for genotypic, phenotypic, and viral fitness analysis. At the end of treatment, a wild-type an NS3 protease sequence was observed with a mean frequency of 85.9\%. In the remaining isolates, five previously observed resistance mutations (V36M/A, T54A/S, R155K/T, A156S, V170A) and one mutation (V55A) with unknown resistance to boceprevir were detected either alone or in combination. Phenotypic analysis in the HCV replicon assay showed low (V36G, T54S, R155L; 3.8- to 5.5-fold 50\% inhibitory concentration [IC(50)]), medium (V55A, R155K, V170A, T54A, A156S; 6.8- to 17.7-fold IC(50)) and high level (A156T; >120-fold IC(50)) resistance to boceprevir. The overall frequency of resistant mutations and the level of resistance increased with greater declines in mean maximum HCV RNA levels. Two weeks after the end of treatment, the frequency of resistant variants declined and the number of wild-type isolates increased to 95.5\%. With the exception of V36 and V170 variants all resistant mutations declined by more than 50\%. Mathematical modeling revealed impaired replicative fitness for all single mutations, whereas for combined mutations a relative increase of replication efficiency was suggested. Conclusion: During boceprevir monotherapy, resistance mutations at six positions within the NS3 protease were detected by way of clonal sequence analysis. All mutations are associated with reduced replicative fitness estimated by mathematical modeling and show cross-resistance to telaprevir. (HEPATOLOGY 2009.).
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@article{Susser2009, TITLE = {Characterization of resistance to the protease inhibitor boceprevir in hepatitis {C} virus-infected patients}, AUTHOR = {Susser, Simone and Welsch, Christoph and Wang, Yalan and Zettler, Markus and Domingues, Francisco S. and Karey, Ursula and Hughes, Eric and Ralston, Robert and Tong, Xiao and Herrmann, Eva and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {0270-9139}, DOI = {10.1002/hep.23192}, LOCALID = {Local-ID: C125673F004B2D7B-5B7A2422265D4871C12576930046EDA1-Susser2009}, YEAR = {2009}, DATE = {2009}, ABSTRACT = {Boceprevir is a hepatitis C virus (HCV) nonstructural protein (NS) 3/4A protease inhibitor that is currently being evaluated in combination with peginterferon alfa-2b and ribavirin in phase 3 studies. The clinical resistance profile of boceprevir is not characterized in detail so far. The NS3 protease domain of viral RNA was cloned from HCV genotype 1-infected patients (n = 22). A mean number of 47 clones were sequenced before, at the end, and after treatment with 400 mg boceprevir twice or three times daily for 14 days for genotypic, phenotypic, and viral fitness analysis. At the end of treatment, a wild-type an NS3 protease sequence was observed with a mean frequency of 85.9\%. In the remaining isolates, five previously observed resistance mutations (V36M/A, T54A/S, R155K/T, A156S, V170A) and one mutation (V55A) with unknown resistance to boceprevir were detected either alone or in combination. Phenotypic analysis in the HCV replicon assay showed low (V36G, T54S, R155L; 3.8- to 5.5-fold 50\% inhibitory concentration [IC(50)]), medium (V55A, R155K, V170A, T54A, A156S; 6.8- to 17.7-fold IC(50)) and high level (A156T; >120-fold IC(50)) resistance to boceprevir. The overall frequency of resistant mutations and the level of resistance increased with greater declines in mean maximum HCV RNA levels. Two weeks after the end of treatment, the frequency of resistant variants declined and the number of wild-type isolates increased to 95.5\%. With the exception of V36 and V170 variants all resistant mutations declined by more than 50\%. Mathematical modeling revealed impaired replicative fitness for all single mutations, whereas for combined mutations a relative increase of replication efficiency was suggested. Conclusion: During boceprevir monotherapy, resistance mutations at six positions within the NS3 protease were detected by way of clonal sequence analysis. All mutations are associated with reduced replicative fitness estimated by mathematical modeling and show cross-resistance to telaprevir. (HEPATOLOGY 2009.).}, JOURNAL = {Hepatology}, VOLUME = {50}, NUMBER = {6}, PAGES = {1709--1718}, }
Endnote
%0 Journal Article %A Susser, Simone %A Welsch, Christoph %A Wang, Yalan %A Zettler, Markus %A Domingues, Francisco S. %A Karey, Ursula %A Hughes, Eric %A Ralston, Robert %A Tong, Xiao %A Herrmann, Eva %A Zeuzem, Stefan %A Sarrazin, Christoph %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Characterization of Resistance to the Protease Inhibitor Boceprevir in Hepatitis C Virus-infected Patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A0D-1 %F EDOC: 520908 %R 10.1002/hep.23192 %F OTHER: Local-ID: C125673F004B2D7B-5B7A2422265D4871C12576930046EDA1-Susser2009 %7 2009 %D 2009 %* Review method: peer-reviewed %X Boceprevir is a hepatitis C virus (HCV) nonstructural protein (NS) 3/4A protease inhibitor that is currently being evaluated in combination with peginterferon alfa-2b and ribavirin in phase 3 studies. The clinical resistance profile of boceprevir is not characterized in detail so far. The NS3 protease domain of viral RNA was cloned from HCV genotype 1-infected patients (n = 22). A mean number of 47 clones were sequenced before, at the end, and after treatment with 400 mg boceprevir twice or three times daily for 14 days for genotypic, phenotypic, and viral fitness analysis. At the end of treatment, a wild-type an NS3 protease sequence was observed with a mean frequency of 85.9\%. In the remaining isolates, five previously observed resistance mutations (V36M/A, T54A/S, R155K/T, A156S, V170A) and one mutation (V55A) with unknown resistance to boceprevir were detected either alone or in combination. Phenotypic analysis in the HCV replicon assay showed low (V36G, T54S, R155L; 3.8- to 5.5-fold 50\% inhibitory concentration [IC(50)]), medium (V55A, R155K, V170A, T54A, A156S; 6.8- to 17.7-fold IC(50)) and high level (A156T; >120-fold IC(50)) resistance to boceprevir. The overall frequency of resistant mutations and the level of resistance increased with greater declines in mean maximum HCV RNA levels. Two weeks after the end of treatment, the frequency of resistant variants declined and the number of wild-type isolates increased to 95.5\%. With the exception of V36 and V170 variants all resistant mutations declined by more than 50\%. Mathematical modeling revealed impaired replicative fitness for all single mutations, whereas for combined mutations a relative increase of replication efficiency was suggested. Conclusion: During boceprevir monotherapy, resistance mutations at six positions within the NS3 protease were detected by way of clonal sequence analysis. All mutations are associated with reduced replicative fitness estimated by mathematical modeling and show cross-resistance to telaprevir. (HEPATOLOGY 2009.). %J Hepatology %V 50 %N 6 %& 1709 %P 1709 - 1718 %@ false
623. Thielen A, Altmann A, Bogojeska J, Kaiser R, Lengauer T: Estimating Evolutionary Pathways to CXCR4 Usage from Cross-sectional Data. Antiviral Therapy 2009(Suppl. 1).
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@inproceedings{Thielen2009IDRW, TITLE = {Estimating Evolutionary Pathways to {CXCR4} Usage from Cross-sectional Data}, AUTHOR = {Thielen, Alexander and Altmann, Andr{\'e} and Bogojeska, Jasmina and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1359-6535}, LOCALID = {Local-ID: C125673F004B2D7B-AB26A70926E54FE5C12575D60045204D-Thielen2009IDRW}, PUBLISHER = {International Medical Press}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Antiviral Therapy}, VOLUME = {14}, ISSUE = {Suppl. 1}, PAGES = {A16--A16}, EID = {Abstract 14}, JOURNAL = {Abstracts presented at the XVIII International HIV Drug Resistance Workshop}, ADDRESS = {Fort Myers, FL, USA}, }
Endnote
%0 Generic %A Thielen, Alexander %A Altmann, Andr&#233; %A Bogojeska, Jasmina %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating Evolutionary Pathways to CXCR4 Usage from Cross-sectional Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17C3-C %F EDOC: 520910 %F OTHER: Local-ID: C125673F004B2D7B-AB26A70926E54FE5C12575D60045204D-Thielen2009IDRW %D 2009 %Z name of event: XVIII International HIV Drug Resistance Workshop %Z date of event: 2009-06-09 - 2009-06-13 %Z place of event: Fort Myers, FL, USA %J Antiviral Therapy %V 14 %N Suppl. 1 %P A16 - A16 %Z sequence number: Abstract 14 %@ false %B Abstracts presented at the XVIII International HIV Drug Resistance Workshop
624. Thielen A, Sichtig N, Braun P, Däumer M, Walter H, Noah C, Wolf E, Müller H, Stürmer M, Lengauer T, Kaiser R, Obermeier M: Performance of Genotypic Coreceptor Measurement Using Geno2pheno[coreceptor] in B- and non-B HIV Subtypes in a Large Cohort of Therapy-experienced Patients in Germany. Reviews in Antiviral Therapy 2009.
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@inproceedings{Thielen2008EDRW, TITLE = {Performance of Genotypic Coreceptor Measurement Using Geno2pheno[coreceptor] in {B}- and non-{B} {HIV} Subtypes in a Large Cohort of Therapy-experienced Patients in {Germany}}, AUTHOR = {Thielen, Alexander and Sichtig, Nadine and Braun, Patrick and D{\"a}umer, Martin and Walter, Hauke and Noah, Christian and Wolf, Eva and M{\"u}ller, Harm and St{\"u}rmer, Martin and Lengauer, Thomas and Kaiser, Rolf and Obermeier, Martin}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-2772CF0E7A49F03FC12575D600461462-Thielen2008EDRW}, PUBLISHER = {Virology Education}, YEAR = {2009}, DATE = {2009}, JOURNAL = {Reviews in Antiviral Therapy}, VOLUME = {2009}, ISSUE = {1}, PAGES = {99--99}, ADDRESS = {Stockholm, Sweden}, }
Endnote
%0 Generic %A Thielen, Alexander %A Sichtig, Nadine %A Braun, Patrick %A D&#228;umer, Martin %A Walter, Hauke %A Noah, Christian %A Wolf, Eva %A M&#252;ller, Harm %A St&#252;rmer, Martin %A Lengauer, Thomas %A Kaiser, Rolf %A Obermeier, Martin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Performance of Genotypic Coreceptor Measurement Using Geno2pheno[coreceptor] in B- and non-B HIV Subtypes in a Large Cohort of Therapy-experienced Patients in Germany : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17BE-9 %F EDOC: 520912 %F OTHER: Local-ID: C125673F004B2D7B-2772CF0E7A49F03FC12575D600461462-Thielen2008EDRW %D 2009 %Z name of event: 7th European HIV Drug Resistance Workshop %Z date of event: 2009-03-25 - 2009-03-27 %Z place of event: Stockholm, Sweden %J Reviews in Antiviral Therapy %V 2009 %N 1 %P 99 - 99
625. Trignetti M, Sing T, Svicher V, Santoro MM, Forbici F, D’arrigo R, Bellocchi MC, Santoro M, Marconi P, Zaccarelli M, Tortta MP, Bellagamba R, Narciso P, Antinori A, Perno CF, Lengauer T, Ceccherini-Silberstein F: Dynamics of NRTI resistance mutations during therapy interruption. AIDS Research and Human Retroviruses 2009, 25.
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@article{LengauerSing2009, TITLE = {Dynamics of {NRTI} resistance mutations during therapy interruption}, AUTHOR = {Trignetti, Maria and Sing, Tobias and Svicher, Valentina and Santoro, Maria Mercedes and Forbici, Federica and D'arrigo, Roberta and Bellocchi, Maria Concetta and Santoro, Mario and Marconi, Patrizia and Zaccarelli, Mauro and Tortta, Maria Paola and Bellagamba, Rita and Narciso, Pasquale and Antinori, Andrea and Perno, Carlo Federico and Lengauer, Thomas and Ceccherini-Silberstein, Francesca}, LANGUAGE = {eng}, ISSN = {0889-2229}, DOI = {10.1089/aid.2008.0159}, LOCALID = {Local-ID: C125673F004B2D7B-82264AE469BC0230C125757E00489F64-LengauerSing2009}, YEAR = {2009}, DATE = {2009}, JOURNAL = {AIDS Research and Human Retroviruses}, VOLUME = {25}, NUMBER = {1}, PAGES = {57--64}, }
Endnote
%0 Journal Article %A Trignetti, Maria %A Sing, Tobias %A Svicher, Valentina %A Santoro, Maria Mercedes %A Forbici, Federica %A D'arrigo, Roberta %A Bellocchi, Maria Concetta %A Santoro, Mario %A Marconi, Patrizia %A Zaccarelli, Mauro %A Tortta, Maria Paola %A Bellagamba, Rita %A Narciso, Pasquale %A Antinori, Andrea %A Perno, Carlo Federico %A Lengauer, Thomas %A Ceccherini-Silberstein, Francesca %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Dynamics of NRTI resistance mutations during therapy interruption : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A1F-A %F EDOC: 520915 %F OTHER: Local-ID: C125673F004B2D7B-82264AE469BC0230C125757E00489F64-LengauerSing2009 %R 10.1089/aid.2008.0159 %7 2009 %D 2009 %* Review method: peer-reviewed %J AIDS Research and Human Retroviruses %V 25 %N 1 %& 57 %P 57 - 64 %@ false
626. Weimann A: Using Multidimensional Scaling for Visualizing Similarities of Protein Domains. Universität des Saarlandes; 2009.
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@mastersthesis{Weimann2009a, TITLE = {Using Multidimensional Scaling for Visualizing Similarities of Protein Domains}, AUTHOR = {Weimann, Aaron}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2009}, DATE = {2009}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Weimann, Aaron %Y Lengauer, Thomas %A referee: Sommer, Ingolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Using Multidimensional Scaling for Visualizing Similarities of Protein Domains : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA0E-6 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2009 %V bachelor %9 bachelor
627. Zhang Y, Rohde C, Tierling S, Jurkowski TP, Bock C, Santacruz D, Ragozin S, Reinhardt R, Groth M, Walter J, Jeltsch A: DNA Methylation Analysis of Chromosome 21 Gene Promoters at Single Base Pair and Single Allele Resolution. PLoS Genetics 2009, 5.
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@article{Zhang2009, TITLE = {{DNA} Methylation Analysis of Chromosome 21 Gene Promoters at Single Base Pair and Single Allele Resolution}, AUTHOR = {Zhang, Yingying and Rohde, Christian and Tierling, Sascha and Jurkowski, Tomasz P. and Bock, Christoph and Santacruz, Diana and Ragozin, Sergey and Reinhardt, Richard and Groth, Marco and Walter, J{\"o}rn and Jeltsch, Albert}, LANGUAGE = {eng}, DOI = {10.1371/journal.pgen.1000438}, LOCALID = {Local-ID: C125673F004B2D7B-91AFE4A2BED87AD8C12576B700088653-Bock2009}, PUBLISHER = {PLoS}, ADDRESS = {San Francisco, CA}, YEAR = {2009}, JOURNAL = {PLoS Genetics}, VOLUME = {5}, NUMBER = {3}, EID = {e1000438}, }
Endnote
%0 Journal Article %A Zhang, Yingying %A Rohde, Christian %A Tierling, Sascha %A Jurkowski, Tomasz P. %A Bock, Christoph %A Santacruz, Diana %A Ragozin, Sergey %A Reinhardt, Richard %A Groth, Marco %A Walter, J&#246;rn %A Jeltsch, Albert %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations %T DNA Methylation Analysis of Chromosome 21 Gene Promoters at Single Base Pair and Single Allele Resolution : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A18-7 %F EDOC: 520895 %R 10.1371/journal.pgen.1000438 %F OTHER: Local-ID: C125673F004B2D7B-91AFE4A2BED87AD8C12576B700088653-Bock2009 %7 2009 %D 2009 %* Review method: peer-reviewed %J PLoS Genetics %V 5 %N 3 %Z sequence number: e1000438 %I PLoS %C San Francisco, CA
2008
628. Altmann A, Rosen-Zvi M, Prosperi M, Aharoni E, Neuvirth H, Sönnerborg A, Schülter E, Büch J, Struck D, Peres Y, Incardona F, Kaiser R, Zazzi M, Lengauer T: Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy. PLoS ONE 2008, 3.
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@article{Altmann2008a, TITLE = {Comparison of Classifier Fusion Methods for Predicting Response to Anti {HIV}-1 Therapy}, AUTHOR = {Altmann, Andre and Rosen-Zvi, Michal and Prosperi, Mattia and Aharoni, Ehud and Neuvirth, Hani and S{\"o}nnerborg, Anders and Sch{\"u}lter, Eugen and B{\"u}ch, Joachim and Struck, Daniel and Peres, Yardena and Incardona, Francesca and Kaiser, Rolf and Zazzi, Maurizio and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://dx.plos.org/10.1371/journal.pone.0003470}, DOI = {10.1371/journal.pone.0003470}, LOCALID = {Local-ID: C125756E0038A185-4014325E58E801B4C125750D006D87CB-Altmann2008a}, YEAR = {2008}, DATE = {2008}, JOURNAL = {PLoS ONE}, VOLUME = {3}, NUMBER = {10}, EID = {e3470}, }
Endnote
%0 Journal Article %A Altmann, Andre %A Rosen-Zvi, Michal %A Prosperi, Mattia %A Aharoni, Ehud %A Neuvirth, Hani %A S&#246;nnerborg, Anders %A Sch&#252;lter, Eugen %A B&#252;ch, Joachim %A Struck, Daniel %A Peres, Yardena %A Incardona, Francesca %A Kaiser, Rolf %A Zazzi, Maurizio %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1B3E-9 %F EDOC: 428265 %R 10.1371/journal.pone.0003470 %U http://dx.plos.org/10.1371/journal.pone.0003470 %F OTHER: Local-ID: C125756E0038A185-4014325E58E801B4C125750D006D87CB-Altmann2008a %D 2008 %J PLoS ONE %V 3 %N 10 %Z sequence number: e3470 %@ false
629. Altmann A, Rosen-Zvi M, Prosperi M, Aharoni E, Neuvirth H, Schülter E, Büch J, Peres Y, Incardona I, Sönnerborg A, Kaiser R, Zazzi M, Lengauer T: The EuResist Approach for Predicting Response to Anti HIV-1 Therapy. Reviews in Antiviral Therapy 2008.
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@inproceedings{Altmann2008EDRW, TITLE = {The {EuResist} approach for predicting response to anti {HIV-1} therapy}, AUTHOR = {Altmann, Andre and Rosen-Zvi, Michal and Prosperi, Mattia and Aharoni, Ehud and Neuvirth, Hani and Sch{\"u}lter, Eugen and B{\"u}ch, Joachim and Peres, Yardena and Incardona, Incardona and S{\"o}nnerborg, Anders and Kaiser, Rolf and Zazzi, Maurizio and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1872-437X}, LOCALID = {Local-ID: C125756E0038A185-37BB8F81589204E4C1257546004DB142-Altmann2008EDRW}, PUBLISHER = {Virology Education}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Reviews in Antiviral Therapy}, VOLUME = {2008}, ISSUE = {2}, PAGES = {107--107}, ADDRESS = {Budapest, Hungary}, }
Endnote
%0 Generic %A Altmann, Andre %A Rosen-Zvi, Michal %A Prosperi, Mattia %A Aharoni, Ehud %A Neuvirth, Hani %A Sch&#252;lter, Eugen %A B&#252;ch, Joachim %A Peres, Yardena %A Incardona, Incardona %A S&#246;nnerborg, Anders %A Kaiser, Rolf %A Zazzi, Maurizio %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The EuResist Approach for Predicting Response to Anti HIV-1 Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17D3-8 %F EDOC: 427971 %F OTHER: Local-ID: C125756E0038A185-37BB8F81589204E4C1257546004DB142-Altmann2008EDRW %D 2008 %Z name of event: 6th European HIV Drug Resistance Workshop %Z date of event: 2008-03-26 - 2008-03-28 %Z place of event: Budapest, Hungary %J Reviews in Antiviral Therapy %V 2008 %N 2 %P 107 - 107 %@ false
630. Assenov Y, Ramírez F, Schelhorn S-E, Lengauer T, Albrecht M: Computing Topological Parameters of Biological Networks. Bioinformatics 2008, 24.
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@article{Assenov-et-al_Bioinformatics08, TITLE = {Computing Topological Parameters of Biological Networks}, AUTHOR = {Assenov, Yassen and Ram{\'i}rez, Fidel and Schelhorn, Sven-Eric and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btm554}, DOI = {10.1093/bioinformatics/btm554}, LOCALID = {Local-ID: C125756E0038A185-670864261729C824C12573D00042B9FE-Albrecht2008b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Bioinformatics}, VOLUME = {24}, NUMBER = {2}, PAGES = {282--284}, }
Endnote
%0 Journal Article %A Assenov, Yassen %A Ram&#237;rez, Fidel %A Schelhorn, Sven-Eric %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computing Topological Parameters of Biological Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1B4C-9 %F EDOC: 427980 %R 10.1093/bioinformatics/btm554 %U http://dx.doi.org/10.1093/bioinformatics/btm554 %F OTHER: Local-ID: C125756E0038A185-670864261729C824C12573D00042B9FE-Albrecht2008b %D 2008 %* Review method: peer-reviewed %J Bioinformatics %V 24 %N 2 %& 282 %P 282 - 284 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btm554
631. Bickel S, Bogojeska J, Lengauer T, Scheffer T: Multi-task Learning for HIV Therapy Screening. In ICML’08, 25th Annual International Conference on Machine Learning. ACM; 2008.
Abstract
We address the problem of learning classifers for a large number of tasks. We <br>derive a solution that produces resampling weights<br>which match the pool of all examples to the target distribution of any given <br>task. Our work is motivated by the problem of predicting the outcome of a <br>therapy attempt for a patient who carries an HIV virus with a set of observed <br>genetic properties. Such predictions need to be made for hundreds of possible <br>combinations of drugs, some of which use similar biochemical mechanisms. <br>Multi-task learning enables us to make predictions even for drug combinations <br>with few or no training examples and substantially improves the overall <br>prediction accuracy.
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@inproceedings{Bickel_icml_2008, TITLE = {Multi-task Learning for {HIV} Therapy Screening}, AUTHOR = {Bickel, Steffen and Bogojeska, Jasmina and Lengauer, Thomas and Scheffer, Tobias}, LANGUAGE = {eng}, ISBN = {978-1-60558-205-4}, URL = {http://doi.acm.org/10.1145/1390156.1390164}, DOI = {10.1145/1390156.1390164}, LOCALID = {Local-ID: C125756E0038A185-ECFE258759FA0F00C1257512004D71B6-Bickel_icml_2008}, PUBLISHER = {ACM}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {We address the problem of learning classifers for a large number of tasks. We <br>derive a solution that produces resampling weights<br>which match the pool of all examples to the target distribution of any given <br>task. Our work is motivated by the problem of predicting the outcome of a <br>therapy attempt for a patient who carries an HIV virus with a set of observed <br>genetic properties. Such predictions need to be made for hundreds of possible <br>combinations of drugs, some of which use similar biochemical mechanisms. <br>Multi-task learning enables us to make predictions even for drug combinations <br>with few or no training examples and substantially improves the overall <br>prediction accuracy.}, BOOKTITLE = {ICML'08, 25th Annual International Conference on Machine Learning}, EDITOR = {McCallum, Andrew and Roweis, Sam}, PAGES = {56--63}, ADDRESS = {Helsinki, Finland}, }
Endnote
%0 Conference Proceedings %A Bickel, Steffen %A Bogojeska, Jasmina %A Lengauer, Thomas %A Scheffer, Tobias %+ Machine Learning, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Machine Learning, MPI for Informatics, Max Planck Society %T Multi-task Learning for HIV Therapy Screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C5A-5 %F EDOC: 427998 %R 10.1145/1390156.1390164 %U http://doi.acm.org/10.1145/1390156.1390164 %F OTHER: Local-ID: C125756E0038A185-ECFE258759FA0F00C1257512004D71B6-Bickel_icml_2008 %D 2008 %B 25th Annual International Conference on Machine Learning %Z date of event: 2008-07-05 - 2008-07-09 %C Helsinki, Finland %X We address the problem of learning classifers for a large number of tasks. We <br>derive a solution that produces resampling weights<br>which match the pool of all examples to the target distribution of any given <br>task. Our work is motivated by the problem of predicting the outcome of a <br>therapy attempt for a patient who carries an HIV virus with a set of observed <br>genetic properties. Such predictions need to be made for hundreds of possible <br>combinations of drugs, some of which use similar biochemical mechanisms. <br>Multi-task learning enables us to make predictions even for drug combinations <br>with few or no training examples and substantially improves the overall <br>prediction accuracy. %B ICML'08 %E McCallum, Andrew; Roweis, Sam %P 56 - 63 %I ACM %@ 978-1-60558-205-4
632. Bock C: IVF: stars may have to consider the risk of stolen parenthood. Nature 2008, 454.
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@article{Bock2008d, TITLE = {{IVF}: stars may have to consider the risk of stolen parenthood}, AUTHOR = {Bock, Christoph}, LANGUAGE = {eng}, ISSN = {0028-0836}, DOI = {10.1038/454938a}, LOCALID = {Local-ID: C125756E0038A185-D4D5075C9DF488A1C125752200792941-Bock2008d}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Nature}, VOLUME = {454}, NUMBER = {7207}, PAGES = {938--938}, }
Endnote
%0 Journal Article %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T IVF: stars may have to consider the risk of stolen parenthood : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C04-5 %F EDOC: 427999 %R 10.1038/454938a %F OTHER: Local-ID: C125756E0038A185-D4D5075C9DF488A1C125752200792941-Bock2008d %D 2008 %* Review method: peer-reviewed %J Nature %V 454 %N 7207 %& 938 %P 938 - 938 %@ false
633. Bock C, Walter J, Paulsen M, Lengauer T: Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping. Nucleic Acids Research 2008, 36.
Abstract
Genomic DNA methylation profiles exhibit substantial variation within the human population, with important functional implications for gene regulation. So far little is known about the characteristics and determinants of DNA methylation variation among healthy individuals. We performed bioinformatic analysis of high-resolution methylation profiles from multiple individuals, uncovering complex patterns of inter-individual variation that are strongly correlated with the local DNA sequence. CpG-rich regions exhibit low and relatively similar levels of DNA methylation in all individuals, but the sequential order of the (few) methylated among the (many) unmethylated CpGs differs randomly across individuals. In contrast, CpG-poor regions exhibit substantially elevated levels of inter-individual variation, but also significant conservation of specific DNA methylation patterns between unrelated individuals. This observation has important implications for experimental analysis of DNA methylation, e.g. in the context of epigenome projects. First, DNA methylation mapping at single-CpG resolution is expected to uncover informative DNA methylation patterns for the CpG-poor bulk of the human genome. Second, for CpG-rich regions it will be sufficient to measure average methylation levels rather than assaying every single CpG. We substantiate these conclusions by an in silico benchmarking study of six widely used methods for DNA methylation mapping. Based on our findings, we propose a cost-optimized two-track strategy for mammalian methylome projects.
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@article{Bock2008c, TITLE = {Inter-individual variation of {DNA} methylation and its implications for large-scale epigenome mapping}, AUTHOR = {Bock, Christoph and Walter, J{\"o}rn and Paulsen, Martina and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0305-1048}, URL = {http://dx.doi.org/10.1093/nar/gkn122}, DOI = {10.1093/nar/gkn122}, LOCALID = {Local-ID: C125756E0038A185-869594111BDC2511C125752200786FA4-Bock2008c}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {Genomic DNA methylation profiles exhibit substantial variation within the human population, with important functional implications for gene regulation. So far little is known about the characteristics and determinants of DNA methylation variation among healthy individuals. We performed bioinformatic analysis of high-resolution methylation profiles from multiple individuals, uncovering complex patterns of inter-individual variation that are strongly correlated with the local DNA sequence. CpG-rich regions exhibit low and relatively similar levels of DNA methylation in all individuals, but the sequential order of the (few) methylated among the (many) unmethylated CpGs differs randomly across individuals. In contrast, CpG-poor regions exhibit substantially elevated levels of inter-individual variation, but also significant conservation of specific DNA methylation patterns between unrelated individuals. This observation has important implications for experimental analysis of DNA methylation, e.g. in the context of epigenome projects. First, DNA methylation mapping at single-CpG resolution is expected to uncover informative DNA methylation patterns for the CpG-poor bulk of the human genome. Second, for CpG-rich regions it will be sufficient to measure average methylation levels rather than assaying every single CpG. We substantiate these conclusions by an in silico benchmarking study of six widely used methods for DNA methylation mapping. Based on our findings, we propose a cost-optimized two-track strategy for mammalian methylome projects.}, JOURNAL = {Nucleic Acids Research}, VOLUME = {36}, NUMBER = {10}, EID = {e55}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Walter, J&#246;rn %A Paulsen, Martina %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1BFE-C %F EDOC: 428001 %R 10.1093/nar/gkn122 %U http://dx.doi.org/10.1093/nar/gkn122 %F OTHER: Local-ID: C125756E0038A185-869594111BDC2511C125752200786FA4-Bock2008c %D 2008 %* Review method: peer-reviewed %X Genomic DNA methylation profiles exhibit substantial variation within the human population, with important functional implications for gene regulation. So far little is known about the characteristics and determinants of DNA methylation variation among healthy individuals. We performed bioinformatic analysis of high-resolution methylation profiles from multiple individuals, uncovering complex patterns of inter-individual variation that are strongly correlated with the local DNA sequence. CpG-rich regions exhibit low and relatively similar levels of DNA methylation in all individuals, but the sequential order of the (few) methylated among the (many) unmethylated CpGs differs randomly across individuals. In contrast, CpG-poor regions exhibit substantially elevated levels of inter-individual variation, but also significant conservation of specific DNA methylation patterns between unrelated individuals. This observation has important implications for experimental analysis of DNA methylation, e.g. in the context of epigenome projects. First, DNA methylation mapping at single-CpG resolution is expected to uncover informative DNA methylation patterns for the CpG-poor bulk of the human genome. Second, for CpG-rich regions it will be sufficient to measure average methylation levels rather than assaying every single CpG. We substantiate these conclusions by an in silico benchmarking study of six widely used methods for DNA methylation mapping. Based on our findings, we propose a cost-optimized two-track strategy for mammalian methylome projects. %J Nucleic Acids Research %V 36 %N 10 %Z sequence number: e55 %@ false
634. Bock C, Lengauer T: Computational Epigenetics. Bioinformatics 2008, 24.
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@article{Bock-et-al_Bioinformatics08, TITLE = {Computational Epigenetics}, AUTHOR = {Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btm546}, DOI = {10.1093/bioinformatics/btm546}, LOCALID = {Local-ID: C125756E0038A185-566DD9F499693093C12573B600592976-Bock2008a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Bioinformatics}, VOLUME = {24}, NUMBER = {1}, PAGES = {1--10}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Epigenetics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1B44-A %F EDOC: 428000 %R 10.1093/bioinformatics/btm546 %U http://dx.doi.org/10.1093/bioinformatics/btm546 %F OTHER: Local-ID: C125756E0038A185-566DD9F499693093C12573B600592976-Bock2008a %D 2008 %* Review method: peer-reviewed %J Bioinformatics %V 24 %N 1 %& 1 %P 1 - 10 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btm546
635. Bock C: Computational Epigenetics - Bioinformatic methods for epigenome prediction, DNA methylation mapping and cancer epigenetics. Universität des Saarlandes; 2008.
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@phdthesis{Bock2008b, TITLE = {Computational Epigenetics -- Bioinformatic methods for epigenome prediction, {DNA} methylation mapping and cancer epigenetics}, AUTHOR = {Bock, Christoph}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-20491}, DOI = {10.22028/D291-25926}, LOCALID = {Local-ID: C125756E0038A185-49DE16446B8011EBC12575220079E05D-Bock2008b}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Bock, Christoph %Y Lengauer, Thomas %A referee: Walter, J&#246;rn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Computational Epigenetics - Bioinformatic methods for epigenome prediction, DNA methylation mapping and cancer epigenetics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A92-2 %F EDOC: 428314 %F OTHER: Local-ID: C125756E0038A185-49DE16446B8011EBC12575220079E05D-Bock2008b %R 10.22028/D291-25926 %U urn:nbn:de:bsz:291-scidok-20491 %F OTHER: hdl:20.500.11880/25982 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2009/2049/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
636. Bogojeska J, Alexa A, Altmann A, Lengauer T, Rahnenführer J: Rtreemix: An R Package for Estimating Evolutionary Pathways and Genetic Progression Scores. Bioinformatics 2008, 24.
Abstract
Summary: In genetics, many evolutionary pathways can be modeled by the ordered <br>accumulation of permanent changes. Mixture models of mutagenetic trees have <br>been used to describe disease progression in cancer and in HIV. In cancer, <br>progression is modeled by the accumulation of chromosomal gains and losses in <br>tumor cells; in HIV, the accumulation of drug resistance-associated mutations <br>in the viral genome is known to be associated with disease progression. From <br>such evolutionary models, genetic progression scores can be derived that assign <br>measures for the disease state to single patients. Rtreemix is an R package for <br>estimating mixture models of evolutionary pathways from observed <br>cross-sectional data and for estimating associated genetic progression scores. <br>The package also provides extended functionality for estimating confidence <br>intervals for estimated model parameters and for evaluating the stability of <br>the estimated evolutionary mixture models.
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@article{Bogojeska-et-al_Bioinformatics08, TITLE = {Rtreemix: An R Package for Estimating Evolutionary Pathways and Genetic Progression Scores}, AUTHOR = {Bogojeska, Jasmina and Alexa, Adrian and Altmann, Andr{\'e} and Lengauer, Thomas and Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btn410}, DOI = {10.1093/bioinformatics/btn410}, LOCALID = {Local-ID: C125756E0038A185-6B37EB33694127E1C125751200507021-Bogojeska_trees_2008}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {Summary: In genetics, many evolutionary pathways can be modeled by the ordered <br>accumulation of permanent changes. Mixture models of mutagenetic trees have <br>been used to describe disease progression in cancer and in HIV. In cancer, <br>progression is modeled by the accumulation of chromosomal gains and losses in <br>tumor cells; in HIV, the accumulation of drug resistance-associated mutations <br>in the viral genome is known to be associated with disease progression. From <br>such evolutionary models, genetic progression scores can be derived that assign <br>measures for the disease state to single patients. Rtreemix is an R package for <br>estimating mixture models of evolutionary pathways from observed <br>cross-sectional data and for estimating associated genetic progression scores. <br>The package also provides extended functionality for estimating confidence <br>intervals for estimated model parameters and for evaluating the stability of <br>the estimated evolutionary mixture models.}, JOURNAL = {Bioinformatics}, VOLUME = {24}, NUMBER = {20}, PAGES = {2391--2392}, }
Endnote
%0 Journal Article %A Bogojeska, Jasmina %A Alexa, Adrian %A Altmann, Andr&#233; %A Lengauer, Thomas %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Rtreemix: An R Package for Estimating Evolutionary Pathways and Genetic Progression Scores : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1CDD-1 %F EDOC: 428002 %R 10.1093/bioinformatics/btn410 %U http://dx.doi.org/10.1093/bioinformatics/btn410 %F OTHER: Local-ID: C125756E0038A185-6B37EB33694127E1C125751200507021-Bogojeska_trees_2008 %D 2008 %* Review method: peer-reviewed %X Summary: In genetics, many evolutionary pathways can be modeled by the ordered <br>accumulation of permanent changes. Mixture models of mutagenetic trees have <br>been used to describe disease progression in cancer and in HIV. In cancer, <br>progression is modeled by the accumulation of chromosomal gains and losses in <br>tumor cells; in HIV, the accumulation of drug resistance-associated mutations <br>in the viral genome is known to be associated with disease progression. From <br>such evolutionary models, genetic progression scores can be derived that assign <br>measures for the disease state to single patients. Rtreemix is an R package for <br>estimating mixture models of evolutionary pathways from observed <br>cross-sectional data and for estimating associated genetic progression scores. <br>The package also provides extended functionality for estimating confidence <br>intervals for estimated model parameters and for evaluating the stability of <br>the estimated evolutionary mixture models. %J Bioinformatics %V 24 %N 20 %& 2391 %P 2391 - 2392 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btn410
637. Bogojeska J, Lengauer T, Rahnenführer J: Stability Analysis of Mixtures of Mutagenetic Trees. BMC Bioinformatics 2008, 9.
Abstract
BACKGROUND: Mixture models of mutagenetic trees are evolutionary models that <br>capture several pathways of ordered accumulation of genetic events observed in <br>different subsets of patients. They were used to model HIV progression by <br>accumulation of resistance mutations in the viral genome under drug pressure <br>and cancer progression by accumulation of chromosomal aberrations in tumor <br>cells. From the mixture models a genetic progression score (GPS) can be derived <br>that estimates the genetic status of single patients according to the <br>corresponding progression along the tree models. GPS values were shown to have <br>predictive power for estimating drug resistance in HIV or the survival time in <br>cancer. Still, the reliability of the exact values of such complex markers <br>derived from graphical models can be questioned. RESULTS: In a simulation <br>study, we analyzed various aspects of the stability of estimated mutagenetic <br>trees mixture models. It turned out that the induced probabilistic <br>distributions and the tree topologies are recovered with high precision by an <br>EM-like learning algorithm. However, only for models with just one major model <br>component, also GPS values for single patients can be reliably estimated. <br>CONCLUSIONS: It is encouraging that the estimation process of mutagenetic trees <br>mixture models can be performed with high confidence regarding induced <br>probability distributions and the general shape of the tree topologies. For a <br>model with only one major disease progression process, even genetic progression <br>scores for single patients can be reliably estimated. However, for models with <br>more than one relevant component, alternative measures should be introduced for <br>estimating the stage of disease progression.
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@article{Bogojeska_bmc_2008, TITLE = {Stability Analysis of Mixtures of Mutagenetic Trees}, AUTHOR = {Bogojeska, Jasmina and Lengauer, Thomas and Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://dx.doi.org/10.1186/1471-2105-9-165}, DOI = {10.1186/1471-2105-9-165}, LOCALID = {Local-ID: C125756E0038A185-6E2FC2E922E7046BC1257546004D255A-Bogojeska_bmc_2008}, PUBLISHER = {BioMed Central}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {BACKGROUND: Mixture models of mutagenetic trees are evolutionary models that <br>capture several pathways of ordered accumulation of genetic events observed in <br>different subsets of patients. They were used to model HIV progression by <br>accumulation of resistance mutations in the viral genome under drug pressure <br>and cancer progression by accumulation of chromosomal aberrations in tumor <br>cells. From the mixture models a genetic progression score (GPS) can be derived <br>that estimates the genetic status of single patients according to the <br>corresponding progression along the tree models. GPS values were shown to have <br>predictive power for estimating drug resistance in HIV or the survival time in <br>cancer. Still, the reliability of the exact values of such complex markers <br>derived from graphical models can be questioned. RESULTS: In a simulation <br>study, we analyzed various aspects of the stability of estimated mutagenetic <br>trees mixture models. It turned out that the induced probabilistic <br>distributions and the tree topologies are recovered with high precision by an <br>EM-like learning algorithm. However, only for models with just one major model <br>component, also GPS values for single patients can be reliably estimated. <br>CONCLUSIONS: It is encouraging that the estimation process of mutagenetic trees <br>mixture models can be performed with high confidence regarding induced <br>probability distributions and the general shape of the tree topologies. For a <br>model with only one major disease progression process, even genetic progression <br>scores for single patients can be reliably estimated. However, for models with <br>more than one relevant component, alternative measures should be introduced for <br>estimating the stage of disease progression.}, JOURNAL = {BMC Bioinformatics}, VOLUME = {9}, NUMBER = {1}, PAGES = {1--16}, EID = {165}, }
Endnote
%0 Journal Article %A Bogojeska, Jasmina %A Lengauer, Thomas %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Stability Analysis of Mixtures of Mutagenetic Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D09-4 %F EDOC: 428267 %R 10.1186/1471-2105-9-165 %U http://dx.doi.org/10.1186/1471-2105-9-165 %F OTHER: Local-ID: C125756E0038A185-6E2FC2E922E7046BC1257546004D255A-Bogojeska_bmc_2008 %D 2008 %X BACKGROUND: Mixture models of mutagenetic trees are evolutionary models that <br>capture several pathways of ordered accumulation of genetic events observed in <br>different subsets of patients. They were used to model HIV progression by <br>accumulation of resistance mutations in the viral genome under drug pressure <br>and cancer progression by accumulation of chromosomal aberrations in tumor <br>cells. From the mixture models a genetic progression score (GPS) can be derived <br>that estimates the genetic status of single patients according to the <br>corresponding progression along the tree models. GPS values were shown to have <br>predictive power for estimating drug resistance in HIV or the survival time in <br>cancer. Still, the reliability of the exact values of such complex markers <br>derived from graphical models can be questioned. RESULTS: In a simulation <br>study, we analyzed various aspects of the stability of estimated mutagenetic <br>trees mixture models. It turned out that the induced probabilistic <br>distributions and the tree topologies are recovered with high precision by an <br>EM-like learning algorithm. However, only for models with just one major model <br>component, also GPS values for single patients can be reliably estimated. <br>CONCLUSIONS: It is encouraging that the estimation process of mutagenetic trees <br>mixture models can be performed with high confidence regarding induced <br>probability distributions and the general shape of the tree topologies. For a <br>model with only one major disease progression process, even genetic progression <br>scores for single patients can be reliably estimated. However, for models with <br>more than one relevant component, alternative measures should be introduced for <br>estimating the stage of disease progression. %J BMC Bioinformatics %V 9 %N 1 %& 1 %P 1 - 16 %Z sequence number: 165 %I BioMed Central %@ false %U https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-165.pdf
638. Däumer MP, Kaiser R, Klein R, Lengauer T, Thiele B, Thielen A: Inferring Viral Tropism from Genotype with Massively Parallel Sequencing: Qualitative and Quantitative Analysis. Antiviral Therapy 2008.
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@inproceedings{Daumer2008, TITLE = {Inferring Viral Tropism from Genotype with Massively Parallel Sequencing: Qualitative and Quantitative Analysis}, AUTHOR = {D{\"a}umer, Martin P and Kaiser, Rolf and Klein, Rolf and Lengauer, Thomas and Thiele, Bernhard and Thielen, Alexander}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://www.intmedpress.com/Journal%20Management/viewinfo.cfm?viewinfo=3F7451620845260A0143070F4D22491C33782751545247000B5606510B330C15050003421A48470455096B00}, LOCALID = {Local-ID: C125756E0038A185-7A5A4B81CE5E4662C1257546004D1B3C-Daumer2008}, PUBLISHER = {International Medical Press}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Abstracts presented at the XVII International HIV Drug Resistance Workshop}, JOURNAL = {Antiviral Therapy}, VOLUME = {13}, ISSUE = {Suppl.3}, PAGES = {A101--A101}, EID = {Abstract 91}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Generic %A D&#228;umer, Martin P %A Kaiser, Rolf %A Klein, Rolf %A Lengauer, Thomas %A Thiele, Bernhard %A Thielen, Alexander %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inferring Viral Tropism from Genotype with Massively Parallel Sequencing: Qualitative and Quantitative Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17D7-F %F EDOC: 428026 %U http://www.intmedpress.com/Journal%20Management/viewinfo.cfm?viewinfo=3F7451620845260A0143070F4D22491C33782751545247000B5606510B330C15050003421A48470455096B00 %F OTHER: Local-ID: C125756E0038A185-7A5A4B81CE5E4662C1257546004D1B3C-Daumer2008 %D 2008 %Z name of event: XVII International HIV Drug Resistance Workshop %Z date of event: 2008-06-10 - 2008-06-14 %Z place of event: Sitges, Spain %B Abstracts presented at the XVII International HIV Drug Resistance Workshop %J Antiviral Therapy %V 13 %N Suppl.3 %P A101 - A101 %Z sequence number: Abstract 91 %@ false
639. Djoumbou FY: Molecular Dynamics Based Prediction of HIV-1 Drug Resistance. Universität des Saarlandes; 2008.
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@mastersthesis{Djoumbou2008, TITLE = {Molecular Dynamics Based Prediction of {HIV}-1 Drug Resistance}, AUTHOR = {Djoumbou, Feunang Yannick}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Djoumbou, Feunang Yannick %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Molecular Dynamics Based Prediction of HIV-1 Drug Resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDF9-D %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V master %9 master
640. Emig D, Klein K, Kunert A, Mutzel P, Albrecht M: Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events. In MediVis 2008, Fifth International Conference BioMedical Visualization. IEEE Computer Society; 2008.
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@inproceedings{Albrecht2008g, TITLE = {Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events}, AUTHOR = {Emig, Dorothea and Klein, Karsten and Kunert, Anne and Mutzel, Petra and Albrecht, Mario}, LANGUAGE = {eng}, ISBN = {978-0-7695-3284-4}, URL = {http://dx.doi.org/10.1109/MediVis.2008.16}, DOI = {10.1109/MediVis.2008.16}, LOCALID = {Local-ID: C125756E0038A185-060DE047371600D7C125752B005E9DE7-Albrecht2008g}, PUBLISHER = {IEEE Computer Society}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {MediVis 2008, Fifth International Conference BioMedical Visualization}, EDITOR = {Moore, Chris and Grinstein, Georges and Cvek, Urska and Trutschl, Marjan and Dong, Feng}, PAGES = {36--43}, ADDRESS = {London, UK}, }
Endnote
%0 Conference Proceedings %A Emig, Dorothea %A Klein, Karsten %A Kunert, Anne %A Mutzel, Petra %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D5E-6 %F EDOC: 428062 %R 10.1109/MediVis.2008.16 %U http://dx.doi.org/10.1109/MediVis.2008.16 %F OTHER: Local-ID: C125756E0038A185-060DE047371600D7C125752B005E9DE7-Albrecht2008g %D 2008 %B Fifth International Conference BioMedical Visualization %Z date of event: 2008-07-09 - 2008-07-09 %C London, UK %B MediVis 2008 %E Moore, Chris; Grinstein, Georges; Cvek, Urska; Trutschl, Marjan; Dong, Feng %P 36 - 43 %I IEEE Computer Society %@ 978-0-7695-3284-4
641. Emig D, Cline MS, Lengauer T, Albrecht M: Integrating Expression Data with Domain Interaction Networks. Bioinformatics 2008, 24.
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@article{Emig-et-al_Bioinformatics08, TITLE = {Integrating Expression Data with Domain Interaction Networks}, AUTHOR = {Emig, Dorothea and Cline, Melissa S. and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btn437}, DOI = {10.1093/bioinformatics/btn437}, LOCALID = {Local-ID: C125756E0038A185-7CAE6B7AD3EA1068C125752B007C89F2-Albrecht2008j}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Bioinformatics}, VOLUME = {24}, NUMBER = {21}, PAGES = {2546--2548}, }
Endnote
%0 Journal Article %A Emig, Dorothea %A Cline, Melissa S. %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrating Expression Data with Domain Interaction Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1BF6-B %F EDOC: 428061 %R 10.1093/bioinformatics/btn437 %U http://dx.doi.org/10.1093/bioinformatics/btn437 %F OTHER: Local-ID: C125756E0038A185-7CAE6B7AD3EA1068C125752B007C89F2-Albrecht2008j %D 2008 %* Review method: peer-reviewed %J Bioinformatics %V 24 %N 21 %& 2546 %P 2546 - 2548 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btn437
642. Emig D, Cline MS, Klein K, Kunert A, Mutzel P, Lengauer T, Albrecht M: Integrative Visual Analysis of the Effects of Alternative Splicing on Protein Domain Interaction Networks. Journal of Integrative Bioinformatics 2008, 5.
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@article{Albrecht2008h, TITLE = {Integrative Visual Analysis of the Effects of Alternative Splicing on Protein Domain Interaction Networks}, AUTHOR = {Emig, Dorothea and Cline, Melissa S. and Klein, Karsten and Kunert, Anne and Mutzel, Petra and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1613-4516}, DOI = {doi:10.2390/biecoll-jib-2008-101}, LOCALID = {Local-ID: C125756E0038A185-E6694E00F56CAED8C125752B005F119D-Albrecht2008h}, PUBLISHER = {Walter de Gruyter GmbH}, ADDRESS = {Berlin}, YEAR = {2008}, JOURNAL = {Journal of Integrative Bioinformatics}, VOLUME = {5}, NUMBER = {2}, PAGES = {101--115}, }
Endnote
%0 Journal Article %A Emig, Dorothea %A Cline, Melissa S. %A Klein, Karsten %A Kunert, Anne %A Mutzel, Petra %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrative Visual Analysis of the Effects of Alternative Splicing on Protein Domain Interaction Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1BFA-3 %F EDOC: 428060 %R doi:10.2390/biecoll-jib-2008-101 %F OTHER: Local-ID: C125756E0038A185-E6694E00F56CAED8C125752B005F119D-Albrecht2008h %7 2008 %D 2008 %* Review method: peer-reviewed %J Journal of Integrative Bioinformatics %V 5 %N 2 %& 101 %P 101 - 115 %I Walter de Gruyter GmbH %C Berlin %@ false %U https://doi.org/10.1515/jib-2008-101
643. Feuerbach L, Bock C, Halachev K, Buech J, Lengauer T: Towards Comparative Epigenomics: A Software Toolkit For Cross-Species Epigenome Data Analysis. In Abstracts of the 2nd MC-GARD Meeting : Interplay Among Genetics, Epigenetics and Non-coding RNA’s. IOS; 2008. [Cellular Oncology]
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@inproceedings{Feuerbach2008, TITLE = {Towards Comparative Epigenomics: A Software Toolkit For Cross-Species Epigenome Data Analysis}, AUTHOR = {Feuerbach, Lars and Bock, Christoph and Halachev, Konstantin and Buech, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125756E0038A185-DF2AEF4A18B7C00FC1257507004442BB-Feuerbach2008}, PUBLISHER = {IOS}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Abstracts of the 2nd MC-GARD Meeting : Interplay Among Genetics, Epigenetics and Non-coding RNA's}, EDITOR = {Meijer, Gerrit and Ried, Thomas and Giaretti, Walter and Hamilton, Peter}, PAGES = {230--231}, SERIES = {Cellular oncology}, }
Endnote
%0 Conference Proceedings %A Feuerbach, Lars %A Bock, Christoph %A Halachev, Konstantin %A Buech, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards Comparative Epigenomics: A Software Toolkit For Cross-Species Epigenome Data Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D41-4 %F EDOC: 428070 %F OTHER: Local-ID: C125756E0038A185-DF2AEF4A18B7C00FC1257507004442BB-Feuerbach2008 %I IOS %D 2008 %B Untitled Event %Z date of event: 2008-05-04 - 2008-05-07 %C Madrid, Spain %B Abstracts of the 2nd MC-GARD Meeting : Interplay Among Genetics, Epigenetics and Non-coding RNA's %E Meijer, Gerrit; Ried, Thomas; Giaretti, Walter; Hamilton, Peter %P 230 - 231 %I IOS %B Cellular oncology
644. Fischer S: Structure-based Prediction of HIV-1 Drug Resistance. Universität des Saarlandes; 2008.
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@mastersthesis{Fischer2008, TITLE = {Structure-based Prediction of {HIV}-1 Drug Resistance}, AUTHOR = {Fischer, Sandra}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Fischer, Sandra %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structure-based Prediction of HIV-1 Drug Resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDEE-7 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V master %9 master
645. Franke A, Balschun T, Karlsen TH, Sventoraityte J, Nikolaus S, Mayr G, Domingues FS, Albrecht M, Nothnagel M, Ellinghaus D, Sina C, Onnie CM, Weersma RK, Stokkers PCF, Wijmenga C, Gazouli M, Strachan D, McArdle WL, Vermeire S, Rutgeers P, Rosenstiel P, Krawczak M, Vatn MH, Mathew CG, Schreiber S, Moum B, Jahnsen J, Solberg C, Stray N, Henriksen M, et al.: Sequence variants in IL10, ARPC2, and multiple other loci contribute to ulcerative colitis. Nature Genetics 2008, 40.
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@article{Albrecht2008i, TITLE = {Sequence variants in {IL10}, {ARPC2}, and multiple other loci contribute to ulcerative colitis}, AUTHOR = {Franke, Andre and Balschun, Tobias and Karlsen, Tom H. and Sventoraityte, Jurgita and Nikolaus, Susanna and Mayr, Gabriele and Domingues, Francisco S. and Albrecht, Mario and Nothnagel, Michael and Ellinghaus, David and Sina, Christian and Onnie, Clive M. and Weersma, Rinse K. and Stokkers, Pieter C. F. and Wijmenga, Cisca and Gazouli, Maria and Strachan, David and McArdle, Wendy L. and Vermeire, S{\'e}verine and Rutgeers, Paul and Rosenstiel, Philip and Krawczak, Michael and Vatn, Morten H. and Mathew, Christopher G. and Schreiber, Stefan and Moum, Bj{\o}rn and Jahnsen, J{\o}rgen and Solberg, Camilla and Stray, Nj{\aa}l and Henriksen, Magne and Sauar, Jostein and H{\o}ie, Ole}, LANGUAGE = {eng}, ISSN = {1061-4036}, URL = {http://dx.doi.org/10.1038/ng.221}, DOI = {10.1038/ng.221}, LOCALID = {Local-ID: C125756E0038A185-AE4207758495F4CFC125752B0064899F-Albrecht2008i}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Nature Genetics}, VOLUME = {40}, NUMBER = {11}, PAGES = {1319--1323}, }
Endnote
%0 Journal Article %A Franke, Andre %A Balschun, Tobias %A Karlsen, Tom H. %A Sventoraityte, Jurgita %A Nikolaus, Susanna %A Mayr, Gabriele %A Domingues, Francisco S. %A Albrecht, Mario %A Nothnagel, Michael %A Ellinghaus, David %A Sina, Christian %A Onnie, Clive M. %A Weersma, Rinse K. %A Stokkers, Pieter C. F. %A Wijmenga, Cisca %A Gazouli, Maria %A Strachan, David %A McArdle, Wendy L. %A Vermeire, S&#233;verine %A Rutgeers, Paul %A Rosenstiel, Philip %A Krawczak, Michael %A Vatn, Morten H. %A Mathew, Christopher G. %A Schreiber, Stefan %A Moum, Bj&#248;rn %A Jahnsen, J&#248;rgen %A Solberg, Camilla %A Stray, Nj&#229;l %A Henriksen, Magne %A Sauar, Jostein %A H&#248;ie, Ole %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Sequence variants in IL10, ARPC2, and multiple other loci contribute to ulcerative colitis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1CEA-3 %F EDOC: 428075 %R 10.1038/ng.221 %U http://dx.doi.org/10.1038/ng.221 %F OTHER: Local-ID: C125756E0038A185-AE4207758495F4CFC125752B0064899F-Albrecht2008i %D 2008 %* Review method: peer-reviewed %J Nature Genetics %V 40 %N 11 %& 1319 %P 1319 - 1323 %@ false
646. Frishman D, Albrecht M, Blankenburg H, Bork P, Harrington ED, Hermjakob H, Jensen LJ, Juan DA, Lengauer T, Pagel P, Schachter V, Valencia A: Protein-protein interactions: analysis and prediction. In Modern Genome Annotation: The Biosapiens Network. Wien, Austria: Springer; 2008.
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@incollection{Frishman2009, TITLE = {Protein-protein interactions: analysis and prediction}, AUTHOR = {Frishman, Dmitrij and Albrecht, Mario and Blankenburg, Hagen and Bork, Peer and Harrington, Eoghan D. and Hermjakob, Henning and Jensen, Lars J. and Juan, David A. and Lengauer, Thomas and Pagel, Philipp and Schachter, Vincent and Valencia, Alfonso}, LANGUAGE = {eng}, ISBN = {978-3-211-75122-0}, DOI = {10.1007/978-3-211-75123-7_17}, LOCALID = {Local-ID: C125756E0038A185-DB34312C982D374AC125752B007D3C31-Albrecht2008k}, PUBLISHER = {Springer}, ADDRESS = {Wien, Austria}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Modern Genome Annotation: The Biosapiens Network}, EDITOR = {Frishman, Dmitrij and Valencia, Alfonso}, PAGES = {353--412}, }
Endnote
%0 Book Section %A Frishman, Dmitrij %A Albrecht, Mario %A Blankenburg, Hagen %A Bork, Peer %A Harrington, Eoghan D. %A Hermjakob, Henning %A Jensen, Lars J. %A Juan, David A. %A Lengauer, Thomas %A Pagel, Philipp %A Schachter, Vincent %A Valencia, Alfonso %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protein-protein interactions: analysis and prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1CBD-9 %F EDOC: 428080 %F OTHER: Local-ID: C125756E0038A185-DB34312C982D374AC125752B007D3C31-Albrecht2008k %R 10.1007/978-3-211-75123-7_17 %D 2008 %B Modern Genome Annotation: The Biosapiens Network %E Frishman, Dmitrij; Valencia, Alfonso %P 353 - 412 %I Springer %C Wien, Austria %@ 978-3-211-75122-0
647. Hartmann C: Modeling of Flexible Side Chains for Protein-Ligand Docking. Universität des Saarlandes; 2008.
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@phdthesis{HartmannPhD08, TITLE = {Modeling of Flexible Side Chains for Protein-Ligand Docking}, AUTHOR = {Hartmann, Christoph}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-32143}, DOI = {10.22028/D291-25984}, LOCALID = {Local-ID: C125756E0038A185-0030EB3C6BA8ADC1C125759000246714-HartmannPhD08}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Hartmann, Christoph %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Modeling of Flexible Side Chains for Protein-Ligand Docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1AAA-E %F EDOC: 428318 %F OTHER: Local-ID: C125756E0038A185-0030EB3C6BA8ADC1C125759000246714-HartmannPhD08 %R 10.22028/D291-25984 %U urn:nbn:de:bsz:291-scidok-32143 %F OTHER: hdl:20.500.11880/26040 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2010/3214/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
648. Hornstein M, Hoffmann MJ, Alexa A, Yamanaka M, Müller M, Jung V, Rahnenführer J, Schulz WA: Protein phosphatase and TRAIL receptor genes as new candidate tumor genes on chromosome 8p in prostate cancer. Cancer Genomics & Proteomics 2008, 5.
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@article{HornsteinAlexa2008, TITLE = {Protein phosphatase and {TRAIL} receptor genes as new candidate tumor genes on chromosome 8p in prostate cancer}, AUTHOR = {Hornstein, Max and Hoffmann, Michele J. and Alexa, Adrian and Yamanaka, Masanori and M{\"u}ller, Mirko and Jung, Volker and Rahnenf{\"u}hrer, J{\"o}rg and Schulz, Wolfgang A.}, LANGUAGE = {eng}, ISSN = {1109-6535}, URL = {http://www.cgp-journal.com/pastissues/main.php?volume=5&issue=2}, LOCALID = {Local-ID: C125756E0038A185-445F5D1505484E6DC125755C0043F15D-HornsteinAlexa2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Cancer Genomics \& Proteomics}, VOLUME = {5}, NUMBER = {2}, PAGES = {123--136}, }
Endnote
%0 Journal Article %A Hornstein, Max %A Hoffmann, Michele J. %A Alexa, Adrian %A Yamanaka, Masanori %A M&#252;ller, Mirko %A Jung, Volker %A Rahnenf&#252;hrer, J&#246;rg %A Schulz, Wolfgang A. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protein phosphatase and TRAIL receptor genes as new candidate tumor genes on chromosome 8p in prostate cancer : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1CBB-D %F EDOC: 428107 %U http://www.cgp-journal.com/pastissues/main.php?volume=5&issue=2 %F OTHER: Local-ID: C125756E0038A185-445F5D1505484E6DC125755C0043F15D-HornsteinAlexa2008 %D 2008 %* Review method: peer-reviewed %J Cancer Genomics & Proteomics %V 5 %N 2 %& 123 %P 123 - 136 %@ false
649. Jenkinson AM, Albrecht M, Birney E, Blankenburg H, Down T, Finn RD, Hermjakob H, Hubbard TJP, Jimenez RC, Jones P, Kähäri A, Kulesha E, Macías JR, Reeves GA, Prlić A: Integrating biological data - the Distributed Annotation System. BMC Bioinformatics 2008, 9(Suppl. 8).
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@article{Albrecht2008f, TITLE = {Integrating biological data -- the Distributed Annotation System}, AUTHOR = {Jenkinson, Andrew M. and Albrecht, Mario and Birney, Ewan and Blankenburg, Hagen and Down, Thomas and Finn, Robert D. and Hermjakob, Henning and Hubbard, Tim J. P. and Jimenez, Rafael C. and Jones, Philip and K{\"a}h{\"a}ri, Andreas and Kulesha, Eugene and Mac{\'i}as, Jos{\'e} R. and Reeves, Gabrielle A. and Prli{\'c}, Andreas}, LANGUAGE = {eng}, ISSN = {1471-2105}, URL = {http://dx.doi.org/10.1186/1471-2105-9-S8-S3}, DOI = {10.1186/1471-2105-9-S8-S3}, LOCALID = {Local-ID: C125756E0038A185-9AA8F9DAE2673611C125752B005DA191-Albrecht2008f}, YEAR = {2008}, DATE = {2008}, JOURNAL = {BMC Bioinformatics}, VOLUME = {9}, NUMBER = {Suppl. 8}, PAGES = {S3.1--7}, }
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%0 Journal Article %A Jenkinson, Andrew M. %A Albrecht, Mario %A Birney, Ewan %A Blankenburg, Hagen %A Down, Thomas %A Finn, Robert D. %A Hermjakob, Henning %A Hubbard, Tim J. P. %A Jimenez, Rafael C. %A Jones, Philip %A K&#228;h&#228;ri, Andreas %A Kulesha, Eugene %A Mac&#237;as, Jos&#233; R. %A Reeves, Gabrielle A. %A Prli&#263;, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society %T Integrating biological data - the Distributed Annotation System : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1BF4-F %F EDOC: 428276 %R 10.1186/1471-2105-9-S8-S3 %U http://dx.doi.org/10.1186/1471-2105-9-S8-S3 %F OTHER: Local-ID: C125756E0038A185-9AA8F9DAE2673611C125752B005DA191-Albrecht2008f %D 2008 %J BMC Bioinformatics %V 9 %N Suppl. 8 %& S3.1 %P S3.1 - 7 %@ false
650. Kircher M, Bock C, Paulsen M: Structural conservation versus functional divergence of maternally expressed microRNAs in the Dlk1/Gtl2 imprinting region. BMC Genomic 2008, 9.
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@article{Kircher2008, TITLE = {Structural conservation versus functional divergence of maternally expressed {microRNAs} in the Dlk1/Gtl2 imprinting region}, AUTHOR = {Kircher, Martin and Bock, Christoph and Paulsen, Martina}, LANGUAGE = {eng}, ISSN = {1471-2164}, URL = {http://dx.doi.org/10.1186/1471-2164-9-346}, DOI = {10.1186/1471-2164-9-346}, LOCALID = {Local-ID: C125756E0038A185-2EFB94F82E251F8CC125757B002F31D7-Kircher2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {BMC Genomic}, VOLUME = {9}, PAGES = {346.1--346.19}, }
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%0 Journal Article %A Kircher, Martin %A Bock, Christoph %A Paulsen, Martina %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural conservation versus functional divergence of maternally expressed microRNAs in the Dlk1/Gtl2 imprinting region : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D0E-9 %F EDOC: 428277 %R 10.1186/1471-2164-9-346 %U http://dx.doi.org/10.1186/1471-2164-9-346 %F OTHER: Local-ID: C125756E0038A185-2EFB94F82E251F8CC125757B002F31D7-Kircher2008 %D 2008 %J BMC Genomic %V 9 %& 346.1 %P 346.1 - 346.19 %@ false
651. Lisurek M, Simgen B, Antes I, Bernhardt R: Theoretical and Experimental Evaluation of a CYP106A2 Low Homology Model and Production of Mutants with Changed Activity and Selectivity of Hydroxylation. ChemBioChem 2008, 9.
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@article{Lisurek2008, TITLE = {Theoretical and Experimental Evaluation of a {CYP106A2} Low Homology Model and Production of Mutants with Changed Activity and Selectivity of Hydroxylation}, AUTHOR = {Lisurek, Michael and Simgen, Birgit and Antes, Iris and Bernhardt, Rita}, LANGUAGE = {eng}, ISSN = {1439-4227}, URL = {http://dx.doi.org/10.1002/cbic.200700670}, DOI = {10.1002/cbic.200700670}, LOCALID = {Local-ID: C125756E0038A185-0F431653A2900B9DC125757C002E7B38-Lisurek2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {ChemBioChem}, VOLUME = {9}, NUMBER = {9}, PAGES = {1439--1449}, }
Endnote
%0 Journal Article %A Lisurek, Michael %A Simgen, Birgit %A Antes, Iris %A Bernhardt, Rita %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Theoretical and Experimental Evaluation of a CYP106A2 Low Homology Model and Production of Mutants with Changed Activity and Selectivity of Hydroxylation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D30-A %F EDOC: 428149 %R 10.1002/cbic.200700670 %U http://dx.doi.org/10.1002/cbic.200700670 %F OTHER: Local-ID: C125756E0038A185-0F431653A2900B9DC125757C002E7B38-Lisurek2008 %D 2008 %* Review method: peer-reviewed %J ChemBioChem %V 9 %N 9 %& 1439 %P 1439 - 1449 %@ false
652. Low AJ, Marchant D, Brumme CJ, Brumme ZL, Dong W, Sing T, Hogg RS, Montaner JSG, Gill V, Cheung PK, Harrigan PR: CD4-Dependent Characteristics of Coreceptor Use and HIV Type 1 V3 Sequence in a Large Population of Therapy-Naive Individuals. AIDS Research and Human Retroviruses 2008, 24.
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@article{Low2008, TITLE = {{CD4}-Dependent Characteristics of Coreceptor Use and {HIV} Type 1 V3 Sequence in a Large Population of Therapy-Naive Individuals}, AUTHOR = {Low, Andrew J. and Marchant, David and Brumme, Chanson J. and Brumme, Zabrina L. and Dong, Winnie and Sing, Tobias and Hogg, Robert S. and Montaner, Julio S. G. and Gill, Vikram and Cheung, Peter K. and Harrigan, P. Richard}, LANGUAGE = {eng}, ISBN = {10.1089/aid.2007.0140}, URL = {http://dx.doi.org/10.1089/aid.2007.0140}, DOI = {10.1089/aid.2007.0140}, LOCALID = {Local-ID: C125756E0038A185-BAC98E9D9729AA81C125757C003B6F16-Low2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {AIDS Research and Human Retroviruses}, VOLUME = {24}, NUMBER = {2}, PAGES = {219--228}, }
Endnote
%0 Journal Article %A Low, Andrew J. %A Marchant, David %A Brumme, Chanson J. %A Brumme, Zabrina L. %A Dong, Winnie %A Sing, Tobias %A Hogg, Robert S. %A Montaner, Julio S. G. %A Gill, Vikram %A Cheung, Peter K. %A Harrigan, P. Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T CD4-Dependent Characteristics of Coreceptor Use and HIV Type 1 V3 Sequence in a Large Population of Therapy-Naive Individuals : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1B2C-2 %F EDOC: 428151 %R 10.1089/aid.2007.0140 %U http://dx.doi.org/10.1089/aid.2007.0140 %F OTHER: Local-ID: C125756E0038A185-BAC98E9D9729AA81C125757C003B6F16-Low2008 %D 2008 %* Review method: peer-reviewed %J AIDS Research and Human Retroviruses %V 24 %N 2 %& 219 %P 219 - 228 %@ 10.1089/aid.2007.0140
653. Lucas S, Heim R, Negri M, Antes I, Ries C, Schewe KE, Bisi A, Gobbi S, Hartmann RW: Novel Aldosterone Synthase Inhibitors with Extended Carbocyclic Skeleton by a Combined Ligand-Based and Structure-Based Drug Design Approach. Journal of Medicinal Chemistry 2008, 51.
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@article{Lucas2008, TITLE = {Novel Aldosterone Synthase Inhibitors with Extended Carbocyclic Skeleton by a Combined Ligand-Based and Structure-Based Drug Design Approach}, AUTHOR = {Lucas, Simon and Heim, Ralf and Negri, Matthias and Antes, Iris and Ries, Christina and Schewe, Katarzyna E. and Bisi, Alessandra and Gobbi, Silvia and Hartmann, Rolf W.}, LANGUAGE = {eng}, ISSN = {0022-2623}, URL = {http://dx.doi.org/10.1021/jm800683c}, DOI = {10.1021/jm800683c}, LOCALID = {Local-ID: C125756E0038A185-61B678FA5F74B79BC125757C003F8447-Lucas2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {51}, NUMBER = {19}, PAGES = {6138--6149}, }
Endnote
%0 Journal Article %A Lucas, Simon %A Heim, Ralf %A Negri, Matthias %A Antes, Iris %A Ries, Christina %A Schewe, Katarzyna E. %A Bisi, Alessandra %A Gobbi, Silvia %A Hartmann, Rolf W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Novel Aldosterone Synthase Inhibitors with Extended Carbocyclic Skeleton by a Combined Ligand-Based and Structure-Based Drug Design Approach : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C68-5 %F EDOC: 428152 %R 10.1021/jm800683c %U http://dx.doi.org/10.1021/jm800683c %F OTHER: Local-ID: C125756E0038A185-61B678FA5F74B79BC125757C003F8447-Lucas2008 %D 2008 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 51 %N 19 %& 6138 %P 6138 - 6149 %@ false
654. Maydt J: Analysis of recombination in Molecular Sequence Data. Universität des Saarlandes; 2008.
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@phdthesis{MaydtPhD08, TITLE = {Analysis of recombination in Molecular Sequence Data}, AUTHOR = {Maydt, Jochen}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-41010}, DOI = {10.22028/D291-26101}, LOCALID = {Local-ID: C125756E0038A185-6F64DF58B58DF213C12575900028AFB3-MaydtPhD08}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Maydt, Jochen %Y Lengauer, Thomas %A referee: Hein, Jotun %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Analysis of recombination in Molecular Sequence Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A96-9 %F EDOC: 428304 %F OTHER: Local-ID: C125756E0038A185-6F64DF58B58DF213C12575900028AFB3-MaydtPhD08 %R 10.22028/D291-26101 %U urn:nbn:de:bsz:291-scidok-41010 %F OTHER: hdl:20.500.11880/26157 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2011/4101/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
655. Moores A, Thielen A, Dong W, Low AJ, Woods C, Jensen M, Wynhoven B, Chan D, Glascock C, Harrigan PR: Improved Detection of X4 Virus by V3 Genotyping: Application to Plasma RNA and Proviral DNA. Antiviral Therapy 2008.
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@inproceedings{Moores2008, TITLE = {Improved Detection of {X4} Virus by {V3} Genotyping: Application to Plasma {RNA} and Proviral {DNA}}, AUTHOR = {Moores, Andrew and Thielen, Alexander and Dong, Winnie and Low, Andrew J. and Woods, Conan and Jensen, Mark and Wynhoven, Brian and Chan, Dennison and Glascock, Christopher and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44}, LOCALID = {Local-ID: C125756E0038A185-332CEC0F53742872C1257546004C2537-Moores2008}, PUBLISHER = {International Medical Press}, YEAR = {2008}, BOOKTITLE = {Abstracts presented at the XVII International HIV Drug Resistance Workshop}, JOURNAL = {Antiviral Therapy}, VOLUME = {13}, ISSUE = {Suppl.3}, PAGES = {A99--A99}, EID = {Abstract 89}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Generic %A Moores, Andrew %A Thielen, Alexander %A Dong, Winnie %A Low, Andrew J. %A Woods, Conan %A Jensen, Mark %A Wynhoven, Brian %A Chan, Dennison %A Glascock, Christopher %A Harrigan, P. Richard %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Improved Detection of X4 Virus by V3 Genotyping: Application to Plasma RNA and Proviral DNA : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17CF-3 %F EDOC: 428169 %U http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44 %F OTHER: Local-ID: C125756E0038A185-332CEC0F53742872C1257546004C2537-Moores2008 %D 2008 %Z name of event: XVII International HIV Drug Resistance WorkshopUntitled Event %Z date of event: 2008-06-10 - 2008-06-14 %Z place of event: Sitges, Spain %B Abstracts presented at the XVII International HIV Drug Resistance Workshop %J Antiviral Therapy %V 13 %N Suppl.3 %P A99 - A99 %Z sequence number: Abstract 89 %@ false
656. Müller F: Inferring Virological Response to Antiretroviral Combination Therapy Based on Past Treatment Lines. Universität des Saarlandes; 2008.
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@mastersthesis{FMueller2008_bachelor, TITLE = {Inferring Virological Response to Antiretroviral Combination Therapy Based on Past Treatment Lines}, AUTHOR = {M{\"u}ller, Fabian}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A M&#252;ller, Fabian %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inferring Virological Response to Antiretroviral Combination Therapy Based on Past Treatment Lines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-F45C-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V bachelor %9 bachelor
657. Obermeier M, Berg T, Sichtig N, Braun P, Däumer M, Walter H, Noah C, Wolf E, Müller H, Stürmer M, Thielen A, Kaiser R: Determination of HIV-1 Co-receptor Usage in German patients – Comparison of Genotypic Methods with the TROFILE® Phenotypic Assay. Journal of the International AIDS Society 2008.
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@inproceedings{Obermeier2008Glasgow, TITLE = {Determination of {HIV-1} Co-receptor Usage in German patients -- Comparison of Genotypic Methods with the {TROFILE}\textregistered Phenotypic Assay}, AUTHOR = {Obermeier, Martin and Berg, Thomas and Sichtig, Nadine and Braun, Patrick and D{\"a}umer, Martin and Walter, Hauke and Noah, Christian and Wolf, Eva and M{\"u}ller, Harm and St{\"u}rmer, Martin and Thielen, Alexander and Kaiser, Rolf}, LANGUAGE = {eng}, URL = {http://www.biomedcentral.com/content/pdf/1758-2652-11-s1-p201.pdf}, DOI = {10.1186/1758-2652-11-S1-P201}, LOCALID = {Local-ID: C125756E0038A185-56E99F0A8B46ACDFC1257546004BB273-Obermeier2008Glasgow}, YEAR = {2008}, JOURNAL = {Journal of the International AIDS Society}, VOLUME = {11}, ISSUE = {Suppl.1}, EID = {P201}, ADDRESS = {Glasgow, UK}, }
Endnote
%0 Generic %A Obermeier, Martin %A Berg, Thomas %A Sichtig, Nadine %A Braun, Patrick %A D&#228;umer, Martin %A Walter, Hauke %A Noah, Christian %A Wolf, Eva %A M&#252;ller, Harm %A St&#252;rmer, Martin %A Thielen, Alexander %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Determination of HIV-1 Co-receptor Usage in German patients &#8211; Comparison of Genotypic Methods with the TROFILE&#174; Phenotypic Assay : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17DE-1 %F EDOC: 428185 %R 10.1186/1758-2652-11-S1-P201 %U http://www.biomedcentral.com/content/pdf/1758-2652-11-s1-p201.pdf %F OTHER: Local-ID: C125756E0038A185-56E99F0A8B46ACDFC1257546004BB273-Obermeier2008Glasgow %D 2008 %8 10.11.2008 %Z name of event: Ninth International Congress on Drug Therapy in HIV Infection %Z date of event: 2008-11-09 - 2008-11-13 %Z place of event: Glasgow, UK %J Journal of the International AIDS Society %V 11 %N Suppl.1 %Z sequence number: P201
658. Obermeier M, Sichtig N, Braun P, Däumer M, Walter H, Noah C, Wolf E, Müller H, Stürmer M, Kaiser R, Thielen A: Determination of HIV-1 Coreceptor Usage in German Patients - Comparison of Genotypic Methods with the TROFILE Phenotypic Assay. Antiviral Therapy 2008.
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@inproceedings{Obermeier2008, TITLE = {Determination of {HIV-1} Coreceptor Usage in {German} Patients -- Comparison of Genotypic Methods with the {TROFILE} Phenotypic Assay}, AUTHOR = {Obermeier, Martin and Sichtig, Nadine and Braun, Patrick and D{\"a}umer, Martin and Walter, Hauke and Noah, Christian and Wolf, Eva and M{\"u}ller, Harm and St{\"u}rmer, Martin and Kaiser, Rolf and Thielen, Alexander}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44}, LOCALID = {Local-ID: C125756E0038A185-B7E944E818C62C9BC1257546004C1D91-Obermeier2008}, PUBLISHER = {International Medical Press}, YEAR = {2008}, BOOKTITLE = {Abstracts presented at the XVII International HIV Drug Resistance Workshop}, JOURNAL = {Antiviral Therapy}, VOLUME = {13}, ISSUE = {Suppl.3}, PAGES = {A112--A112}, EID = {Abstract 102}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Generic %A Obermeier, Martin %A Sichtig, Nadine %A Braun, Patrick %A D&#228;umer, Martin %A Walter, Hauke %A Noah, Christian %A Wolf, Eva %A M&#252;ller, Harm %A St&#252;rmer, Martin %A Kaiser, Rolf %A Thielen, Alexander %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Determination of HIV-1 Coreceptor Usage in German Patients - Comparison of Genotypic Methods with the TROFILE Phenotypic Assay : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17E0-A %F EDOC: 428186 %U http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44 %F OTHER: Local-ID: C125756E0038A185-B7E944E818C62C9BC1257546004C1D91-Obermeier2008 %D 2008 %Z name of event: XVII International HIV Drug Resistance Workshop %Z date of event: 2008-06-10 - 2008-06-14 %Z place of event: Sitges, Spain %B Abstracts presented at the XVII International HIV Drug Resistance Workshop %J Antiviral Therapy %V 13 %N Suppl.3 %P A112 - A112 %Z sequence number: Abstract 102 %@ false
659. Perner J: Semi-supervised Learning for Predicting Anti-HIV Drug Resistance. Universität des Saarlandes; 2008.
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@mastersthesis{Perner2008_bachelor, TITLE = {Semi-supervised Learning for Predicting Anti-{HIV} Drug Resistance}, AUTHOR = {Perner, Juliane}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Perner, Juliane %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Semi-supervised Learning for Predicting Anti-HIV Drug Resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA42-0 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V bachelor %9 bachelor
660. Plotz G, Raedle J, Spina A, Welsch C, Stallmach A, Zeuzem S, Schmidt C: Evaluation of the MLH1 I219V Alteration in DNA Mismatch Repair Activity and Ulcerative Colitis. Inflammatory Bowel Diseases 2008, 14.
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@article{Plotz2008, TITLE = {Evaluation of the {MLH1} {I219V} Alteration in {DNA} Mismatch Repair Activity and Ulcerative Colitis}, AUTHOR = {Plotz, Guido and Raedle, Jochen and Spina, Anna and Welsch, Christoph and Stallmach, Andreas and Zeuzem, Stefan and Schmidt, Carsten}, LANGUAGE = {eng}, ISSN = {1078-0998}, URL = {http://dx.doi.org/10.1002/ibd.20358}, DOI = {10.1002/ibd.20358}, LOCALID = {Local-ID: C125756E0038A185-0739533DCD6B4925C125757E003C27F4-Plotz2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Inflammatory Bowel Diseases}, VOLUME = {14}, NUMBER = {5}, PAGES = {605--611}, }
Endnote
%0 Journal Article %A Plotz, Guido %A Raedle, Jochen %A Spina, Anna %A Welsch, Christoph %A Stallmach, Andreas %A Zeuzem, Stefan %A Schmidt, Carsten %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Evaluation of the MLH1 I219V Alteration in DNA Mismatch Repair Activity and Ulcerative Colitis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1B8B-C %F EDOC: 428192 %R 10.1002/ibd.20358 %U http://dx.doi.org/10.1002/ibd.20358 %F OTHER: Local-ID: C125756E0038A185-0739533DCD6B4925C125757E003C27F4-Plotz2008 %D 2008 %* Review method: peer-reviewed %J Inflammatory Bowel Diseases %V 14 %N 5 %& 605 %P 605 - 611 %@ false
661. Rosen-Zvi M, Schülter E, Altmann A, Sierra-Aragon S, Zazzi M, Sönnerborg A, Oette M, Lengauer T, Kaiser R: Sustaining Lamivudine/Emtricitabine, Abacavir, Zidovudine or Atazanavir from a Previous Treatment Shows a Clinical Benefit. Antiviral Therapy 2008.
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@inproceedings{RosenZvi2008IDRW, TITLE = {Sustaining Lamivudine/Emtricitabine, Abacavir, Zidovudine or Atazanavir from a Previous Treatment Shows a Clinical Benefit}, AUTHOR = {Rosen-Zvi, Michal and Sch{\"u}lter, Eugen and Altmann, Andre and Sierra-Aragon, Saleta and Zazzi, Maurizio and S{\"o}nnerborg, Anders and Oette, Mark and Lengauer, Thomas and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44}, LOCALID = {Local-ID: C125756E0038A185-5013764FF226D126C1257546004D668F-RosenZvi2008IDRW}, PUBLISHER = {International Medical Press}, YEAR = {2008}, BOOKTITLE = {Abstracts presented at the XVII International HIV Drug Resistance Workshop}, JOURNAL = {Antiviral Therapy}, VOLUME = {13}, ISSUE = {Suppl.3}, PAGES = {A36--A36}, EID = {Abstract 79}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Generic %A Rosen-Zvi, Michal %A Sch&#252;lter, Eugen %A Altmann, Andre %A Sierra-Aragon, Saleta %A Zazzi, Maurizio %A S&#246;nnerborg, Anders %A Oette, Mark %A Lengauer, Thomas %A Kaiser, Rolf %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Sustaining Lamivudine/Emtricitabine, Abacavir, Zidovudine or Atazanavir from a Previous Treatment Shows a Clinical Benefit : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17E8-9 %F EDOC: 428202 %U http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44 %F OTHER: Local-ID: C125756E0038A185-5013764FF226D126C1257546004D668F-RosenZvi2008IDRW %D 2008 %Z name of event: XVII International HIV Drug Resistance Workshop %Z date of event: 2008-06-10 - 2008-06-14 %Z place of event: Sitges, Spain %B Abstracts presented at the XVII International HIV Drug Resistance Workshop %J Antiviral Therapy %V 13 %N Suppl.3 %P A36 - A36 %Z sequence number: Abstract 79 %@ false
662. Rosen-Zvi M, Altmann A, Prosperi M, Aharoni E, Neuvirth H, Sönnerborg A, Schülter E, Struck D, Peres Y, Incardona F, Kaiser R, Zazzi M, Lengauer T: Selecting Anti-HIV Therapies based on a Variety of Genomic and Clinical Factors. In Bioinformatics (Proc ISMB 2008). Volume 24. Oxford University Press; 2008.
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@inproceedings{Rosen2008a, TITLE = {Selecting Anti-{HIV} Therapies based on a Variety of Genomic and Clinical Factors}, AUTHOR = {Rosen-Zvi, Michal and Altmann, Andre and Prosperi, Mattia and Aharoni, Ehud and Neuvirth, Hani and S{\"o}nnerborg, Anders and Sch{\"u}lter, Eugen and Struck, Daniel and Peres, Yardena and Incardona, Francesca and Kaiser, Rolf and Zazzi, Maurizio and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btn141}, DOI = {10.1093/bioinformatics/btn141}, LOCALID = {Local-ID: C125756E0038A185-2B507EB7E868B673C125750D006E9FD1-Rosen2008a}, PUBLISHER = {Oxford University Press}, PUBLISHER = {Oxford University Press}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {ISMB 2008 Conference Proceedings}, EDITOR = {Valencia, Alfonso and Cases, Ildefonso}, PAGES = {i399--i406}, JOURNAL = {Bioinformatics (Proc. ISMB)}, VOLUME = {24}, ISSUE = {13}, ADDRESS = {Toronto, Canada}, }
Endnote
%0 Conference Proceedings %A Rosen-Zvi, Michal %A Altmann, Andre %A Prosperi, Mattia %A Aharoni, Ehud %A Neuvirth, Hani %A S&#246;nnerborg, Anders %A Sch&#252;lter, Eugen %A Struck, Daniel %A Peres, Yardena %A Incardona, Francesca %A Kaiser, Rolf %A Zazzi, Maurizio %A Lengauer, Thomas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Selecting Anti-HIV Therapies based on a Variety of Genomic and Clinical Factors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1CE6-B %F EDOC: 428201 %R 10.1093/bioinformatics/btn141 %U http://dx.doi.org/10.1093/bioinformatics/btn141 %F OTHER: Local-ID: C125756E0038A185-2B507EB7E868B673C125750D006E9FD1-Rosen2008a %D 2008 %B 16th Annual International Conference on Intelligent Systems for Molecular Biology %Z date of event: 2008-07-19 - 2008-07-23 %C Toronto, Canada %B ISMB 2008 Conference Proceedings %E Valencia, Alfonso; Cases, Ildefonso %P i399 - i406 %I Oxford University Press %J Bioinformatics %V 24 %N 13 %I Oxford University Press %@ false
663. Saigo H, Tsuda K: Iterative Subgraph Mining for Principal Component Analysis. In Proceedings of the IEEE International Conference on Data Mining (ICDM2008). IEEE Computer Society; 2008.
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@inproceedings{Saigo2008a, TITLE = {Iterative Subgraph Mining for Principal Component Analysis.}, AUTHOR = {Saigo, Hiroto and Tsuda, Koji}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125756E0038A185-BBDA67E6A3D20574C1257505005B12B0-Saigo2008a}, PUBLISHER = {IEEE Computer Society}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Proceedings of the IEEE International Conference on Data Mining (ICDM2008)}, EDITOR = {Giannotti, Fosca and Gunopulos, Dimitrios}, }
Endnote
%0 Conference Proceedings %A Saigo, Hiroto %A Tsuda, Koji %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Iterative Subgraph Mining for Principal Component Analysis. : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C02-9 %F EDOC: 428207 %F OTHER: Local-ID: C125756E0038A185-BBDA67E6A3D20574C1257505005B12B0-Saigo2008a %I IEEE Computer Society %D 2008 %B Untitled Event %Z date of event: 2008-12-15 - 2008-12-19 %C Pisa, Italy %B Proceedings of the IEEE International Conference on Data Mining (ICDM2008) %E Giannotti, Fosca; Gunopulos, Dimitrios %I IEEE Computer Society
664. Sander O: Structural Descriptors for the Analysis of Protein Structure, Function, and Evolution. Universität des Saarlandes; 2008.
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@phdthesis{SanderPhD08, TITLE = {Structural Descriptors for the Analysis of Protein Structure, Function, and Evolution}, AUTHOR = {Sander, Oliver}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125756E0038A185-5CD0E28B923DA57DC125759000288D38-SanderPhD08}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Sander, Oliver %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Structural Descriptors for the Analysis of Protein Structure, Function, and Evolution : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1A94-D %F EDOC: 428322 %F OTHER: Local-ID: C125756E0038A185-5CD0E28B923DA57DC125759000288D38-SanderPhD08 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd
665. Sander O, Domingues FS, Zhu H, Lengauer T, Sommer I: Structural Descriptors of Protein-protein Binding Sites. In Proceedings of 6th Asia-Pacific Bioinformatics Conference (APBC 2008). Imperial College Press; 2008. [Series on Advances in Bioinformatics and Computational Biolgoy]
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@inproceedings{Sander-et-al_APBC08, TITLE = {Structural Descriptors of Protein-protein Binding Sites}, AUTHOR = {Sander, Oliver and Domingues, Francisco S. and Zhu, Hongbo and Lengauer, Thomas and Sommer, Ingolf}, LANGUAGE = {eng}, ISSN = {1751-6404}, ISBN = {978-1-84816-108-5}, DOI = {10.1142/9781848161092_0011}, LOCALID = {Local-ID: C125756E0038A185-D9FA9F827F5FBCBFC1257505004EAE44-Sander2008}, PUBLISHER = {Imperial College Press}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Proceedings of 6th Asia-Pacific Bioinformatics Conference (APBC 2008)}, EDITOR = {Brazma, Alvis and Miyano, Satoru and Akutsu, Tatsuya}, PAGES = {79--88}, SERIES = {Series on Advances in Bioinformatics and Computational Biolgoy}, ADDRESS = {Kyoto, Japan}, }
Endnote
%0 Conference Proceedings %A Sander, Oliver %A Domingues, Francisco S. %A Zhu, Hongbo %A Lengauer, Thomas %A Sommer, Ingolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural Descriptors of Protein-protein Binding Sites : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D10-1 %F EDOC: 428209 %F OTHER: Local-ID: C125756E0038A185-D9FA9F827F5FBCBFC1257505004EAE44-Sander2008 %R 10.1142/9781848161092_0011 %D 2008 %B 6th Asia-Pacific Bioinformatics Conference %Z date of event: 2008-01-14 - 2008-01-17 %C Kyoto, Japan %B Proceedings of 6th Asia-Pacific Bioinformatics Conference %E Brazma, Alvis; Miyano, Satoru; Akutsu, Tatsuya %P 79 - 88 %I Imperial College Press %@ 978-1-84816-108-5 %B Series on Advances in Bioinformatics and Computational Biolgoy %@ false
666. Sander O, Altmann A, Lengauer T: Computational Analysis of Covariation and Interactions Between HIV-1 Reverse Transcriptase and Integrase. Reviews in Antiviral Therapy 2008.
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@inproceedings{Sander2008EDRW, TITLE = {Computational Analysis of Covariation and Interactions Between {HIV-1} Reverse Transcriptase and Integrase}, AUTHOR = {Sander, Oliver and Altmann, Andre and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1872-437X}, LOCALID = {Local-ID: C125756E0038A185-F1EAE2F281181DFCC1257546004DE259-Sander2008EDRW}, PUBLISHER = {Virology Education}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Reviews in Antiviral Therapy}, VOLUME = {2008}, ISSUE = {2}, PAGES = {113--114}, }
Endnote
%0 Generic %A Sander, Oliver %A Altmann, Andre %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Analysis of Covariation and Interactions Between HIV-1 Reverse Transcriptase and Integrase : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17DC-5 %F EDOC: 428208 %F OTHER: Local-ID: C125756E0038A185-F1EAE2F281181DFCC1257546004DE259-Sander2008EDRW %D 2008 %Z name of event: Untitled Event %Z date of event: 2008-03-26 - 2008-03-28 %Z place of event: Budapest, Hungary %J Reviews in Antiviral Therapy %V 2008 %N 2 %P 113 - 114 %@ false
667. Schelhorn S-E, Lengauer T, Albrecht M: An Integrative Approach for Predicting Interactions of Protein Regions. Bioinformatics (Proc ECCB 2008) 2008, 24.
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@article{Albrecht2008l, TITLE = {An Integrative Approach for Predicting Interactions of Protein Regions}, AUTHOR = {Schelhorn, Sven-Eric and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, URL = {http://dx.doi.org/10.1093/bioinformatics/btn290}, DOI = {10.1093/bioinformatics/btn290}, LOCALID = {Local-ID: C125756E0038A185-B2A0CDBC092DA893C125752C0001A4CB-Albrecht2008l}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Bioinformatics (Proc. ECCB)}, VOLUME = {24}, NUMBER = {16}, PAGES = {i35--i41}, BOOKTITLE = {ECCB'08: Proceedings, Seventh European Conference on Computational Biology}, }
Endnote
%0 Journal Article %A Schelhorn, Sven-Eric %A Lengauer, Thomas %A Albrecht, Mario %+ Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An Integrative Approach for Predicting Interactions of Protein Regions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1AE7-6 %F EDOC: 428212 %R 10.1093/bioinformatics/btn290 %U http://dx.doi.org/10.1093/bioinformatics/btn290 %F OTHER: Local-ID: C125756E0038A185-B2A0CDBC092DA893C125752C0001A4CB-Albrecht2008l %D 2008 %* Review method: peer-reviewed %J Bioinformatics %V 24 %N 16 %& i35 %P i35 - i41 %I Oxford University Press %C Oxford %@ false %B ECCB'08: Proceedings, Seventh European Conference on Computational Biology %O ECCB 2008 ECCB'08 22-26 September 2008, Cagliari, Italy
668. Schlicker A, Albrecht M: FunSimMat: a comprehensive functional similarity database. Nucleic Acids Research 2008, 36(Database Issue).
Abstract
Functional similarity based on Gene Ontology (GO) annotation is used in diverse applications like gene clustering, gene expression data analysis, protein interaction prediction and evaluation. However, there exists no comprehensive resource of functional similarity values although such a database would facilitate the use of functional similarity measures in different applications. Here, we describe FunSimMat (Functional Similarity Matrix, http://funsimmat.bioinf.mpi-inf.mpg.de/), a large new database that provides several different semantic similarity measures for GO terms. It offers various precomputed functional similarity values for proteins contained in UniProtKB and for protein families in Pfam and SMART. The web interface allows users to efficiently perform both semantic similarity searches with GO terms and functional similarity searches with proteins or protein families. All results can be downloaded in tab-delimited files for use with other tools. An additional XML–RPC interface gives automatic online access to FunSimMat for programs and remote services.
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@article{Albrecht2008a, TITLE = {{FunSimMat}: a comprehensive functional similarity database}, AUTHOR = {Schlicker, Andreas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {0305-1048}, URL = {http://dx.doi.org/10.1093/nar/gkm806}, DOI = {10.1093/nar/gkm806}, LOCALID = {Local-ID: C125756E0038A185-4EC5F9537DF4FB41C12573AE0054CD3A-Albrecht2008a}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {Functional similarity based on Gene Ontology (GO) annotation is used in diverse applications like gene clustering, gene expression data analysis, protein interaction prediction and evaluation. However, there exists no comprehensive resource of functional similarity values although such a database would facilitate the use of functional similarity measures in different applications. Here, we describe FunSimMat (Functional Similarity Matrix, http://funsimmat.bioinf.mpi-inf.mpg.de/), a large new database that provides several different semantic similarity measures for GO terms. It offers various precomputed functional similarity values for proteins contained in UniProtKB and for protein families in Pfam and SMART. The web interface allows users to efficiently perform both semantic similarity searches with GO terms and functional similarity searches with proteins or protein families. All results can be downloaded in tab-delimited files for use with other tools. An additional XML--RPC interface gives automatic online access to FunSimMat for programs and remote services.}, JOURNAL = {Nucleic Acids Research}, VOLUME = {36}, NUMBER = {Database Issue}, PAGES = {D434--D439}, }
Endnote
%0 Journal Article %A Schlicker, Andreas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T FunSimMat: a comprehensive functional similarity database : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1BC1-1 %F EDOC: 428214 %R 10.1093/nar/gkm806 %U http://dx.doi.org/10.1093/nar/gkm806 %F OTHER: Local-ID: C125756E0038A185-4EC5F9537DF4FB41C12573AE0054CD3A-Albrecht2008a %D 2008 %* Review method: peer-reviewed %X Functional similarity based on Gene Ontology (GO) annotation is used in diverse applications like gene clustering, gene expression data analysis, protein interaction prediction and evaluation. However, there exists no comprehensive resource of functional similarity values although such a database would facilitate the use of functional similarity measures in different applications. Here, we describe FunSimMat (Functional Similarity Matrix, http://funsimmat.bioinf.mpi-inf.mpg.de/), a large new database that provides several different semantic similarity measures for GO terms. It offers various precomputed functional similarity values for proteins contained in UniProtKB and for protein families in Pfam and SMART. The web interface allows users to efficiently perform both semantic similarity searches with GO terms and functional similarity searches with proteins or protein families. All results can be downloaded in tab-delimited files for use with other tools. An additional XML&#8211;RPC interface gives automatic online access to FunSimMat for programs and remote services. %J Nucleic Acids Research %V 36 %N Database Issue %& D434 %P D434 - D439 %@ false
669. Schüffler P: MethMarker - A Toolkit for Design, Optimization and Validation of DNA Methylation Biomarkers for Cancer Diagnosis and Therapy Optimization. Universität des Saarlandes; 2008.
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@mastersthesis{Schueffler2008, TITLE = {{MethMarker} -- A Toolkit for Design, Optimization and Validation of {DNA} Methylation Biomarkers for Cancer Diagnosis and Therapy Optimization}, AUTHOR = {Sch{\"u}ffler, Peter}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Sch&#252;ffler, Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T MethMarker - A Toolkit for Design, Optimization and Validation of DNA Methylation Biomarkers for Cancer Diagnosis and Therapy Optimization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDE4-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V master %9 master
670. Seebeck B, Reulecke I, Kämper A, Rarey M: Modeling of metal interaction geometries for protein-ligand docking. Proteins: Structure, Function, and Bioinformatics 2008, 71.
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@article{Seebeck2008, TITLE = {Modeling of metal interaction geometries for protein-ligand docking}, AUTHOR = {Seebeck, Birte and Reulecke, Ingo and K{\"a}mper, Andreas and Rarey, Matthias}, LANGUAGE = {eng}, ISSN = {0887-3585}, URL = {http://dx.doi.org/10.1002/prot.21818}, DOI = {10.1002/prot.21818}, LOCALID = {Local-ID: C125756E0038A185-73D5AB04C7DCDD08C125757E00455D8A-Seebeck2008}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Proteins: Structure, Function, and Bioinformatics}, VOLUME = {71}, NUMBER = {3}, PAGES = {1237--1254}, }
Endnote
%0 Journal Article %A Seebeck, Birte %A Reulecke, Ingo %A K&#228;mper, Andreas %A Rarey, Matthias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Modeling of metal interaction geometries for protein-ligand docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C45-4 %F EDOC: 428220 %R 10.1002/prot.21818 %U http://dx.doi.org/10.1002/prot.21818 %F OTHER: Local-ID: C125756E0038A185-73D5AB04C7DCDD08C125757E00455D8A-Seebeck2008 %D 2008 %* Review method: peer-reviewed %J Proteins: Structure, Function, and Bioinformatics %V 71 %N 3 %& 1237 %P 1237 - 1254 %@ false
671. Sierra S, Kaiser R, Thielen A, Sander O, Lengauer T: Genotypic Analysis of HIV Co-Receptor Usage. In Entry Inhibitoren - Neue Formen der HIV-Therapie. Heidelberg: Springer Medizin Verlag; 2008.
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@incollection{Jaeger2008, TITLE = {Genotypic Analysis of {HIV} Co-Receptor Usage}, AUTHOR = {Sierra, Saleta and Kaiser, Rolf and Thielen, Alexander and Sander, Oliver and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {978-3-540-78357-2}, URL = {http://dx.doi.org/10.1007/978-3-540-78358-9_4}, LOCALID = {Local-ID: C125756E0038A185-D68D899D381A5EB8C12575390057C0FB-Jaeger2008}, PUBLISHER = {Springer Medizin Verlag}, ADDRESS = {Heidelberg}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Entry Inhibitoren -- Neue Formen der HIV-Therapie}, EDITOR = {J{\"a}ger, Hans}, PAGES = {31--39}, }
Endnote
%0 Book Section %A Sierra, Saleta %A Kaiser, Rolf %A Thielen, Alexander %A Sander, Oliver %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotypic Analysis of HIV Co-Receptor Usage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1BCB-D %F EDOC: 428225 %U http://dx.doi.org/10.1007/978-3-540-78358-9_4 %F OTHER: Local-ID: C125756E0038A185-D68D899D381A5EB8C12575390057C0FB-Jaeger2008 %I Springer Medizin Verlag %C Heidelberg %D 2008 %B Entry Inhibitoren - Neue Formen der HIV-Therapie %E J&#228;ger, Hans %P 31 - 39 %I Springer Medizin Verlag %C Heidelberg %@ 978-3-540-78357-2
672. Sing T: Model-Based Anti-HIV Therapy. Universität des Saarlandes; 2008.
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@phdthesis{sing2008, TITLE = {Model-Based Anti-{HIV} Therapy}, AUTHOR = {Sing, Tobias}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-20487}, DOI = {10.22028/D291-25925}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Sing, Tobias %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Model-Based Anti-HIV Therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FAA7-C %R 10.22028/D291-25925 %U urn:nbn:de:bsz:291-scidok-20487 %F OTHER: hdl:20.500.11880/25981 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2009/2048/http://scidok.sulb.uni-saarland.de/volltexte/2009/2048/
673. Steffen A: Computational Approaches in Supramolecular Chemistry with a special Focus on Virtual Screening. Universität des Saarlandes; 2008.
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@phdthesis{steffen2008a, TITLE = {Computational Approaches in Supramolecular Chemistry with a special Focus on Virtual Screening}, AUTHOR = {Steffen, Andreas}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-14170}, DOI = {10.22028/D291-23786}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Steffen, Andreas %Y Lengauer, Thomas %A referee: Wenz, Gerhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Computational Approaches in Supramolecular Chemistry with a special Focus on Virtual Screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FAB1-3 %R 10.22028/D291-23786 %U urn:nbn:de:bsz:291-scidok-14170 %F OTHER: hdl:20.500.11880/23842 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2008/1417/http://scidok.sulb.uni-saarland.de/volltexte/2008/1417/
674. Stöckel D: Protein Surface Remeshing and Characterisation Using Morse-smale Complexes. Universität des Saarlandes; 2008.
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@mastersthesis{Stoeckel2008, TITLE = {Protein Surface Remeshing and Characterisation Using Morse-smale Complexes}, AUTHOR = {St{\"o}ckel, Daniel}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A St&#246;ckel, Daniel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protein Surface Remeshing and Characterisation Using Morse-smale Complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FE07-5 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V bachelor %9 bachelor
675. Talwar P: Development of Computational Methods for Metabolic Network Analysis based on Metabolomics Data. Universität des Saarlandes; 2008.
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@phdthesis{TalwarPhD08, TITLE = {Development of Computational Methods for Metabolic Network Analysis based on Metabolomics Data}, AUTHOR = {Talwar, Priti}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-24228}, DOI = {10.22028/D291-25943}, LOCALID = {Local-ID: C125756E0038A185-56050D1EBCD0CA89C12575900028E4BB-TalwarPhD08}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2008}, DATE = {2008}, }
Endnote
%0 Thesis %A Talwar, Priti %Y Lengauer, Thomas %A referee: Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Development of Computational Methods for Metabolic Network Analysis based on Metabolomics Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1AA0-2 %F EDOC: 428324 %F OTHER: Local-ID: C125756E0038A185-56050D1EBCD0CA89C12575900028E4BB-TalwarPhD08 %R 10.22028/D291-25943 %U urn:nbn:de:bsz:291-scidok-24228 %F OTHER: hdl:20.500.11880/25999 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2008 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2009/2422/http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de
676. Thielen A, Harrigan PR, Low AJ, Moores A, Altmann A, Bozek K, Heger E, Sichtig N, Kaiser R, Lengauer T: Improved Genotypic Prediction of HIV-1 Coreceptor Usage by Incorporating V2 Loop Sequence Variation. Antiviral Therapy 2008.
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@inproceedings{Thielen2008IDRW, TITLE = {Improved Genotypic Prediction of {HIV-1}Coreceptor Usage by Incorporating {V2} Loop Sequence Variation}, AUTHOR = {Thielen, Alexander and Harrigan, P Richard and Low, Andrew J. and Moores, A and Altmann, Andre and Bozek, Kasia and Heger, Eva and Sichtig, Nadine and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44}, LOCALID = {Local-ID: C125756E0038A185-BEAA728733F44A08C1257546004C2DEB-Thielen2008IDRW}, PUBLISHER = {International Medical Press}, YEAR = {2008}, BOOKTITLE = {Abstracts presented at the XVII International HIV Drug Resistance Workshop}, JOURNAL = {Antiviral Therapy}, VOLUME = {13}, ISSUE = {Suppl.3}, PAGES = {A100--A100}, EID = {Abstract 90}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Generic %A Thielen, Alexander %A Harrigan, P Richard %A Low, Andrew J. %A Moores, A %A Altmann, Andre %A Bozek, Kasia %A Heger, Eva %A Sichtig, Nadine %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved Genotypic Prediction of HIV-1 Coreceptor Usage by Incorporating V2 Loop Sequence Variation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17D1-C %F EDOC: 428238 %U http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44 %F OTHER: Local-ID: C125756E0038A185-BEAA728733F44A08C1257546004C2DEB-Thielen2008IDRW %D 2008 %Z name of event: XVII International HIV Drug Resistance Workshop %Z date of event: 2008-06-10 - 2008-06-14 %Z place of event: Sitges, Spain %B Abstracts presented at the XVII International HIV Drug Resistance Workshop %J Antiviral Therapy %V 13 %N Suppl.3 %P A100 - A100 %Z sequence number: Abstract 90 %@ false
677. Thielen A, Kaiser R, Lengauer T: Improving HIV-1 Coreceptor Usage Prediction from Genotype with Regions Outside of V3. Reviews in Antiviral Therapy & Infectious Diseases 2008.
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@inproceedings{Thielen2008Entry, TITLE = {Improving {HIV}-1 Coreceptor Usage Prediction from Genotype with Regions Outside of {V3}}, AUTHOR = {Thielen, Alexander and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1872-437X}, LOCALID = {Local-ID: C125756E0038A185-4843DD090896EC33C1257546004CFEC0-Thielen2008Entry}, PUBLISHER = {Virology Educations}, YEAR = {2007}, DATE = {2008}, BOOKTITLE = {Reviews in Antiviral Therapy \& Infectious Diseases}, VOLUME = {2008}, ISSUE = {1}, PAGES = {81--82}, }
Endnote
%0 Generic %A Thielen, Alexander %A Kaiser, Rolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improving HIV-1 Coreceptor Usage Prediction from Genotype with Regions Outside of V3 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17E2-6 %F EDOC: 428239 %F OTHER: Local-ID: C125756E0038A185-4843DD090896EC33C1257546004CFEC0-Thielen2008Entry %D 2008 %Z name of event: Untitled Event %Z date of event: 2007-12-07 - 2007-12-08 %Z place of event: Washington, US %B Reviews in Antiviral Therapy & Infectious Diseases %V 2008 %N 1 %P 81 - 82 %@ false
678. Van Ooijen G, Mayr G, Albrecht M, Cornelissen BJC, Takken FLW: Transcomplementation, but not physical association of the CC-NB-ARC and LRR domains of tomato R protein Mi-1.2 is altered by mutations in the ARC2 subdomain. Molecular Plant 2008, 1.
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@article{Albrecht2008e, TITLE = {Transcomplementation, but not physical association of the {CC}-{NB}-{ARC} and {LRR} domains of tomato R protein Mi-1.2 is altered by mutations in the {{ARC}2} subdomain}, AUTHOR = {Van Ooijen, Gerben and Mayr, Gabriele and Albrecht, Mario and Cornelissen, Ben J. C. and Takken, Frank L. W.}, LANGUAGE = {eng}, ISSN = {1674-2052}, URL = {http://dx.doi.org/doi:10.1093/mp/ssn009}, DOI = {doi:10.1093/mp/ssn009}, LOCALID = {Local-ID: C125756E0038A185-FC599FCE9BC04296C125752B005C7B6D-Albrecht2008e}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Molecular Plant}, VOLUME = {1}, NUMBER = {3}, PAGES = {401--410}, }
Endnote
%0 Journal Article %A Van Ooijen, Gerben %A Mayr, Gabriele %A Albrecht, Mario %A Cornelissen, Ben J. C. %A Takken, Frank L. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Transcomplementation, but not physical association of the CC-NB-ARC and LRR domains of tomato R protein Mi-1.2 is altered by mutations in the ARC2 subdomain : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D47-7 %F EDOC: 428244 %R doi:10.1093/mp/ssn009 %U http://dx.doi.org/doi:10.1093/mp/ssn009 %F OTHER: Local-ID: C125756E0038A185-FC599FCE9BC04296C125752B005C7B6D-Albrecht2008e %D 2008 %* Review method: peer-reviewed %J Molecular Plant %V 1 %N 3 %& 401 %P 401 - 410 %@ false
679. Van Ooijen G, Mayr G, Kasiem MMA, Albrecht M, Cornelissen BJC, Takken FLW: Structure-function analysis of the NB-ARC domain of plant disease resistance proteins. Journal of Experimental Botany 2008, 59.
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@article{Albrecht2008d, TITLE = {Structure-function analysis of the {NB}-{ARC} domain of plant disease resistance proteins}, AUTHOR = {Van Ooijen, Gerben and Mayr, Gabriele and Kasiem, Mobien M. A. and Albrecht, Mario and Cornelissen, Ben J. C. and Takken, Frank L. W.}, LANGUAGE = {eng}, ISBN = {022-0957}, URL = {http://dx.doi.org/10.1093/jxb/ern045}, DOI = {10.1093/jxb/ern045}, LOCALID = {Local-ID: C125756E0038A185-0FBA1B919C6CF49CC125752B005BDD22-Albrecht2008d}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Journal of Experimental Botany}, VOLUME = {59}, NUMBER = {6}, PAGES = {1383--1397}, }
Endnote
%0 Journal Article %A Van Ooijen, Gerben %A Mayr, Gabriele %A Kasiem, Mobien M. A. %A Albrecht, Mario %A Cornelissen, Ben J. C. %A Takken, Frank L. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structure-function analysis of the NB-ARC domain of plant disease resistance proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D12-E %F EDOC: 428245 %R 10.1093/jxb/ern045 %U http://dx.doi.org/10.1093/jxb/ern045 %F OTHER: Local-ID: C125756E0038A185-0FBA1B919C6CF49CC125752B005BDD22-Albrecht2008d %D 2008 %* Review method: peer-reviewed %J Journal of Experimental Botany %V 59 %N 6 %& 1383 %P 1383 - 1397 %@ 022-0957
680. Verheyen J, Altmann A, Knops E, Schülter E, Sichtig N, Reuter S, Fätkenheuer G, Pfister H, Kaiser R: Relevance of HIV Gag Cleavage Site Mutations in Failures of Protease Inhibitor Therapies. Antiviral Therapy 2008.
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@inproceedings{Verheyen2008a, TITLE = {Relevance of {HIV} Gag Cleavage Site Mutations in Failures of Protease Inhibitor Therapies}, AUTHOR = {Verheyen, Jens and Altmann, Andre and Knops, Elena and Sch{\"u}lter, Eugen and Sichtig, Nadine and Reuter, Stefan and F{\"a}tkenheuer, Gerd and Pfister, Herbert and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1359-6535}, URL = {http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44}, LOCALID = {Local-ID: C125756E0038A185-FE2CB8C044329BBBC1257546004E0BC3-Verheyen2008a}, PUBLISHER = {International Medical Press}, YEAR = {2008}, BOOKTITLE = {Abstracts presented at the XVII International HIV Drug Resistance Workshop}, JOURNAL = {Antiviral Therapy}, VOLUME = {13}, ISSUE = {Suppl.3}, PAGES = {A53--A53}, EID = {Abstract 48}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Generic %A Verheyen, Jens %A Altmann, Andre %A Knops, Elena %A Sch&#252;lter, Eugen %A Sichtig, Nadine %A Reuter, Stefan %A F&#228;tkenheuer, Gerd %A Pfister, Herbert %A Kaiser, Rolf %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Relevance of HIV Gag Cleavage Site Mutations in Failures of Protease Inhibitor Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-17E6-D %F EDOC: 428248 %U http://www.intmedpress.com/serveFile.cfm?sUID=9a520efd-bc66-4c9f-a3ba-1465bbbd7d44 %F OTHER: Local-ID: C125756E0038A185-FE2CB8C044329BBBC1257546004E0BC3-Verheyen2008a %D 2008 %Z name of event: XVII International HIV Drug Resistance Workshop %Z date of event: 2008-06-10 - 2008-06-14 %Z place of event: Sitges, Spain %B Abstracts presented at the XVII International HIV Drug Resistance Workshop %J Antiviral Therapy %V 13 %N Suppl.3 %P A53 - A53 %Z sequence number: Abstract 48 %@ false
681. Watson JD, Thornton JM, Tress ML, Lopez G, Valencia A, Redfern O, Orengo CA, Sommer I, Domingues FS: Structure to function. In Modern Genome Annotation. Wien: Springer; 2008.
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@incollection{DominguesS2008, TITLE = {Structure to function}, AUTHOR = {Watson, James D. and Thornton, Janet M. and Tress, Michael L. and Lopez, Gonzalo and Valencia, Alfonso and Redfern, Oliver and Orengo, Christine A. and Sommer, Ingolf and Domingues, Francisco S.}, LANGUAGE = {eng}, ISBN = {978-3-211-75122-0}, LOCALID = {Local-ID: C125756E0038A185-843DE257F52B80DDC1257538005AA749-DominguesS2008}, PUBLISHER = {Springer}, ADDRESS = {Wien}, YEAR = {2008}, DATE = {2008}, BOOKTITLE = {Modern Genome Annotation}, EDITOR = {Frishman, Dmitrij and Valencia, Alfonso}, PAGES = {239--262}, }
Endnote
%0 Book Section %A Watson, James D. %A Thornton, Janet M. %A Tress, Michael L. %A Lopez, Gonzalo %A Valencia, Alfonso %A Redfern, Oliver %A Orengo, Christine A. %A Sommer, Ingolf %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structure to function : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D14-A %F EDOC: 428254 %F OTHER: Local-ID: C125756E0038A185-843DE257F52B80DDC1257538005AA749-DominguesS2008 %I Springer %C Wien %D 2008 %B Modern Genome Annotation %E Frishman, Dmitrij; Valencia, Alfonso %P 239 - 262 %I Springer %C Wien %@ 978-3-211-75122-0
682. Weinhold N, Sander O, Domingues FS, Lengauer T, Sommer I: Local Function Conservation in Sequence and Structure Space. PLOS Computational Biology 2008, 4.
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@article{Weinhold2008, TITLE = {Local Function Conservation in Sequence and Structure Space}, AUTHOR = {Weinhold, Nils and Sander, Oliver and Domingues, Francisco S. and Lengauer, Thomas and Sommer, Ingolf}, LANGUAGE = {eng}, ISSN = {1553-734X}, URL = {http://dx.doi.org/10.1371/journal.pcbi.1000105}, DOI = {10.1371/journal.pcbi.1000105}, LOCALID = {Local-ID: C125756E0038A185-2DB9481E41B4192BC12575300071D22D-Weinhold2008}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2008}, DATE = {2008}, JOURNAL = {PLOS Computational Biology}, VOLUME = {4}, NUMBER = {7}, PAGES = {1--13}, EID = {e1000105}, }
Endnote
%0 Journal Article %A Weinhold, Nils %A Sander, Oliver %A Domingues, Francisco S. %A Lengauer, Thomas %A Sommer, Ingolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Local Function Conservation in Sequence and Structure Space : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C19-8 %F EDOC: 428288 %R 10.1371/journal.pcbi.1000105 %U http://dx.doi.org/10.1371/journal.pcbi.1000105 %F OTHER: Local-ID: C125756E0038A185-2DB9481E41B4192BC12575300071D22D-Weinhold2008 %D 2008 %J PLOS Computational Biology %O PLOS Comput Biol %V 4 %N 7 %& 1 %P 1 - 13 %Z sequence number: e1000105 %I Public Library of Science %C San Francisco, CA %@ false %U https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000105&type=printable
683. Welsch C, Domingues FS, Susser S, Antes I, Hartmann C, Mayr G, Schlicker A, Sarrazin C, Albrecht M, Zeuzem S, Lengauer T: Molecular basis of telaprevir resistance due to V36 and T54 mutations in the NS3-4A protease of HCV. Genome Biology 2008, 9.
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@article{Albrecht2008c, TITLE = {Molecular basis of telaprevir resistance due to V36 and T54 mutations in the {NS3}-{4A} protease of {HCV}}, AUTHOR = {Welsch, Christoph and Domingues, Francisco S. and Susser, Simone and Antes, Iris and Hartmann, Christoph and Mayr, Gabriele and Schlicker, Andreas and Sarrazin, Christoph and Albrecht, Mario and Zeuzem, Stefan and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1465-6906}, URL = {http://dx.doi.org/10.1186/gb-2008-9-1-r16}, DOI = {10.1186/gb-2008-9-1-r16}, LOCALID = {Local-ID: C125756E0038A185-8D6DA765556D9EC0C12573DD004C440B-Albrecht2008c}, YEAR = {2008}, DATE = {2008}, JOURNAL = {Genome Biology}, VOLUME = {9}, NUMBER = {1}, PAGES = {R16.1--18}, }
Endnote
%0 Journal Article %A Welsch, Christoph %A Domingues, Francisco S. %A Susser, Simone %A Antes, Iris %A Hartmann, Christoph %A Mayr, Gabriele %A Schlicker, Andreas %A Sarrazin, Christoph %A Albrecht, Mario %A Zeuzem, Stefan %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Molecular basis of telaprevir resistance due to V36 and T54 mutations in the NS3-4A protease of HCV : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1C49-B %F EDOC: 428255 %R 10.1186/gb-2008-9-1-r16 %U http://dx.doi.org/10.1186/gb-2008-9-1-r16 %F OTHER: Local-ID: C125756E0038A185-8D6DA765556D9EC0C12573DD004C440B-Albrecht2008c %D 2008 %* Review method: peer-reviewed %J Genome Biology %V 9 %N 1 %& R16.1 %P R16.1 - 18 %@ false
684. Zhu H, Sommer I, Lengauer T, Domingues FS: Alignment of Non-Covalent Interactions at Protein-Protein Interfaces. PLoS ONE 2008, 3.
Abstract
Background The study and comparison of protein-protein interfaces is essential for the understanding of the mechanisms of interaction between proteins. While there are many methods for comparing protein structures and protein binding sites, so far no methods have been reported for comparing the geometry of non-covalent interactions occurring at protein-protein interfaces. Methodology/Principal Findings Here we present a method for aligning non-covalent interactions between different protein-protein interfaces. The method aligns the vector representations of van der Waals interactions and hydrogen bonds based on their geometry. The method has been applied to a dataset which comprises a variety of protein-protein interfaces. The alignments are consistent to a large extent with the results obtained using two other complementary approaches. In addition, we apply the method to three examples of protein mimicry. The method successfully aligns respective interfaces and allows for recognizing conserved interface regions. Conclusions/Significance The Galinter method has been validated in the comparison of interfaces in which homologous subunits are involved, including cases of mimicry. The method is also applicable to comparing interfaces involving non-peptidic compounds. Galinter assists users in identifying local interface regions with similar patterns of non-covalent interactions. This is particularly relevant to the investigation of the molecular basis of interaction mimicry.
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@article{Zhu2008, TITLE = {Alignment of Non-Covalent Interactions at Protein-Protein Interfaces}, AUTHOR = {Zhu, Hongbo and Sommer, Ingolf and Lengauer, Thomas and Domingues, Francisco S.}, LANGUAGE = {eng}, ISSN = {1932-6203}, URL = {http://dx.doi.org/10.1371/journal.pone.0001926}, DOI = {10.1371/journal.pone.0001926}, LOCALID = {Local-ID: C125756E0038A185-76B6F10503CD3F49C12575050048B89A-Zhu2008}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {Background The study and comparison of protein-protein interfaces is essential for the understanding of the mechanisms of interaction between proteins. While there are many methods for comparing protein structures and protein binding sites, so far no methods have been reported for comparing the geometry of non-covalent interactions occurring at protein-protein interfaces. Methodology/Principal Findings Here we present a method for aligning non-covalent interactions between different protein-protein interfaces. The method aligns the vector representations of van der Waals interactions and hydrogen bonds based on their geometry. The method has been applied to a dataset which comprises a variety of protein-protein interfaces. The alignments are consistent to a large extent with the results obtained using two other complementary approaches. In addition, we apply the method to three examples of protein mimicry. The method successfully aligns respective interfaces and allows for recognizing conserved interface regions. Conclusions/Significance The Galinter method has been validated in the comparison of interfaces in which homologous subunits are involved, including cases of mimicry. The method is also applicable to comparing interfaces involving non-peptidic compounds. Galinter assists users in identifying local interface regions with similar patterns of non-covalent interactions. This is particularly relevant to the investigation of the molecular basis of interaction mimicry.}, JOURNAL = {PLoS ONE}, VOLUME = {3}, NUMBER = {4}, PAGES = {e1926.1--9}, }
Endnote
%0 Journal Article %A Zhu, Hongbo %A Sommer, Ingolf %A Lengauer, Thomas %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Alignment of Non-Covalent Interactions at Protein-Protein Interfaces : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1AD3-1 %F EDOC: 428290 %R 10.1371/journal.pone.0001926 %U http://dx.doi.org/10.1371/journal.pone.0001926 %F OTHER: Local-ID: C125756E0038A185-76B6F10503CD3F49C12575050048B89A-Zhu2008 %D 2008 %X Background The study and comparison of protein-protein interfaces is essential for the understanding of the mechanisms of interaction between proteins. While there are many methods for comparing protein structures and protein binding sites, so far no methods have been reported for comparing the geometry of non-covalent interactions occurring at protein-protein interfaces. Methodology/Principal Findings Here we present a method for aligning non-covalent interactions between different protein-protein interfaces. The method aligns the vector representations of van der Waals interactions and hydrogen bonds based on their geometry. The method has been applied to a dataset which comprises a variety of protein-protein interfaces. The alignments are consistent to a large extent with the results obtained using two other complementary approaches. In addition, we apply the method to three examples of protein mimicry. The method successfully aligns respective interfaces and allows for recognizing conserved interface regions. Conclusions/Significance The Galinter method has been validated in the comparison of interfaces in which homologous subunits are involved, including cases of mimicry. The method is also applicable to comparing interfaces involving non-peptidic compounds. Galinter assists users in identifying local interface regions with similar patterns of non-covalent interactions. This is particularly relevant to the investigation of the molecular basis of interaction mimicry. %J PLoS ONE %V 3 %N 4 %& e1926.1 %P e1926.1 - 9 %@ false
685. Zotenko E, Mestre J, O’Leary D, Przytycka T: Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality. PLoS Computational Biology 2008, 4.
Abstract
The \emph{centrality-lethality rule}, which notes that high-degree nodes in a protein interaction network tend to correspond to proteins that are essential, suggests that the topological prominence of a protein in a protein interaction network may be a good predictor of its biological importance. Even though the correlation between degree and essentiality was confirmed by many independent studies, the reason for this correlation remains illusive. Several hypotheses about putative connections between essentiality of hubs and the topology of protein–protein interaction networks have been proposed, but as we demonstrate, these explanations are not supported by the properties of protein interaction networks. To identify the main topological determinant of essentiality and to provide a biological explanation for the connection between the network topology and essentiality, we performed a rigorous analysis of six variants of the genomewide protein interaction network for Saccharomyces cerevisiae obtained using different techniques. We demonstrated that the majority of hubs are essential due to their involvement in Essential Complex Biological Modules, a group of densely connected proteins with shared biological function that are enriched in essential proteins. Moreover, we rejected two previously proposed explanations for the centrality-lethality rule, one relating the essentiality of hubs to their role in the overall network connectivity and another relying on the recently published essential protein interactions model.
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@article{Zotenko2008, TITLE = {Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality}, AUTHOR = {Zotenko, Elena and Mestre, Julian and O'Leary, Dianne and Przytycka, Teresa}, LANGUAGE = {eng}, ISSN = {1553-734X}, URL = {http://dx.doi.org/10.1371/journal.pcbi.1000140}, DOI = {10.1371/journal.pcbi.1000140}, LOCALID = {Local-ID: C125756E0038A185-677027344BF2FDD5C12575140058B930-Zotenko2008}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2008}, DATE = {2008}, ABSTRACT = {The \emph{centrality-lethality rule}, which notes that high-degree nodes in a protein interaction network tend to correspond to proteins that are essential, suggests that the topological prominence of a protein in a protein interaction network may be a good predictor of its biological importance. Even though the correlation between degree and essentiality was confirmed by many independent studies, the reason for this correlation remains illusive. Several hypotheses about putative connections between essentiality of hubs and the topology of protein--protein interaction networks have been proposed, but as we demonstrate, these explanations are not supported by the properties of protein interaction networks. To identify the main topological determinant of essentiality and to provide a biological explanation for the connection between the network topology and essentiality, we performed a rigorous analysis of six variants of the genomewide protein interaction network for Saccharomyces cerevisiae obtained using different techniques. We demonstrated that the majority of hubs are essential due to their involvement in Essential Complex Biological Modules, a group of densely connected proteins with shared biological function that are enriched in essential proteins. Moreover, we rejected two previously proposed explanations for the centrality-lethality rule, one relating the essentiality of hubs to their role in the overall network connectivity and another relying on the recently published essential protein interactions model.}, JOURNAL = {PLoS Computational Biology}, VOLUME = {4}, NUMBER = {8}, PAGES = {e1000140.1--16}, }
Endnote
%0 Journal Article %A Zotenko, Elena %A Mestre, Julian %A O'Leary, Dianne %A Przytycka, Teresa %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1D62-B %F EDOC: 428291 %R 10.1371/journal.pcbi.1000140 %U http://dx.doi.org/10.1371/journal.pcbi.1000140 %F OTHER: Local-ID: C125756E0038A185-677027344BF2FDD5C12575140058B930-Zotenko2008 %7 2008 %D 2008 %X The \emph{centrality-lethality rule}, which notes that high-degree nodes in a protein interaction network tend to correspond to proteins that are essential, suggests that the topological prominence of a protein in a protein interaction network may be a good predictor of its biological importance. Even though the correlation between degree and essentiality was confirmed by many independent studies, the reason for this correlation remains illusive. Several hypotheses about putative connections between essentiality of hubs and the topology of protein&#8211;protein interaction networks have been proposed, but as we demonstrate, these explanations are not supported by the properties of protein interaction networks. To identify the main topological determinant of essentiality and to provide a biological explanation for the connection between the network topology and essentiality, we performed a rigorous analysis of six variants of the genomewide protein interaction network for Saccharomyces cerevisiae obtained using different techniques. We demonstrated that the majority of hubs are essential due to their involvement in Essential Complex Biological Modules, a group of densely connected proteins with shared biological function that are enriched in essential proteins. Moreover, we rejected two previously proposed explanations for the centrality-lethality rule, one relating the essentiality of hubs to their role in the overall network connectivity and another relying on the recently published essential protein interactions model. %J PLoS Computational Biology %V 4 %N 8 %& e1000140.1 %P e1000140.1 - 16 %I Public Library of Science %C San Francisco, CA %@ false
2007
686. Ahlenstiel G, Roomp K, Däumer M, Nattermann J, Vogel M, Rockstroh JK, Beerenwinkel N, Kaiser R, Nischalke H-D, Sauerbruch T, Lengauer T, Spengler U: Selective pressures of HLA genotypes and antiviral therapy on human immunodeficiency virus type 1 sequence mutation at a population level. Clinical and Vaccine Immunology 2007, 14.
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@article{Lengauer2007s, TITLE = {Selective pressures of {HLA} genotypes and antiviral therapy on human immunodeficiency virus type 1 sequence mutation at a population level}, AUTHOR = {Ahlenstiel, Golo and Roomp, Kirsten and D{\"a}umer, Martin and Nattermann, Jacob and Vogel, Martin and Rockstroh, J{\"u}rgen K. and Beerenwinkel, Niko and Kaiser, Rolf and Nischalke, Hans-Dieter and Sauerbruch, Tilman and Lengauer, Thomas and Spengler, Ulrich}, LANGUAGE = {eng}, ISSN = {1556-6811}, DOI = {10.1128/CVI.00169-07}, LOCALID = {Local-ID: C12573CC004A8E26-F5B1B958FA534882C12573CC0037989E-Lengauer2007s}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Clinical and Vaccine Immunology}, VOLUME = {14}, NUMBER = {10}, PAGES = {1266--1273}, }
Endnote
%0 Journal Article %A Ahlenstiel, Golo %A Roomp, Kirsten %A D&#228;umer, Martin %A Nattermann, Jacob %A Vogel, Martin %A Rockstroh, J&#252;rgen K. %A Beerenwinkel, Niko %A Kaiser, Rolf %A Nischalke, Hans-Dieter %A Sauerbruch, Tilman %A Lengauer, Thomas %A Spengler, Ulrich %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Selective pressures of HLA genotypes and antiviral therapy on human immunodeficiency virus type 1 sequence mutation at a population level : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20AB-0 %F EDOC: 356566 %R 10.1128/CVI.00169-07 %F OTHER: Local-ID: C12573CC004A8E26-F5B1B958FA534882C12573CC0037989E-Lengauer2007s %D 2007 %* Review method: peer-reviewed %J Clinical and Vaccine Immunology %V 14 %N 10 %& 1266 %P 1266 - 1273 %@ false
687. Altmann A, Beerenwinkel N, Sing T, Savenkov I, Däumer M, Kaiser R, Rhee S-Y, Fessel WJ, Shafer RW, Lengauer T: Improved prediction of response to antiretroviral combination therapy using the genetic barrier to drug resistance. Antiviral Therapy 2007, 12.
Abstract
Background: The outcome of antiretroviral combination therapy depends on many factors involving host, virus, and drugs. We investigate prediction of treatment response from the applied drug combination and the genetic constellation of the virus population at baseline. The virus’s evolutionary potential for escaping from drug pressure is explored as an additional predictor. Methods: We compare different encodings of the viral genotype and antiretroviral regimen including phenotypic and evolutionary information, namely predicted phenotypic drug resistance, activity of the regimen estimated from sequence space search, the genetic barrier to drug resistance, and the genetic progression score. These features were evaluated in the context of different statistical learning procedures applied to the binary classification task of predicting virological response. Classifier performance was evaluated using cross-validation and receiver operating characteristic curves on 6,337 observed treatment change episodes from the Stanford HIV Drug Resistance Database and a large US clinic-based patient population. Results: We find that the choice of appropriate features affects predictive performance more profoundly than the choice of the statistical learning method. Application of the genetic barrier to drug resistance, which combines phenotypic and evolutionary information, outperformed the genetic progression score, which uses exclusively evolutionary knowledge. The benefit of phenotypic information in predicting virological response was confirmed by using predicted fold changes in drug susceptibility. Moreover, genetic barrier and predicted phenotypic drug resistance were found to be the best encodings across all datasets and statistical learning methods examined. Availability: THEO (THErapy Optimizer), a prototypical implementation of the best performing approach, is freely available for research purposes at http://www.geno2pheno.org.
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@article{Altmann2007, TITLE = {Improved prediction of response to antiretroviral combination therapy using the genetic barrier to drug resistance}, AUTHOR = {Altmann, Andre and Beerenwinkel, Niko and Sing, Tobias and Savenkov, Igor and D{\"a}umer, Martin and Kaiser, Rolf and Rhee, Soo-Yon and Fessel, W Jeffrey and Shafer, Robert W and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C12573CC004A8E26-6640B953DA2CDA2DC1257288005464A4-Altmann2007}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Background: The outcome of antiretroviral combination therapy depends on many factors involving host, virus, and drugs. We investigate prediction of treatment response from the applied drug combination and the genetic constellation of the virus population at baseline. The virus{\textquoteright}s evolutionary potential for escaping from drug pressure is explored as an additional predictor. Methods: We compare different encodings of the viral genotype and antiretroviral regimen including phenotypic and evolutionary information, namely predicted phenotypic drug resistance, activity of the regimen estimated from sequence space search, the genetic barrier to drug resistance, and the genetic progression score. These features were evaluated in the context of different statistical learning procedures applied to the binary classification task of predicting virological response. Classifier performance was evaluated using cross-validation and receiver operating characteristic curves on 6,337 observed treatment change episodes from the Stanford HIV Drug Resistance Database and a large US clinic-based patient population. Results: We find that the choice of appropriate features affects predictive performance more profoundly than the choice of the statistical learning method. Application of the genetic barrier to drug resistance, which combines phenotypic and evolutionary information, outperformed the genetic progression score, which uses exclusively evolutionary knowledge. The benefit of phenotypic information in predicting virological response was confirmed by using predicted fold changes in drug susceptibility. Moreover, genetic barrier and predicted phenotypic drug resistance were found to be the best encodings across all datasets and statistical learning methods examined. Availability: THEO (THErapy Optimizer), a prototypical implementation of the best performing approach, is freely available for research purposes at http://www.geno2pheno.org.}, JOURNAL = {Antiviral Therapy}, VOLUME = {12}, NUMBER = {2}, PAGES = {169--178}, }
Endnote
%0 Journal Article %A Altmann, Andre %A Beerenwinkel, Niko %A Sing, Tobias %A Savenkov, Igor %A D&#228;umer, Martin %A Kaiser, Rolf %A Rhee, Soo-Yon %A Fessel, W Jeffrey %A Shafer, Robert W %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved prediction of response to antiretroviral combination therapy using the genetic barrier to drug resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F8E-C %F EDOC: 356656 %F OTHER: Local-ID: C12573CC004A8E26-6640B953DA2CDA2DC1257288005464A4-Altmann2007 %D 2007 %* Review method: peer-reviewed %X Background: The outcome of antiretroviral combination therapy depends on many factors involving host, virus, and drugs. We investigate prediction of treatment response from the applied drug combination and the genetic constellation of the virus population at baseline. The virus&#8217;s evolutionary potential for escaping from drug pressure is explored as an additional predictor. Methods: We compare different encodings of the viral genotype and antiretroviral regimen including phenotypic and evolutionary information, namely predicted phenotypic drug resistance, activity of the regimen estimated from sequence space search, the genetic barrier to drug resistance, and the genetic progression score. These features were evaluated in the context of different statistical learning procedures applied to the binary classification task of predicting virological response. Classifier performance was evaluated using cross-validation and receiver operating characteristic curves on 6,337 observed treatment change episodes from the Stanford HIV Drug Resistance Database and a large US clinic-based patient population. Results: We find that the choice of appropriate features affects predictive performance more profoundly than the choice of the statistical learning method. Application of the genetic barrier to drug resistance, which combines phenotypic and evolutionary information, outperformed the genetic progression score, which uses exclusively evolutionary knowledge. The benefit of phenotypic information in predicting virological response was confirmed by using predicted fold changes in drug susceptibility. Moreover, genetic barrier and predicted phenotypic drug resistance were found to be the best encodings across all datasets and statistical learning methods examined. Availability: THEO (THErapy Optimizer), a prototypical implementation of the best performing approach, is freely available for research purposes at http://www.geno2pheno.org. %J Antiviral Therapy %V 12 %N 2 %& 169 %P 169 - 178
688. Blankenburg H: A Distributed Annotation System for Molecular Interactions. Universität des Saarlandes; 2007.
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@mastersthesis{Blankenburg2007, TITLE = {A Distributed Annotation System for Molecular Interactions}, AUTHOR = {Blankenburg, Hagen}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, TYPE = {Diploma thesis}, }
Endnote
%0 Thesis %A Blankenburg, Hagen %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Distributed Annotation System for Molecular Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1DB5-2 %F EDOC: 356780 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V diploma %9 diploma
689. Bock C, Lengauer T: Computational Epigenetics: Bioinformatik für neue Wege in der Krebsforschung. Jahrbuch der Max-Planck-Gesellschaft 2007.
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@article{Bock2007c, TITLE = {{Computational Epigenetics: Bioinformatik f{\"u}r neue Wege in der Krebsforschung}}, AUTHOR = {Bock, Christoph and Lengauer, Thomas}, LANGUAGE = {deu}, LOCALID = {Local-ID: C12573CC004A8E26-4D533C96B4244D8FC12573B600598A8B-Bock2007c}, PUBLISHER = {MPG}, ADDRESS = {M{\"u}nchen}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Jahrbuch der Max-Planck-Gesellschaft}, EDITOR = {{Max-Planck-Gesellschaft}}, PAGES = {271--277}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Epigenetics: Bioinformatik f&#252;r neue Wege in der Krebsforschung : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-1EA2-4 %F EDOC: 356560 %F OTHER: Local-ID: C12573CC004A8E26-4D533C96B4244D8FC12573B600598A8B-Bock2007c %D 2007 %J Jahrbuch der Max-Planck-Gesellschaft %O MAX-PLANCK-GES JAHRB %& 271 %P 271 - 277 %I MPG %C M&#252;nchen
690. Bock C, Walter J, Paulsen M, Lengauer T: CpG Island Mapping by Epigenome Prediction. PLOS Computational Biology 2007, 3.
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@article{Bock2007a, TITLE = {{CpG} Island Mapping by Epigenome Prediction}, AUTHOR = {Bock, Christoph and Walter, J{\"o}rn and Paulsen, Martina and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.0030110}, LOCALID = {Local-ID: C12573CC004A8E26-A437CEAF7C1978E0C12573B60058087C-Bock2007a}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2007}, DATE = {2007}, JOURNAL = {PLOS Computational Biology}, VOLUME = {3}, NUMBER = {6}, PAGES = {1055--1070}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Walter, J&#246;rn %A Paulsen, Martina %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T CpG Island Mapping by Epigenome Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1EC4-5 %F EDOC: 356635 %R 10.1371/journal.pcbi.0030110 %F OTHER: Local-ID: C12573CC004A8E26-A437CEAF7C1978E0C12573B60058087C-Bock2007a %D 2007 %* Review method: peer-reviewed %J PLOS Computational Biology %O PLOS Comput Biol %V 3 %N 6 %& 1055 %P 1055 - 1070 %I Public Library of Science %C San Francisco, CA %@ false %U https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.0030110&type=printable
691. Bogojeska J: Stability Analysis of Oncogenetic Trees Mixture Models. Universität des Saarlandes; 2007.
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@mastersthesis{Bogojeska2007a, TITLE = {Stability Analysis of Oncogenetic Trees Mixture Models}, AUTHOR = {Bogojeska, Jasmina}, LANGUAGE = {eng}, LOCALID = {Local-ID: C12573CC004A8E26-7A5625CE2DBE4839C1257283004617FD-Bogojeska2007a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Bogojeska, Jasmina %Y Rahnenf&#252;hrer, J&#246;rg %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Stability Analysis of Oncogenetic Trees Mixture Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1DC3-2 %F EDOC: 356591 %F OTHER: Local-ID: C12573CC004A8E26-7A5625CE2DBE4839C1257283004617FD-Bogojeska2007a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
692. Ceccherini-Silberstein F, Svicher V, Sing T, Artese A, Santoro MM, Forbici F, Bertoli A, Alcaro S, Palamara G, Monforte A d’Arminio, Balzarini J, Antinori A, Lengauer T, Perno CF: Characterization and structural analysis of novel mutations in human immunodeficiency virus type 1 reverse transcriptase involved in the regulation of restistance to nonnucleoside inhibitors. Journal of Virology 2007, 81.
Abstract
Resistance to antivirals is a complex and dynamic phenomenon that involves more mutations than are currently known. Here, we characterize 10 additional mutations (L74V, K101Q, I135M/T, V179I, H221Y, K223E/Q, and L228H/R) in human immunodeficiency virus type 1 (HIV-1) reverse transcriptase which are involved in the regulation of resistance to nonnucleoside reverse transcriptase inhibitors (NNRTIs). These mutations are strongly associated with NNRTI failure and strongly correlate with the classical NNRTI resistance mutations in a data set of 1,904 HIV-1 B-subtype pol sequences from 758 drug-naïve patients, 592 nucleoside reverse transcriptase inhibitor (NRTI)-treated but NNRTI-naïve patients, and 554 patients treated with both NRTIs and NNRTIs. In particular, L74V and H221Y, positively correlated with Y181C, were associated with an increase in Y181C-mediated resistance to nevirapine, while I135M/T mutations, positively correlated with K103N, were associated with an increase in K103N-mediated resistance to efavirenz. In addition, the presence of the I135T polymorphism in NNRTI-naïve patients significantly correlated with the appearance of K103N in cases of NNRTI failure, suggesting that I135T may represent a crucial determinant of NNRTI resistance evolution. Molecular dynamics simulations show that I135T can contribute to the stabilization of the K103N-induced closure of the NNRTI binding pocket by reducing the distance and increasing the number of hydrogen bonds between 103N and 188Y. H221Y also showed negative correlations with type 2 thymidine analogue mutations (TAM2s); its copresence with the TAM2s was associated with a higher level of zidovudine susceptibility. Our study reinforces the complexity of NNRTI resistance and the significant interplay between NRTI- and NNRTI-selected mutations. Mutations beyond those currently known to confer resistance should be considered for a better prediction of clinical response to reverse transcriptase inhibitors and for the development of more efficient new-generation NNRTIs.
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@article{Lengauer2007r, TITLE = {Characterization and structural analysis of novel mutations in human immunodeficiency virus type 1 reverse transcriptase involved in the regulation of restistance to nonnucleoside inhibitors}, AUTHOR = {Ceccherini-Silberstein, Francesca and Svicher, Valentina and Sing, Tobias and Artese, Anna and Santoro, Maria Mercedes and Forbici, Federica and Bertoli, Ada and Alcaro, Stefano and Palamara, Guido and Monforte, Antonella d'Arminio and Balzarini, Jan and Antinori, Andrea and Lengauer, Thomas and Perno, Carlo Federico}, LANGUAGE = {eng}, ISSN = {0022-538X}, DOI = {10.1128/JVI.00303-07}, LOCALID = {Local-ID: C12573CC004A8E26-142B4822A3CC878EC12573CC003737EA-Lengauer2007r}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Resistance to antivirals is a complex and dynamic phenomenon that involves more mutations than are currently known. Here, we characterize 10 additional mutations (L74V, K101Q, I135M/T, V179I, H221Y, K223E/Q, and L228H/R) in human immunodeficiency virus type 1 (HIV-1) reverse transcriptase which are involved in the regulation of resistance to nonnucleoside reverse transcriptase inhibitors (NNRTIs). These mutations are strongly associated with NNRTI failure and strongly correlate with the classical NNRTI resistance mutations in a data set of 1,904 HIV-1 B-subtype pol sequences from 758 drug-na{\"i}ve patients, 592 nucleoside reverse transcriptase inhibitor (NRTI)-treated but NNRTI-na{\"i}ve patients, and 554 patients treated with both NRTIs and NNRTIs. In particular, L74V and H221Y, positively correlated with Y181C, were associated with an increase in Y181C-mediated resistance to nevirapine, while I135M/T mutations, positively correlated with K103N, were associated with an increase in K103N-mediated resistance to efavirenz. In addition, the presence of the I135T polymorphism in NNRTI-na{\"i}ve patients significantly correlated with the appearance of K103N in cases of NNRTI failure, suggesting that I135T may represent a crucial determinant of NNRTI resistance evolution. Molecular dynamics simulations show that I135T can contribute to the stabilization of the K103N-induced closure of the NNRTI binding pocket by reducing the distance and increasing the number of hydrogen bonds between 103N and 188Y. H221Y also showed negative correlations with type 2 thymidine analogue mutations (TAM2s); its copresence with the TAM2s was associated with a higher level of zidovudine susceptibility. Our study reinforces the complexity of NNRTI resistance and the significant interplay between NRTI- and NNRTI-selected mutations. Mutations beyond those currently known to confer resistance should be considered for a better prediction of clinical response to reverse transcriptase inhibitors and for the development of more efficient new-generation NNRTIs.}, JOURNAL = {Journal of Virology}, VOLUME = {81}, NUMBER = {20}, PAGES = {11507--11519}, }
Endnote
%0 Journal Article %A Ceccherini-Silberstein, Francesca %A Svicher, Valentina %A Sing, Tobias %A Artese, Anna %A Santoro, Maria Mercedes %A Forbici, Federica %A Bertoli, Ada %A Alcaro, Stefano %A Palamara, Guido %A Monforte, Antonella d'Arminio %A Balzarini, Jan %A Antinori, Andrea %A Lengauer, Thomas %A Perno, Carlo Federico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Characterization and structural analysis of novel mutations in human immunodeficiency virus type 1 reverse transcriptase involved in the regulation of restistance to nonnucleoside inhibitors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E81-E %F EDOC: 356613 %R 10.1128/JVI.00303-07 %F OTHER: Local-ID: C12573CC004A8E26-142B4822A3CC878EC12573CC003737EA-Lengauer2007r %D 2007 %* Review method: peer-reviewed %X Resistance to antivirals is a complex and dynamic phenomenon that involves more mutations than are currently known. Here, we characterize 10 additional mutations (L74V, K101Q, I135M/T, V179I, H221Y, K223E/Q, and L228H/R) in human immunodeficiency virus type 1 (HIV-1) reverse transcriptase which are involved in the regulation of resistance to nonnucleoside reverse transcriptase inhibitors (NNRTIs). These mutations are strongly associated with NNRTI failure and strongly correlate with the classical NNRTI resistance mutations in a data set of 1,904 HIV-1 B-subtype pol sequences from 758 drug-na&#239;ve patients, 592 nucleoside reverse transcriptase inhibitor (NRTI)-treated but NNRTI-na&#239;ve patients, and 554 patients treated with both NRTIs and NNRTIs. In particular, L74V and H221Y, positively correlated with Y181C, were associated with an increase in Y181C-mediated resistance to nevirapine, while I135M/T mutations, positively correlated with K103N, were associated with an increase in K103N-mediated resistance to efavirenz. In addition, the presence of the I135T polymorphism in NNRTI-na&#239;ve patients significantly correlated with the appearance of K103N in cases of NNRTI failure, suggesting that I135T may represent a crucial determinant of NNRTI resistance evolution. Molecular dynamics simulations show that I135T can contribute to the stabilization of the K103N-induced closure of the NNRTI binding pocket by reducing the distance and increasing the number of hydrogen bonds between 103N and 188Y. H221Y also showed negative correlations with type 2 thymidine analogue mutations (TAM2s); its copresence with the TAM2s was associated with a higher level of zidovudine susceptibility. Our study reinforces the complexity of NNRTI resistance and the significant interplay between NRTI- and NNRTI-selected mutations. Mutations beyond those currently known to confer resistance should be considered for a better prediction of clinical response to reverse transcriptase inhibitors and for the development of more efficient new-generation NNRTIs. %J Journal of Virology %V 81 %N 20 %& 11507 %P 11507 - 11519 %@ false
693. Dietzen M: An Additive Tree-based Approach to the Prediction of the Strength of Acidity for Drug-like Molecules. Universität des Saarlandes; 2007.
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@mastersthesis{Dietzen2007, TITLE = {An Additive Tree-based Approach to the Prediction of the Strength of Acidity for Drug-like Molecules}, AUTHOR = {Dietzen, Matthias}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Dietzen, Matthias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An Additive Tree-based Approach to the Prediction of the Strength of Acidity for Drug-like Molecules : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FCA6-D %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
694. Domingues FS, Rahnenführer J, Lengauer T: Conformational Analysis of Alternative Protein Structures. Bioinformatics 2007, 23.
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@article{Domingues2007b, TITLE = {Conformational Analysis of Alternative Protein Structures}, AUTHOR = {Domingues, Francisco S. and Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btm499}, LOCALID = {Local-ID: C12573CC004A8E26-D54541FD31C7CFFFC12573B7004EF1B3-Domingues2007b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Bioinformatics}, VOLUME = {23}, NUMBER = {23}, PAGES = {3131--3138}, }
Endnote
%0 Journal Article %A Domingues, Francisco S. %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Conformational Analysis of Alternative Protein Structures : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1EB5-9 %F EDOC: 356561 %R 10.1093/bioinformatics/btm499 %F OTHER: Local-ID: C12573CC004A8E26-D54541FD31C7CFFFC12573B7004EF1B3-Domingues2007b %D 2007 %* Review method: peer-reviewed %J Bioinformatics %V 23 %N 23 %& 3131 %P 3131 - 3138 %I Oxford University Press %C Oxford %@ false %U https://doi.org/10.1093/bioinformatics/btm499
695. Domingues FS, Lengauer T: Inferring Protein Function from Protein Structure. In Bioinformatics - From Genomes to Therapies 3 The Holy Grail: Molecular Function. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{S.Domingues2006, TITLE = {Inferring Protein Function from Protein Structure}, AUTHOR = {Domingues, Francisco S. and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-81BEEB27E2842CFAC12572A4005F749F-S.Domingues2006}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 3. The Holy Grail: Molecular Function}, EDITOR = {Lengauer, Thomas}, PAGES = {1211--1252}, }
Endnote
%0 Book Section %A Domingues, Francisco S. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inferring Protein Function from Protein Structure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F94-B %F EDOC: 356618 %F OTHER: Local-ID: C12573CC004A8E26-81BEEB27E2842CFAC12572A4005F749F-S.Domingues2006 %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 3. The Holy Grail: Molecular Function %E Lengauer, Thomas %P 1211 - 1252 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
696. Emig D: The Impact of Alternative Splicing on Protein Interaction Networks. Eberhard Karls Universität Tübingen; 2007.
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@mastersthesis{Emig2007a, TITLE = {The Impact of Alternative Splicing on Protein Interaction Networks}, AUTHOR = {Emig, Dorothea}, LANGUAGE = {eng}, SCHOOL = {Eberhard Karls Universit{\"a}t T{\"u}bingen}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, TYPE = {Diploma thesis}, }
Endnote
%0 Thesis %A Emig, Dorothea %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The Impact of Alternative Splicing on Protein Interaction Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDE0-3 %I Eberhard Karls Universit&#228;t T&#252;bingen %C Saarbr&#252;cken %D 2007 %V diploma %9 diploma
697. Feuerbach L: Towards Comparative Epigenomics: A Pilot Study on DNA Methylation of CpG Islands on Human Chromosome 21. Universität des Saarlandes; 2007.
Abstract
Over the last year the research on epigenetics has been intensified, as the involvement of epigenetic mechanisms in human diseases has become evident. With the generation of the first genome-wide datasets, the demand for appropriate tools for their automated analysis begins to form. During the same period an exponential growth of public available genome assemblies, has been triggered by the development and spread of efficient DNA sequencing technologies. In consequence of this situation a new scientific discipline is forming, for which the term �comparative epigenomics� can be coined. In this thesis a novel computational pipeline is presented, which enables the in silico analysis of the evolutionary development of large scale datasets of genomic regions. In a pilot study on datasets of CpG islands on human chromosome 21, this pipeline is used to study the conservation of the DNA sequence, DNA structure, DNA base composition and of putative epigenetic footprints of DNA methylation in homologous regions in genome assemblies of 17 vertebrate species. Furthermore, recent machine learning approaches are applied to investigate in how far computational methods for the prediction of the methylation status of CpG islands can be enhanced, by information from the comparative epigenomics field.
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@mastersthesis{Feuerbach2007, TITLE = {Towards Comparative Epigenomics: A Pilot Study on {DNA} Methylation of {CpG} Islands on Human Chromosome 21}, AUTHOR = {Feuerbach, Lars}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Over the last year the research on epigenetics has been intensified, as the involvement of epigenetic mechanisms in human diseases has become evident. With the generation of the first genome-wide datasets, the demand for appropriate tools for their automated analysis begins to form. During the same period an exponential growth of public available genome assemblies, has been triggered by the development and spread of efficient DNA sequencing technologies. In consequence of this situation a new scientific discipline is forming, for which the term {\diamond}comparative epigenomics{\diamond} can be coined. In this thesis a novel computational pipeline is presented, which enables the in silico analysis of the evolutionary development of large scale datasets of genomic regions. In a pilot study on datasets of CpG islands on human chromosome 21, this pipeline is used to study the conservation of the DNA sequence, DNA structure, DNA base composition and of putative epigenetic footprints of DNA methylation in homologous regions in genome assemblies of 17 vertebrate species. Furthermore, recent machine learning approaches are applied to investigate in how far computational methods for the prediction of the methylation status of CpG islands can be enhanced, by information from the comparative epigenomics field.}, }
Endnote
%0 Thesis %A Feuerbach, Lars %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards Comparative Epigenomics: A Pilot Study on DNA Methylation of CpG Islands on Human Chromosome 21 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FC71-3 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master %X Over the last year the research on epigenetics has been intensified, as the involvement of epigenetic mechanisms in human diseases has become evident. With the generation of the first genome-wide datasets, the demand for appropriate tools for their automated analysis begins to form. During the same period an exponential growth of public available genome assemblies, has been triggered by the development and spread of efficient DNA sequencing technologies. In consequence of this situation a new scientific discipline is forming, for which the term &#65533;comparative epigenomics&#65533; can be coined. In this thesis a novel computational pipeline is presented, which enables the in silico analysis of the evolutionary development of large scale datasets of genomic regions. In a pilot study on datasets of CpG islands on human chromosome 21, this pipeline is used to study the conservation of the DNA sequence, DNA structure, DNA base composition and of putative epigenetic footprints of DNA methylation in homologous regions in genome assemblies of 17 vertebrate species. Furthermore, recent machine learning approaches are applied to investigate in how far computational methods for the prediction of the methylation status of CpG islands can be enhanced, by information from the comparative epigenomics field.
698. Flockerzi A, Maydt J, Frank O, Ruggieri A, Maldener E, Seifarth W, Medstrand P, Lengauer T, Meyerhans A, Leib-Mosch C, Meese E, Mayer J: Expression pattern analysis of transcribed HERV sequences is complicated by ex vitvo recombination. Retrovirology 2007, 4.
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@article{Lengauer2007m, TITLE = {Expression pattern analysis of transcribed {HERV} sequences is complicated by ex vitvo recombination}, AUTHOR = {Flockerzi, Aline and Maydt, Jochen and Frank, Oliver and Ruggieri, Alessia and Maldener, Esther and Seifarth, Wolfgang and Medstrand, Patrik and Lengauer, Thomas and Meyerhans, Andreas and Leib-Mosch, Christine and Meese, Eckart and Mayer, Jens}, LANGUAGE = {eng}, ISSN = {1742-4690}, DOI = {10.1186/1742-4690-4-39}, LOCALID = {Local-ID: C12573CC004A8E26-ED32C45DA204D1ABC12573CC00359BE8-Lengauer2007m}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Retrovirology}, VOLUME = {4}, NUMBER = {1}, PAGES = {39.1--39.12}, }
Endnote
%0 Journal Article %A Flockerzi, Aline %A Maydt, Jochen %A Frank, Oliver %A Ruggieri, Alessia %A Maldener, Esther %A Seifarth, Wolfgang %A Medstrand, Patrik %A Lengauer, Thomas %A Meyerhans, Andreas %A Leib-Mosch, Christine %A Meese, Eckart %A Mayer, Jens %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Expression pattern analysis of transcribed HERV sequences is complicated by ex vitvo recombination : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F2A-C %F EDOC: 356612 %R 10.1186/1742-4690-4-39 %F OTHER: Local-ID: C12573CC004A8E26-ED32C45DA204D1ABC12573CC00359BE8-Lengauer2007m %D 2007 %* Review method: peer-reviewed %J Retrovirology %V 4 %N 1 %& 39.1 %P 39.1 - 39.12 %@ false
699. Franke A, Hampe J, Rosenstiel P, Becker C, Wagner F, Häsler R, Little RD, Huse K, Ruether A, Balschun T, Wittig M, ElSharawy A, Mayr G, Albrecht M, Prescott NJ, Onnie CM, Fournier H, Keith T, Radelof U, Platzer M, Mathew CG, Stoll M, Krawczak M, Nürnberg P, Schreiber S: Systematic association mapping identifies NELL1 as a novel IBD disease gene. PLoS ONE 2007, 2.
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@article{Albrecht2007h, TITLE = {Systematic association mapping identifies {NELL1} as a novel {IBD} disease gene}, AUTHOR = {Franke, Andre and Hampe, Jochen and Rosenstiel, Philip and Becker, Christoph and Wagner, Florian and H{\"a}sler, Robert and Little, Randall D. and Huse, Klaus and Ruether, Andreas and Balschun, Tobias and Wittig, Michael and ElSharawy, Abdou and Mayr, Gabriele and Albrecht, Mario and Prescott, Natalie J. and Onnie, Clive M. and Fournier, H{\'e}l{\`e}ne and Keith, Tim and Radelof, Uwe and Platzer, Matthias and Mathew, Christopher G. and Stoll, Monika and Krawczak, Michael and N{\"u}rnberg, Peter and Schreiber, Stefan}, LANGUAGE = {eng}, LOCALID = {Local-ID: C12573CC004A8E26-EE184396B344ECB1C125733D0066E0B4-Albrecht2007h}, YEAR = {2007}, DATE = {2007}, JOURNAL = {PLoS ONE}, VOLUME = {2}, NUMBER = {8}, PAGES = {e691.1--13}, }
Endnote
%0 Journal Article %A Franke, Andre %A Hampe, Jochen %A Rosenstiel, Philip %A Becker, Christoph %A Wagner, Florian %A H&#228;sler, Robert %A Little, Randall D. %A Huse, Klaus %A Ruether, Andreas %A Balschun, Tobias %A Wittig, Michael %A ElSharawy, Abdou %A Mayr, Gabriele %A Albrecht, Mario %A Prescott, Natalie J. %A Onnie, Clive M. %A Fournier, H&#233;l&#232;ne %A Keith, Tim %A Radelof, Uwe %A Platzer, Matthias %A Mathew, Christopher G. %A Stoll, Monika %A Krawczak, Michael %A N&#252;rnberg, Peter %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Systematic association mapping identifies NELL1 as a novel IBD disease gene : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20EC-F %F EDOC: 356587 %F OTHER: Local-ID: C12573CC004A8E26-EE184396B344ECB1C125733D0066E0B4-Albrecht2007h %D 2007 %* Review method: peer-reviewed %J PLoS ONE %V 2 %N 8 %& e691.1 %P e691.1 - 13
700. Haid C: BSIFlex: Binding Site Identification Including Protein Flexibility. Universität des Saarlandes; 2007.
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@mastersthesis{Haid2007, TITLE = {{BSIFlex}: Binding Site Identification Including Protein Flexibility}, AUTHOR = {Haid, Carla}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Haid, Carla %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T BSIFlex: Binding Site Identification Including Protein Flexibility : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FCB8-5 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
701. Hampe J, Franke A, Rosenstiel P, Till A, Teuber M, Huse K, Albrecht M, Mayr G, De La Vega FM, Briggs J, Günther S, Prescott NJ, Onnie CM, Häsler R, Sipos B, Fölsch UR, Lengauer T, Platzer M, Mathew CG, Krawczak M, Schreiber S: A genome-wide association scan of nonsynonymous SNPs identifies a susceptibility variant for Crohn disease in ATG16L1. Nature Genetics 2007, 39.
Abstract
We performed a genome-wide association study of 19,779 nonsynonymous SNPs in 735 individuals with Crohn disease and 368 controls. A total of 7,159 of these SNPs were informative. We followed up on all 72 SNPs with P 0.01 with an allele-based disease association test in 380 independent Crohn disease trios, 498 Crohn disease singleton cases and 1,032 controls. Disease association of rs2241880 in the autophagy-related 16-like 1 gene (ATG16L1) was replicated in these samples (P = 4.0 10-8) and confirmed in a UK case-control sample (P = 0.0004). By haplotype and regression analysis, we found that marker rs2241880, a coding SNP (T300A), carries virtually all the disease risk exerted by the ATG16L1 locus. The ATG16L1 gene encodes a protein in the autophagosome pathway that processes intracellular bacteria. We found a statistically significant interaction with respect to Crohn disease risk between rs2241880 and the established CARD15 susceptibility variants (P = 0.039). Together with the lack of association between rs2241880 and ulcerative colitis (P > 0.4), these data suggest that the underlying biological process may be specific to Crohn disease.
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@article{Albrecht2007a, TITLE = {A genome-wide association scan of nonsynonymous {SNPs} identifies a susceptibility variant for Crohn disease in {ATG16L1}}, AUTHOR = {Hampe, Jochen and Franke, Andre and Rosenstiel, Philip and Till, Andreas and Teuber, Markus and Huse, Klaus and Albrecht, Mario and Mayr, Gabriele and De La Vega, Francisco M. and Briggs, Jason and G{\"u}nther, Simone and Prescott, Natalie J. and Onnie, Clive M. and H{\"a}sler, Robert and Sipos, Bence and F{\"o}lsch, Ulrich R. and Lengauer, Thomas and Platzer, Matthias and Mathew, Christopher G. and Krawczak, Michael and Schreiber, Stefan}, LANGUAGE = {eng}, DOI = {10.1038/ng1954}, LOCALID = {Local-ID: C12573CC004A8E26-D974ADE8F150F765C125725F00324C1A-Albrecht2007a}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {We performed a genome-wide association study of 19,779 nonsynonymous SNPs in 735 individuals with Crohn disease and 368 controls. A total of 7,159 of these SNPs were informative. We followed up on all 72 SNPs with P 0.01 with an allele-based disease association test in 380 independent Crohn disease trios, 498 Crohn disease singleton cases and 1,032 controls. Disease association of rs2241880 in the autophagy-related 16-like 1 gene (ATG16L1) was replicated in these samples (P = 4.0 10-8) and confirmed in a UK case-control sample (P = 0.0004). By haplotype and regression analysis, we found that marker rs2241880, a coding SNP (T300A), carries virtually all the disease risk exerted by the ATG16L1 locus. The ATG16L1 gene encodes a protein in the autophagosome pathway that processes intracellular bacteria. We found a statistically significant interaction with respect to Crohn disease risk between rs2241880 and the established CARD15 susceptibility variants (P = 0.039). Together with the lack of association between rs2241880 and ulcerative colitis (P > 0.4), these data suggest that the underlying biological process may be specific to Crohn disease.}, JOURNAL = {Nature Genetics}, VOLUME = {39}, NUMBER = {2}, PAGES = {207--211}, }
Endnote
%0 Journal Article %A Hampe, Jochen %A Franke, Andre %A Rosenstiel, Philip %A Till, Andreas %A Teuber, Markus %A Huse, Klaus %A Albrecht, Mario %A Mayr, Gabriele %A De La Vega, Francisco M. %A Briggs, Jason %A G&#252;nther, Simone %A Prescott, Natalie J. %A Onnie, Clive M. %A H&#228;sler, Robert %A Sipos, Bence %A F&#246;lsch, Ulrich R. %A Lengauer, Thomas %A Platzer, Matthias %A Mathew, Christopher G. %A Krawczak, Michael %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A genome-wide association scan of nonsynonymous SNPs identifies a susceptibility variant for Crohn disease in ATG16L1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1DEE-2 %F EDOC: 356622 %R 10.1038/ng1954 %F OTHER: Local-ID: C12573CC004A8E26-D974ADE8F150F765C125725F00324C1A-Albrecht2007a %D 2007 %* Review method: peer-reviewed %X We performed a genome-wide association study of 19,779 nonsynonymous SNPs in 735 individuals with Crohn disease and 368 controls. A total of 7,159 of these SNPs were informative. We followed up on all 72 SNPs with P 0.01 with an allele-based disease association test in 380 independent Crohn disease trios, 498 Crohn disease singleton cases and 1,032 controls. Disease association of rs2241880 in the autophagy-related 16-like 1 gene (ATG16L1) was replicated in these samples (P = 4.0 10-8) and confirmed in a UK case-control sample (P = 0.0004). By haplotype and regression analysis, we found that marker rs2241880, a coding SNP (T300A), carries virtually all the disease risk exerted by the ATG16L1 locus. The ATG16L1 gene encodes a protein in the autophagosome pathway that processes intracellular bacteria. We found a statistically significant interaction with respect to Crohn disease risk between rs2241880 and the established CARD15 susceptibility variants (P = 0.039). Together with the lack of association between rs2241880 and ulcerative colitis (P > 0.4), these data suggest that the underlying biological process may be specific to Crohn disease. %J Nature Genetics %V 39 %N 2 %& 207 %P 207 - 211
702. Hartmann C, Antes I, Lengauer T: IRECS: A new algorithm for the selection of most probable ensembles of side-chain conformations in protein models.Protein Science 2007, 16.
Abstract
We introduce a new algorithm, IRECS (Iterative REduction of Conformational Space), for identifying ensembles of most probable side-chain conformations for homology modeling. On the basis of a given rotamer library, IRECS ranks all side-chain rotamers of a protein according to the probability with which each side chain adopts the respective rotamer conformation. This ranking enables the user to select small rotamer sets that are most likely to contain a near-native rotamer for each side chain. IRECS can therefore act as a fast heuristic alternative to the Dead-End-Elimination algorithm (DEE). In contrast to DEE, IRECS allows for the selection of rotamer subsets of arbitrary size, thus being able to define structure ensembles for a protein. We show that the selection of more than one rotamer per side chain is generally meaningful, since the selected rotamers represent the conformational space of flexible side chains. A knowledge-based statistical potential ROTA was constructed for the IRECS algorithm. The potential was optimized to discriminate between side-chain conformations of native and rotameric decoys of protein structures. By restricting the number of rotamers per side chain to one, IRECS can optimize side chains for a single conformation model. The average accuracy of IRECS for the $\chi_1$ and $\chi_{1+2}$ dihedral angles amounts to 84.7\% and 71.6\%, respectively, using a 40 degrees cutoff. When we compared IRECS with SCWRL and SCAP, the performance of IRECS was comparable to that of both methods. IRECS and the ROTA potential are available for download from the URL http://irecs.bioinf.mpi-inf.mpg.de.
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@article{Hartmann2007, TITLE = {{IRECS}: A new algorithm for the selection of most probable ensembles of side-chain conformations in protein models.}, AUTHOR = {Hartmann, Christoph and Antes, Iris and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0961-8368}, DOI = {10.1110/ps.062658307}, LOCALID = {Local-ID: C12573CC004A8E26-8BD3BCE9CBA1676FC12573AE0055F3FC-Hartmann2007}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {We introduce a new algorithm, IRECS (Iterative REduction of Conformational Space), for identifying ensembles of most probable side-chain conformations for homology modeling. On the basis of a given rotamer library, IRECS ranks all side-chain rotamers of a protein according to the probability with which each side chain adopts the respective rotamer conformation. This ranking enables the user to select small rotamer sets that are most likely to contain a near-native rotamer for each side chain. IRECS can therefore act as a fast heuristic alternative to the Dead-End-Elimination algorithm (DEE). In contrast to DEE, IRECS allows for the selection of rotamer subsets of arbitrary size, thus being able to define structure ensembles for a protein. We show that the selection of more than one rotamer per side chain is generally meaningful, since the selected rotamers represent the conformational space of flexible side chains. A knowledge-based statistical potential ROTA was constructed for the IRECS algorithm. The potential was optimized to discriminate between side-chain conformations of native and rotameric decoys of protein structures. By restricting the number of rotamers per side chain to one, IRECS can optimize side chains for a single conformation model. The average accuracy of IRECS for the $\chi_1$ and $\chi_{1+2}$ dihedral angles amounts to 84.7\% and 71.6\%, respectively, using a 40 degrees cutoff. When we compared IRECS with SCWRL and SCAP, the performance of IRECS was comparable to that of both methods. IRECS and the ROTA potential are available for download from the URL http://irecs.bioinf.mpi-inf.mpg.de.}, JOURNAL = {Protein Science}, VOLUME = {16}, PAGES = {1294--1307}, }
Endnote
%0 Journal Article %A Hartmann, Christoph %A Antes, Iris %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T IRECS: A new algorithm for the selection of most probable ensembles of side-chain conformations in protein models. : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1FA7-0 %F EDOC: 356637 %R 10.1110/ps.062658307 %F OTHER: Local-ID: C12573CC004A8E26-8BD3BCE9CBA1676FC12573AE0055F3FC-Hartmann2007 %D 2007 %* Review method: peer-reviewed %X We introduce a new algorithm, IRECS (Iterative REduction of Conformational Space), for identifying ensembles of most probable side-chain conformations for homology modeling. On the basis of a given rotamer library, IRECS ranks all side-chain rotamers of a protein according to the probability with which each side chain adopts the respective rotamer conformation. This ranking enables the user to select small rotamer sets that are most likely to contain a near-native rotamer for each side chain. IRECS can therefore act as a fast heuristic alternative to the Dead-End-Elimination algorithm (DEE). In contrast to DEE, IRECS allows for the selection of rotamer subsets of arbitrary size, thus being able to define structure ensembles for a protein. We show that the selection of more than one rotamer per side chain is generally meaningful, since the selected rotamers represent the conformational space of flexible side chains. A knowledge-based statistical potential ROTA was constructed for the IRECS algorithm. The potential was optimized to discriminate between side-chain conformations of native and rotameric decoys of protein structures. By restricting the number of rotamers per side chain to one, IRECS can optimize side chains for a single conformation model. The average accuracy of IRECS for the $\chi_1$ and $\chi_{1+2}$ dihedral angles amounts to 84.7\% and 71.6\%, respectively, using a 40 degrees cutoff. When we compared IRECS with SCWRL and SCAP, the performance of IRECS was comparable to that of both methods. IRECS and the ROTA potential are available for download from the URL http://irecs.bioinf.mpi-inf.mpg.de. %J Protein Science %V 16 %& 1294 %P 1294 - 1307 %@ false
703. Hofmann WP, Welsch C, Takahashi Y, Miyajima H, Mihm U, Krick C, Zeuzem S, Sarrazin C: Identification and in silico characterization of a novel compound heterozygosty associated with hereditary aceruloplasminemia. Scandinavian Journal of Gastroenterology 2007, 42.
Abstract
Background. Hereditary aceruloplasminemia is an adult-onset autosomal recessive disease characterized by increased iron overload in the liver, pancreas, retina, and central nervous system. So far, 45 families with cases of aceruloplasminemia have been reported world-wide and mainly missense and nonsense mutations in the ceruloplasmin gene were detected. Material and methods. Here, we report the identification, clinical characterization, and in silico analysis of a novel compound heterozygosity in the ceruloplasmin gene of a 31-year-old man with iron overload. Results. Increased serum ferritin levels, elevated iron saturation, as well as results of iron quantification in the liver and magnetic resonance imaging-based measurement of T2 relaxation times of the substantia nigra consistently suggested iron overload. By sequencing the ceruloplasmin gene, so far unknown nucleotide replacements G229C, and C2131A were detected in exons 2 and 12, respectively. In silico analyses showed that the resulting amino acid changes Asp58His and Gln692Lys are located at highly conserved positions. The Asp58His mutation is located on the surface of the protein, alters polarity, and may interfere with copper incorporation or ceruloplasmin trafficking. The Gln692Lys mutation is mapped to a -strand of domain 4 and may lead to conformational change of the cupredoxin fold. Conclusions. As causative for aceruloplasminemia, a formerly unknown compound heterozygosity in the ceruloplasmin gene was identified. In silico characterization suggests an impact on ceruloplasmin conformation and function.
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@article{HofmannWelsch2007, TITLE = {Identification and in silico characterization of a novel compound heterozygosty associated with hereditary aceruloplasminemia}, AUTHOR = {Hofmann, Wolf Peter and Welsch, Christoph and Takahashi, Yoshitomo and Miyajima, Hiroaki and Mihm, Ulrike and Krick, Christoph and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {0036-5521}, DOI = {10.1080/00365520701278810}, LOCALID = {Local-ID: C12573CC004A8E26-F677193A3AAE8DAEC12573EE004A1E79-HofmannWelsch2007}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Background. Hereditary aceruloplasminemia is an adult-onset autosomal recessive disease characterized by increased iron overload in the liver, pancreas, retina, and central nervous system. So far, 45 families with cases of aceruloplasminemia have been reported world-wide and mainly missense and nonsense mutations in the ceruloplasmin gene were detected. Material and methods. Here, we report the identification, clinical characterization, and in silico analysis of a novel compound heterozygosity in the ceruloplasmin gene of a 31-year-old man with iron overload. Results. Increased serum ferritin levels, elevated iron saturation, as well as results of iron quantification in the liver and magnetic resonance imaging-based measurement of T2 relaxation times of the substantia nigra consistently suggested iron overload. By sequencing the ceruloplasmin gene, so far unknown nucleotide replacements G229C, and C2131A were detected in exons 2 and 12, respectively. In silico analyses showed that the resulting amino acid changes Asp58His and Gln692Lys are located at highly conserved positions. The Asp58His mutation is located on the surface of the protein, alters polarity, and may interfere with copper incorporation or ceruloplasmin trafficking. The Gln692Lys mutation is mapped to a -strand of domain 4 and may lead to conformational change of the cupredoxin fold. Conclusions. As causative for aceruloplasminemia, a formerly unknown compound heterozygosity in the ceruloplasmin gene was identified. In silico characterization suggests an impact on ceruloplasmin conformation and function.}, JOURNAL = {Scandinavian Journal of Gastroenterology}, VOLUME = {42}, NUMBER = {9}, PAGES = {1088--1094}, }
Endnote
%0 Journal Article %A Hofmann, Wolf Peter %A Welsch, Christoph %A Takahashi, Yoshitomo %A Miyajima, Hiroaki %A Mihm, Ulrike %A Krick, Christoph %A Zeuzem, Stefan %A Sarrazin, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification and in silico characterization of a novel compound heterozygosty associated with hereditary aceruloplasminemia : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F78-B %F EDOC: 356571 %R 10.1080/00365520701278810 %F OTHER: Local-ID: C12573CC004A8E26-F677193A3AAE8DAEC12573EE004A1E79-HofmannWelsch2007 %D 2007 %* Review method: peer-reviewed %X Background. Hereditary aceruloplasminemia is an adult-onset autosomal recessive disease characterized by increased iron overload in the liver, pancreas, retina, and central nervous system. So far, 45 families with cases of aceruloplasminemia have been reported world-wide and mainly missense and nonsense mutations in the ceruloplasmin gene were detected. Material and methods. Here, we report the identification, clinical characterization, and in silico analysis of a novel compound heterozygosity in the ceruloplasmin gene of a 31-year-old man with iron overload. Results. Increased serum ferritin levels, elevated iron saturation, as well as results of iron quantification in the liver and magnetic resonance imaging-based measurement of T2 relaxation times of the substantia nigra consistently suggested iron overload. By sequencing the ceruloplasmin gene, so far unknown nucleotide replacements G229C, and C2131A were detected in exons 2 and 12, respectively. In silico analyses showed that the resulting amino acid changes Asp58His and Gln692Lys are located at highly conserved positions. The Asp58His mutation is located on the surface of the protein, alters polarity, and may interfere with copper incorporation or ceruloplasmin trafficking. The Gln692Lys mutation is mapped to a -strand of domain 4 and may lead to conformational change of the cupredoxin fold. Conclusions. As causative for aceruloplasminemia, a formerly unknown compound heterozygosity in the ceruloplasmin gene was identified. In silico characterization suggests an impact on ceruloplasmin conformation and function. %J Scandinavian Journal of Gastroenterology %V 42 %N 9 %& 1088 %P 1088 - 1094 %@ false
704. Hofmann WP, Fernandez B, Herrmann E, Welsch C, Mihm U, Kronenberg B, Feldmann G, Spengler U, Zeuzem S, Sarrazin C: Somatic hypermutation and mRNA expression levels of the BCL-6 gene in patients with hepatitis C virus-associated lymphoproliferative diseases. Journal of Viral Hepatitis 2007, 14.
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@article{HofmannFernandez2007, TITLE = {Somatic hypermutation and {mRNA} expression levels of the {BCL}-6 gene in patients with hepatitis C virus-associated lymphoproliferative diseases}, AUTHOR = {Hofmann, Wolf Peter and Fernandez, B. and Herrmann, E. and Welsch, Christoph and Mihm, Ulrike and Kronenberg, B. and Feldmann, G. and Spengler, U. and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {1352-0504}, DOI = {10.1111/j.1365-2893.2006.00833.x}, LOCALID = {Local-ID: C12573CC004A8E26-3357BDBE182186F3C12573EE004DB399-HofmannFernandez2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Viral Hepatitis}, VOLUME = {14}, NUMBER = {7}, PAGES = {484--491}, }
Endnote
%0 Journal Article %A Hofmann, Wolf Peter %A Fernandez, B. %A Herrmann, E. %A Welsch, Christoph %A Mihm, Ulrike %A Kronenberg, B. %A Feldmann, G. %A Spengler, U. %A Zeuzem, Stefan %A Sarrazin, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Somatic hypermutation and mRNA expression levels of the BCL-6 gene in patients with hepatitis C virus-associated lymphoproliferative diseases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20BB-C %F EDOC: 356614 %R 10.1111/j.1365-2893.2006.00833.x %F OTHER: Local-ID: C12573CC004A8E26-3357BDBE182186F3C12573EE004DB399-HofmannFernandez2007 %D 2007 %* Review method: peer-reviewed %J Journal of Viral Hepatitis %V 14 %N 7 %& 484 %P 484 - 491 %@ false
705. Kämper A, Rognan D, Lengauer T: Lead Identification by Virtual Screening. In Bioinformatics - From Genomes to Therapies 2 Getting at the Inner Workings: Molecular Interactions. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{Kaemper2007a, TITLE = {Lead Identification by Virtual Screening}, AUTHOR = {K{\"a}mper, Andreas and Rognan, Didier and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-D10CCE81246C3C7BC12572A0007601D6-Kaemper2007a}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions}, EDITOR = {Lengauer, Thomas}, PAGES = {651--704}, }
Endnote
%0 Book Section %A K&#228;mper, Andreas %A Rognan, Didier %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Lead Identification by Virtual Screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1FAD-4 %F EDOC: 356592 %F OTHER: Local-ID: C12573CC004A8E26-D10CCE81246C3C7BC12572A0007601D6-Kaemper2007a %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions %E Lengauer, Thomas %P 651 - 704 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
706. Kamradt J, Jung V, Wahrheit K, Tolosi L, Rahnenführer J, Schilling M, Walker R, Davis S, Stoeckle M, Meltzer P, Wullich B: Detection of Novel Amplicons in Prostate Cancer by Comprehensive Genomic Profiling of Prostate Cancer Cell Lines Using Oligonucleotide-Based ArrayCGH. Plosone 2007, 2.
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@article{Kamradt2007, TITLE = {Detection of Novel Amplicons in Prostate Cancer by Comprehensive Genomic Profiling of Prostate Cancer Cell Lines Using Oligonucleotide-Based {ArrayCGH}}, AUTHOR = {Kamradt, J{\"o}rn and Jung, Volker and Wahrheit, Kerstin and Tolosi, Laura and Rahnenf{\"u}hrer, J{\"o}rg and Schilling, Martin and Walker, Robert and Davis, Sean and Stoeckle, Michael and Meltzer, Paul and Wullich, Bernd}, LANGUAGE = {eng}, DOI = {10.1371/journal.pone.0000769}, LOCALID = {Local-ID: C12573CC004A8E26-36328188A6114A36C12573AE00557690-Kamradt2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Plosone}, VOLUME = {2}, NUMBER = {8}, PAGES = {1--7}, }
Endnote
%0 Journal Article %A Kamradt, J&#246;rn %A Jung, Volker %A Wahrheit, Kerstin %A Tolosi, Laura %A Rahnenf&#252;hrer, J&#246;rg %A Schilling, Martin %A Walker, Robert %A Davis, Sean %A Stoeckle, Michael %A Meltzer, Paul %A Wullich, Bernd %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Detection of Novel Amplicons in Prostate Cancer by Comprehensive Genomic Profiling of Prostate Cancer Cell Lines Using Oligonucleotide-Based ArrayCGH : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1EDC-2 %F EDOC: 356533 %R 10.1371/journal.pone.0000769 %F OTHER: Local-ID: C12573CC004A8E26-36328188A6114A36C12573AE00557690-Kamradt2007 %D 2007 %J Plosone %V 2 %N 8 %& 1 %P 1 - 7
707. Ketter R, Kim Y-J, Storck S, Rahnenführer J, Romeike BFM, Steudel W-I, Zang KD, Henn W: Hyperdiploidy defines a distinct cytogenetic entity of meningiomas. Journal of Neuro-Oncology 2007, 83.
Abstract
Background  The most common chromosomal aberration found in meningiomas is monosomy 22. Progression and recurrence of meningiomas are usually associated with additional chromosome losses. Rarely, however, meningiomas have strongly hyperdiploid karyotypes with over 50 chromosomes; the objective of this study was to explore the cytogenetic and histopathologic patterns as well as the clinical significance of hyperdiploidy in meningiomas. Methods  Within a series of 677 consecutive meningiomas, we identified a subgroup comprising 16 cases that display a strikingly uniform pattern of hyperdiploidy mostly without structural chromosome rearrangements, as shown by banding techniques and, in the single structurally aberrant case, spectral karyotyping. Results  These meningiomas each have between 50 and 56 chromosomes, with trisomy 12 (14/16 cases), trisomy 20 (13/16 cases), trisomy 5 (12/16 cases), and trisomy 17 (10/16 cases). Histomorphologically, hyperdiploid meningiomas feature a heterogeneous phenotype. However, they are associated with a higher histological grade, and decreased expression of alkaline phosphatase as compared to meningiomas with typical karyotype. In two patients, recurrences were documented and three patients died of disease during the period of observation, indicating a worse prognosis of hyperdiploid than of cytogenetically typical meningiomas. Conclusion  We conclude that hyperdiploidy constitutes a small but clinically relevant entity of biologically aggressive meningiomas, which are cytogenetically distinguishable from the majority of common-type meningiomas.
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@article{Rahnenfuehrer2007d, TITLE = {Hyperdiploidy defines a distinct cytogenetic entity of meningiomas}, AUTHOR = {Ketter, Ralf and Kim, Yoo-Jin and Storck, Simone and Rahnenf{\"u}hrer, J{\"o}rg and Romeike, Bernd F.M. and Steudel, Wolf-Ingo and Zang, Klaus D. and Henn, Wolfram}, LANGUAGE = {eng}, ISSN = {0167-594X}, DOI = {10.1007/s11060-006-9318-7}, LOCALID = {Local-ID: C12573CC004A8E26-8BC307E4CA74179CC12572830032D2F0-Rahnenfuehrer2007d}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Background&#160;&#160;The most common chromosomal aberration found in meningiomas is monosomy 22. Progression and recurrence of meningiomas are usually associated with additional chromosome losses. Rarely, however, meningiomas have strongly hyperdiploid karyotypes with over 50 chromosomes; the objective of this study was to explore the cytogenetic and histopathologic patterns as well as the clinical significance of hyperdiploidy in meningiomas. Methods&#160;&#160;Within a series of 677 consecutive meningiomas, we identified a subgroup comprising 16 cases that display a strikingly uniform pattern of hyperdiploidy mostly without structural chromosome rearrangements, as shown by banding techniques and, in the single structurally aberrant case, spectral karyotyping. Results&#160;&#160;These meningiomas each have between 50 and 56 chromosomes, with trisomy 12 (14/16 cases), trisomy 20 (13/16 cases), trisomy 5 (12/16 cases), and trisomy 17 (10/16 cases). Histomorphologically, hyperdiploid meningiomas feature a heterogeneous phenotype. However, they are associated with a higher histological grade, and decreased expression of alkaline phosphatase as compared to meningiomas with typical karyotype. In two patients, recurrences were documented and three patients died of disease during the period of observation, indicating a worse prognosis of hyperdiploid than of cytogenetically typical meningiomas. Conclusion&#160;&#160;We conclude that hyperdiploidy constitutes a small but clinically relevant entity of biologically aggressive meningiomas, which are cytogenetically distinguishable from the majority of common-type meningiomas.}, JOURNAL = {Journal of Neuro-Oncology}, VOLUME = {83}, NUMBER = {2}, PAGES = {213--221}, }
Endnote
%0 Journal Article %A Ketter, Ralf %A Kim, Yoo-Jin %A Storck, Simone %A Rahnenf&#252;hrer, J&#246;rg %A Romeike, Bernd F.M. %A Steudel, Wolf-Ingo %A Zang, Klaus D. %A Henn, Wolfram %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Hyperdiploidy defines a distinct cytogenetic entity of meningiomas : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F73-6 %F EDOC: 356589 %R 10.1007/s11060-006-9318-7 %F OTHER: Local-ID: C12573CC004A8E26-8BC307E4CA74179CC12572830032D2F0-Rahnenfuehrer2007d %D 2007 %* Review method: peer-reviewed %X Background&#160;&#160;The most common chromosomal aberration found in meningiomas is monosomy 22. Progression and recurrence of meningiomas are usually associated with additional chromosome losses. Rarely, however, meningiomas have strongly hyperdiploid karyotypes with over 50 chromosomes; the objective of this study was to explore the cytogenetic and histopathologic patterns as well as the clinical significance of hyperdiploidy in meningiomas. Methods&#160;&#160;Within a series of 677 consecutive meningiomas, we identified a subgroup comprising 16 cases that display a strikingly uniform pattern of hyperdiploidy mostly without structural chromosome rearrangements, as shown by banding techniques and, in the single structurally aberrant case, spectral karyotyping. Results&#160;&#160;These meningiomas each have between 50 and 56 chromosomes, with trisomy 12 (14/16 cases), trisomy 20 (13/16 cases), trisomy 5 (12/16 cases), and trisomy 17 (10/16 cases). Histomorphologically, hyperdiploid meningiomas feature a heterogeneous phenotype. However, they are associated with a higher histological grade, and decreased expression of alkaline phosphatase as compared to meningiomas with typical karyotype. In two patients, recurrences were documented and three patients died of disease during the period of observation, indicating a worse prognosis of hyperdiploid than of cytogenetically typical meningiomas. Conclusion&#160;&#160;We conclude that hyperdiploidy constitutes a small but clinically relevant entity of biologically aggressive meningiomas, which are cytogenetically distinguishable from the majority of common-type meningiomas. %J Journal of Neuro-Oncology %V 83 %N 2 %& 213 %P 213 - 221 %@ false
708. Ketter R, Urbschat S, Henn W, Feiden W, Beerenwinkel N, Lengauer T, Steudel W-I, Zang KD, Rahnenführer J: Application of oncogenetic trees mixtures as a biostatistical model of the clonal cytogenetic evolution of meningiomas. International Journal of Cancer 2007, 121.
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@article{Lengauer2007n, TITLE = {Application of oncogenetic trees mixtures as a biostatistical model of the clonal cytogenetic evolution of meningiomas}, AUTHOR = {Ketter, Ralf and Urbschat, Steffi and Henn, Wolfram and Feiden, Wolfgang and Beerenwinkel, Niko and Lengauer, Thomas and Steudel, Wolf-Ingo and Zang, Klaus D. and Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, ISSN = {0020-7136}, DOI = {10.1002/ijc.22855}, LOCALID = {Local-ID: C12573CC004A8E26-6F05BC872276EA60C12573CC0035E75E-Lengauer2007n}, YEAR = {2007}, DATE = {2007}, JOURNAL = {International Journal of Cancer}, VOLUME = {121}, NUMBER = {7}, PAGES = {1473--1480}, }
Endnote
%0 Journal Article %A Ketter, Ralf %A Urbschat, Steffi %A Henn, Wolfram %A Feiden, Wolfgang %A Beerenwinkel, Niko %A Lengauer, Thomas %A Steudel, Wolf-Ingo %A Zang, Klaus D. %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Application of oncogenetic trees mixtures as a biostatistical model of the clonal cytogenetic evolution of meningiomas : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E1E-E %F EDOC: 356572 %R 10.1002/ijc.22855 %F OTHER: Local-ID: C12573CC004A8E26-6F05BC872276EA60C12573CC0035E75E-Lengauer2007n %D 2007 %* Review method: peer-reviewed %J International Journal of Cancer %V 121 %N 7 %& 1473 %P 1473 - 1480 %@ false
709. Kircher M: In Silico Analysis of MicroRNA Genes on Human Chromosome 14 and Mouse Chromosome 12. Universität des Saarlandes; 2007.
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@mastersthesis{Kircher2007, TITLE = {In Silico Analysis of Micro{RNA} Genes on Human Chromosome 14 and Mouse Chromosome 12}, AUTHOR = {Kircher, Martin}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Kircher, Martin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T In Silico Analysis of MicroRNA Genes on Human Chromosome 14 and Mouse Chromosome 12 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDD8-8 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
710. Korbel U: Identification of Symmetries in Molecules and Complexes. Universität des Saarlandes; 2007.
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@mastersthesis{Korbel2007, TITLE = {Identification of Symmetries in Molecules and Complexes}, AUTHOR = {Korbel, Ulli}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Korbel, Ulli %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of Symmetries in Molecules and Complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDD4-0 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
711. Kupfer B, Sing T, Schüffler P, Hall R, Kurz R, McKeown A, Schneweis K-E, Eberl W, Oldenburg J, Brackmann HH, Rockstroh JK, Spengler U, Däumer MP, Kaiser R, Lengauer T, Matz B: Fifteen years of Env C2V3C3 evolution in six individuals clonally infected with human immunodeficiency virus type 1. Journal of Medical Virology 2007, 79.
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@article{Lengauer2007p, TITLE = {Fifteen years of Env {C2V3C3} evolution in six individuals clonally infected with human immunodeficiency virus type 1}, AUTHOR = {Kupfer, Bernd and Sing, Tobias and Sch{\"u}ffler, Peter and Hall, Rabea and Kurz, Ralf and McKeown, Astrid and Schneweis, Karl-Eduard and Eberl, Wolfgang and Oldenburg, Johannes and Brackmann, Hans H. and Rockstroh, J{\"u}rgen K. and Spengler, Ulrich and D{\"a}umer, Martin P. and Kaiser, Rolf and Lengauer, Thomas and Matz, Bertfried}, LANGUAGE = {eng}, ISSN = {0146-6615}, DOI = {10.1002/jmv.20976}, LOCALID = {Local-ID: C12573CC004A8E26-8105876EA25132C5C12573CC00369295-Lengauer2007p}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Medical Virology}, VOLUME = {79}, NUMBER = {11}, PAGES = {1629--1639}, }
Endnote
%0 Journal Article %A Kupfer, Bernd %A Sing, Tobias %A Sch&#252;ffler, Peter %A Hall, Rabea %A Kurz, Ralf %A McKeown, Astrid %A Schneweis, Karl-Eduard %A Eberl, Wolfgang %A Oldenburg, Johannes %A Brackmann, Hans H. %A Rockstroh, J&#252;rgen K. %A Spengler, Ulrich %A D&#228;umer, Martin P. %A Kaiser, Rolf %A Lengauer, Thomas %A Matz, Bertfried %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Fifteen years of Env C2V3C3 evolution in six individuals clonally infected with human immunodeficiency virus type 1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F42-3 %F EDOC: 356559 %R 10.1002/jmv.20976 %F OTHER: Local-ID: C12573CC004A8E26-8105876EA25132C5C12573CC00369295-Lengauer2007p %D 2007 %* Review method: peer-reviewed %J Journal of Medical Virology %V 79 %N 11 %& 1629 %P 1629 - 1639 %@ false
712. Lengauer T (Ed): Bioinformatics - From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures. Weinheim, Germany: Wiley-VCH; 2007.
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@book{LengauerBioInf1_2007, TITLE = {Bioinformatics -- From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures}, EDITOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-29A4907E743B1520C1257282002FE4F4-LengauerBioInf1_2007}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, PAGES = {539}, }
Endnote
%0 Edited Book %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics - From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E6A-4 %F EDOC: 356621 %@ 3-527-31278-1 %F OTHER: Local-ID: C12573CC004A8E26-29A4907E743B1520C1257282002FE4F4-LengauerBioInf1_2007 %I Wiley-VCH %C Weinheim, Germany %D 2007 %P 539
713. Lengauer T, McKay BJM, Rost B: ISMB/ECCB 2007: The Premier Conference on Computational Biology. PLOS Computational Biology 2007, 3.
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@article{DBLP:journals/ploscb/LengauerMR07, TITLE = {{ISMB}/{ECCB} 2007: The Premier Conference on Computational Biology}, AUTHOR = {Lengauer, Thomas and McKay, B. J. Morrison and Rost, Burkhard}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/JOURNAL.PCBI.0030096}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2007}, DATE = {2007}, JOURNAL = {PLOS Computational Biology}, VOLUME = {3}, NUMBER = {5}, PAGES = {0779--0782}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A McKay, B. J. Morrison %A Rost, Burkhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T ISMB/ECCB 2007: The Premier Conference on Computational Biology : %G eng %U http://hdl.handle.net/21.11116/0000-000F-9998-9 %R 10.1371/JOURNAL.PCBI.0030096 %D 2007 %J PLOS Computational Biology %O PLOS Comput Biol %V 3 %N 5 %& 0779 %P 0779 - 0782 %I Public Library of Science %C San Francisco, CA %@ false %U https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.0030096&type=printable
714. Lengauer T: Bioinformatik. In Technologiefüher. Düsseldorf: VID; 2007.
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@incollection{Lengauer2007m2, TITLE = {{Bioinformatik}}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {deu}, PUBLISHER = {VID}, ADDRESS = {D{\"u}sseldorf}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Technologief{\"u}her}, EDITOR = {Bullinger, H.J.}, PAGES = {4}, }
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%0 Book Section %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatik : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0019-FAEB-3 %D 2007 %B Technologief&#252;her %E Bullinger, H.J. %P 4 %I VID %C D&#252;sseldorf
715. Lengauer T: Strategiekonzept “Molekulare Bioinformatik.”In Informatikforschung in Deutschland. Heidelberg: Springer; 2007.
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@incollection{Lengauer2007n2, TITLE = {{Strategiekonzept "Molekulare Bioinformatik"}}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {deu}, DOI = {10.1007/978-3-540-76550-9}, PUBLISHER = {Springer}, ADDRESS = {Heidelberg}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Informatikforschung in Deutschland}, EDITOR = {Reuse, Bernd and Vollmar, Roland}, PAGES = {9}, }
Endnote
%0 Book Section %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Strategiekonzept "Molekulare Bioinformatik" : %G deu %U http://hdl.handle.net/11858/00-001M-0000-0019-FAD3-8 %R 10.1007/978-3-540-76550-9 %D 2007 %B Informatikforschung in Deutschland %E Reuse, Bernd; Vollmar, Roland %P 9 %I Springer %C Heidelberg
716. Lengauer T: Future Trends. In Bioinformatics - From Genomes to Therapies 3 The Holy Grail: Molecular Function. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{Lengauer2007g, TITLE = {Future Trends}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-0003227F797FE751C12572AA0045CD00-Lengauer2007g}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 3. The Holy Grail: Molecular Function}, EDITOR = {Lengauer, Thomas}, PAGES = {1651--1687}, }
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%0 Book Section %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Future Trends : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F4D-D %F EDOC: 356579 %F OTHER: Local-ID: C12573CC004A8E26-0003227F797FE751C12572AA0045CD00-Lengauer2007g %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 3. The Holy Grail: Molecular Function %E Lengauer, Thomas %P 1651 - 1687 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
717. Lengauer T: Bioinformatics - From Genomes to Therapies - Introduction. In Bioinformatics - From Genomes to Therapies 1 The Building Blocks: Molecular Sequences and Structures. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{Lengauer2007k, TITLE = {Bioinformatics -- From Genomes to Therapies -- Introduction}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-CA345234DACD8EF2C125729C005F6205-Lengauer2007k}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures}, EDITOR = {Lengauer, Thomas}, PAGES = {1--24}, }
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%0 Book Section %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics - From Genomes to Therapies - Introduction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E70-3 %F EDOC: 356615 %F OTHER: Local-ID: C12573CC004A8E26-CA345234DACD8EF2C125729C005F6205-Lengauer2007k %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures %E Lengauer, Thomas %P 1 - 24 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
718. Lengauer T (Ed): Bioinformatics - From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions. Weinheim, Germany: Wiley-VCH; 2007.
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@book{LengauerBioInf2_2007, TITLE = {Bioinformatics -- From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions}, EDITOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-A07CE1B99D30022BC1257295002A730C-LengauerBioInf2_2007}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, PAGES = {S. 541-1059}, }
Endnote
%0 Edited Book %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics - From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E6C-F %F EDOC: 356660 %@ 3-527-31278-1 %F OTHER: Local-ID: C12573CC004A8E26-A07CE1B99D30022BC1257295002A730C-LengauerBioInf2_2007 %I Wiley-VCH %C Weinheim, Germany %D 2007 %P S. 541-1059
719. Lengauer T, Sander O, Sierra S, Thielen A, Kaiser R: Bioinformatics prediction of HIV coreceptor usage. Nature biotechnology 2007, 25.
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@article{LengauerSander2007, TITLE = {Bioinformatics prediction of {HIV} coreceptor usage}, AUTHOR = {Lengauer, Thomas and Sander, Oliver and Sierra, Saleta and Thielen, Alexander and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1087-0156}, DOI = {10.1038/nbt1371}, LOCALID = {Local-ID: C12573CC004A8E26-724EF9DDD7A57106C12573EE0054A8AA-LengauerSander2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Nature biotechnology}, VOLUME = {25}, NUMBER = {12}, PAGES = {1407--1410}, }
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%0 Journal Article %A Lengauer, Thomas %A Sander, Oliver %A Sierra, Saleta %A Thielen, Alexander %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics prediction of HIV coreceptor usage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E72-0 %F EDOC: 356564 %R 10.1038/nbt1371 %F OTHER: Local-ID: C12573CC004A8E26-724EF9DDD7A57106C12573EE0054A8AA-LengauerSander2007 %D 2007 %* Review method: peer-reviewed %J Nature biotechnology %V 25 %N 12 %& 1407 %P 1407 - 1410 %@ false
720. Lengauer T, Rost B, Schuster P (Eds): ISMB/ECCB 2007 Conference Proceedings. Volume 23. Oxford Univeristy Press; 2007.
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@proceedings{LengauerISMB2007, TITLE = {{ISMB/ECCB 2007} Conference Proceedings}, EDITOR = {Lengauer, Thomas and Rost, Burkhard and Schuster, Peter}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btm28}, PUBLISHER = {Oxford Univeristy Press}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Bioinformatics}, VOLUME = {23}, ISSUE = {13}, ADDRESS = {Vienna, Austria}, }
Endnote
%0 Conference Proceedings %E Lengauer, Thomas %E Rost, Burkhard %E Schuster, Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T ISMB/ECCB 2007 Conference Proceedings : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-A9E8-B %R 10.1093/bioinformatics/btm28 %I Oxford Univeristy Press %D 2007 %B Fifteenth Conference on Intelligent Systems for Molecular Biology %Z date of event: 2007-07-21 - 2007-07-25 %D 2007 %C Vienna, Austria %J Bioinformatics %V 23 %N 13 %@ false
721. Lengauer T (Ed): Bioinformatics - From Genomes to Therapies 3. The Holy Grail: Molecular Function. Weinheim, Germany: Wiley-VCH; 2007.
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@book{LengauerBioInf3_2007, TITLE = {Bioinformatics -- From Genomes to Therapies 3. The Holy Grail: Molecular Function}, EDITOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-9F324F7233F7882BC1257295002AECE4-LengauerBioInf3_2007}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, PAGES = {S. 1061-1732}, }
Endnote
%0 Edited Book %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics - From Genomes to Therapies 3. The Holy Grail: Molecular Function : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E6E-B %F EDOC: 356616 %@ 3-527-31278-1 %F OTHER: Local-ID: C12573CC004A8E26-9F324F7233F7882BC1257295002AECE4-LengauerBioInf3_2007 %I Wiley-VCH %C Weinheim, Germany %D 2007 %P S. 1061-1732
722. Liu F, Tostesen E, Sundet JK, Jenssen T-K, Bock C, Jerstad GI, Thilly WG, Hovig E: The human genomic melting map. PLoS Computational Biology 2007, 3.
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@article{Liu2007, TITLE = {The human genomic melting map}, AUTHOR = {Liu, Fang and Tostesen, Eivind and Sundet, Jostein K. and Jenssen, Tor-Kristian and Bock, Christoph and Jerstad, Geir Ivar and Thilly, William G. and Hovig, Eivind}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.0030093}, LOCALID = {Local-ID: C12573CC004A8E26-27A694853F3231F9C12573B60058ACFF-Liu2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {PLoS Computational Biology}, VOLUME = {3}, NUMBER = {5}, PAGES = {e93.0874--0886}, }
Endnote
%0 Journal Article %A Liu, Fang %A Tostesen, Eivind %A Sundet, Jostein K. %A Jenssen, Tor-Kristian %A Bock, Christoph %A Jerstad, Geir Ivar %A Thilly, William G. %A Hovig, Eivind %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The human genomic melting map : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20FC-B %F EDOC: 356638 %R 10.1371/journal.pcbi.0030093 %F OTHER: Local-ID: C12573CC004A8E26-27A694853F3231F9C12573B60058ACFF-Liu2007 %D 2007 %* Review method: peer-reviewed %J PLoS Computational Biology %V 3 %N 5 %& e93.0874 %P e93.0874 - 0886 %@ false
723. Low AJ, Dong W, Chan D, Sing T, Swanstrom R, Jensen M, Pillai S, Good B, Harrigan PR: Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates. AIDS 2007, 21.
Abstract
Objective: Integrating CCR5 antagonists into clinical practice would benefit from accurate assays of co-receptor usage (CCR5 versus CXCR4) with fast turnaround and low cost. Design: Published HIV V3-loop based predictors of co-receptor usage were compared with actual phenotypic tropism results in a large cohort of antiretroviral naive individuals to determine accuracy on clinical samples and identify areas for improvement. Methods: Aligned HIV envelope V3 loop sequences (n = 977), derived by bulk sequencing were analyzed by six methods: the 11/25 rule; a neural network (NN), two support vector machines, and two subtype-B position specific scoring matrices (PSSM). Co-receptor phenotype results (Trofile Co-receptor Phenotype Assay; Monogram Biosciences) were stratified by CXCR4 relative light unit (RLU) readout and CD4 cell count. Results: Co-receptor phenotype was available for 920 clinical samples with V3 genotypes having fewer than seven amino acid mixtures (n = 769 R5; n = 151 X4-capable). Sensitivity and specificity for predicting X4 capacity were evaluated for the 11/25 rule (30% sensitivity/93% specificity), NN (44%/88%), PSSM(sinsi) (34%/96%), PSSM(x4r5) (24%/97%), SVMgenomiac (22%/90%) and SVMgeno2pheno (50%/89%). Quantitative increases in sensitivity could be obtained by optimizing the cut-off for methods with continuous output (PSSM methods), and/or integrating clinical data (CD4%). Sensitivity was directly proportional to strength of X4 signal in the phenotype assay (P &lt; 0.05). Conclusions: Current default implementations of co-receptor prediction algorithms are inadequate for predicting HIV X4 co-receptor usage in clinical samples, particularly those X4 phenotypes with low CXCR4 RLU signals. Significant improvements can be made to genotypic predictors, including training on clinical samples, using additional data to improve predictions and optimizing cutoffs and increasing genotype sensitivity. (C) 2007 Lippincott Williams & Wilkins, Inc.
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@article{LowDong2007, TITLE = {Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates}, AUTHOR = {Low, Andrew J. and Dong, Winnie and Chan, Dennison and Sing, Tobias and Swanstrom, Ronald and Jensen, Mark and Pillai, Satish and Good, Benjamin and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {0269-9370}, LOCALID = {Local-ID: C12573CC004A8E26-53AA5AF477BC1753C12573EF0036C141-LowDong2007}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Objective: Integrating CCR5 antagonists into clinical practice would benefit from accurate assays of co-receptor usage (CCR5 versus CXCR4) with fast turnaround and low cost. Design: Published HIV V3-loop based predictors of co-receptor usage were compared with actual phenotypic tropism results in a large cohort of antiretroviral naive individuals to determine accuracy on clinical samples and identify areas for improvement. Methods: Aligned HIV envelope V3 loop sequences (n = 977), derived by bulk sequencing were analyzed by six methods: the 11/25 rule; a neural network (NN), two support vector machines, and two subtype-B position specific scoring matrices (PSSM). Co-receptor phenotype results (Trofile Co-receptor Phenotype Assay; Monogram Biosciences) were stratified by CXCR4 relative light unit (RLU) readout and CD4 cell count. Results: Co-receptor phenotype was available for 920 clinical samples with V3 genotypes having fewer than seven amino acid mixtures (n = 769 R5; n = 151 X4-capable). Sensitivity and specificity for predicting X4 capacity were evaluated for the 11/25 rule (30% sensitivity/93% specificity), NN (44%/88%), PSSM(sinsi) (34%/96%), PSSM(x4r5) (24%/97%), SVMgenomiac (22%/90%) and SVMgeno2pheno (50%/89%). Quantitative increases in sensitivity could be obtained by optimizing the cut-off for methods with continuous output (PSSM methods), and/or integrating clinical data (CD4%). Sensitivity was directly proportional to strength of X4 signal in the phenotype assay (P &lt; 0.05). Conclusions: Current default implementations of co-receptor prediction algorithms are inadequate for predicting HIV X4 co-receptor usage in clinical samples, particularly those X4 phenotypes with low CXCR4 RLU signals. Significant improvements can be made to genotypic predictors, including training on clinical samples, using additional data to improve predictions and optimizing cutoffs and increasing genotype sensitivity. (C) 2007 Lippincott Williams & Wilkins, Inc.}, JOURNAL = {AIDS}, VOLUME = {21}, NUMBER = {14}, PAGES = {F19--F26}, }
Endnote
%0 Journal Article %A Low, Andrew J. %A Dong, Winnie %A Chan, Dennison %A Sing, Tobias %A Swanstrom, Ronald %A Jensen, Mark %A Pillai, Satish %A Good, Benjamin %A Harrigan, P. Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1EC6-1 %F EDOC: 356567 %F OTHER: Local-ID: C12573CC004A8E26-53AA5AF477BC1753C12573EF0036C141-LowDong2007 %D 2007 %* Review method: peer-reviewed %X Objective: Integrating CCR5 antagonists into clinical practice would benefit from accurate assays of co-receptor usage (CCR5 versus CXCR4) with fast turnaround and low cost. Design: Published HIV V3-loop based predictors of co-receptor usage were compared with actual phenotypic tropism results in a large cohort of antiretroviral naive individuals to determine accuracy on clinical samples and identify areas for improvement. Methods: Aligned HIV envelope V3 loop sequences (n = 977), derived by bulk sequencing were analyzed by six methods: the 11/25 rule; a neural network (NN), two support vector machines, and two subtype-B position specific scoring matrices (PSSM). Co-receptor phenotype results (Trofile Co-receptor Phenotype Assay; Monogram Biosciences) were stratified by CXCR4 relative light unit (RLU) readout and CD4 cell count. Results: Co-receptor phenotype was available for 920 clinical samples with V3 genotypes having fewer than seven amino acid mixtures (n = 769 R5; n = 151 X4-capable). Sensitivity and specificity for predicting X4 capacity were evaluated for the 11/25 rule (30% sensitivity/93% specificity), NN (44%/88%), PSSM(sinsi) (34%/96%), PSSM(x4r5) (24%/97%), SVMgenomiac (22%/90%) and SVMgeno2pheno (50%/89%). Quantitative increases in sensitivity could be obtained by optimizing the cut-off for methods with continuous output (PSSM methods), and/or integrating clinical data (CD4%). Sensitivity was directly proportional to strength of X4 signal in the phenotype assay (P &lt; 0.05). Conclusions: Current default implementations of co-receptor prediction algorithms are inadequate for predicting HIV X4 co-receptor usage in clinical samples, particularly those X4 phenotypes with low CXCR4 RLU signals. Significant improvements can be made to genotypic predictors, including training on clinical samples, using additional data to improve predictions and optimizing cutoffs and increasing genotype sensitivity. (C) 2007 Lippincott Williams & Wilkins, Inc. %J AIDS %V 21 %N 14 %& F19 %P F19 - F26 %@ false
724. Mayr G, Domingues FS, Lackner P: Comparative Analysis of Protein Structure Alignments. BMC Structural Biology 2007, 7.
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@article{Mayr2007, TITLE = {Comparative Analysis of Protein Structure Alignments}, AUTHOR = {Mayr, Gabriele and Domingues, Francisco S. and Lackner, Peter}, LANGUAGE = {eng}, ISSN = {1472-6807}, DOI = {10.1186/1472-6807-7-50}, LOCALID = {Local-ID: C12573CC004A8E26-030C8CE914708DEEC12573410030C043-Mayr2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {BMC Structural Biology}, VOLUME = {7}, PAGES = {50.1--15}, }
Endnote
%0 Journal Article %A Mayr, Gabriele %A Domingues, Francisco S. %A Lackner, Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comparative Analysis of Protein Structure Alignments : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E90-C %F EDOC: 356639 %R 10.1186/1472-6807-7-50 %F OTHER: Local-ID: C12573CC004A8E26-030C8CE914708DEEC12573410030C043-Mayr2007 %D 2007 %* Review method: peer-reviewed %J BMC Structural Biology %V 7 %& 50.1 %P 50.1 - 15 %@ false
725. Mikeska T, Bock C, El-Maarri O, Hübner A, Ehrentraut D, Schramm J, Felsberg J, Kahl P, Büttner R, Pietsch T, Waha A: Optimization of Quantitative MGMT Promoter Methylation Analysis Using Pyrosequencing and Combined Bisulfite Restriction Analysis. Journal of Molecular Diagnostics 2007, 9.
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@article{Mikeska2007, TITLE = {Optimization of Quantitative {MGMT} Promoter Methylation Analysis Using Pyrosequencing and Combined Bisulfite Restriction Analysis}, AUTHOR = {Mikeska, Thomas and Bock, Christoph and El-Maarri, Osman and H{\"u}bner, Anika and Ehrentraut, Denise and Schramm, Johannes and Felsberg, J{\"o}rg and Kahl, Philip and B{\"u}ttner, Reinhard and Pietsch, Torsten and Waha, Andreas}, LANGUAGE = {eng}, ISSN = {1525-1578}, DOI = {10.2353/jmoldx.2007.060167}, LOCALID = {Local-ID: C12573CC004A8E26-0BD54D660C7D6362C12573B600561477-Mikeska2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Molecular Diagnostics}, VOLUME = {9}, NUMBER = {3}, PAGES = {368--381}, }
Endnote
%0 Journal Article %A Mikeska, Thomas %A Bock, Christoph %A El-Maarri, Osman %A H&#252;bner, Anika %A Ehrentraut, Denise %A Schramm, Johannes %A Felsberg, J&#246;rg %A Kahl, Philip %A B&#252;ttner, Reinhard %A Pietsch, Torsten %A Waha, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Optimization of Quantitative MGMT Promoter Methylation Analysis Using Pyrosequencing and Combined Bisulfite Restriction Analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2035-9 %F EDOC: 356636 %R 10.2353/jmoldx.2007.060167 %F OTHER: Local-ID: C12573CC004A8E26-0BD54D660C7D6362C12573B600561477-Mikeska2007 %D 2007 %* Review method: peer-reviewed %J Journal of Molecular Diagnostics %V 9 %N 3 %& 368 %P 368 - 381 %@ false
726. Mueller O: Using Shape Retrieval Techniques for Identifying Similar Protein Binding Sites. Universität des Saarlandes; 2007.
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@mastersthesis{Mueller2006, TITLE = {Using Shape Retrieval Techniques for Identifying Similar Protein Binding Sites}, AUTHOR = {Mueller, Oliver}, LANGUAGE = {eng}, LOCALID = {Local-ID: C12573CC004A8E26-5415E8A7611721F1C125728400339301-Mueller2006}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Mueller, Oliver %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Using Shape Retrieval Techniques for Identifying Similar Protein Binding Sites : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1DC1-6 %F EDOC: 356620 %F OTHER: Local-ID: C12573CC004A8E26-5415E8A7611721F1C125728400339301-Mueller2006 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
727. Rahnenführer J, Lengauer T: Analysis of Expression Data: Classification of genes. In Bioinformatics - From Genomes to Therapies 2 Getting at the Inner Workings: Molecular Interactions. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{Rahnenfuehrer2007a, TITLE = {Analysis of Expression Data: Classification of genes}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-3535883977EED76CC12572350041DE29-Rahnenfuehrer2007a}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions}, EDITOR = {Lengauer, Thomas}, PAGES = {993--1021}, }
Endnote
%0 Book Section %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis of Expression Data: Classification of genes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E0B-7 %F EDOC: 356623 %F OTHER: Local-ID: C12573CC004A8E26-3535883977EED76CC12572350041DE29-Rahnenfuehrer2007a %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 2. Getting at the Inner Workings: Molecular Interactions %E Lengauer, Thomas %P 993 - 1021 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
728. Ramírez F, Schlicker A, Assenov Y, Lengauer T, Albrecht M: Computational analysis of human protein interaction networks. Proteomics 2007, 7.
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@article{Albrecht2007e, TITLE = {Computational analysis of human protein interaction networks}, AUTHOR = {Ram{\'i}rez, Fidel and Schlicker, Andreas and Assenov, Yassen and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1615-9853}, LOCALID = {Local-ID: C12573CC004A8E26-F39051B501D10BF0C12572D4007551AD-Albrecht2007e}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Proteomics}, VOLUME = {7}, NUMBER = {15}, PAGES = {2541--2552}, }
Endnote
%0 Journal Article %A Ram&#237;rez, Fidel %A Schlicker, Andreas %A Assenov, Yassen %A Lengauer, Thomas %A Albrecht, Mario %+ Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational analysis of human protein interaction networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E9F-E %F EDOC: 356585 %F OTHER: Local-ID: C12573CC004A8E26-F39051B501D10BF0C12572D4007551AD-Albrecht2007e %D 2007 %* Review method: peer-reviewed %J Proteomics %V 7 %N 15 %& 2541 %P 2541 - 2552 %@ false
729. Roomp K: Evolution of Drug Resistance in HIV. In Bioinformatics - From Genomes to Therapies 3 The Holy Grail: Molecular Function. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{Roomp2007d, TITLE = {Evolution of Drug Resistance in {HIV}}, AUTHOR = {Roomp, Kirsten}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-8C113E0BE09FE69EC12572A00076C8EA-Roomp2007d}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 3. The Holy Grail: Molecular Function}, EDITOR = {Lengauer, Thomas}, PAGES = {1457--1496}, }
Endnote
%0 Book Section %A Roomp, Kirsten %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Evolution of Drug Resistance in HIV : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F1B-C %F EDOC: 356588 %F OTHER: Local-ID: C12573CC004A8E26-8C113E0BE09FE69EC12572A00076C8EA-Roomp2007d %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 3. The Holy Grail: Molecular Function %E Lengauer, Thomas %P 1457 - 1496 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
730. Salamat-Miller N, Fang J, Seidel CW, Assenov Y, Albrecht M, Middaugh CR: A network-based analysis of polyanion-binding proteins utilizing human protein arrays. Journal of Biological Chemistry 2007, 282.
Abstract
The existence of interactions between many cellular proteins and various polyanionic surfaces within a cell is now well established. The functional role of such interactions, however, remains to be clearly defined. The existence of protein arrays, with a large selection of different kinds of proteins, provides a way to better address a number of aspects of this question. We have therefore investigated the interaction between five cellular polyanions (actin, tubulin, heparin, heparan sulfate, and DNA) and 5,000 human proteins using protein microarrays in an attempt to better understand the functional nature of such interaction(s). We demonstrate that a large number of polyanion-binding proteins exist that contain multiple positively charged regions, are often disordered, are involved in phosphorylation processes, and appear to play a role in protein-protein interaction networks. Considering the crowded nature of cellular interiors, we propose that polyanion-binding proteins interact with a wide variety of polyanionic surfaces in cells in a functionally significant manner.
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@article{Albrecht2007b, TITLE = {A network-based analysis of polyanion-binding proteins utilizing human protein arrays}, AUTHOR = {Salamat-Miller, Nazila and Fang, Jianwen and Seidel, Christopher W. and Assenov, Yassen and Albrecht, Mario and Middaugh, C. Russell}, LANGUAGE = {eng}, ISSN = {0021-9258}, DOI = {10.1074/jbc.M610957200}, LOCALID = {Local-ID: C12573CC004A8E26-60CAD5331BBAFC99C125728300811585-Albrecht2007b}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {The existence of interactions between many cellular proteins and various polyanionic surfaces within a cell is now well established. The functional role of such interactions, however, remains to be clearly defined. The existence of protein arrays, with a large selection of different kinds of proteins, provides a way to better address a number of aspects of this question. We have therefore investigated the interaction between five cellular polyanions (actin, tubulin, heparin, heparan sulfate, and DNA) and 5,000 human proteins using protein microarrays in an attempt to better understand the functional nature of such interaction(s). We demonstrate that a large number of polyanion-binding proteins exist that contain multiple positively charged regions, are often disordered, are involved in phosphorylation processes, and appear to play a role in protein-protein interaction networks. Considering the crowded nature of cellular interiors, we propose that polyanion-binding proteins interact with a wide variety of polyanionic surfaces in cells in a functionally significant manner.}, JOURNAL = {Journal of Biological Chemistry}, VOLUME = {282}, NUMBER = {14}, PAGES = {10153--10163}, }
Endnote
%0 Journal Article %A Salamat-Miller, Nazila %A Fang, Jianwen %A Seidel, Christopher W. %A Assenov, Yassen %A Albrecht, Mario %A Middaugh, C. Russell %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A network-based analysis of polyanion-binding proteins utilizing human protein arrays : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E11-8 %F EDOC: 356619 %R 10.1074/jbc.M610957200 %F OTHER: Local-ID: C12573CC004A8E26-60CAD5331BBAFC99C125728300811585-Albrecht2007b %D 2007 %* Review method: peer-reviewed %X The existence of interactions between many cellular proteins and various polyanionic surfaces within a cell is now well established. The functional role of such interactions, however, remains to be clearly defined. The existence of protein arrays, with a large selection of different kinds of proteins, provides a way to better address a number of aspects of this question. We have therefore investigated the interaction between five cellular polyanions (actin, tubulin, heparin, heparan sulfate, and DNA) and 5,000 human proteins using protein microarrays in an attempt to better understand the functional nature of such interaction(s). We demonstrate that a large number of polyanion-binding proteins exist that contain multiple positively charged regions, are often disordered, are involved in phosphorylation processes, and appear to play a role in protein-protein interaction networks. Considering the crowded nature of cellular interiors, we propose that polyanion-binding proteins interact with a wide variety of polyanionic surfaces in cells in a functionally significant manner. %J Journal of Biological Chemistry %V 282 %N 14 %& 10153 %P 10153 - 10163 %@ false
731. Sander O, Sing T, Sommer I, Low AJ, Cheung PK, Harrigan PR, Lengauer T, Domingues FS: Structural Descriptors of gp120 V3 Loop for the Prediction of HIV-1 Coreceptor Usage. PLOS Computational Biology 2007, 3.
Abstract
HIV-1 cell entry commonly uses, in addition to CD4, one of the chemokine <br>receptors CCR5 or CXCR4 as coreceptor. Knowledge of coreceptor usage is <br>critical for monitoring disease progression as well as for supporting therapy <br>with the novel drug class of coreceptor antagonists. Predictive methods for <br>inferring coreceptor usage based on the third hypervariable (V3) loop region of <br>the viral gene coding for the envelope protein gp120 can provide these <br>monitoring facilities while avoiding expensive phenotypic tests. All simple <br>heuristics (like the 11/25 rule) as well as statistical learning methods <br>proposed to date predict coreceptor usage based on sequence features of the V3 <br>loop exclusively. Here, we show, based on a recently resolved structure of <br>gp120 with an untruncated V3 loop, that using structural information on the V3 <br>loop in combination with sequence features of V3 variants improves prediction <br>of coreceptor usage. In particular, we propose a distance-based descriptor of <br>the spatial arrangement of physicochemical properties that increases <br>discriminative performance. For a fixed specificity of 0.95, a sensitivity of <br>0.77 was achieved, improving further to 0.80 when combined with a <br>sequence-based representation using amino acid indicators. This compares <br>favorably with the sensitivities of 0.62 for the traditional 11/25 rule and <br>0.73 for a prediction based on sequence information as input to a support <br>vector machine (SVM) and constitutes a statistically significant improvement. A <br>detailed analysis and interpretation of structural features important for <br>classification shows the relevance of several specific hydrogen-bond donor <br>sites and aliphatic side chains to coreceptor specificity towards CCR5 or <br>CXCR4. Furthermore, an analysis of side chain orientation of the specificity <br>determining residues suggests a major role of one side of the V3 loop in the <br>selection of the coreceptor. The proposed method constitutes the first approach <br>to an improved prediction of coreceptor usage based on an original integration <br>of structural bioinformatics methods with statistical learning.
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@article{Sander2007, TITLE = {Structural Descriptors of gp120 V3 Loop for the Prediction of {HIV}-1 Coreceptor Usage}, AUTHOR = {Sander, Oliver and Sing, Tobias and Sommer, Ingolf and Low, Andrew J. and Cheung, Peter K. and Harrigan, P. Richard and Lengauer, Thomas and Domingues, Francisco S.}, LANGUAGE = {eng}, ISSN = {1553-734X}, DOI = {10.1371/journal.pcbi.0030058}, LOCALID = {Local-ID: C12573CC004A8E26-9809883503D11D5DC12572A500529A60-Sander2007}, PUBLISHER = {Public Library of Science}, ADDRESS = {San Francisco, CA}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {HIV-1 cell entry commonly uses, in addition to CD4, one of the chemokine <br>receptors CCR5 or CXCR4 as coreceptor. Knowledge of coreceptor usage is <br>critical for monitoring disease progression as well as for supporting therapy <br>with the novel drug class of coreceptor antagonists. Predictive methods for <br>inferring coreceptor usage based on the third hypervariable (V3) loop region of <br>the viral gene coding for the envelope protein gp120 can provide these <br>monitoring facilities while avoiding expensive phenotypic tests. All simple <br>heuristics (like the 11/25 rule) as well as statistical learning methods <br>proposed to date predict coreceptor usage based on sequence features of the V3 <br>loop exclusively. Here, we show, based on a recently resolved structure of <br>gp120 with an untruncated V3 loop, that using structural information on the V3 <br>loop in combination with sequence features of V3 variants improves prediction <br>of coreceptor usage. In particular, we propose a distance-based descriptor of <br>the spatial arrangement of physicochemical properties that increases <br>discriminative performance. For a fixed specificity of 0.95, a sensitivity of <br>0.77 was achieved, improving further to 0.80 when combined with a <br>sequence-based representation using amino acid indicators. This compares <br>favorably with the sensitivities of 0.62 for the traditional 11/25 rule and <br>0.73 for a prediction based on sequence information as input to a support <br>vector machine (SVM) and constitutes a statistically significant improvement. A <br>detailed analysis and interpretation of structural features important for <br>classification shows the relevance of several specific hydrogen-bond donor <br>sites and aliphatic side chains to coreceptor specificity towards CCR5 or <br>CXCR4. Furthermore, an analysis of side chain orientation of the specificity <br>determining residues suggests a major role of one side of the V3 loop in the <br>selection of the coreceptor. The proposed method constitutes the first approach <br>to an improved prediction of coreceptor usage based on an original integration <br>of structural bioinformatics methods with statistical learning.}, JOURNAL = {PLOS Computational Biology}, VOLUME = {3}, NUMBER = {3}, PAGES = {0555--0564}, }
Endnote
%0 Journal Article %A Sander, Oliver %A Sing, Tobias %A Sommer, Ingolf %A Low, Andrew J. %A Cheung, Peter K. %A Harrigan, P. Richard %A Lengauer, Thomas %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural Descriptors of gp120 V3 Loop for the Prediction of HIV-1 Coreceptor Usage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20D5-1 %F EDOC: 356583 %R 10.1371/journal.pcbi.0030058 %F OTHER: Local-ID: C12573CC004A8E26-9809883503D11D5DC12572A500529A60-Sander2007 %D 2007 %* Review method: peer-reviewed %X HIV-1 cell entry commonly uses, in addition to CD4, one of the chemokine <br>receptors CCR5 or CXCR4 as coreceptor. Knowledge of coreceptor usage is <br>critical for monitoring disease progression as well as for supporting therapy <br>with the novel drug class of coreceptor antagonists. Predictive methods for <br>inferring coreceptor usage based on the third hypervariable (V3) loop region of <br>the viral gene coding for the envelope protein gp120 can provide these <br>monitoring facilities while avoiding expensive phenotypic tests. All simple <br>heuristics (like the 11/25 rule) as well as statistical learning methods <br>proposed to date predict coreceptor usage based on sequence features of the V3 <br>loop exclusively. Here, we show, based on a recently resolved structure of <br>gp120 with an untruncated V3 loop, that using structural information on the V3 <br>loop in combination with sequence features of V3 variants improves prediction <br>of coreceptor usage. In particular, we propose a distance-based descriptor of <br>the spatial arrangement of physicochemical properties that increases <br>discriminative performance. For a fixed specificity of 0.95, a sensitivity of <br>0.77 was achieved, improving further to 0.80 when combined with a <br>sequence-based representation using amino acid indicators. This compares <br>favorably with the sensitivities of 0.62 for the traditional 11/25 rule and <br>0.73 for a prediction based on sequence information as input to a support <br>vector machine (SVM) and constitutes a statistically significant improvement. A <br>detailed analysis and interpretation of structural features important for <br>classification shows the relevance of several specific hydrogen-bond donor <br>sites and aliphatic side chains to coreceptor specificity towards CCR5 or <br>CXCR4. Furthermore, an analysis of side chain orientation of the specificity <br>determining residues suggests a major role of one side of the V3 loop in the <br>selection of the coreceptor. The proposed method constitutes the first approach <br>to an improved prediction of coreceptor usage based on an original integration <br>of structural bioinformatics methods with statistical learning. %J PLOS Computational Biology %O PLOS Comput Biol %V 3 %N 3 %& 0555 %P 0555 - 0564 %I Public Library of Science %C San Francisco, CA %@ false %U https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.0030058&type=printable
732. Schelhorn SE: Prediction of Domain and Motif Interactions from Protein Networks. Universität des Saarlandes; 2007.
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@mastersthesis{Schelhorn2007, TITLE = {Prediction of Domain and Motif Interactions from Protein Networks}, AUTHOR = {Schelhorn, Sven Eric}, LANGUAGE = {enc}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Schelhorn, Sven Eric %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prediction of Domain and Motif Interactions from Protein Networks : %G enc %U http://hdl.handle.net/11858/00-001M-0000-0019-FC9E-1 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
733. Scheller N, Resa-Infante P, de la Luna S, Galao RP, Albrecht M, Kaestner L, Lipp P, Lengauer T, Meyerhans A, Díez J: Identification of PatL1, a human homolog to yeast P body component Pat1. Biochimica et Biophysica Acta - Molecular Cell Research 2007, 1773.
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@article{Albrecht2007j, TITLE = {Identification of {PatL1}, a human homolog to yeast P body component Pat1}, AUTHOR = {Scheller, Nicoletta and Resa-Infante, Patricia and de la Luna, Susana and Galao, Rui Pedro and Albrecht, Mario and Kaestner, Lars and Lipp, Peter and Lengauer, Thomas and Meyerhans, Andreas and D{\'i}ez, Juana}, LANGUAGE = {eng}, DOI = {10.1016/j.bbamcr.2007.08.009}, LOCALID = {Local-ID: C12573CC004A8E26-E2C1F50D3451B929C12573C4007196AF-Albrecht2007j}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Biochimica et Biophysica Acta -- Molecular Cell Research}, VOLUME = {1773}, NUMBER = {12}, PAGES = {1786--1792}, }
Endnote
%0 Journal Article %A Scheller, Nicoletta %A Resa-Infante, Patricia %A de la Luna, Susana %A Galao, Rui Pedro %A Albrecht, Mario %A Kaestner, Lars %A Lipp, Peter %A Lengauer, Thomas %A Meyerhans, Andreas %A D&#237;ez, Juana %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of PatL1, a human homolog to yeast P body component Pat1 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F7A-7 %F EDOC: 356565 %R 10.1016/j.bbamcr.2007.08.009 %F OTHER: Local-ID: C12573CC004A8E26-E2C1F50D3451B929C12573C4007196AF-Albrecht2007j %D 2007 %* Review method: peer-reviewed %J Biochimica et Biophysica Acta - Molecular Cell Research %V 1773 %N 12 %& 1786 %P 1786 - 1792
734. Schlicker A, Huthmacher C, Ramírez F, Lengauer T, Albrecht M: Functional Evaluation of Domain–domain Interactions and Human Protein Interaction Networks. Bioinformatics 2007, 23.
Abstract
Motivation: Large amounts of protein and domain interaction data are being <br>produced by experimental high-throughput techniques and computational <br>approaches. To gain insight into the value of the provided data, we used our <br>new similarity measure based on the Gene Ontology (GO) to evaluate the <br>molecular functions and biological processes of interacting proteins or <br>domains. The applied measure particularly addresses the frequent annotation of <br>proteins or domains with multiple GO terms.<br>Results: Using our similarity measure, we compare predicted domain–domain and <br>human protein–protein interactions with experimentally derived interactions. <br>The results show that our similarity measure is of significant benefit in <br>quality assessment and confidence ranking of domain and protein networks. We <br>also derive useful confidence score thresholds for dividing domain interaction <br>predictions into subsets of low and high confidence.
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@article{Albrecht2007g, TITLE = {Functional Evaluation of Domain--domain Interactions and Human Protein Interaction Networks}, AUTHOR = {Schlicker, Andreas and Huthmacher, Carola and Ram{\'i}rez, Fidel and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btm012}, LOCALID = {Local-ID: C12573CC004A8E26-282D69580783155EC12572CD003217A5-Albrecht2007g}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Motivation: Large amounts of protein and domain interaction data are being <br>produced by experimental high-throughput techniques and computational <br>approaches. To gain insight into the value of the provided data, we used our <br>new similarity measure based on the Gene Ontology (GO) to evaluate the <br>molecular functions and biological processes of interacting proteins or <br>domains. The applied measure particularly addresses the frequent annotation of <br>proteins or domains with multiple GO terms.<br>Results: Using our similarity measure, we compare predicted domain--domain and <br>human protein--protein interactions with experimentally derived interactions. <br>The results show that our similarity measure is of significant benefit in <br>quality assessment and confidence ranking of domain and protein networks. We <br>also derive useful confidence score thresholds for dividing domain interaction <br>predictions into subsets of low and high confidence.}, JOURNAL = {Bioinformatics}, VOLUME = {23}, NUMBER = {7}, PAGES = {859--865}, }
Endnote
%0 Journal Article %A Schlicker, Andreas %A Huthmacher, Carola %A Ram&#237;rez, Fidel %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Functional Evaluation of Domain&#8211;domain Interactions and Human Protein Interaction Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F4B-2 %F EDOC: 356582 %R 10.1093/bioinformatics/btm012 %F OTHER: Local-ID: C12573CC004A8E26-282D69580783155EC12572CD003217A5-Albrecht2007g %D 2007 %* Review method: peer-reviewed %X Motivation: Large amounts of protein and domain interaction data are being <br>produced by experimental high-throughput techniques and computational <br>approaches. To gain insight into the value of the provided data, we used our <br>new similarity measure based on the Gene Ontology (GO) to evaluate the <br>molecular functions and biological processes of interacting proteins or <br>domains. The applied measure particularly addresses the frequent annotation of <br>proteins or domains with multiple GO terms.<br>Results: Using our similarity measure, we compare predicted domain&#8211;domain and <br>human protein&#8211;protein interactions with experimentally derived interactions. <br>The results show that our similarity measure is of significant benefit in <br>quality assessment and confidence ranking of domain and protein networks. We <br>also derive useful confidence score thresholds for dividing domain interaction <br>predictions into subsets of low and high confidence. %J Bioinformatics %V 23 %N 7 %& 859 %P 859 - 865 %I Oxford University Press %C Oxford %@ false
735. Schlicker A, Rahnenführer J, Albrecht M, Lengauer T, Domingues FS: GOTax: investigating biological processes and biochemical activities along the taxonomic tree. Genome Biology 2007, 8.
Abstract
We describe GOTax (http://gotax.bioinf.mpi-inf.mpg.de/), a comparative genomics platform that integrates protein annotation with protein family classification and taxonomy. User-defined sets of proteins, protein families, annotation terms or taxonomic groups can be selected and compared, allowing for the analysis of distribution of biological processes and molecular activities over different taxonomic groups. In particular, a measure of functional similarity is available for comparing proteins and protein families, establishing functional relationships independent of evolution.
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@article{Schlicker2007, TITLE = {{GOTax}: investigating biological processes and biochemical activities along the taxonomic tree}, AUTHOR = {Schlicker, Andreas and Rahnenf{\"u}hrer, J{\"o}rg and Albrecht, Mario and Lengauer, Thomas and Domingues, Francisco S.}, LANGUAGE = {eng}, ISSN = {1465-6906}, DOI = {10.1186/gb-2007-8-3-r33}, LOCALID = {Local-ID: C12573CC004A8E26-D08810EFF2A2635AC125729C0040FD74-Schlicker2007}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {We describe GOTax (http://gotax.bioinf.mpi-inf.mpg.de/), a comparative genomics platform that integrates protein annotation with protein family classification and taxonomy. User-defined sets of proteins, protein families, annotation terms or taxonomic groups can be selected and compared, allowing for the analysis of distribution of biological processes and molecular activities over different taxonomic groups. In particular, a measure of functional similarity is available for comparing proteins and protein families, establishing functional relationships independent of evolution.}, JOURNAL = {Genome Biology}, VOLUME = {8}, NUMBER = {3}, PAGES = {R33.1--10}, }
Endnote
%0 Journal Article %A Schlicker, Andreas %A Rahnenf&#252;hrer, J&#246;rg %A Albrecht, Mario %A Lengauer, Thomas %A Domingues, Francisco S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T GOTax: investigating biological processes and biochemical activities along the taxonomic tree : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F5D-9 %F EDOC: 356658 %R 10.1186/gb-2007-8-3-r33 %F OTHER: Local-ID: C12573CC004A8E26-D08810EFF2A2635AC125729C0040FD74-Schlicker2007 %D 2007 %X We describe GOTax (http://gotax.bioinf.mpi-inf.mpg.de/), a comparative genomics platform that integrates protein annotation with protein family classification and taxonomy. User-defined sets of proteins, protein families, annotation terms or taxonomic groups can be selected and compared, allowing for the analysis of distribution of biological processes and molecular activities over different taxonomic groups. In particular, a measure of functional similarity is available for comparing proteins and protein families, establishing functional relationships independent of evolution. %J Genome Biology %V 8 %N 3 %& R33.1 %P R33.1 - 10 %@ false
736. Schulz WA, Alexa A, Jung V, Hader C, Hoffmann MJ, Yamanaka M, Fritzsche S, Wlazlinski A, Müller M, Lengauer T, Engers R, Florl AR, Wullich B, Rahnenführer J: Factor interaction analysis for chromosome 8 and DNA methylation alterations highlights innate immune response suppression and cytoskeletal changes in prostate cancer. Molecular Cancer 2007, 6.
Abstract
Background Alterations of chromosome 8 and hypomethylation of LINE-1 retrotransposons are common alterations in advanced prostate carcinoma. In a former study including many metastatic cases, they strongly correlated with each other. To elucidate a possible interaction between the two alterations, we investigated their relationship in less advanced prostate cancers. Results In 50 primary tumor tissues, no correlation was observed between chromosome 8 alterations determined by comparative genomic hybridization and LINE-1 hypomethylation measured by Southern blot hybridization. The discrepancy towards the former study, which had been dominated by advanced stage cases, suggests that both alterations converge and interact during prostate cancer progression. Therefore, interaction analysis was performed on microarray-based expression profiles of cancers harboring both alterations, only one, or none. Application of a novel bioinformatic method identified Gene Ontology (GO) groups related to innate immunity, cytoskeletal organization and cell adhesion as common targets of both alterations. Many genes targeted by their interaction were involved in type I and II interferon signaling and several were functionally related to hereditary prostate cancer genes. In addition, the interaction appeared to influence a switch in the expression pattern of EPB41L genes encoding 4.1 cytoskeleton proteins. Real-time RT-PCR revealed GADD45A, MX1, EPB41L3/DAL1, and FBLN1 as generally downregulated in prostate cancer, whereas HOXB13 and EPB41L4B were upregulated. TLR3 was downregulated in a subset of the cases and associated with recurrence. Downregulation of EPB41L3, but not of GADD45A, was associated with promoter hypermethylation, which was detected in 79% of carcinoma samples. Conclusion Alterations of chromosome 8 and DNA hypomethylation in prostate cancer probably do not cause each other, but converge during progression. The present analysis implicates their interaction in innate immune response suppression and cytoskeletal changes during prostate cancer progression. The study thus highlights novel mechanisms in prostate cancer progression and identifies novel candidate genes for diagnostic and therapeutic purposes. In particular, TLR3 expression might be useful for prostate cancer prognosis and EPB41L3 hypermethylation for its detection.
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@article{Rahnenfuehrer2007c, TITLE = {Factor interaction analysis for chromosome 8 and {DNA} methylation alterations highlights innate immune response suppression and cytoskeletal changes in prostate cancer}, AUTHOR = {Schulz, Wolfgang A. and Alexa, Adrian and Jung, Volker and Hader, Christiane and Hoffmann, Michele J. and Yamanaka, Masanori and Fritzsche, Sandy and Wlazlinski, Agnes and M{\"u}ller, Mirko and Lengauer, Thomas and Engers, Rainer and Florl, Andrea R. and Wullich, Bernd and Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, DOI = {10.1186/1476-4598-6-14}, LOCALID = {Local-ID: C12573CC004A8E26-166A4F8357E560AEC125728300314719-Rahnenfuehrer2007c}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Background Alterations of chromosome 8 and hypomethylation of LINE-1 retrotransposons are common alterations in advanced prostate carcinoma. In a former study including many metastatic cases, they strongly correlated with each other. To elucidate a possible interaction between the two alterations, we investigated their relationship in less advanced prostate cancers. Results In 50 primary tumor tissues, no correlation was observed between chromosome 8 alterations determined by comparative genomic hybridization and LINE-1 hypomethylation measured by Southern blot hybridization. The discrepancy towards the former study, which had been dominated by advanced stage cases, suggests that both alterations converge and interact during prostate cancer progression. Therefore, interaction analysis was performed on microarray-based expression profiles of cancers harboring both alterations, only one, or none. Application of a novel bioinformatic method identified Gene Ontology (GO) groups related to innate immunity, cytoskeletal organization and cell adhesion as common targets of both alterations. Many genes targeted by their interaction were involved in type I and II interferon signaling and several were functionally related to hereditary prostate cancer genes. In addition, the interaction appeared to influence a switch in the expression pattern of EPB41L genes encoding 4.1 cytoskeleton proteins. Real-time RT-PCR revealed GADD45A, MX1, EPB41L3/DAL1, and FBLN1 as generally downregulated in prostate cancer, whereas HOXB13 and EPB41L4B were upregulated. TLR3 was downregulated in a subset of the cases and associated with recurrence. Downregulation of EPB41L3, but not of GADD45A, was associated with promoter hypermethylation, which was detected in 79% of carcinoma samples. Conclusion Alterations of chromosome 8 and DNA hypomethylation in prostate cancer probably do not cause each other, but converge during progression. The present analysis implicates their interaction in innate immune response suppression and cytoskeletal changes during prostate cancer progression. The study thus highlights novel mechanisms in prostate cancer progression and identifies novel candidate genes for diagnostic and therapeutic purposes. In particular, TLR3 expression might be useful for prostate cancer prognosis and EPB41L3 hypermethylation for its detection.}, JOURNAL = {Molecular Cancer}, VOLUME = {6}, PAGES = {14.1--14.16}, }
Endnote
%0 Journal Article %A Schulz, Wolfgang A. %A Alexa, Adrian %A Jung, Volker %A Hader, Christiane %A Hoffmann, Michele J. %A Yamanaka, Masanori %A Fritzsche, Sandy %A Wlazlinski, Agnes %A M&#252;ller, Mirko %A Lengauer, Thomas %A Engers, Rainer %A Florl, Andrea R. %A Wullich, Bernd %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Factor interaction analysis for chromosome 8 and DNA methylation alterations highlights innate immune response suppression and cytoskeletal changes in prostate cancer : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F30-B %F EDOC: 356590 %R 10.1186/1476-4598-6-14 %F OTHER: Local-ID: C12573CC004A8E26-166A4F8357E560AEC125728300314719-Rahnenfuehrer2007c %D 2007 %* Review method: peer-reviewed %X Background Alterations of chromosome 8 and hypomethylation of LINE-1 retrotransposons are common alterations in advanced prostate carcinoma. In a former study including many metastatic cases, they strongly correlated with each other. To elucidate a possible interaction between the two alterations, we investigated their relationship in less advanced prostate cancers. Results In 50 primary tumor tissues, no correlation was observed between chromosome 8 alterations determined by comparative genomic hybridization and LINE-1 hypomethylation measured by Southern blot hybridization. The discrepancy towards the former study, which had been dominated by advanced stage cases, suggests that both alterations converge and interact during prostate cancer progression. Therefore, interaction analysis was performed on microarray-based expression profiles of cancers harboring both alterations, only one, or none. Application of a novel bioinformatic method identified Gene Ontology (GO) groups related to innate immunity, cytoskeletal organization and cell adhesion as common targets of both alterations. Many genes targeted by their interaction were involved in type I and II interferon signaling and several were functionally related to hereditary prostate cancer genes. In addition, the interaction appeared to influence a switch in the expression pattern of EPB41L genes encoding 4.1 cytoskeleton proteins. Real-time RT-PCR revealed GADD45A, MX1, EPB41L3/DAL1, and FBLN1 as generally downregulated in prostate cancer, whereas HOXB13 and EPB41L4B were upregulated. TLR3 was downregulated in a subset of the cases and associated with recurrence. Downregulation of EPB41L3, but not of GADD45A, was associated with promoter hypermethylation, which was detected in 79% of carcinoma samples. Conclusion Alterations of chromosome 8 and DNA hypomethylation in prostate cancer probably do not cause each other, but converge during progression. The present analysis implicates their interaction in innate immune response suppression and cytoskeletal changes during prostate cancer progression. The study thus highlights novel mechanisms in prostate cancer progression and identifies novel candidate genes for diagnostic and therapeutic purposes. In particular, TLR3 expression might be useful for prostate cancer prognosis and EPB41L3 hypermethylation for its detection. %J Molecular Cancer %V 6 %& 14.1 %P 14.1 - 14.16
737. Sierra S, Kaiser R, Thielen A, Lengauer T: Genotypic coreceptor analysis. European Journal of Medical Research 2007, 12.
Abstract
HIV infects target cells by binding of its envelope gp120 protein to CD4 and a coreceptor on the cell surface. In vivo, the different HIV-strains use either CCR5 or CXCR4 as coreceptor. CCR5-using strains are named R5 viruses, while CXCR4-using strains are named X4. X4 viruses usually occur in the later stages. Coreceptor usage is a marker for disease progression. Additionally interest on coreceptors continually raises as a consequence of the development of a new class of antiretroviral drugs, namely the coreceptor antagonists or blockers. These specific drugs block the CCR5 or the CXCR4 coreceptors. So far, the CXCR4 blockers are not allowed to be used in the clinical practice due to their severe side effects. On the other hand, CCR5 blockers are currently in clinical practice, although they can only be administered after a baseline determination of the coreceptor usage of the predominant viral strain. Most of the coreceptor analyses in clinical cohorts have been performed with commercially available phenotypic assays. As for resistance testing of NRTIs, NNRTIs and PIs, efforts have also been made to predict the coreceptor usage from the genotype of the viruses. Different rules have been published based on the amino acid sequence of the Env-V3 region of HIV-gp120, which is known to be the major determinant of coreceptor usage. Among these, the most widely used is the 11/25 rule. Recently, bioinformatics driven prediction systems have been developed. Three of the interpretation systems are freely available via internet: WetCat, WebPSSM, geno2pheno[coreceptor]. All three systems focus on the Env-V3 region and take the amino acid sequence only into account. They learn from phenotypic and corresponding genotypic data. So far, two cohorts have been analyzed with such a genotypic approach and provided frequencies of R5 virus strains that are within the range of those reported with phenotypic assays. For one of the systems, geno2pheno[coreceptor], additional clinical data (e.g. CD4+T-cell counts) or structural information can be used to improve the prediction. Such genotypic systems provide the possibility for rapid screening of patients who may be administered with CCR5 blockers like the recently licensed Maraviroc.
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@article{Sierra2006, TITLE = {Genotypic coreceptor analysis}, AUTHOR = {Sierra, Saleta and Kaiser, Rolf and Thielen, Alexander and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0949-2321}, LOCALID = {Local-ID: C12573CC004A8E26-8AC29E21245612FCC12573AF005181FB-Sierra2006}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {HIV infects target cells by binding of its envelope gp120 protein to CD4 and a coreceptor on the cell surface. In vivo, the different HIV-strains use either CCR5 or CXCR4 as coreceptor. CCR5-using strains are named R5 viruses, while CXCR4-using strains are named X4. X4 viruses usually occur in the later stages. Coreceptor usage is a marker for disease progression. Additionally interest on coreceptors continually raises as a consequence of the development of a new class of antiretroviral drugs, namely the coreceptor antagonists or blockers. These specific drugs block the CCR5 or the CXCR4 coreceptors. So far, the CXCR4 blockers are not allowed to be used in the clinical practice due to their severe side effects. On the other hand, CCR5 blockers are currently in clinical practice, although they can only be administered after a baseline determination of the coreceptor usage of the predominant viral strain. Most of the coreceptor analyses in clinical cohorts have been performed with commercially available phenotypic assays. As for resistance testing of NRTIs, NNRTIs and PIs, efforts have also been made to predict the coreceptor usage from the genotype of the viruses. Different rules have been published based on the amino acid sequence of the Env-V3 region of HIV-gp120, which is known to be the major determinant of coreceptor usage. Among these, the most widely used is the 11/25 rule. Recently, bioinformatics driven prediction systems have been developed. Three of the interpretation systems are freely available via internet: WetCat, WebPSSM, geno2pheno[coreceptor]. All three systems focus on the Env-V3 region and take the amino acid sequence only into account. They learn from phenotypic and corresponding genotypic data. So far, two cohorts have been analyzed with such a genotypic approach and provided frequencies of R5 virus strains that are within the range of those reported with phenotypic assays. For one of the systems, geno2pheno[coreceptor], additional clinical data (e.g. CD4+T-cell counts) or structural information can be used to improve the prediction. Such genotypic systems provide the possibility for rapid screening of patients who may be administered with CCR5 blockers like the recently licensed Maraviroc.}, JOURNAL = {European Journal of Medical Research}, VOLUME = {12}, NUMBER = {9}, PAGES = {453--462}, }
Endnote
%0 Journal Article %A Sierra, Saleta %A Kaiser, Rolf %A Thielen, Alexander %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genotypic coreceptor analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F54-C %F EDOC: 356634 %F OTHER: Local-ID: C12573CC004A8E26-8AC29E21245612FCC12573AF005181FB-Sierra2006 %D 2007 %* Review method: peer-reviewed %X HIV infects target cells by binding of its envelope gp120 protein to CD4 and a coreceptor on the cell surface. In vivo, the different HIV-strains use either CCR5 or CXCR4 as coreceptor. CCR5-using strains are named R5 viruses, while CXCR4-using strains are named X4. X4 viruses usually occur in the later stages. Coreceptor usage is a marker for disease progression. Additionally interest on coreceptors continually raises as a consequence of the development of a new class of antiretroviral drugs, namely the coreceptor antagonists or blockers. These specific drugs block the CCR5 or the CXCR4 coreceptors. So far, the CXCR4 blockers are not allowed to be used in the clinical practice due to their severe side effects. On the other hand, CCR5 blockers are currently in clinical practice, although they can only be administered after a baseline determination of the coreceptor usage of the predominant viral strain. Most of the coreceptor analyses in clinical cohorts have been performed with commercially available phenotypic assays. As for resistance testing of NRTIs, NNRTIs and PIs, efforts have also been made to predict the coreceptor usage from the genotype of the viruses. Different rules have been published based on the amino acid sequence of the Env-V3 region of HIV-gp120, which is known to be the major determinant of coreceptor usage. Among these, the most widely used is the 11/25 rule. Recently, bioinformatics driven prediction systems have been developed. Three of the interpretation systems are freely available via internet: WetCat, WebPSSM, geno2pheno[coreceptor]. All three systems focus on the Env-V3 region and take the amino acid sequence only into account. They learn from phenotypic and corresponding genotypic data. So far, two cohorts have been analyzed with such a genotypic approach and provided frequencies of R5 virus strains that are within the range of those reported with phenotypic assays. For one of the systems, geno2pheno[coreceptor], additional clinical data (e.g. CD4+T-cell counts) or structural information can be used to improve the prediction. Such genotypic systems provide the possibility for rapid screening of patients who may be administered with CCR5 blockers like the recently licensed Maraviroc. %J European Journal of Medical Research %V 12 %N 9 %& 453 %P 453 - 462 %@ false
738. Sing T, Beerenwinkel N: Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype. In Advances in Neural Information Processing Systems 19 (NIPS 2006). MIT Press; 2007.
Abstract
Starting with the work of Jaakkola and Haussler, a variety of approaches have been proposed for coupling domain-specific generative models with statistical learning methods. The link is established by a kernel function which provides a similarity measure based inherently on the underlying model. In computational biology, the full promise of this framework has rarely ever been exploited, as most kernels are derived from very generic models, such as sequence profiles or hidden Markov models. Here, we introduce the MTreeMix kernel, which is based on a generative model tailored to the underlying biological mechanism. Specifically, the kernel quantifies the similarity of evolutionary escape from antiviral drug pressure between two viral sequence samples. We compare this novel kernel to a standard, evolution-agnostic amino acid encoding in the prediction of HIV drug resistance from genotype, using support vector regression. The results show significant improvements in predictive performance across 17 anti-HIV drugs. Thus, in our study, the generative-discriminative paradigm is key to bridging the gap between population genetic modeling and clinical decision making.
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@inproceedings{SingNIPS2006, TITLE = {Mutagenetic tree Fisher kernel improves prediction of {HIV} drug resistance from viral genotype}, AUTHOR = {Sing, Tobias and Beerenwinkel, Niko}, LANGUAGE = {eng}, ISBN = {0-262-19568-2}, LOCALID = {Local-ID: C12573CC004A8E26-845535906AEB88E6C12572880055BEE4-SingNIPS2006}, PUBLISHER = {MIT Press}, YEAR = {2006}, DATE = {2007}, ABSTRACT = {Starting with the work of Jaakkola and Haussler, a variety of approaches have been proposed for coupling domain-specific generative models with statistical learning methods. The link is established by a kernel function which provides a similarity measure based inherently on the underlying model. In computational biology, the full promise of this framework has rarely ever been exploited, as most kernels are derived from very generic models, such as sequence profiles or hidden Markov models. Here, we introduce the MTreeMix kernel, which is based on a generative model tailored to the underlying biological mechanism. Specifically, the kernel quantifies the similarity of evolutionary escape from antiviral drug pressure between two viral sequence samples. We compare this novel kernel to a standard, evolution-agnostic amino acid encoding in the prediction of HIV drug resistance from genotype, using support vector regression. The results show significant improvements in predictive performance across 17 anti-HIV drugs. Thus, in our study, the generative-discriminative paradigm is key to bridging the gap between population genetic modeling and clinical decision making.}, BOOKTITLE = {Advances in Neural Information Processing Systems 19 (NIPS 2006)}, EDITOR = {Sch{\"o}lkopf, Bernhard and Platt, John C. and Hofmann, Thomas}, PAGES = {1297--1304}, ADDRESS = {Vancouver, BC, Canada}, }
Endnote
%0 Conference Proceedings %A Sing, Tobias %A Beerenwinkel, Niko %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1FF9-7 %F EDOC: 356657 %F OTHER: Local-ID: C12573CC004A8E26-845535906AEB88E6C12572880055BEE4-SingNIPS2006 %D 2007 %B Twenteenth Annual Conference on Neural Information Processing Systems %Z date of event: 2006-12-04 - 2006-12-07 %C Vancouver, BC, Canada %X Starting with the work of Jaakkola and Haussler, a variety of approaches have been proposed for coupling domain-specific generative models with statistical learning methods. The link is established by a kernel function which provides a similarity measure based inherently on the underlying model. In computational biology, the full promise of this framework has rarely ever been exploited, as most kernels are derived from very generic models, such as sequence profiles or hidden Markov models. Here, we introduce the MTreeMix kernel, which is based on a generative model tailored to the underlying biological mechanism. Specifically, the kernel quantifies the similarity of evolutionary escape from antiviral drug pressure between two viral sequence samples. We compare this novel kernel to a standard, evolution-agnostic amino acid encoding in the prediction of HIV drug resistance from genotype, using support vector regression. The results show significant improvements in predictive performance across 17 anti-HIV drugs. Thus, in our study, the generative-discriminative paradigm is key to bridging the gap between population genetic modeling and clinical decision making. %B Advances in Neural Information Processing Systems 19 %E Sch&#246;lkopf, Bernhard; Platt, John C.; Hofmann, Thomas %P 1297 - 1304 %I MIT Press %@ 0-262-19568-2
739. Sing T, Low AJ, Beerenwinkel N, Sander O, Cheung PK, Domingues FS, Büch J, Däumer M, Kaiser R, Lengauer T, Harrigan PR: Predicting HIV coreceptor usage on the basis of genetic and clinical covariates. Antiviral Therapy 2007, 12.
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@article{Sing2007, TITLE = {Predicting {HIV} coreceptor usage on the basis of genetic and clinical covariates}, AUTHOR = {Sing, Tobias and Low, Andrew J. and Beerenwinkel, Niko and Sander, Oliver and Cheung, Peter K. and Domingues, Francisco S. and B{\"u}ch, Joachim and D{\"a}umer, Martin and Kaiser, Rolf and Lengauer, Thomas and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {1359-6535}, LOCALID = {Local-ID: C12573CC004A8E26-041B87421EE2D602C12573AF003CAC93-Sing2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Antiviral Therapy}, VOLUME = {12}, NUMBER = {7}, PAGES = {1097--1106}, }
Endnote
%0 Journal Article %A Sing, Tobias %A Low, Andrew J. %A Beerenwinkel, Niko %A Sander, Oliver %A Cheung, Peter K. %A Domingues, Francisco S. %A B&#252;ch, Joachim %A D&#228;umer, Martin %A Kaiser, Rolf %A Lengauer, Thomas %A Harrigan, P. Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting HIV coreceptor usage on the basis of genetic and clinical covariates : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-205E-D %F EDOC: 356578 %F OTHER: Local-ID: C12573CC004A8E26-041B87421EE2D602C12573AF003CAC93-Sing2007 %D 2007 %* Review method: peer-reviewed %J Antiviral Therapy %V 12 %N 7 %& 1097 %P 1097 - 1106 %@ false
740. Skrabal K, Low AJ, Dong W, Sing T, Cheung PK, Mammano F, Harrigan PR: Determining human immunodeficiency virus coreceptor use in a clinical setting: Degree of correlation between two phenotypic assays and a bioinformatic model. Journal of Clinical Microbiology 2007, 45.
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@article{Skrabal2007, TITLE = {Determining human immunodeficiency virus coreceptor use in a clinical setting: Degree of correlation between two phenotypic assays and a bioinformatic model}, AUTHOR = {Skrabal, Katharina and Low, Andrew J. and Dong, Winnie and Sing, Tobias and Cheung, Peter K. and Mammano, Fabrizio and Harrigan, P. Richard}, LANGUAGE = {eng}, ISSN = {0095-1137}, DOI = {10.1128/JCM.01118-06}, LOCALID = {Local-ID: C12573CC004A8E26-16F66204BFF3713AC12573F000379CE4-Skrabal2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Clinical Microbiology}, VOLUME = {45}, NUMBER = {2}, PAGES = {279--284}, }
Endnote
%0 Journal Article %A Skrabal, Katharina %A Low, Andrew J. %A Dong, Winnie %A Sing, Tobias %A Cheung, Peter K. %A Mammano, Fabrizio %A Harrigan, P. Richard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Determining human immunodeficiency virus coreceptor use in a clinical setting: Degree of correlation between two phenotypic assays and a bioinformatic model : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1EDF-B %F EDOC: 356577 %R 10.1128/JCM.01118-06 %F OTHER: Local-ID: C12573CC004A8E26-16F66204BFF3713AC12573F000379CE4-Skrabal2007 %D 2007 %* Review method: peer-reviewed %J Journal of Clinical Microbiology %V 45 %N 2 %& 279 %P 279 - 284 %@ false
741. Söderhäll C, Marenholz I, Kerscher T, Rüschendorf F, Esparza-Gordillo J, Worm M, Gruber C, Mayr G, Albrecht M, Rohde K, Schulz H, Wahn U, Hubner N, Lee Y-A: Variants in a novel epidermal collagen gene (COL29A1) are associated with atopic dermatitis. PLoS Biology 2007, 5.
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@article{Albrecht2007i, TITLE = {Variants in a novel epidermal collagen gene ({COL29A1}) are associated with atopic dermatitis}, AUTHOR = {S{\"o}derh{\"a}ll, Cilla and Marenholz, Ingo and Kerscher, Tamara and R{\"u}schendorf, Franz and Esparza-Gordillo, Jorge and Worm, Margitta and Gruber, Christoph and Mayr, Gabriele and Albrecht, Mario and Rohde, Klaus and Schulz, Herbert and Wahn, Ulrich and Hubner, Norbert and Lee, Young-Ae}, LANGUAGE = {eng}, ISSN = {1544-9173}, DOI = {10.1371/journal.pbio.0050242}, LOCALID = {Local-ID: C12573CC004A8E26-9A06CA15FA9B247EC125736E00810EE4-Albrecht2007i}, YEAR = {2007}, DATE = {2007}, JOURNAL = {PLoS Biology}, VOLUME = {5}, NUMBER = {9}, PAGES = {e242.1952--1961}, }
Endnote
%0 Journal Article %A S&#246;derh&#228;ll, Cilla %A Marenholz, Ingo %A Kerscher, Tamara %A R&#252;schendorf, Franz %A Esparza-Gordillo, Jorge %A Worm, Margitta %A Gruber, Christoph %A Mayr, Gabriele %A Albrecht, Mario %A Rohde, Klaus %A Schulz, Herbert %A Wahn, Ulrich %A Hubner, Norbert %A Lee, Young-Ae %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Variants in a novel epidermal collagen gene (COL29A1) are associated with atopic dermatitis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-212B-8 %F EDOC: 356580 %R 10.1371/journal.pbio.0050242 %F OTHER: Local-ID: C12573CC004A8E26-9A06CA15FA9B247EC125736E00810EE4-Albrecht2007i %D 2007 %* Review method: peer-reviewed %J PLoS Biology %V 5 %N 9 %& e242.1952 %P e242.1952 - 1961 %@ false
742. Sommer I: Protein Fold Recognition Based on Distant Homologs. In Bioinformatics - From Genomes to Therapies 1 The Building Blocks: Molecular Sequences and Structures. Weinheim, Germany: Wiley-VCH; 2007.
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@incollection{Sommer2007, TITLE = {Protein Fold Recognition Based on Distant Homologs}, AUTHOR = {Sommer, Ingolf}, LANGUAGE = {eng}, ISBN = {3-527-31278-1}, LOCALID = {Local-ID: C12573CC004A8E26-DD2B0D60C8252EC0C12572840039A3F3-Sommer2007}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2007}, DATE = {2007}, BOOKTITLE = {Bioinformatics -- From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures}, EDITOR = {Lengauer, Thomas}, PAGES = {351--388}, }
Endnote
%0 Book Section %A Sommer, Ingolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protein Fold Recognition Based on Distant Homologs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2065-C %F EDOC: 356617 %F OTHER: Local-ID: C12573CC004A8E26-DD2B0D60C8252EC0C12572840039A3F3-Sommer2007 %I Wiley-VCH %C Weinheim, Germany %D 2007 %B Bioinformatics - From Genomes to Therapies 1. The Building Blocks: Molecular Sequences and Structures %E Lengauer, Thomas %P 351 - 388 %I Wiley-VCH %C Weinheim, Germany %@ 3-527-31278-1
743. Sommer I, Müller O, Domingues FS, Sander O, Weickert J, Lengauer T: Moment Invariants as Shape Recognition Technique for Comparing Protein Binding Sites. Bioinformatics 2007, 23.
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@article{Sommer2007b, TITLE = {Moment Invariants as Shape Recognition Technique for Comparing Protein Binding Sites}, AUTHOR = {Sommer, Ingolf and M{\"u}ller, Oliver and Domingues, Francisco S. and Sander, Oliver and Weickert, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btm503}, LOCALID = {Local-ID: C12573CC004A8E26-E97BFCB320EFE5A0C12573B7004FFFA9-Sommer2007b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Bioinformatics}, VOLUME = {23}, NUMBER = {23}, PAGES = {3139--3146}, }
Endnote
%0 Journal Article %A Sommer, Ingolf %A M&#252;ller, Oliver %A Domingues, Francisco S. %A Sander, Oliver %A Weickert, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Moment Invariants as Shape Recognition Technique for Comparing Protein Binding Sites : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1FEE-1 %F EDOC: 356570 %R 10.1093/bioinformatics/btm503 %F OTHER: Local-ID: C12573CC004A8E26-E97BFCB320EFE5A0C12573B7004FFFA9-Sommer2007b %D 2007 %* Review method: peer-reviewed %J Bioinformatics %V 23 %N 23 %& 3139 %P 3139 - 3146 %I Oxford University Press %C Oxford %@ false
744. Steffen A, Thiele C, Tietze S, Strassnig C, Kämper A, Lengauer T, Wenz G, Apostolakis J: Structural and functional comparison of the non-structural protein 4B of Flaviviridae. Journal of Molecular Graphics and Modeling 2007, 26.
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@article{Lengauer2007o, TITLE = {Structural and functional comparison of the non-structural protein {4B} of Flaviviridae}, AUTHOR = {Steffen, Andreas and Thiele, C. and Tietze, S. and Strassnig, C. and K{\"a}mper, A. and Lengauer, Thomas and Wenz, G. and Apostolakis, J.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C12573CC004A8E26-2B2A8CF5725520BFC12573CC00362FEE-Lengauer2007o}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Molecular Graphics and Modeling}, VOLUME = {26}, NUMBER = {2}, PAGES = {546--557}, }
Endnote
%0 Journal Article %A Steffen, Andreas %A Thiele, C. %A Tietze, S. %A Strassnig, C. %A K&#228;mper, A. %A Lengauer, Thomas %A Wenz, G. %A Apostolakis, J. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural and functional comparison of the non-structural protein 4B of Flaviviridae : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20D2-7 %F EDOC: 356562 %F OTHER: Local-ID: C12573CC004A8E26-2B2A8CF5725520BFC12573CC00362FEE-Lengauer2007o %D 2007 %* Review method: peer-reviewed %J Journal of Molecular Graphics and Modeling %V 26 %N 2 %& 546 %P 546 - 557
745. Steffen A, Karasz M, Thiele C, Lengauer T, Kämper A, Wenz G, Apostolakis J: Combined similarity and QSPR virtual screening for guest molecules of ß-cyclodextrin. New Journal of Chemistry 2007, 31.
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@article{Lengauer2007t, TITLE = {Combined similarity and {QSPR} virtual screening for guest molecules of {\ss}-cyclodextrin}, AUTHOR = {Steffen, Andreas and Karasz, Maximilian and Thiele, Carolin and Lengauer, Thomas and K{\"a}mper, Andreas and Wenz, Gerhard and Apostolakis, Joannis}, LANGUAGE = {eng}, ISSN = {0398-9836}, DOI = {10.1039/b707856k}, LOCALID = {Local-ID: C12573CC004A8E26-392501E3C679F87BC12573CC0037E0C1-Lengauer2007t}, YEAR = {2007}, DATE = {2007}, JOURNAL = {New Journal of Chemistry}, VOLUME = {31}, NUMBER = {11}, PAGES = {1941--1949}, }
Endnote
%0 Journal Article %A Steffen, Andreas %A Karasz, Maximilian %A Thiele, Carolin %A Lengauer, Thomas %A K&#228;mper, Andreas %A Wenz, Gerhard %A Apostolakis, Joannis %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Combined similarity and QSPR virtual screening for guest molecules of &#223;-cyclodextrin : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1E89-D %F EDOC: 356569 %R 10.1039/b707856k %F OTHER: Local-ID: C12573CC004A8E26-392501E3C679F87BC12573CC0037E0C1-Lengauer2007t %D 2007 %* Review method: peer-reviewed %J New Journal of Chemistry %V 31 %N 11 %& 1941 %P 1941 - 1949 %@ false
746. Steffen A, Thiele C, Tietze S, Strassnig C, Kämper A, Lengauer T, Wenz G, Apostolakis J: Improved cyclodextrin-based receptors for camptothecin by inverse virtual screening. Chemistry 2007, 13.
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@article{Lengauer2007q, TITLE = {Improved cyclodextrin-based receptors for camptothecin by inverse virtual screening}, AUTHOR = {Steffen, Andreas and Thiele, Carolin and Tietze, Simon and Strassnig, Christian and K{\"a}mper, Andreas and Lengauer, Thomas and Wenz, Gerhard and Apostolakis, Joannis}, LANGUAGE = {eng}, ISSN = {0947-6539}, DOI = {10.1002/chem.200700661}, LOCALID = {Local-ID: C12573CC004A8E26-1CFB006514B6855FC12573CC0036EEB8-Lengauer2007q}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Chemistry}, VOLUME = {13}, NUMBER = {24}, PAGES = {6801--6809}, }
Endnote
%0 Journal Article %A Steffen, Andreas %A Thiele, Carolin %A Tietze, Simon %A Strassnig, Christian %A K&#228;mper, Andreas %A Lengauer, Thomas %A Wenz, Gerhard %A Apostolakis, Joannis %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved cyclodextrin-based receptors for camptothecin by inverse virtual screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1F8A-3 %F EDOC: 356568 %R 10.1002/chem.200700661 %F OTHER: Local-ID: C12573CC004A8E26-1CFB006514B6855FC12573CC0036EEB8-Lengauer2007q %D 2007 %* Review method: peer-reviewed %J Chemistry %V 13 %N 24 %& 6801 %P 6801 - 6809 %@ false
747. Steffen A, Apostolakis J: On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes. Chemistry Central Journal 2007, 1.
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@article{Steffen2007, TITLE = {On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes}, AUTHOR = {Steffen, Andreas and Apostolakis, Joannis}, LANGUAGE = {eng}, ISSN = {1752-153X}, URL = {http://dx.doi.org/10.1186/1752-153X-1-29}, DOI = {10.1186/1752-153X-1-29}, LOCALID = {Local-ID: C125756E0038A185-1C71FA86B3C50BCBC125757E004D18AE-Steffen2007}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Chemistry Central Journal}, VOLUME = {1}, PAGES = {Art.29.1--11}, }
Endnote
%0 Journal Article %A Steffen, Andreas %A Apostolakis, Joannis %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-214B-F %F EDOC: 428286 %R 10.1186/1752-153X-1-29 %U http://dx.doi.org/10.1186/1752-153X-1-29 %F OTHER: Local-ID: C125756E0038A185-1C71FA86B3C50BCBC125757E004D18AE-Steffen2007 %D 2007 %J Chemistry Central Journal %V 1 %& Art.29.1 %P Art.29.1 - 11 %@ false
748. Tress ML, Martelli PL, Frankish A, Reeves GA, Wesselink JJ, Yeats C, Ólason PÍ, Albrecht M, Hegyi H, Giorgetti A, Raimondo D, Lagarde J, Laskowski RA, López G, Sadowski MI, Watson JD, Fariselli P, Rossi I, Nagy A, Kai W, Størling Z, Orsini M, Assenov Y, Blankenburg H, Huthmacher C, Ramírez F, Schlicker A, Denoued F, Jones P, Kerrien S, et al.: The implications of alternative splicing in the ENCODE protein complement. Proceedings of the National Academy of Sciences 2007, 104.
Abstract
Alternative premessenger RNA splicing enables genes to generate more than one gene product. Splicing events that occur within protein coding regions have the potential to alter the biological function of the expressed protein and even to create new protein functions. Alternative splicing has been suggested as one explanation for the discrepancy between the number of human genes and functional complexity. Here, we carry out a detailed study of the alternatively spliced gene products annotated in the ENCODE pilot project. We find that alternative splicing in human genes is more frequent than has commonly been suggested, and we demonstrate that many of the potential alternative gene products will have markedly different structure and function from their constitutively spliced counterparts. For the vast majority of these alternative isoforms, little evidence exists to suggest they have a role as functional proteins, and it seems unlikely that the spectrum of conventional enzymatic or structural functions can be substantially extended through alternative splicing .
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@article{Albrecht2007c, TITLE = {The implications of alternative splicing in the {ENCODE} protein complement}, AUTHOR = {Tress, Michael L. and Martelli, Pier L. and Frankish, Adam and Reeves, Gabrielle A. and Wesselink, Jan J. and Yeats, Corin and {\'O}lason, P{\'a}ll {\'I}. and Albrecht, Mario and Hegyi, Hedi and Giorgetti, Alejandro and Raimondo, Domenico and Lagarde, Julien and Laskowski, Roman A. and L{\'o}pez, Gonzalo and Sadowski, Michael I. and Watson, James D. and Fariselli, Piero and Rossi, Ivan and Nagy, Alinda and Kai, Wang and St{\o}rling, Zenia and Orsini, Massimiliano and Assenov, Yassen and Blankenburg, Hagen and Huthmacher, Carola and Ram{\'i}rez, Fidel and Schlicker, Andreas and Denoued, France and Jones, Phil and Kerrien, Samuel and Orchard, Sandra and Antonarakis, Stylianos E. and Reymond, Alexandre and Birney, Ewan and Brunak, S{\o}ren and Casadio, Rita and Guigo, Roderic and Harrow, Jennifer and Hermjakob, Henning and Jones, David T. and Lengauer, Thomas and Orengo, Christine A. and Patthy, L{\'a}szl{\'o} and Thornton, Janet M. and Tramontano, Anna and Valencia, Alfonso}, LANGUAGE = {eng}, ISSN = {0027-8424}, DOI = {10.1073/pnas.0700800104}, LOCALID = {Local-ID: C12573CC004A8E26-67A2E9CA60FAAE03C12572A4003BF017-Albrecht2007c}, YEAR = {2007}, DATE = {2007}, ABSTRACT = {Alternative premessenger RNA splicing enables genes to generate more than one gene product. Splicing events that occur within protein coding regions have the potential to alter the biological function of the expressed protein and even to create new protein functions. Alternative splicing has been suggested as one explanation for the discrepancy between the number of human genes and functional complexity. Here, we carry out a detailed study of the alternatively spliced gene products annotated in the ENCODE pilot project. We find that alternative splicing in human genes is more frequent than has commonly been suggested, and we demonstrate that many of the potential alternative gene products will have markedly different structure and function from their constitutively spliced counterparts. For the vast majority of these alternative isoforms, little evidence exists to suggest they have a role as functional proteins, and it seems unlikely that the spectrum of conventional enzymatic or structural functions can be substantially extended through alternative splicing .}, JOURNAL = {Proceedings of the National Academy of Sciences}, VOLUME = {104}, NUMBER = {13}, PAGES = {5495--5500}, }
Endnote
%0 Journal Article %A Tress, Michael L. %A Martelli, Pier L. %A Frankish, Adam %A Reeves, Gabrielle A. %A Wesselink, Jan J. %A Yeats, Corin %A &#211;lason, P&#225;ll &#205;. %A Albrecht, Mario %A Hegyi, Hedi %A Giorgetti, Alejandro %A Raimondo, Domenico %A Lagarde, Julien %A Laskowski, Roman A. %A L&#243;pez, Gonzalo %A Sadowski, Michael I. %A Watson, James D. %A Fariselli, Piero %A Rossi, Ivan %A Nagy, Alinda %A Kai, Wang %A St&#248;rling, Zenia %A Orsini, Massimiliano %A Assenov, Yassen %A Blankenburg, Hagen %A Huthmacher, Carola %A Ram&#237;rez, Fidel %A Schlicker, Andreas %A Denoued, France %A Jones, Phil %A Kerrien, Samuel %A Orchard, Sandra %A Antonarakis, Stylianos E. %A Reymond, Alexandre %A Birney, Ewan %A Brunak, S&#248;ren %A Casadio, Rita %A Guigo, Roderic %A Harrow, Jennifer %A Hermjakob, Henning %A Jones, David T. %A Lengauer, Thomas %A Orengo, Christine A. %A Patthy, L&#225;szl&#243; %A Thornton, Janet M. %A Tramontano, Anna %A Valencia, Alfonso %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The implications of alternative splicing in the ENCODE protein complement : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20FF-5 %F EDOC: 356659 %R 10.1073/pnas.0700800104 %F OTHER: Local-ID: C12573CC004A8E26-67A2E9CA60FAAE03C12572A4003BF017-Albrecht2007c %D 2007 %* Review method: peer-reviewed %X Alternative premessenger RNA splicing enables genes to generate more than one gene product. Splicing events that occur within protein coding regions have the potential to alter the biological function of the expressed protein and even to create new protein functions. Alternative splicing has been suggested as one explanation for the discrepancy between the number of human genes and functional complexity. Here, we carry out a detailed study of the alternatively spliced gene products annotated in the ENCODE pilot project. We find that alternative splicing in human genes is more frequent than has commonly been suggested, and we demonstrate that many of the potential alternative gene products will have markedly different structure and function from their constitutively spliced counterparts. For the vast majority of these alternative isoforms, little evidence exists to suggest they have a role as functional proteins, and it seems unlikely that the spectrum of conventional enzymatic or structural functions can be substantially extended through alternative splicing . %J Proceedings of the National Academy of Sciences %V 104 %N 13 %& 5495 %P 5495 - 5500 %@ false
749. Volkamer A: Automated Generation of Pharmacophore Type Constraints to Improve FlexX Docking. Universität des Saarlandes; 2007.
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@mastersthesis{Volkamer2007, TITLE = {Automated Generation of Pharmacophore Type Constraints to Improve Flex{X} Docking}, AUTHOR = {Volkamer, Andrea}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2007}, DATE = {2007-08}, }
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%0 Thesis %A Volkamer, Andrea %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated Generation of Pharmacophore Type Constraints to Improve FlexX Docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FDDC-F %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2007 %V master %9 master
750. Weisser H: Estimating the Local Variance of Protein Structure Models. Universität des Saarlandes; 2007.
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@mastersthesis{Weisser2007, TITLE = {Estimating the Local Variance of Protein Structure Models}, AUTHOR = {Weisser, Hendrik}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, YEAR = {2007}, DATE = {2007}, }
Endnote
%0 Thesis %A Weisser, Hendrik %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating the Local Variance of Protein Structure Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FC7C-D %I Universit&#228;t des Saarlandes %D 2007 %V master %9 master
751. Welker MW, Hofmann W-P, Welsch C, von Wagner M, Herrmann E, Lengauer T, Zeuzem S, Sarrazin C: Correlation of amino acid variations within nonstructural 4B protein with initial viral kinetics during interferon-alpha-based therapy in HCV-1b-infected patients. Journal of Viral Hepatitis 2007, 14.
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@article{Lengauer2006f, TITLE = {Correlation of amino acid variations within nonstructural {4B} protein with initial viral kinetics during interferon-alpha-based therapy in {HCV}-1b-infected patients}, AUTHOR = {Welker, Martin W. and Hofmann, Wolf-Peter and Welsch, Christoph and von Wagner, Michael and Herrmann, Eva and Lengauer, Thomas and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, ISSN = {1352-0504}, DOI = {10.1111/j.1365-2893.2006.00798.x}, LOCALID = {Local-ID: C12573CC004A8E26-AE2F483D6BAC6BDAC12572AD0056CE4D-Lengauer2006f}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Viral Hepatitis}, VOLUME = {14}, PAGES = {338--349}, }
Endnote
%0 Journal Article %A Welker, Martin W. %A Hofmann, Wolf-Peter %A Welsch, Christoph %A von Wagner, Michael %A Herrmann, Eva %A Lengauer, Thomas %A Zeuzem, Stefan %A Sarrazin, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Correlation of amino acid variations within nonstructural 4B protein with initial viral kinetics during interferon-alpha-based therapy in HCV-1b-infected patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1EC0-D %F EDOC: 356581 %R 10.1111/j.1365-2893.2006.00798.x %F OTHER: Local-ID: C12573CC004A8E26-AE2F483D6BAC6BDAC12572AD0056CE4D-Lengauer2006f %D 2007 %* Review method: peer-reviewed %J Journal of Viral Hepatitis %V 14 %& 338 %P 338 - 349 %@ false
752. Welsch C, Albrecht M, Maydt J, Herrmann E, Welker MW, Sarrazin C, Scheidig A, Lengauer T, Zeuzem S: Structural and functional comparison of the non-structural protein 4B in flaviviridae. Journal of Molecular Graphics and Modelling 2007, 26.
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@article{Albrecht2007f, TITLE = {Structural and functional comparison of the non-structural protein {4B} in flaviviridae}, AUTHOR = {Welsch, Christoph and Albrecht, Mario and Maydt, Jochen and Herrmann, Eva and Welker, Martin W. and Sarrazin, Christoph and Scheidig, Axel and Lengauer, Thomas and Zeuzem, Stefan}, LANGUAGE = {eng}, ISSN = {1093-3263}, DOI = {10.1016/j.jmgm.2007.03.012}, LOCALID = {Local-ID: C12573CC004A8E26-CDDD8BBF72E785B8C12572AD0052559C-Albrecht2007f}, YEAR = {2007}, DATE = {2007}, JOURNAL = {Journal of Molecular Graphics and Modelling}, VOLUME = {26}, NUMBER = {2}, PAGES = {546--557}, }
Endnote
%0 Journal Article %A Welsch, Christoph %A Albrecht, Mario %A Maydt, Jochen %A Herrmann, Eva %A Welker, Martin W. %A Sarrazin, Christoph %A Scheidig, Axel %A Lengauer, Thomas %A Zeuzem, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T Structural and functional comparison of the non-structural protein 4B in flaviviridae : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-20D0-B %F EDOC: 356586 %R 10.1016/j.jmgm.2007.03.012 %F OTHER: Local-ID: C12573CC004A8E26-CDDD8BBF72E785B8C12572AD0052559C-Albrecht2007f %D 2007 %* Review method: peer-reviewed %J Journal of Molecular Graphics and Modelling %V 26 %N 2 %& 546 %P 546 - 557 %@ false
2006
753. Albrecht M: Combining protein structure prediction with experiments and functional information. Universität des Saarlandes; 2006.
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@phdthesis{Albrecht2006i, TITLE = {Combining protein structure prediction with experiments and functional information}, AUTHOR = {Albrecht, Mario}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291-scidok-11988}, DOI = {10.22028/D291-25873}, LOCALID = {Local-ID: C125673F004B2D7B-96422E3C0D0A2190C125729600409EA0-Albrecht2006i}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Albrecht, Mario %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Combining protein structure prediction with experiments and functional information : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21BD-2 %F EDOC: 314511 %F OTHER: Local-ID: C125673F004B2D7B-96422E3C0D0A2190C125729600409EA0-Albrecht2006i %R 10.22028/D291-25873 %U urn:nbn:de:bsz:291-scidok-11988 %F OTHER: hdl:20.500.11880/25929 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V phd %9 phd %U http://scidok.sulb.uni-saarland.de/volltexte/2007/1198/
754. Albrecht M, Takken FLW: Update on the domain architectures of NLRs and R proteins. Biochemical and Biophysical Research Communications 2006, 339.
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@article{Albrecht2006a, TITLE = {Update on the domain architectures of {NLRs} and R proteins}, AUTHOR = {Albrecht, Mario and Takken, Frank L. W.}, LANGUAGE = {eng}, ISBN = {0006291X}, LOCALID = {Local-ID: C125673F004B2D7B-AFD5E7A8E3460BABC12570AD0073BA73-Albrecht2006a}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Biochemical and Biophysical Research Communications}, VOLUME = {339}, PAGES = {459--462}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Takken, Frank L. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Update on the domain architectures of NLRs and R proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-246C-B %F EDOC: 314468 %F OTHER: Local-ID: C125673F004B2D7B-AFD5E7A8E3460BABC12570AD0073BA73-Albrecht2006a %D 2006 %* Review method: peer-reviewed %J Biochemical and Biophysical Research Communications %V 339 %& 459 %P 459 - 462 %@ 0006291X
755. Alexa A, Rahnenführer J, Lengauer T: Improved Scoring of Functional Groups from Gene Expression Data by Decorrelating GO Graph Structure. Bioinformatics 2006, 22.
Abstract
\begin{abstract}<br>\section{Motivation:}<br>The result of a typical microarray experiment is a long list of genes with <br>corresponding expression<br>measurements. This list is only the starting point for a meaningful biological <br>interpretation. Modern<br>methods identify relevant biological processes or functions from gene <br>expression data by scoring the<br>statistical significance of predefined functional gene groups, for example <br>based on<br>\emph{Gene Ontology} (GO). We develop methods that increase the explanatory <br>power of this approach by<br>integrating knowledge about relationships between the GO terms into the <br>calculation of the statistical<br>significance.<br>\section{Results:}<br>We present two novel algorithms that improve GO group scoring using the <br>underlying GO graph topology.<br>The algorithms are evaluated on real and on simulated gene expression data. We <br>show that both methods<br>eliminate local dependencies between GO terms and point to relevant areas in <br>the GO graph that remain<br>undetected with state-of-the-art algorithms for scoring functional terms. A <br>simulation study demonstrates<br>that the new methods exhibit a higher level of detecting relevant biological <br>terms than competing methods.<br>\section{Availability:}<br>\href{http://topgo.bioinf.mpi-inf.mpg.de}{topgo.bioinf.mpi-inf.mpg.de}<br>\section{Contact:} \href{alexa@mpi-sb.mpg.de}{alexa@mpi-sb.mpg.de}<br>\end{abstract}
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@article{Alexa2006a, TITLE = {Improved Scoring of Functional Groups from Gene Expression Data by Decorrelating {GO} Graph Structure}, AUTHOR = {Alexa, Adrian and Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btl140}, LOCALID = {Local-ID: C125673F004B2D7B-FBB39D7F605386EBC125714F00524A67-Alexa2006a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {\begin{abstract}<br>\section{Motivation:}<br>The result of a typical microarray experiment is a long list of genes with <br>corresponding expression<br>measurements. This list is only the starting point for a meaningful biological <br>interpretation. Modern<br>methods identify relevant biological processes or functions from gene <br>expression data by scoring the<br>statistical significance of predefined functional gene groups, for example <br>based on<br>\emph{Gene Ontology} (GO). We develop methods that increase the explanatory <br>power of this approach by<br>integrating knowledge about relationships between the GO terms into the <br>calculation of the statistical<br>significance.<br>\section{Results:}<br>We present two novel algorithms that improve GO group scoring using the <br>underlying GO graph topology.<br>The algorithms are evaluated on real and on simulated gene expression data. We <br>show that both methods<br>eliminate local dependencies between GO terms and point to relevant areas in <br>the GO graph that remain<br>undetected with state-of-the-art algorithms for scoring functional terms. A <br>simulation study demonstrates<br>that the new methods exhibit a higher level of detecting relevant biological <br>terms than competing methods.<br>\section{Availability:}<br>\href{http://topgo.bioinf.mpi-inf.mpg.de}{topgo.bioinf.mpi-inf.mpg.de}<br>\section{Contact:} \href{alexa@mpi-sb.mpg.de}{alexa@mpi-sb.mpg.de}<br>\end{abstract}}, JOURNAL = {Bioinformatics}, VOLUME = {22}, NUMBER = {13}, PAGES = {1600--1607}, }
Endnote
%0 Journal Article %A Alexa, Adrian %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improved Scoring of Functional Groups from Gene Expression Data by Decorrelating GO Graph Structure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-232C-1 %F EDOC: 314665 %F OTHER: Local-ID: C125673F004B2D7B-FBB39D7F605386EBC125714F00524A67-Alexa2006a %R 10.1093/bioinformatics/btl140 %D 2006 %* Review method: peer-reviewed %X \begin{abstract}<br>\section{Motivation:}<br>The result of a typical microarray experiment is a long list of genes with <br>corresponding expression<br>measurements. This list is only the starting point for a meaningful biological <br>interpretation. Modern<br>methods identify relevant biological processes or functions from gene <br>expression data by scoring the<br>statistical significance of predefined functional gene groups, for example <br>based on<br>\emph{Gene Ontology} (GO). We develop methods that increase the explanatory <br>power of this approach by<br>integrating knowledge about relationships between the GO terms into the <br>calculation of the statistical<br>significance.<br>\section{Results:}<br>We present two novel algorithms that improve GO group scoring using the <br>underlying GO graph topology.<br>The algorithms are evaluated on real and on simulated gene expression data. We <br>show that both methods<br>eliminate local dependencies between GO terms and point to relevant areas in <br>the GO graph that remain<br>undetected with state-of-the-art algorithms for scoring functional terms. A <br>simulation study demonstrates<br>that the new methods exhibit a higher level of detecting relevant biological <br>terms than competing methods.<br>\section{Availability:}<br>\href{http://topgo.bioinf.mpi-inf.mpg.de}{topgo.bioinf.mpi-inf.mpg.de}<br>\section{Contact:} \href{alexa@mpi-sb.mpg.de}{alexa@mpi-sb.mpg.de}<br>\end{abstract} %J Bioinformatics %V 22 %N 13 %& 1600 %P 1600 - 1607 %I Oxford University Press %C Oxford %@ false
756. Antes I, Lengauer T: Refinement of Homology Modeled Protein Structures for Molecular Docking. 2006.
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@inproceedings{Antes2006d, TITLE = {Refinement of Homology Modeled Protein Structures for Molecular Docking}, AUTHOR = {Antes, Iris and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7A3931A0038F2395C12572AA004DADE7-Antes2006d}, YEAR = {2006}, DATE = {2006}, ADDRESS = {Bad Honnef}, }
Endnote
%0 Generic %A Antes, Iris %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Refinement of Homology Modeled Protein Structures for Molecular Docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1DB7-D %F EDOC: 314479 %F OTHER: Local-ID: C125673F004B2D7B-7A3931A0038F2395C12572AA004DADE7-Antes2006d %D 2006 %Z name of event: 367. WE-Heraeus Seminar on Biomolecular Simulation %Z date of event: 2006-04-22 - 2006-04-24 %Z place of event: Bad Honnef
757. Antes I, Siu W-I, Lengauer T: DynaPred: A Structure and Sequence based Method for the Prediction of MHC Class I Binding Peptide Sequence and Conformations. Bioinformatics 2006, 22.
Abstract
Motivation: The binding of endogenous antigenic peptides to MHC class I <br>molecules is an important step during the immunologic response of a host <br>against a pathogen. Thus, various sequence- and structure-based prediction <br>methods have been proposed for this purpose. The sequence-based methods are <br>computationally efficient, but are hampered by the need of sufficient <br>experimental data and do not provide a structural interpretation of their <br>results. The structural methods are data-independent, but are quite <br>time-consuming and thus not suited for screening of whole genomes. Here, we <br>present a new method, which performs sequence-based prediction by incorporating <br>information obtained from molecular modeling. This allows us to perform large <br>databases screening and to provide structural information of the results. <br>Results: We developed a SVM-trained, quantitative matrix-based method for the <br>prediction of MHC class I binding peptides, in which the features of the <br>scoring matrix are energy terms retrieved from molecular dynamics simulations. <br>At the same time we used the equilibrated structures obtained from the same <br>simulations in a simple and efficient docking procedure. Our method consists of <br>two steps: First, we predict potential binders from sequence data alone and <br>second, we construct protein-peptide complexes for the predicted binders. So <br>far, we tested our approach on the HLA-A0201 allele. We constructed two <br>prediction models, using local, position-dependent (DynaPredPOS) and global, <br>position-independent (DynaPred) features. The former model outperformed the two <br>sequence-based methods used in our evaluation; the latter shows a much higher <br>generalizability towards other alleles than the position-dependent models. The <br>constructed peptide structures can be refined within seconds to structures with <br>an average backbone RMSD of 1.53 Å from the corresponding experimental <br>structures.
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@article{Lengauer2007e, TITLE = {{DynaPred}: A Structure and Sequence based Method for the Prediction of {MHC} Class I Binding Peptide Sequence and Conformations}, AUTHOR = {Antes, Iris and Siu, Weng-In and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btl216}, LOCALID = {Local-ID: C125673F004B2D7B-0448A6813ACA376EC125725F0030563D-Lengauer2007e}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Motivation: The binding of endogenous antigenic peptides to MHC class I <br>molecules is an important step during the immunologic response of a host <br>against a pathogen. Thus, various sequence- and structure-based prediction <br>methods have been proposed for this purpose. The sequence-based methods are <br>computationally efficient, but are hampered by the need of sufficient <br>experimental data and do not provide a structural interpretation of their <br>results. The structural methods are data-independent, but are quite <br>time-consuming and thus not suited for screening of whole genomes. Here, we <br>present a new method, which performs sequence-based prediction by incorporating <br>information obtained from molecular modeling. This allows us to perform large <br>databases screening and to provide structural information of the results. <br>Results: We developed a SVM-trained, quantitative matrix-based method for the <br>prediction of MHC class I binding peptides, in which the features of the <br>scoring matrix are energy terms retrieved from molecular dynamics simulations. <br>At the same time we used the equilibrated structures obtained from the same <br>simulations in a simple and efficient docking procedure. Our method consists of <br>two steps: First, we predict potential binders from sequence data alone and <br>second, we construct protein-peptide complexes for the predicted binders. So <br>far, we tested our approach on the HLA-A0201 allele. We constructed two <br>prediction models, using local, position-dependent (DynaPredPOS) and global, <br>position-independent (DynaPred) features. The former model outperformed the two <br>sequence-based methods used in our evaluation; the latter shows a much higher <br>generalizability towards other alleles than the position-dependent models. The <br>constructed peptide structures can be refined within seconds to structures with <br>an average backbone RMSD of 1.53 {\AA} from the corresponding experimental <br>structures.}, JOURNAL = {Bioinformatics}, VOLUME = {22}, NUMBER = {14}, PAGES = {e16--e24}, BOOKTITLE = {14th International Conference on Intelligent Systems for Molecular Biology}, }
Endnote
%0 Journal Article %A Antes, Iris %A Siu, Weng-In %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T DynaPred: A Structure and Sequence based Method for the Prediction of MHC Class I Binding Peptide Sequence and Conformations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-22A4-C %F EDOC: 314642 %F OTHER: Local-ID: C125673F004B2D7B-0448A6813ACA376EC125725F0030563D-Lengauer2007e %R 10.1093/bioinformatics/btl216 %D 2006 %* Review method: peer-reviewed %X Motivation: The binding of endogenous antigenic peptides to MHC class I <br>molecules is an important step during the immunologic response of a host <br>against a pathogen. Thus, various sequence- and structure-based prediction <br>methods have been proposed for this purpose. The sequence-based methods are <br>computationally efficient, but are hampered by the need of sufficient <br>experimental data and do not provide a structural interpretation of their <br>results. The structural methods are data-independent, but are quite <br>time-consuming and thus not suited for screening of whole genomes. Here, we <br>present a new method, which performs sequence-based prediction by incorporating <br>information obtained from molecular modeling. This allows us to perform large <br>databases screening and to provide structural information of the results. <br>Results: We developed a SVM-trained, quantitative matrix-based method for the <br>prediction of MHC class I binding peptides, in which the features of the <br>scoring matrix are energy terms retrieved from molecular dynamics simulations. <br>At the same time we used the equilibrated structures obtained from the same <br>simulations in a simple and efficient docking procedure. Our method consists of <br>two steps: First, we predict potential binders from sequence data alone and <br>second, we construct protein-peptide complexes for the predicted binders. So <br>far, we tested our approach on the HLA-A0201 allele. We constructed two <br>prediction models, using local, position-dependent (DynaPredPOS) and global, <br>position-independent (DynaPred) features. The former model outperformed the two <br>sequence-based methods used in our evaluation; the latter shows a much higher <br>generalizability towards other alleles than the position-dependent models. The <br>constructed peptide structures can be refined within seconds to structures with <br>an average backbone RMSD of 1.53 &#197; from the corresponding experimental <br>structures. %J Bioinformatics %V 22 %N 14 %& e16 %P e16 - e24 %I Oxford University Press %C Oxford %@ false %B 14th International Conference on Intelligent Systems for Molecular Biology %O Fortaleza, Brazil, August 6-10, 2006
758. Assenov Y: Topological Analysis of Biological Networks. Universität des Saarlandes; 2006.
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@mastersthesis{Assenov2006a, TITLE = {Topological Analysis of Biological Networks}, AUTHOR = {Assenov, Yassen}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7C34F302699CE873C12572960035F334-Assenov2006a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Assenov, Yassen %Y Albrecht, Mario %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Topological Analysis of Biological Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2441-9 %F EDOC: 314467 %F OTHER: Local-ID: C125673F004B2D7B-7C34F302699CE873C12572960035F334-Assenov2006a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master
759. Binsl T: Feature Prints: A new method for calculating molecular similarities. Universität des Saarlandes; 2006.
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@mastersthesis{Binsl2006a, TITLE = {Feature Prints: A new method for calculating molecular similarities}, AUTHOR = {Binsl, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-9BCD7C5249B9E51AC1257220004855B1-Binsl2006a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Binsl, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Feature Prints: A new method for calculating molecular similarities : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-22D4-F %F EDOC: 314482 %F OTHER: Local-ID: C125673F004B2D7B-9BCD7C5249B9E51AC1257220004855B1-Binsl2006a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master
760. Bock C: Bioinformatik: Neue Strategien gegen Krebs. Deutsches Ärzteblatt Praxis 2006, 103.
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@article{Bock2006d, TITLE = {{Bioinformatik: Neue Strategien gegen Krebs}}, AUTHOR = {Bock, Christoph}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-958705F282F85B42C125721F006DD978-Bock2006d}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Deutsches {\"A}rzteblatt Praxis}, VOLUME = {103}, PAGES = {10--11}, }
Endnote
%0 Journal Article %A Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatik: Neue Strategien gegen Krebs : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2243-4 %F EDOC: 314619 %F OTHER: Local-ID: C125673F004B2D7B-958705F282F85B42C125721F006DD978-Bock2006d %D 2006 %* Review method: peer-reviewed %J Deutsches &#196;rzteblatt Praxis %V 103 %& 10 %P 10 - 11
761. Bock C, Hesser J: Analysis and Prediction of Helix Shift Errors in Homology Modeling. In Silico Biology 2006, 6.
Abstract
High sequence identity between two proteins (e.g. > 60%) is a strong evidence for high structural similarity. However, internal shifts in one of the two proteins can sometimes give rise to unexpectedly high structural differences. This, in turn, causes unreliable structure predictions when two such proteins are used in homology modeling. Here, we perform a computational analysis of helix shifts and we show that their occurrence can be predicted with statistical learning methods. Our results indicate that helix shifts increase the RMS error by factor 2.6 compared to those protein pairs without a helix shift. Although helix shifts are rare (1.6% of helices and a commensurately higher number of proteins are affected), they therefore pose a significant problem for reliable structure prediction systems. In this paper, we prototype a new approach for model quality assessment and demonstrate that it can successfully warn against helix shifts. A support vector machine trained on a wide range of sequence and structure properties predicts the occurrence of helix shifts with a sensitivity of 74.2% and a specificity of 83.6%. On an equalized test dataset, this corresponds to an accuracy of 78.9%. Projected to the full dataset, it translates to an accuracy of 83.4%. Our analysis shows that helix shift detection is a valuable building block for highly reliable structure prediction systems. Furthermore, the statistical learning based approach to helix shift detection that we employ here is orthogonal to well-established model quality assessment methods (which use geometric constraint checking or mean force potentials). Therefore, a further increase of prediction accuracy is expected from the combination of these methods.
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@article{Bock2006a, TITLE = {Analysis and Prediction of Helix Shift Errors in Homology Modeling}, AUTHOR = {Bock, Christoph and Hesser, J{\"u}rgen}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-CBE92F0326A260EEC12571EE00403070-Bock2006a}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {High sequence identity between two proteins (e.g. > 60%) is a strong evidence for high structural similarity. However, internal shifts in one of the two proteins can sometimes give rise to unexpectedly high structural differences. This, in turn, causes unreliable structure predictions when two such proteins are used in homology modeling. Here, we perform a computational analysis of helix shifts and we show that their occurrence can be predicted with statistical learning methods. Our results indicate that helix shifts increase the RMS error by factor 2.6 compared to those protein pairs without a helix shift. Although helix shifts are rare (1.6% of helices and a commensurately higher number of proteins are affected), they therefore pose a significant problem for reliable structure prediction systems. In this paper, we prototype a new approach for model quality assessment and demonstrate that it can successfully warn against helix shifts. A support vector machine trained on a wide range of sequence and structure properties predicts the occurrence of helix shifts with a sensitivity of 74.2% and a specificity of 83.6%. On an equalized test dataset, this corresponds to an accuracy of 78.9%. Projected to the full dataset, it translates to an accuracy of 83.4%. Our analysis shows that helix shift detection is a valuable building block for highly reliable structure prediction systems. Furthermore, the statistical learning based approach to helix shift detection that we employ here is orthogonal to well-established model quality assessment methods (which use geometric constraint checking or mean force potentials). Therefore, a further increase of prediction accuracy is expected from the combination of these methods.}, JOURNAL = {In Silico Biology}, VOLUME = {6}, PAGES = {131--145}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Hesser, J&#252;rgen %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis and Prediction of Helix Shift Errors in Homology Modeling : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21F0-C %F EDOC: 314501 %F OTHER: Local-ID: C125673F004B2D7B-CBE92F0326A260EEC12571EE00403070-Bock2006a %D 2006 %* Review method: peer-reviewed %X High sequence identity between two proteins (e.g. > 60%) is a strong evidence for high structural similarity. However, internal shifts in one of the two proteins can sometimes give rise to unexpectedly high structural differences. This, in turn, causes unreliable structure predictions when two such proteins are used in homology modeling. Here, we perform a computational analysis of helix shifts and we show that their occurrence can be predicted with statistical learning methods. Our results indicate that helix shifts increase the RMS error by factor 2.6 compared to those protein pairs without a helix shift. Although helix shifts are rare (1.6% of helices and a commensurately higher number of proteins are affected), they therefore pose a significant problem for reliable structure prediction systems. In this paper, we prototype a new approach for model quality assessment and demonstrate that it can successfully warn against helix shifts. A support vector machine trained on a wide range of sequence and structure properties predicts the occurrence of helix shifts with a sensitivity of 74.2% and a specificity of 83.6%. On an equalized test dataset, this corresponds to an accuracy of 78.9%. Projected to the full dataset, it translates to an accuracy of 83.4%. Our analysis shows that helix shift detection is a valuable building block for highly reliable structure prediction systems. Furthermore, the statistical learning based approach to helix shift detection that we employ here is orthogonal to well-established model quality assessment methods (which use geometric constraint checking or mean force potentials). Therefore, a further increase of prediction accuracy is expected from the combination of these methods. %J In Silico Biology %V 6 %& 131 %P 131 - 145
762. Bock C, Paulsen M, Tierling S, Mikeska T, Lengauer T, Walter J: CpG Island Methylation in Human Lymphocytes Is Highly Correlated with DNA Sequence, Repeats, and Predicted DNA Structure. PLoS Genetics 2006, 2.
Abstract
CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease.
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@article{Bock2006b, TITLE = {{CpG} Island Methylation in Human Lymphocytes Is Highly Correlated with {DNA} Sequence, Repeats, and Predicted {DNA} Structure}, AUTHOR = {Bock, Christoph and Paulsen, Martina and Tierling, Sascha and Mikeska, Thomas and Lengauer, Thomas and Walter, J{\"o}rn}, LANGUAGE = {eng}, ISSN = {1553-7390}, LOCALID = {Local-ID: C125673F004B2D7B-CDBC13700CF27425C125721F0063D22A-Bock2006b}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease.}, JOURNAL = {PLoS Genetics}, VOLUME = {2}, PAGES = {0243--0252}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Paulsen, Martina %A Tierling, Sascha %A Mikeska, Thomas %A Lengauer, Thomas %A Walter, J&#246;rn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T CpG Island Methylation in Human Lymphocytes Is Highly Correlated with DNA Sequence, Repeats, and Predicted DNA Structure : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2277-1 %F EDOC: 314573 %F OTHER: Local-ID: C125673F004B2D7B-CDBC13700CF27425C125721F0063D22A-Bock2006b %D 2006 %X CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease. %J PLoS Genetics %V 2 %& 0243 %P 0243 - 0252 %@ false
763. Bock C, Halachev K, Lengauer T: Bioinformatisches Data Mining erschließt neue Strategien gegen Krebs. In Aktuelle Trends in der Softwareforschung. Edited by Haasis K, Heinzl A, Klumpp D. Heidelberg, Germany: dpunkt.verlag; 2006.
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@incollection{Bock2006c, TITLE = {{Bioinformatisches Data Mining erschlie{\ss}t neue Strategien gegen Krebs}}, AUTHOR = {Bock, Christoph and Halachev, Konstantin and Lengauer, Thomas}, EDITOR = {Haasis, Klaus and Heinzl, Armin and Klumpp, Dieter}, LANGUAGE = {deu}, ISBN = {3898644138}, LOCALID = {Local-ID: C125673F004B2D7B-43DB95386BE68E88C125721F006D7E4D-Bock2006c}, PUBLISHER = {dpunkt.verlag}, ADDRESS = {Heidelberg, Germany}, YEAR = {2006}, DATE = {2006}, BOOKTITLE = {Aktuelle Trends in der Softwareforschung}, DEBUG = {editor: Haasis, Klaus; editor: Heinzl, Armin; editor: Klumpp, Dieter}, PAGES = {91--99}, }
Endnote
%0 Book Section %A Bock, Christoph %A Halachev, Konstantin %A Lengauer, Thomas %E Haasis, Klaus %E Heinzl, Armin %E Klumpp, Dieter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatisches Data Mining erschlie&#223;t neue Strategien gegen Krebs : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2245-F %F EDOC: 314368 %F OTHER: Local-ID: C125673F004B2D7B-43DB95386BE68E88C125721F006D7E4D-Bock2006c %I dpunkt.verlag %C Heidelberg, Germany %D 2006 %B Aktuelle Trends in der Softwareforschung %E Haasis, Klaus; Heinzl, Armin; Klumpp, Dieter %P 91 - 99 %I dpunkt.verlag %C Heidelberg, Germany %@ 3898644138
764. Boeddrich A, Gaumer S, Haacke A, Tzvetkov N, Albrecht M, Evert BO, Müller EC, Lurz R, Breuer P, Schugardt N, Plaßmann S, Xu K, Warrick JM, Suopanki J, Wüllner U, Frank R, Hartl UF, Bonini NM, Wanker EE: An arginine/lysine-rich motif is crucial for VCP/p97-mediated modulation of ataxin-3 fibrillogenesis. EMBO Journal 2006, 25.
Abstract
Arginine/lysine-rich motifs typically function as targeting signals for the translocation of proteins to the nucleus. Here, we demonstrate that such a motif consisting of four basic amino acids in the polyglutamine protein ataxin-3 (Atx-3) serves as a recognition site for the interaction with the molecular chaperone VCP. Through this interaction, VCP modulates the fibrillogenesis of pathogenic forms of Atx-3 in a concentration-dependent manner, with low concentrations of VCP stimulating fibrillogenesis and excess concentrations suppressing it. No such effect was observed with a mutant Atx-3 variant, which does not contain a functional VCP interaction motif. Strikingly, a stretch of four basic amino acids in the ubiquitin chain assembly factor E4B was also discovered to be critical for VCP binding, indicating that arginine/lysine-rich motifs might be generally utilized by VCP for the targeting of proteins. In vivo studies with Drosophila models confirmed that VCP selectively modulates aggregation and neurotoxicity induced by pathogenic Atx-3. Together, these results define the VCP–Atx-3 association as a potential target for therapeutic intervention and suggest that it might influence the progression of spinocerebellar ataxia type 3.
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@article{Albrecht2006e, TITLE = {An arginine/lysine-rich motif is crucial for {VCP}/p97-mediated modulation of ataxin-3 fibrillogenesis}, AUTHOR = {Boeddrich, Annett and Gaumer, S{\'e}bastien and Haacke, Annette and Tzvetkov, Nikolay and Albrecht, Mario and Evert, Bernd O. and M{\"u}ller, Eva C. and Lurz, Rudi and Breuer, Peter and Schugardt, Nancy and Pla{\ss}mann, Stephanie and Xu, Kexiang and Warrick, John M. and Suopanki, Jaana and W{\"u}llner, Ullrich and Frank, Ronald and Hartl, Ulrich F. and Bonini, Nancy M. and Wanker, Erich E.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-4ED11F9CF875526CC125713A0067DB36-Albrecht2006e}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Arginine/lysine-rich motifs typically function as targeting signals for the translocation of proteins to the nucleus. Here, we demonstrate that such a motif consisting of four basic amino acids in the polyglutamine protein ataxin-3 (Atx-3) serves as a recognition site for the interaction with the molecular chaperone VCP. Through this interaction, VCP modulates the fibrillogenesis of pathogenic forms of Atx-3 in a concentration-dependent manner, with low concentrations of VCP stimulating fibrillogenesis and excess concentrations suppressing it. No such effect was observed with a mutant Atx-3 variant, which does not contain a functional VCP interaction motif. Strikingly, a stretch of four basic amino acids in the ubiquitin chain assembly factor E4B was also discovered to be critical for VCP binding, indicating that arginine/lysine-rich motifs might be generally utilized by VCP for the targeting of proteins. In vivo studies with Drosophila models confirmed that VCP selectively modulates aggregation and neurotoxicity induced by pathogenic Atx-3. Together, these results define the VCP--Atx-3 association as a potential target for therapeutic intervention and suggest that it might influence the progression of spinocerebellar ataxia type 3.}, JOURNAL = {EMBO Journal}, VOLUME = {25}, PAGES = {1547--1558}, }
Endnote
%0 Journal Article %A Boeddrich, Annett %A Gaumer, S&#233;bastien %A Haacke, Annette %A Tzvetkov, Nikolay %A Albrecht, Mario %A Evert, Bernd O. %A M&#252;ller, Eva C. %A Lurz, Rudi %A Breuer, Peter %A Schugardt, Nancy %A Pla&#223;mann, Stephanie %A Xu, Kexiang %A Warrick, John M. %A Suopanki, Jaana %A W&#252;llner, Ullrich %A Frank, Ronald %A Hartl, Ulrich F. %A Bonini, Nancy M. %A Wanker, Erich E. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An arginine/lysine-rich motif is crucial for VCP/p97-mediated modulation of ataxin-3 fibrillogenesis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21FB-5 %F EDOC: 314637 %F OTHER: Local-ID: C125673F004B2D7B-4ED11F9CF875526CC125713A0067DB36-Albrecht2006e %D 2006 %* Review method: peer-reviewed %X Arginine/lysine-rich motifs typically function as targeting signals for the translocation of proteins to the nucleus. Here, we demonstrate that such a motif consisting of four basic amino acids in the polyglutamine protein ataxin-3 (Atx-3) serves as a recognition site for the interaction with the molecular chaperone VCP. Through this interaction, VCP modulates the fibrillogenesis of pathogenic forms of Atx-3 in a concentration-dependent manner, with low concentrations of VCP stimulating fibrillogenesis and excess concentrations suppressing it. No such effect was observed with a mutant Atx-3 variant, which does not contain a functional VCP interaction motif. Strikingly, a stretch of four basic amino acids in the ubiquitin chain assembly factor E4B was also discovered to be critical for VCP binding, indicating that arginine/lysine-rich motifs might be generally utilized by VCP for the targeting of proteins. In vivo studies with Drosophila models confirmed that VCP selectively modulates aggregation and neurotoxicity induced by pathogenic Atx-3. Together, these results define the VCP&#8211;Atx-3 association as a potential target for therapeutic intervention and suggest that it might influence the progression of spinocerebellar ataxia type 3. %J EMBO Journal %V 25 %& 1547 %P 1547 - 1558
765. Frings O: Development of a Smith-Waterman-like Multi-aspect Alignment Tool. Universität des Saarlandes; 2006.
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@mastersthesis{Frings2006Bachelor, TITLE = {Development of a {S}mith-{W}aterman-like Multi-aspect Alignment Tool}, AUTHOR = {Frings, Oliver}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006-01}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Frings, Oliver %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Development of a Smith-Waterman-like Multi-aspect Alignment Tool : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-A6D4-D %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V bachelor %9 bachelor
766. Glaab E: On the Predictability of CpG Methylation in Human Tissue at Single Basepair Resolution. Universität des Saarlandes; 2006.
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@mastersthesis{Glaab2006a, TITLE = {On the Predictability of {CpG} Methylation in Human Tissue at Single Basepair Resolution}, AUTHOR = {Glaab, Enrico}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Glaab, Enrico %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Predictability of CpG Methylation in Human Tissue at Single Basepair Resolution : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FA97-0 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V bachelor %9 bachelor
767. Guo X: Improving Fold Recognition Using Protein and Domain Interactions. Universität des Saarlandes; 2006.
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@mastersthesis{Guo2006a, TITLE = {Improving Fold Recognition Using Protein and Domain Interactions}, AUTHOR = {Guo, Xin}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-C9EF4A035F20034DC12572960035C585-Guo2006a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Guo, Xin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improving Fold Recognition Using Protein and Domain Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21AA-C %F EDOC: 314419 %F OTHER: Local-ID: C125673F004B2D7B-C9EF4A035F20034DC12572960035C585-Guo2006a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master
768. Halachev K: EpiGRAPHregression: A toolkit for (epi-)genomic correlation analysis and prediction of quantitative attributes. Universität des Saarlandes; 2006.
Abstract
Five years ago, the human genome sequence was published, an important milestone towards understanding human biology. However, basic cell processes cannot be explained by the genome sequence alone. Instead, further layers of control such as the epigenome will be important for significant advances towards better understanding of normal and disease-related phenotypes. A new research field in computational biology is currently emerging that is concerned with the analysis of functional information beyond the human genome sequence. Our goal is to provide biologists with means to navigate the large amounts of epigenetic data and with tools to screen these data for biologically interesting associations. We developed a statistical learning methodology that facilitates mapping of epigenetic data against the human genome, identifies areas of over- and underrepresentation, and finds significant correlations with DNA-related attributes. We implemented this methodology in a software toolkit called EpiGRAPHregression. EpiGRAPHregression is a prototype of a genome analysis tool that enables the user to analyze relationships between many attributes, and it provides a quick test whether a newly analyzed attribute can be efficiently predicted from already known attributes. Thereby, EpiGRAPHregression may significantly speed up the analysis of new types of genomic and epigenomic data.
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@mastersthesis{HalachevMaster2006, TITLE = {{EpiGRAPHregression}: A toolkit for (epi-)genomic correlation analysis and prediction of quantitative attributes}, AUTHOR = {Halachev, Konstantin}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-56DA5A90E26AE559C12572350051361B-HalachevMaster2006}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Five years ago, the human genome sequence was published, an important milestone towards understanding human biology. However, basic cell processes cannot be explained by the genome sequence alone. Instead, further layers of control such as the epigenome will be important for significant advances towards better understanding of normal and disease-related phenotypes. A new research field in computational biology is currently emerging that is concerned with the analysis of functional information beyond the human genome sequence. Our goal is to provide biologists with means to navigate the large amounts of epigenetic data and with tools to screen these data for biologically interesting associations. We developed a statistical learning methodology that facilitates mapping of epigenetic data against the human genome, identifies areas of over- and underrepresentation, and finds significant correlations with DNA-related attributes. We implemented this methodology in a software toolkit called EpiGRAPHregression. EpiGRAPHregression is a prototype of a genome analysis tool that enables the user to analyze relationships between many attributes, and it provides a quick test whether a newly analyzed attribute can be efficiently predicted from already known attributes. Thereby, EpiGRAPHregression may significantly speed up the analysis of new types of genomic and epigenomic data.}, }
Endnote
%0 Thesis %A Halachev, Konstantin %Y Lengauer, Thomas %Y Bock, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T EpiGRAPHregression: A toolkit for (epi-)genomic correlation analysis and prediction of quantitative attributes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-22BA-B %F EDOC: 314491 %F OTHER: Local-ID: C125673F004B2D7B-56DA5A90E26AE559C12572350051361B-HalachevMaster2006 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master %X Five years ago, the human genome sequence was published, an important milestone towards understanding human biology. However, basic cell processes cannot be explained by the genome sequence alone. Instead, further layers of control such as the epigenome will be important for significant advances towards better understanding of normal and disease-related phenotypes. A new research field in computational biology is currently emerging that is concerned with the analysis of functional information beyond the human genome sequence. Our goal is to provide biologists with means to navigate the large amounts of epigenetic data and with tools to screen these data for biologically interesting associations. We developed a statistical learning methodology that facilitates mapping of epigenetic data against the human genome, identifies areas of over- and underrepresentation, and finds significant correlations with DNA-related attributes. We implemented this methodology in a software toolkit called EpiGRAPHregression. EpiGRAPHregression is a prototype of a genome analysis tool that enables the user to analyze relationships between many attributes, and it provides a quick test whether a newly analyzed attribute can be efficiently predicted from already known attributes. Thereby, EpiGRAPHregression may significantly speed up the analysis of new types of genomic and epigenomic data.
769. Heckmann-Pohl DM, Bastian S, Altmeier S, Antes I: Improvement of the fungal enzyme pyranose 2-oxidase using protein engineering. Journal of Biotechnology 2006, 124.
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@article{Antes2006b, TITLE = {Improvement of the fungal enzyme pyranose 2-oxidase using protein engineering}, AUTHOR = {Heckmann-Pohl, Dorothee M. and Bastian, Sabine and Altmeier, S. and Antes, Iris}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-B6033010DA0DF8E4C125729D00575467-Antes2006b}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Journal of Biotechnology}, VOLUME = {124}, PAGES = {26--40}, }
Endnote
%0 Journal Article %A Heckmann-Pohl, Dorothee M. %A Bastian, Sabine %A Altmeier, S. %A Antes, Iris %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Improvement of the fungal enzyme pyranose 2-oxidase using protein engineering : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-232E-E %F EDOC: 314613 %F OTHER: Local-ID: C125673F004B2D7B-B6033010DA0DF8E4C125729D00575467-Antes2006b %D 2006 %* Review method: peer-reviewed %J Journal of Biotechnology %V 124 %& 26 %P 26 - 40
770. Heil B, Ludwig J, Lichtenberg-Fraté H, Lengauer T: Computational Recognition of Potassium Channel Sequences. Bioinformatics 2006, 22.
Abstract
Motivation: Potassium channels are mainly known for their role in regulating <br>and maintaining the membrane potential. Since this is one of the key mechanisms <br>of signal transduction, malfunction of these potassium channels leads to a wide <br>variety of severe diseases. Thus potassium channels are priority targets of <br>research for new drugs, despite the fact that this protein family is highly <br>variable and closely related to other channels, which makes it very difficult <br>to identify new types of potassium channel sequences. <br>Results: Here we present a new method for identifying potassium channel <br>sequences (PSM, Property Signature Method), which—in contrast to the known <br>methods for protein classification—is directly based on physicochemical <br>properties of amino acids rather than on the amino acids themselves. A <br>signature for the pore region including the selectivity filter has been <br>created, representing the most common physicochemical properties of known <br>potassium channels. This string enables genome-wide screening for sequences <br>with similar features despite a very low degree of amino acid similarity within <br>a protein family.
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@article{Lengauer2006b, TITLE = {Computational Recognition of Potassium Channel Sequences}, AUTHOR = {Heil, Burkhard and Ludwig, Jost and Lichtenberg-Frat{\'e}, Hella and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btl132}, LOCALID = {Local-ID: C125673F004B2D7B-2DDC20F0E256D1E8C125725F002FF200-Lengauer2006b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Motivation: Potassium channels are mainly known for their role in regulating <br>and maintaining the membrane potential. Since this is one of the key mechanisms <br>of signal transduction, malfunction of these potassium channels leads to a wide <br>variety of severe diseases. Thus potassium channels are priority targets of <br>research for new drugs, despite the fact that this protein family is highly <br>variable and closely related to other channels, which makes it very difficult <br>to identify new types of potassium channel sequences. <br>Results: Here we present a new method for identifying potassium channel <br>sequences (PSM, Property Signature Method), which---in contrast to the known <br>methods for protein classification---is directly based on physicochemical <br>properties of amino acids rather than on the amino acids themselves. A <br>signature for the pore region including the selectivity filter has been <br>created, representing the most common physicochemical properties of known <br>potassium channels. This string enables genome-wide screening for sequences <br>with similar features despite a very low degree of amino acid similarity within <br>a protein family.}, JOURNAL = {Bioinformatics}, VOLUME = {22}, NUMBER = {13}, PAGES = {1562--1568}, }
Endnote
%0 Journal Article %A Heil, Burkhard %A Ludwig, Jost %A Lichtenberg-Frat&#233;, Hella %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Recognition of Potassium Channel Sequences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-225A-1 %F EDOC: 314422 %F OTHER: Local-ID: C125673F004B2D7B-2DDC20F0E256D1E8C125725F002FF200-Lengauer2006b %R 10.1093/bioinformatics/btl132 %D 2006 %* Review method: peer-reviewed %X Motivation: Potassium channels are mainly known for their role in regulating <br>and maintaining the membrane potential. Since this is one of the key mechanisms <br>of signal transduction, malfunction of these potassium channels leads to a wide <br>variety of severe diseases. Thus potassium channels are priority targets of <br>research for new drugs, despite the fact that this protein family is highly <br>variable and closely related to other channels, which makes it very difficult <br>to identify new types of potassium channel sequences. <br>Results: Here we present a new method for identifying potassium channel <br>sequences (PSM, Property Signature Method), which&#8212;in contrast to the known <br>methods for protein classification&#8212;is directly based on physicochemical <br>properties of amino acids rather than on the amino acids themselves. A <br>signature for the pore region including the selectivity filter has been <br>created, representing the most common physicochemical properties of known <br>potassium channels. This string enables genome-wide screening for sequences <br>with similar features despite a very low degree of amino acid similarity within <br>a protein family. %J Bioinformatics %V 22 %N 13 %& 1562 %P 1562 - 1568 %I Oxford University Press %C Oxford %@ false
771. Huthmacher C: Decomposing Protein Networks Into Domain-Domain Interactions. Eberhard Karls University; 2006.
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@mastersthesis{Huthmacher2006a, TITLE = {Decomposing Protein Networks Into Domain-Domain Interactions}, AUTHOR = {Huthmacher, Carola}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-4459D5336D4C3480C12572960033D7A7-Huthmacher2006a}, SCHOOL = {Eberhard Karls University}, ADDRESS = {T{\"u}bingen}, YEAR = {2006}, DATE = {2006}, TYPE = {Diploma thesis}, }
Endnote
%0 Thesis %A Huthmacher, Carola %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Decomposing Protein Networks Into Domain-Domain Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21AC-8 %F EDOC: 314397 %F OTHER: Local-ID: C125673F004B2D7B-4459D5336D4C3480C12572960033D7A7-Huthmacher2006a %I Eberhard Karls University %C T&#252;bingen %D 2006 %V diploma %9 diploma
772. Jung H: Yamada Analyzer - A Tool for Fast Calculation of Genomic Attributes. Universität des Saarlandes; 2006.
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@mastersthesis{Jung2006a, TITLE = {Yamada Analyzer -- A Tool for Fast Calculation of Genomic Attributes}, AUTHOR = {Jung, Holger}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Jung, Holger %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Yamada Analyzer - A Tool for Fast Calculation of Genomic Attributes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-F723-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V bachelor %9 bachelor
773. Kämper A, Apostolakis J, Rarey M, Marian CM, Lengauer T: Fully Automated Flexible Docking of Ligands into Flexible Synthetic Receptors Using Forward and Inverse Docking Strategies. Journal of Chemical Information and Modeling 2006, 46.
Abstract
The prediction of the structure of host-guest complexes is one of the most <br>challenging problems in supramolecular chemistry. Usual procedures for docking <br>of ligands into receptors do not take full conformational freedom of the host <br>molecule into account. We describe and apply a new docking approach which <br>performs a conformational sampling of the host and then sequentially docks the <br>ligand into all receptor conformers using the incremental construction <br>technique of the FlexX software platform. The applicability of this approach is <br>validated on a set of host-guest complexes with known crystal structure. <br>Moreover, we demonstrate that due to the interchangeability of the roles of <br>host and guest, the docking process can be inverted. In this inverse docking <br>mode, the receptor molecule is docked around its ligand. For all investigated <br>test cases, the predicted structures are in good agreement with the experiment <br>for both normal (forward) and inverse docking. Since the ligand is often <br>smaller than the receptor and, thus, its conformational space is more <br>restricted, the inverse docking approach leads in most cases to considerable <br>speed-up. By having the choice between two alternative docking directions, the <br>application range of the method is significantly extended. Finally, an <br>important result of this study is the suitability of the simple energy function <br>used here for structure prediction of complexes in organic media.
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@article{Kaemper2006a, TITLE = {Fully Automated Flexible Docking of Ligands into Flexible Synthetic Receptors Using Forward and Inverse Docking Strategies}, AUTHOR = {K{\"a}mper, Andreas and Apostolakis, Joannis and Rarey, Matthias and Marian, Christel M. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci050467z}, LOCALID = {Local-ID: C125673F004B2D7B-BF5F1BA2A334D543C125722000467E5F-Kaemper2006a}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {The prediction of the structure of host-guest complexes is one of the most <br>challenging problems in supramolecular chemistry. Usual procedures for docking <br>of ligands into receptors do not take full conformational freedom of the host <br>molecule into account. We describe and apply a new docking approach which <br>performs a conformational sampling of the host and then sequentially docks the <br>ligand into all receptor conformers using the incremental construction <br>technique of the FlexX software platform. The applicability of this approach is <br>validated on a set of host-guest complexes with known crystal structure. <br>Moreover, we demonstrate that due to the interchangeability of the roles of <br>host and guest, the docking process can be inverted. In this inverse docking <br>mode, the receptor molecule is docked around its ligand. For all investigated <br>test cases, the predicted structures are in good agreement with the experiment <br>for both normal (forward) and inverse docking. Since the ligand is often <br>smaller than the receptor and, thus, its conformational space is more <br>restricted, the inverse docking approach leads in most cases to considerable <br>speed-up. By having the choice between two alternative docking directions, the <br>application range of the method is significantly extended. Finally, an <br>important result of this study is the suitability of the simple energy function <br>used here for structure prediction of complexes in organic media.}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {46}, NUMBER = {2}, PAGES = {903--911}, }
Endnote
%0 Journal Article %A K&#228;mper, Andreas %A Apostolakis, Joannis %A Rarey, Matthias %A Marian, Christel M. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Fully Automated Flexible Docking of Ligands into Flexible Synthetic Receptors Using Forward and Inverse Docking Strategies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-22F0-D %F EDOC: 314450 %F OTHER: Local-ID: C125673F004B2D7B-BF5F1BA2A334D543C125722000467E5F-Kaemper2006a %R 10.1021/ci050467z %D 2006 %* Review method: peer-reviewed %X The prediction of the structure of host-guest complexes is one of the most <br>challenging problems in supramolecular chemistry. Usual procedures for docking <br>of ligands into receptors do not take full conformational freedom of the host <br>molecule into account. We describe and apply a new docking approach which <br>performs a conformational sampling of the host and then sequentially docks the <br>ligand into all receptor conformers using the incremental construction <br>technique of the FlexX software platform. The applicability of this approach is <br>validated on a set of host-guest complexes with known crystal structure. <br>Moreover, we demonstrate that due to the interchangeability of the roles of <br>host and guest, the docking process can be inverted. In this inverse docking <br>mode, the receptor molecule is docked around its ligand. For all investigated <br>test cases, the predicted structures are in good agreement with the experiment <br>for both normal (forward) and inverse docking. Since the ligand is often <br>smaller than the receptor and, thus, its conformational space is more <br>restricted, the inverse docking approach leads in most cases to considerable <br>speed-up. By having the choice between two alternative docking directions, the <br>application range of the method is significantly extended. Finally, an <br>important result of this study is the suitability of the simple energy function <br>used here for structure prediction of complexes in organic media. %J Journal of Chemical Information and Modeling %O J. Chem. Inf. Model. %V 46 %N 2 %& 903 %P 903 - 911 %I American Chemical Society %C Washington, D.C. %@ false
774. Kaspar M: Automated conformational analysis of macrocyclic ring systems. Universität des Saarlandes; 2006.
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@mastersthesis{Kaspar2006a, TITLE = {Automated conformational analysis of macrocyclic ring systems}, AUTHOR = {Kaspar, Melanie}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-57A94B416CA8D4E9C12572200047FAC2-Kaspar2006a}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Kaspar, Melanie %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated conformational analysis of macrocyclic ring systems : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-219C-A %F EDOC: 314464 %F OTHER: Local-ID: C125673F004B2D7B-57A94B416CA8D4E9C12572200047FAC2-Kaspar2006a %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master
775. Lehmann C, Däumer M, Bousaad I, Sing T, Beerenwinkel N, Lengauer T, Schmeisser N, Wyen C, Fätkenheuer G, Kaiser R: Stable coreceptor usage of HIV in patients with ongoing treatment failure on HAART. Journal of Clinical Virology 2006, 37.
Abstract
Background Disease progression in HIV infection has been associated with switch of viral coreceptor usage from CCR5 to CXCR4. Objectives To investigate the relationship between HIV-coreceptor tropism and clinical and virological outcome in 40 heavily pretreated patients over time. Methods Coreceptor phenotype was predicted after sequencing the V3 loop of the HIV glycoprotein 120. Results Coreceptor use was stable during observation time in 87% of patients, and CCR5 tropism was predominant. Viral mutations in the pol gene and clinical parameters were not predictive for coreceptor switching. Conclusions Even in patients with repeated HAART failure, CCR5 antagonists might be a valuable treatment option.
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@article{Lengauer2006g, TITLE = {Stable coreceptor usage of {HIV} in patients with ongoing treatment failure on {HAART}}, AUTHOR = {Lehmann, Clara and D{\"a}umer, Martin and Bousaad, Ibrahim and Sing, Tobias and Beerenwinkel, Niko and Lengauer, Thomas and Schmeisser, Norbert and Wyen, Christoph and F{\"a}tkenheuer, Gerd and Kaiser, Rolf}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-82595EA0165C7592C125725F00318E9C-Lengauer2006g}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Background Disease progression in HIV infection has been associated with switch of viral coreceptor usage from CCR5 to CXCR4. Objectives To investigate the relationship between HIV-coreceptor tropism and clinical and virological outcome in 40 heavily pretreated patients over time. Methods Coreceptor phenotype was predicted after sequencing the V3 loop of the HIV glycoprotein 120. Results Coreceptor use was stable during observation time in 87% of patients, and CCR5 tropism was predominant. Viral mutations in the pol gene and clinical parameters were not predictive for coreceptor switching. Conclusions Even in patients with repeated HAART failure, CCR5 antagonists might be a valuable treatment option.}, JOURNAL = {Journal of Clinical Virology}, VOLUME = {37}, PAGES = {300--304}, }
Endnote
%0 Journal Article %A Lehmann, Clara %A D&#228;umer, Martin %A Bousaad, Ibrahim %A Sing, Tobias %A Beerenwinkel, Niko %A Lengauer, Thomas %A Schmeisser, Norbert %A Wyen, Christoph %A F&#228;tkenheuer, Gerd %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Stable coreceptor usage of HIV in patients with ongoing treatment failure on HAART : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-23FF-7 %F EDOC: 314398 %F OTHER: Local-ID: C125673F004B2D7B-82595EA0165C7592C125725F00318E9C-Lengauer2006g %D 2006 %* Review method: peer-reviewed %X Background Disease progression in HIV infection has been associated with switch of viral coreceptor usage from CCR5 to CXCR4. Objectives To investigate the relationship between HIV-coreceptor tropism and clinical and virological outcome in 40 heavily pretreated patients over time. Methods Coreceptor phenotype was predicted after sequencing the V3 loop of the HIV glycoprotein 120. Results Coreceptor use was stable during observation time in 87% of patients, and CCR5 tropism was predominant. Viral mutations in the pol gene and clinical parameters were not predictive for coreceptor switching. Conclusions Even in patients with repeated HAART failure, CCR5 antagonists might be a valuable treatment option. %J Journal of Clinical Virology %V 37 %& 300 %P 300 - 304
776. Lengauer T, Domingues FS, Sommer I, Zhu H: Analysis and Prediction of Protein-Protein-Interaction Types. BMC Bioinformatics 2006, 7.
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@article{LengauerZhu2006, TITLE = {Analysis and Prediction of Protein-Protein-Interaction Types}, AUTHOR = {Lengauer, Thomas and Domingues, F.S. and Sommer, Ingolf and Zhu, Hongbo}, LANGUAGE = {eng}, ISSN = {1471-2105}, PUBLISHER = {BioMed Central}, ADDRESS = {s.l.}, YEAR = {2006}, DATE = {2006}, JOURNAL = {BMC Bioinformatics}, VOLUME = {7}, NUMBER = {1}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Domingues, F.S. %A Sommer, Ingolf %A Zhu, Hongbo %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis and Prediction of Protein-Protein-Interaction Types : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FBDB-0 %D 2006 %J BMC Bioinformatics %V 7 %N 1 %I BioMed Central %C s.l. %@ false
777. Lengauer T, Sing T: Bioinformatics-assisted anti-HIV therapy. Nature Reviews Microbiology 2006, 4.
Abstract
Highly active antiretroviral therapy (HAART), in which three or more drugs are given in combination, has substantially improved the clinical management of HIV-1 infection. Still, the emergence of drug-resistant variants eventually leads to therapy failure in most patients. In such a scenario, the high diversity of resistance-associated mutational patterns complicates the choice of an optimal follow-up regimen. To support physicians in this task, a range of bioinformatics tools for predicting drug resistance or response to combination therapy from the viral genotype have been developed. With several free and commercial software services available, computational advice is rapidly gaining acceptance as an important element of rational decision-making in the treatment of HIV infection.
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@article{LengauerNatRev2006, TITLE = {Bioinformatics-assisted anti-{HIV} therapy}, AUTHOR = {Lengauer, Thomas and Sing, Tobias}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-88596D9D3AAEC2DEC1257289005E58AD-LengauerNatRev2006}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Highly active antiretroviral therapy (HAART), in which three or more drugs are given in combination, has substantially improved the clinical management of HIV-1 infection. Still, the emergence of drug-resistant variants eventually leads to therapy failure in most patients. In such a scenario, the high diversity of resistance-associated mutational patterns complicates the choice of an optimal follow-up regimen. To support physicians in this task, a range of bioinformatics tools for predicting drug resistance or response to combination therapy from the viral genotype have been developed. With several free and commercial software services available, computational advice is rapidly gaining acceptance as an important element of rational decision-making in the treatment of HIV infection.}, JOURNAL = {Nature Reviews Microbiology}, VOLUME = {4}, PAGES = {790--797}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Sing, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatics-assisted anti-HIV therapy : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2241-8 %F EDOC: 314506 %F OTHER: Local-ID: C125673F004B2D7B-88596D9D3AAEC2DEC1257289005E58AD-LengauerNatRev2006 %D 2006 %* Review method: peer-reviewed %X Highly active antiretroviral therapy (HAART), in which three or more drugs are given in combination, has substantially improved the clinical management of HIV-1 infection. Still, the emergence of drug-resistant variants eventually leads to therapy failure in most patients. In such a scenario, the high diversity of resistance-associated mutational patterns complicates the choice of an optimal follow-up regimen. To support physicians in this task, a range of bioinformatics tools for predicting drug resistance or response to combination therapy from the viral genotype have been developed. With several free and commercial software services available, computational advice is rapidly gaining acceptance as an important element of rational decision-making in the treatment of HIV infection. %J Nature Reviews Microbiology %V 4 %& 790 %P 790 - 797
778. Maydt J, Lengauer T: Recco: Recombination Analysis using Cost Optimization. Bioinformatics 2006, 22.
Abstract
Motivation: Recombination plays an important role in the evolution of many <br>pathogens, such as HIV or malaria. Despite substantial prior work, there is <br>still a pressing need for efficient and effective methods of detecting <br>recombination and analyzing recombinant sequences. <br>Results: We introduce Recco, a novel fast method that, given a multiple <br>sequence alignment, scores the cost of obtaining one of the sequences from the <br>others by mutation and recombination. The algorithm comes with an illustrative <br>visualization tool for locating recombination breakpoints. We analyze the <br>sequence alignment with respect to all choices of the parameter weighting <br>recombination cost against mutation cost. The analysis of the resulting cost <br>curve yields additional information as to which sequence might be recombinant. <br>On random genealogies Recco is comparable in its power of detecting <br>recombination with the algorithm Geneconv (Sawyer, 1989). For specific relevant <br>recombination scenarios Recco significantly outperforms Geneconv. <br>Availability: Recco is available at http://bioinf.mpi-inf.mpg.de/recco/ <br>Contact: jmaydt@mpi-inf.mpg.de
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@article{Maydt2006, TITLE = {Recco: Recombination Analysis using Cost Optimization}, AUTHOR = {Maydt, Jochen and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btl057}, LOCALID = {Local-ID: C125673F004B2D7B-578C261B341CEC59C125721E0048F0B9-Maydt2006}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Motivation: Recombination plays an important role in the evolution of many <br>pathogens, such as HIV or malaria. Despite substantial prior work, there is <br>still a pressing need for efficient and effective methods of detecting <br>recombination and analyzing recombinant sequences. <br>Results: We introduce Recco, a novel fast method that, given a multiple <br>sequence alignment, scores the cost of obtaining one of the sequences from the <br>others by mutation and recombination. The algorithm comes with an illustrative <br>visualization tool for locating recombination breakpoints. We analyze the <br>sequence alignment with respect to all choices of the parameter weighting <br>recombination cost against mutation cost. The analysis of the resulting cost <br>curve yields additional information as to which sequence might be recombinant. <br>On random genealogies Recco is comparable in its power of detecting <br>recombination with the algorithm Geneconv (Sawyer, 1989). For specific relevant <br>recombination scenarios Recco significantly outperforms Geneconv. <br>Availability: Recco is available at http://bioinf.mpi-inf.mpg.de/recco/ <br>Contact: jmaydt@mpi-inf.mpg.de}, JOURNAL = {Bioinformatics}, VOLUME = {22}, NUMBER = {9}, PAGES = {1064--1071}, }
Endnote
%0 Journal Article %A Maydt, Jochen %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Recco: Recombination Analysis using Cost Optimization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-23CD-A %F EDOC: 314608 %F OTHER: Local-ID: C125673F004B2D7B-578C261B341CEC59C125721E0048F0B9-Maydt2006 %R 10.1093/bioinformatics/btl057 %D 2006 %* Review method: peer-reviewed %X Motivation: Recombination plays an important role in the evolution of many <br>pathogens, such as HIV or malaria. Despite substantial prior work, there is <br>still a pressing need for efficient and effective methods of detecting <br>recombination and analyzing recombinant sequences. <br>Results: We introduce Recco, a novel fast method that, given a multiple <br>sequence alignment, scores the cost of obtaining one of the sequences from the <br>others by mutation and recombination. The algorithm comes with an illustrative <br>visualization tool for locating recombination breakpoints. We analyze the <br>sequence alignment with respect to all choices of the parameter weighting <br>recombination cost against mutation cost. The analysis of the resulting cost <br>curve yields additional information as to which sequence might be recombinant. <br>On random genealogies Recco is comparable in its power of detecting <br>recombination with the algorithm Geneconv (Sawyer, 1989). For specific relevant <br>recombination scenarios Recco significantly outperforms Geneconv. <br>Availability: Recco is available at http://bioinf.mpi-inf.mpg.de/recco/ <br>Contact: jmaydt@mpi-inf.mpg.de %J Bioinformatics %V 22 %N 9 %& 1064 %P 1064 - 1071 %I Oxford University Press %C Oxford %@ false
779. Mihm U, Grigorian N, Welsch C, Herrmann E, Kronenberger B, Teuber G, von Wagner M, Hofmann W-P, Albrecht M, Lengauer T, Zeuzem S, Sarrazin C: Amino acid variations in hepatitis C virus p7 and sensitivity to antiviral combination therapy with amantadine in chronic hepatitis C. Antiviral Therapy 2006, 11.
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@article{Albrecht2006d, TITLE = {Amino acid variations in hepatitis C virus p7 and sensitivity to antiviral combination therapy with amantadine in chronic hepatitis C}, AUTHOR = {Mihm, Ulrike and Grigorian, Natalia and Welsch, Christoph and Herrmann, Eva and Kronenberger, Bernd and Teuber, Gerlinde and von Wagner, Michael and Hofmann, Wolf-Peter and Albrecht, Mario and Lengauer, Thomas and Zeuzem, Stefan and Sarrazin, Christoph}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-1639C4F59D7B872FC125713A00674A4B-Albrecht2006d}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Antiviral Therapy}, VOLUME = {11}, PAGES = {507--519}, }
Endnote
%0 Journal Article %A Mihm, Ulrike %A Grigorian, Natalia %A Welsch, Christoph %A Herrmann, Eva %A Kronenberger, Bernd %A Teuber, Gerlinde %A von Wagner, Michael %A Hofmann, Wolf-Peter %A Albrecht, Mario %A Lengauer, Thomas %A Zeuzem, Stefan %A Sarrazin, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Amino acid variations in hepatitis C virus p7 and sensitivity to antiviral combination therapy with amantadine in chronic hepatitis C : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21ED-5 %F EDOC: 314636 %F OTHER: Local-ID: C125673F004B2D7B-1639C4F59D7B872FC125713A00674A4B-Albrecht2006d %D 2006 %* Review method: peer-reviewed %J Antiviral Therapy %V 11 %& 507 %P 507 - 519
780. Neumann D, Kohlbacher O, Merkwirth C, Lengauer T: Prediction of Percutaneous Drug Absorption. Journal of Chemical Information and Modeling 2006, 1.
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@article{Lengauer2006h, TITLE = {Prediction of Percutaneous Drug Absorption}, AUTHOR = {Neumann, Dirk and Kohlbacher, Oliver and Merkwirth, Christian and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {1}, NUMBER = {46}, PAGES = {424--429}, }
Endnote
%0 Journal Article %A Neumann, Dirk %A Kohlbacher, Oliver %A Merkwirth, Christian %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prediction of Percutaneous Drug Absorption : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FBF6-3 %D 2006 %J Journal of Chemical Information and Modeling %V 1 %N 46 %& 424 %P 424 - 429 %I American Chemical Society %C Washington, D.C. %@ false
781. Neumann D, Kohlbacher O, Merkwirth C, Lengauer T: A Fully Computational Model for Predicting Percutaneous Drug Absorption. Journal of Chemical Information and Modeling 2006, 46.
Abstract
The prediction of transdermal absorption for arbitrary penetrant structures has <br>several important applications in the pharmaceutical industry. We propose a new <br>data-driven, predictive model for skin permeability coefficients kp based on an <br>ensemble model using k-nearest-neighbor models and ridge regression. The model <br>was trained and validated with a newly assembled data set containing <br>experimental data and structures for 110 compounds. On the basis of three <br>purely computational descriptors (molecular weight, calculated octanol/water <br>partition coefficient, and solvation free energy), we have developed a model <br>allowing for the reliable, purely computational prediction of skin permeability <br>coefficients. The model is both accurate and robust, as we showed in an <br>extensive validation (correlation coefficient for leave-one-out cross <br>validation: Q = 0.948, mean standard error: 0.2 for log kp).
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@article{Lengauer2006c, TITLE = {A Fully Computational Model for Predicting Percutaneous Drug Absorption}, AUTHOR = {Neumann, Dirk and Kohlbacher, Oliver and Merkwirth, Christian and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci050332t}, LOCALID = {Local-ID: C125673F004B2D7B-8AE53C81163A6135C1257289003128A2-Lengauer2006c}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {The prediction of transdermal absorption for arbitrary penetrant structures has <br>several important applications in the pharmaceutical industry. We propose a new <br>data-driven, predictive model for skin permeability coefficients kp based on an <br>ensemble model using k-nearest-neighbor models and ridge regression. The model <br>was trained and validated with a newly assembled data set containing <br>experimental data and structures for 110 compounds. On the basis of three <br>purely computational descriptors (molecular weight, calculated octanol/water <br>partition coefficient, and solvation free energy), we have developed a model <br>allowing for the reliable, purely computational prediction of skin permeability <br>coefficients. The model is both accurate and robust, as we showed in an <br>extensive validation (correlation coefficient for leave-one-out cross <br>validation: Q = 0.948, mean standard error: 0.2 for log kp).}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {46}, NUMBER = {1}, PAGES = {424--429}, }
Endnote
%0 Journal Article %A Neumann, Dirk %A Kohlbacher, Oliver %A Merkwirth, Christian %A Lengauer, Thomas %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Fully Computational Model for Predicting Percutaneous Drug Absorption : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21E1-E %F EDOC: 314566 %F OTHER: Local-ID: C125673F004B2D7B-8AE53C81163A6135C1257289003128A2-Lengauer2006c %R 10.1021/ci050332t %D 2006 %* Review method: peer-reviewed %X The prediction of transdermal absorption for arbitrary penetrant structures has <br>several important applications in the pharmaceutical industry. We propose a new <br>data-driven, predictive model for skin permeability coefficients kp based on an <br>ensemble model using k-nearest-neighbor models and ridge regression. The model <br>was trained and validated with a newly assembled data set containing <br>experimental data and structures for 110 compounds. On the basis of three <br>purely computational descriptors (molecular weight, calculated octanol/water <br>partition coefficient, and solvation free energy), we have developed a model <br>allowing for the reliable, purely computational prediction of skin permeability <br>coefficients. The model is both accurate and robust, as we showed in an <br>extensive validation (correlation coefficient for leave-one-out cross <br>validation: Q = 0.948, mean standard error: 0.2 for log kp). %J Journal of Chemical Information and Modeling %O J. Chem. Inf. Model. %V 46 %N 1 %& 424 %P 424 - 429 %I American Chemical Society %C Washington, D.C. %@ false
782. Pfeifer S: Development of a Fast Geometry-based Screening Compound Prefiltering Technique. Universität des Saarlandes; 2006.
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@mastersthesis{Pfeifer2006a, TITLE = {Development of a Fast Geometry-based Screening Compound Prefiltering Technique}, AUTHOR = {Pfeifer, Susanne}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Pfeifer, Susanne %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Development of a Fast Geometry-based Screening Compound Prefiltering Technique : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FC5F-F %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V bachelor %9 bachelor
783. Plotz G, Welsch C, Giron-Monzon L, Friedhoff P, Albrecht M, Piiper A, Biondi RM, Lengauer T, Zeuzem S, Raedle J: Mutations in the MutSalpha interaction interface of MLH1 can abolish DNA mismatch repair. Nucleic Acids Research 2006, 34.
Abstract
MutL, a heterodimer of MLH1 and PMS2, plays a central role in human DNA mismatch repair. It interacts ATP-dependently with the mismatch detector MutS and assembles and controls further repair enzymes. We tested if the interaction of MutL with DNA-bound MutS is impaired by cancer-associated mutations in MLH1, and identified one mutation (Ala128Pro) which abolished interaction as well as mismatch repair activity. Further examinations revealed three more residues whose mutation interfered with interaction. Homology modelling of MLH1 showed that all residues clustered in a small accessible surface patch, suggesting that the major interaction interface of MutL for MutS is located on the edge of an extensive ß-sheet that backs the MLH1 ATP binding pocket. Bioinformatic analysis confirmed that this patch corresponds to a conserved potential protein– protein interaction interface which is present in both human MLH1 and its E.coli homologue MutL. MutL could be site-specifically crosslinked to MutS from this patch, confirming that the bacterial MutL–MutS complex is established by the corresponding interface in MutL. This is the first study that identifies the conserved major MutL–MutS interaction interface in MLH1 and demonstrates that mutations in this interface can affect interaction and mismatch repair, and thereby can also contribute to cancer development.
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@article{Albrecht2006f, TITLE = {Mutations in the {MutSalpha} interaction interface of {MLH1} can abolish {DNA} mismatch repair}, AUTHOR = {Plotz, Guido and Welsch, Christoph and Giron-Monzon, Luis and Friedhoff, Peter and Albrecht, Mario and Piiper, Albrecht and Biondi, Ricardo M. and Lengauer, Thomas and Zeuzem, Stefan and Raedle, Jochen}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-BE71BD82A60A15E8C125723700639C8E-Albrecht2006f}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {MutL, a heterodimer of MLH1 and PMS2, plays a central role in human DNA mismatch repair. It interacts ATP-dependently with the mismatch detector MutS and assembles and controls further repair enzymes. We tested if the interaction of MutL with DNA-bound MutS is impaired by cancer-associated mutations in MLH1, and identified one mutation (Ala128Pro) which abolished interaction as well as mismatch repair activity. Further examinations revealed three more residues whose mutation interfered with interaction. Homology modelling of MLH1 showed that all residues clustered in a small accessible surface patch, suggesting that the major interaction interface of MutL for MutS is located on the edge of an extensive {\ss}-sheet that backs the MLH1 ATP binding pocket. Bioinformatic analysis confirmed that this patch corresponds to a conserved potential protein-- protein interaction interface which is present in both human MLH1 and its E.coli homologue MutL. MutL could be site-specifically crosslinked to MutS from this patch, confirming that the bacterial MutL--MutS complex is established by the corresponding interface in MutL. This is the first study that identifies the conserved major MutL--MutS interaction interface in MLH1 and demonstrates that mutations in this interface can affect interaction and mismatch repair, and thereby can also contribute to cancer development.}, JOURNAL = {Nucleic Acids Research}, VOLUME = {34}, PAGES = {6574--6586}, }
Endnote
%0 Journal Article %A Plotz, Guido %A Welsch, Christoph %A Giron-Monzon, Luis %A Friedhoff, Peter %A Albrecht, Mario %A Piiper, Albrecht %A Biondi, Ricardo M. %A Lengauer, Thomas %A Zeuzem, Stefan %A Raedle, Jochen %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Mutations in the MutSalpha interaction interface of MLH1 can abolish DNA mismatch repair : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-237F-9 %F EDOC: 314628 %F OTHER: Local-ID: C125673F004B2D7B-BE71BD82A60A15E8C125723700639C8E-Albrecht2006f %D 2006 %* Review method: peer-reviewed %X MutL, a heterodimer of MLH1 and PMS2, plays a central role in human DNA mismatch repair. It interacts ATP-dependently with the mismatch detector MutS and assembles and controls further repair enzymes. We tested if the interaction of MutL with DNA-bound MutS is impaired by cancer-associated mutations in MLH1, and identified one mutation (Ala128Pro) which abolished interaction as well as mismatch repair activity. Further examinations revealed three more residues whose mutation interfered with interaction. Homology modelling of MLH1 showed that all residues clustered in a small accessible surface patch, suggesting that the major interaction interface of MutL for MutS is located on the edge of an extensive &#223;-sheet that backs the MLH1 ATP binding pocket. Bioinformatic analysis confirmed that this patch corresponds to a conserved potential protein&#8211; protein interaction interface which is present in both human MLH1 and its E.coli homologue MutL. MutL could be site-specifically crosslinked to MutS from this patch, confirming that the bacterial MutL&#8211;MutS complex is established by the corresponding interface in MutL. This is the first study that identifies the conserved major MutL&#8211;MutS interaction interface in MLH1 and demonstrates that mutations in this interface can affect interaction and mismatch repair, and thereby can also contribute to cancer development. %J Nucleic Acids Research %V 34 %& 6574 %P 6574 - 6586
784. Rahnenführer J: Statistical Methods for the Biological Interpretation of Genome-wide Measurements. Universität des Saarlandes; 2006.
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@phdthesis{Rahnenfuehrer2006Habil, TITLE = {Statistical Methods for the Biological Interpretation of Genome-wide Measurements}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-D187AFB221662AC4C12572350038E3D6-Rahnenfuehrer2006Habil}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, TYPE = {Habilitation thesis}, }
Endnote
%0 Thesis %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Statistical Methods for the Biological Interpretation of Genome-wide Measurements : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-1DB9-9 %F EDOC: 314455 %F OTHER: Local-ID: C125673F004B2D7B-D187AFB221662AC4C12572350038E3D6-Rahnenfuehrer2006Habil %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V habilitation %9 habilitation
785. Reimer D: Docking Studies to Investigate the Effect of Correlated Mutations in the HIV-Protease on the Drug Resistance of HIV. Universität des Saarlandes; 2006.
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@mastersthesis{Reimer2006, TITLE = {Docking Studies to Investigate the Effect of Correlated Mutations in the {HIV}-{P}rotease on the Drug Resistance of {HIV}}, AUTHOR = {Reimer, Daniela}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Reimer, Daniela %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking Studies to Investigate the Effect of Correlated Mutations in the HIV-Protease on the Drug Resistance of HIV : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0771-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V bachelor %9 bachelor
786. Roomp K, Beerenwinkel N, Sing T, Schülter E, Büch J, Sierra-Aragon S, Däumer M, Hoffmann D, Kaiser R, Lengauer T, Selbig J: Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV. Data Integration in the Life Sciences (DILS 2006) 2006. [Lecture Notes in Bioinformatics, vol. 4075]
Abstract
Despite the availability of antiretroviral combination therapies, success in <br>drug treatment of HIV-infected patients is limited. One reason for therapy <br>failure is the development of drug-resistant genetic variants. In principle, <br>the viral genomic sequence provides resistance information and could thus guide <br>the selection of an optimal drug combination. In practice however, the benefit <br>of this procedure is impaired by (1) the difficulty in inferring the clinically <br>relevant information from the genotype of the virus and (2) the restricted <br>availability of this information. We have developed a secure platform for <br>collaborative research aimed at optimizing anti-HIV therapies, called Arevir. A <br>relational database schema was designed and implemented together with a <br>web-based user interface. Our system provides a basis for monitoring patients, <br>decision-support, and computational analyses. Thus, it merges clinical, <br>diagnostic and bioinformatics efforts to exploit genomic and patient therapy <br>data in clinical practice.
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@misc{Roomp2006, TITLE = {Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against {HIV}}, AUTHOR = {Roomp, Kirsten and Beerenwinkel, Niko and Sing, Tobias and Sch{\"u}lter, Eugen and B{\"u}ch, Joachim and Sierra-Aragon, Saleta and D{\"a}umer, Martin and Hoffmann, Daniel and Kaiser, Rolf and Lengauer, Thomas and Selbig, Joachim}, LANGUAGE = {eng}, ISBN = {978-3-540-36593-8}, DOI = {10.1007/11799511_16}, LOCALID = {Local-ID: C125673F004B2D7B-236FC044A3DD67ADC125729D006059AE-Roomp2006}, PUBLISHER = {Springer}, ADDRESS = {Berlin}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Despite the availability of antiretroviral combination therapies, success in <br>drug treatment of HIV-infected patients is limited. One reason for therapy <br>failure is the development of drug-resistant genetic variants. In principle, <br>the viral genomic sequence provides resistance information and could thus guide <br>the selection of an optimal drug combination. In practice however, the benefit <br>of this procedure is impaired by (1) the difficulty in inferring the clinically <br>relevant information from the genotype of the virus and (2) the restricted <br>availability of this information. We have developed a secure platform for <br>collaborative research aimed at optimizing anti-HIV therapies, called Arevir. A <br>relational database schema was designed and implemented together with a <br>web-based user interface. Our system provides a basis for monitoring patients, <br>decision-support, and computational analyses. Thus, it merges clinical, <br>diagnostic and bioinformatics efforts to exploit genomic and patient therapy <br>data in clinical practice.}, BOOKTITLE = {Data Integration in the Life Sciences (DILS 2006)}, PAGES = {185--194}, SERIES = {Lecture Notes in Bioinformatics}, VOLUME = {4075}, }
Endnote
%0 Conference Proceedings %A Roomp, Kirsten %A Beerenwinkel, Niko %A Sing, Tobias %A Sch&#252;lter, Eugen %A B&#252;ch, Joachim %A Sierra-Aragon, Saleta %A D&#228;umer, Martin %A Hoffmann, Daniel %A Kaiser, Rolf %A Lengauer, Thomas %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2221-0 %F EDOC: 314426 %F OTHER: Local-ID: C125673F004B2D7B-236FC044A3DD67ADC125729D006059AE-Roomp2006 %R 10.1007/11799511_16 %D 2006 %B Third International Workshop on Data Integration in the Life Sciences %Z date of event: 2006-07-22 - 2006-07-22 %C Hinxton, UK %X Despite the availability of antiretroviral combination therapies, success in <br>drug treatment of HIV-infected patients is limited. One reason for therapy <br>failure is the development of drug-resistant genetic variants. In principle, <br>the viral genomic sequence provides resistance information and could thus guide <br>the selection of an optimal drug combination. In practice however, the benefit <br>of this procedure is impaired by (1) the difficulty in inferring the clinically <br>relevant information from the genotype of the virus and (2) the restricted <br>availability of this information. We have developed a secure platform for <br>collaborative research aimed at optimizing anti-HIV therapies, called Arevir. A <br>relational database schema was designed and implemented together with a <br>web-based user interface. Our system provides a basis for monitoring patients, <br>decision-support, and computational analyses. Thus, it merges clinical, <br>diagnostic and bioinformatics efforts to exploit genomic and patient therapy <br>data in clinical practice. %B Data Integration in the Life Sciences %P 185 - 194 %I Springer %@ 978-3-540-36593-8 %B Lecture Notes in Bioinformatics %N 4075 %U https://rdcu.be/dOygQ
787. Salamat-Miller N, Fang J, Seidel CW, Smalter AM, Assenov Y, Albrecht M, Middaugh CR: A network-based analysis of polyanion-binding proteins utilizing yeast protein arrays. Molecular and Cellular Proteomics 2006, 5.
Abstract
The high affinity of certain cellular polyanions for many proteins (polyanion-binding proteins (PABPs)) has been demonstrated previously. It has been hypothesized that such polyanions may be involved in protein structure stabilization, stimulation of folding through chaperone-like activity, and intra- and extracellular protein transport as well as intracellular organization. The purpose of the proteomics studies reported here was to seek evidence for the idea that the nonspecific but high affinity interactions of PABPs with polyanions have a functional role in intracellular processes. Utilizing yeast protein arrays and five biotinylated cellular polyanion probes (actin, tubulin, heparin, heparan sulfate, and DNA), we identified proteins that interact with these probes and analyzed their structural and amino acid sequence requirements as well as their predicted functions in the yeast proteome. We also provide evidence for the existence of a network-like system for PABPs and their potential roles as critical hubs in intracellular behavior. This investigation takes a first step toward achieving a better understanding of the nature of polyanion-protein interactions within cells and introduces an alternative way of thinking about intracellular organization.
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@article{Albrecht2006g, TITLE = {A network-based analysis of polyanion-binding proteins utilizing yeast protein arrays}, AUTHOR = {Salamat-Miller, Nazila and Fang, Jianwen and Seidel, Christopher W. and Smalter, Aaron M. and Assenov, Yassen and Albrecht, Mario and Middaugh, C. Russell}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-371AA66FB90A20D3C125723700640167-Albrecht2006g}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {The high affinity of certain cellular polyanions for many proteins (polyanion-binding proteins (PABPs)) has been demonstrated previously. It has been hypothesized that such polyanions may be involved in protein structure stabilization, stimulation of folding through chaperone-like activity, and intra- and extracellular protein transport as well as intracellular organization. The purpose of the proteomics studies reported here was to seek evidence for the idea that the nonspecific but high affinity interactions of PABPs with polyanions have a functional role in intracellular processes. Utilizing yeast protein arrays and five biotinylated cellular polyanion probes (actin, tubulin, heparin, heparan sulfate, and DNA), we identified proteins that interact with these probes and analyzed their structural and amino acid sequence requirements as well as their predicted functions in the yeast proteome. We also provide evidence for the existence of a network-like system for PABPs and their potential roles as critical hubs in intracellular behavior. This investigation takes a first step toward achieving a better understanding of the nature of polyanion-protein interactions within cells and introduces an alternative way of thinking about intracellular organization.}, JOURNAL = {Molecular and Cellular Proteomics}, VOLUME = {5}, PAGES = {2263--2278}, }
Endnote
%0 Journal Article %A Salamat-Miller, Nazila %A Fang, Jianwen %A Seidel, Christopher W. %A Smalter, Aaron M. %A Assenov, Yassen %A Albrecht, Mario %A Middaugh, C. Russell %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A network-based analysis of polyanion-binding proteins utilizing yeast protein arrays : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2200-9 %F EDOC: 314485 %F OTHER: Local-ID: C125673F004B2D7B-371AA66FB90A20D3C125723700640167-Albrecht2006g %D 2006 %* Review method: peer-reviewed %X The high affinity of certain cellular polyanions for many proteins (polyanion-binding proteins (PABPs)) has been demonstrated previously. It has been hypothesized that such polyanions may be involved in protein structure stabilization, stimulation of folding through chaperone-like activity, and intra- and extracellular protein transport as well as intracellular organization. The purpose of the proteomics studies reported here was to seek evidence for the idea that the nonspecific but high affinity interactions of PABPs with polyanions have a functional role in intracellular processes. Utilizing yeast protein arrays and five biotinylated cellular polyanion probes (actin, tubulin, heparin, heparan sulfate, and DNA), we identified proteins that interact with these probes and analyzed their structural and amino acid sequence requirements as well as their predicted functions in the yeast proteome. We also provide evidence for the existence of a network-like system for PABPs and their potential roles as critical hubs in intracellular behavior. This investigation takes a first step toward achieving a better understanding of the nature of polyanion-protein interactions within cells and introduces an alternative way of thinking about intracellular organization. %J Molecular and Cellular Proteomics %V 5 %& 2263 %P 2263 - 2278
788. Sander O, Sommer I, Lengauer T: Local Protein Structure Prediction using Discriminative Models. BMC Bioinformatics 2006, 7.
Abstract
Background<br>In recent years protein structure prediction methods using local structure <br>information have shown promising improvements. The quality of new fold <br>predictions has risen significantly and in fold recognition incorporation of <br>local structure predictions led to improvements in the accuracy of results.<br>We developed a local structure prediction method to be integrated into either <br>fold recognition or new fold prediction methods. For each local sequence window <br>of a protein sequence the method predicts probability estimates for the <br>sequence to attain particular local structures from a set of predefined local <br>structure candidates.<br>The first step is to define a set of local structure representatives based on <br>clustering recurrent local structures. In the second step a discriminative <br>model is trained to predict the local structure representative given local <br>sequence information.<br>Results<br>The step of clustering local structures yields an average RMSD quantization <br>error of 1.19 Å for 27 structural representatives (for a fragment length of 7 <br>residues). In the prediction step the area under the ROC curve for detection of <br>the 27 classes ranges from 0.68 to 0.88.<br>Conclusion<br>The described method yields probability estimates for local protein structure <br>candidates, giving signals for all kinds of local structure. These local <br>structure predictions can be incorporated either into fold recognition <br>algorithms to improve alignment quality and the overall prediction accuracy or <br>into new fold prediction methods.
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@article{Sander2006, TITLE = {Local Protein Structure Prediction using Discriminative Models}, AUTHOR = {Sander, Oliver and Sommer, Ingolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/1471-2105-7-14}, LOCALID = {Local-ID: C125673F004B2D7B-38F3C8B7D7CC7569C125721E004F57C6-Sander2006}, PUBLISHER = {BioMed Central}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Background<br>In recent years protein structure prediction methods using local structure <br>information have shown promising improvements. The quality of new fold <br>predictions has risen significantly and in fold recognition incorporation of <br>local structure predictions led to improvements in the accuracy of results.<br>We developed a local structure prediction method to be integrated into either <br>fold recognition or new fold prediction methods. For each local sequence window <br>of a protein sequence the method predicts probability estimates for the <br>sequence to attain particular local structures from a set of predefined local <br>structure candidates.<br>The first step is to define a set of local structure representatives based on <br>clustering recurrent local structures. In the second step a discriminative <br>model is trained to predict the local structure representative given local <br>sequence information.<br>Results<br>The step of clustering local structures yields an average RMSD quantization <br>error of 1.19 {\AA} for 27 structural representatives (for a fragment length of 7 <br>residues). In the prediction step the area under the ROC curve for detection of <br>the 27 classes ranges from 0.68 to 0.88.<br>Conclusion<br>The described method yields probability estimates for local protein structure <br>candidates, giving signals for all kinds of local structure. These local <br>structure predictions can be incorporated either into fold recognition <br>algorithms to improve alignment quality and the overall prediction accuracy or <br>into new fold prediction methods.}, JOURNAL = {BMC Bioinformatics}, VOLUME = {7}, PAGES = {1--13}, EID = {14}, }
Endnote
%0 Journal Article %A Sander, Oliver %A Sommer, Ingolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Local Protein Structure Prediction using Discriminative Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-235A-C %F EDOC: 314488 %F OTHER: Local-ID: C125673F004B2D7B-38F3C8B7D7CC7569C125721E004F57C6-Sander2006 %R 10.1186/1471-2105-7-14 %D 2006 %X Background<br>In recent years protein structure prediction methods using local structure <br>information have shown promising improvements. The quality of new fold <br>predictions has risen significantly and in fold recognition incorporation of <br>local structure predictions led to improvements in the accuracy of results.<br>We developed a local structure prediction method to be integrated into either <br>fold recognition or new fold prediction methods. For each local sequence window <br>of a protein sequence the method predicts probability estimates for the <br>sequence to attain particular local structures from a set of predefined local <br>structure candidates.<br>The first step is to define a set of local structure representatives based on <br>clustering recurrent local structures. In the second step a discriminative <br>model is trained to predict the local structure representative given local <br>sequence information.<br>Results<br>The step of clustering local structures yields an average RMSD quantization <br>error of 1.19 &#197; for 27 structural representatives (for a fragment length of 7 <br>residues). In the prediction step the area under the ROC curve for detection of <br>the 27 classes ranges from 0.68 to 0.88.<br>Conclusion<br>The described method yields probability estimates for local protein structure <br>candidates, giving signals for all kinds of local structure. These local <br>structure predictions can be incorporated either into fold recognition <br>algorithms to improve alignment quality and the overall prediction accuracy or <br>into new fold prediction methods. %J BMC Bioinformatics %V 7 %& 1 %P 1 - 13 %Z sequence number: 14 %I BioMed Central %@ false %U https://rdcu.be/dOyAg
789. Schlicker A, Huthmacher C, Ramírez F, Lengauer T, Albrecht M: Functional Evaluation of Domain-domain Interactions and Human Protein Interaction Networks. In Proceedings of the 2006 German Conference on Bioinformatics (GCB 2006). Gesellschaft für Informatik; 2006. [Lecture Notes in Informatics]
Abstract
Large amounts of protein and domain interaction data are being<br>produced by experimental high-throughput techniques and computational<br>approaches. To gain insight into the value of the provided data, we used our new<br>similarity measure based on the Gene Ontology to evaluate the molecular <br>functions<br>and biological processes of interacting proteins or domains. The applied measure<br>particularly addresses the frequent annotation of proteins or domains with <br>multiple<br>Gene Ontology terms. Using our similarity measure, we compare predicted<br>domain-domain and human protein-protein interactions with experimentally<br>derived interactions. The results show that our similarity measure is of <br>significant<br>benefit in quality assessment and confidence ranking of domain and protein<br>networks. We also derive useful confidence score thresholds for dividing domain<br>interaction predictions into subsets of low and high confidence.
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@inproceedings{Albrecht2006h, TITLE = {Functional Evaluation of Domain-domain Interactions and Human Protein Interaction Networks}, AUTHOR = {Schlicker, Andreas and Huthmacher, Carola and Ram{\'i}rez, Fidel and Lengauer, Thomas and Albrecht, Mario}, LANGUAGE = {eng}, ISBN = {978-3-88579-177-5}, LOCALID = {Local-ID: C125673F004B2D7B-D2C0097D30CFFE37C12571F600452604-Albrecht2006h}, PUBLISHER = {Gesellschaft f{\"u}r Informatik}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Large amounts of protein and domain interaction data are being<br>produced by experimental high-throughput techniques and computational<br>approaches. To gain insight into the value of the provided data, we used our new<br>similarity measure based on the Gene Ontology to evaluate the molecular <br>functions<br>and biological processes of interacting proteins or domains. The applied measure<br>particularly addresses the frequent annotation of proteins or domains with <br>multiple<br>Gene Ontology terms. Using our similarity measure, we compare predicted<br>domain-domain and human protein-protein interactions with experimentally<br>derived interactions. The results show that our similarity measure is of <br>significant<br>benefit in quality assessment and confidence ranking of domain and protein<br>networks. We also derive useful confidence score thresholds for dividing domain<br>interaction predictions into subsets of low and high confidence.}, BOOKTITLE = {Proceedings of the 2006 German Conference on Bioinformatics (GCB 2006)}, EDITOR = {Huson, Daniel and Kohlbacher, Oliver and Lupas, Andrei and Nieselt, Kay and Zell, Andreas}, PAGES = {115--126}, SERIES = {Lecture Notes in Informatics}, ADDRESS = {T{\"u}bingen, Germany}, }
Endnote
%0 Conference Proceedings %A Schlicker, Andreas %A Huthmacher, Carola %A Ram&#237;rez, Fidel %A Lengauer, Thomas %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Functional Evaluation of Domain-domain Interactions and Human Protein Interaction Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-22F2-9 %F EDOC: 314486 %F OTHER: Local-ID: C125673F004B2D7B-D2C0097D30CFFE37C12571F600452604-Albrecht2006h %F OTHER: https://dl.gi.de/items/cd6bc6f3-8984-418c-8e56-18dcf86a0b82 %D 2006 %B 2006 German Conference on Bioinformatics %Z date of event: 2006-09-19 - 2006-09-22 %C T&#252;bingen, Germany %X Large amounts of protein and domain interaction data are being<br>produced by experimental high-throughput techniques and computational<br>approaches. To gain insight into the value of the provided data, we used our new<br>similarity measure based on the Gene Ontology to evaluate the molecular <br>functions<br>and biological processes of interacting proteins or domains. The applied measure<br>particularly addresses the frequent annotation of proteins or domains with <br>multiple<br>Gene Ontology terms. Using our similarity measure, we compare predicted<br>domain-domain and human protein-protein interactions with experimentally<br>derived interactions. The results show that our similarity measure is of <br>significant<br>benefit in quality assessment and confidence ranking of domain and protein<br>networks. We also derive useful confidence score thresholds for dividing domain<br>interaction predictions into subsets of low and high confidence. %B Proceedings of the 2006 German Conference on Bioinformatics %E Huson, Daniel; Kohlbacher, Oliver; Lupas, Andrei; Nieselt, Kay; Zell, Andreas %P 115 - 126 %I Gesellschaft f&#252;r Informatik %@ 978-3-88579-177-5 %B Lecture Notes in Informatics
790. Schlicker A, Domingues FS, Rahnenführer J, Lengauer T: A New Measure for Functional Similarity of Gene Products based on Gene Ontology. BMC Bioinformatics 2006, 7.
Abstract
\paragraph*{Background:} Gene Ontology (GO) is a standard vocabulary of<br>functional terms and allows<br>for coherent annotation of gene products. These annotations provide a basis for<br>new methods that compare gene products regarding their molecular function and<br>biological role. <br> <br> \paragraph*{Results:} We present a new method for comparing sets of GO<br>terms and for assessing the functional similarity of gene products. The method<br>relies on two semantic similarity measures; ${\textit sim_{Rel}}$ and ${\textit<br>funSim}$. One measure (${\textit sim_{Rel}}$) is applied in the comparison of<br>the biological processes found in different groups of organisms. The other<br>measure (${\textit funSim}$) is used to find functionally related gene products<br>within the same or between different genomes. Results indicate that the method,<br>in addition to being in good agreement with established sequence similarity<br>approaches, also provides a means for the identification of functionally related<br>proteins independent of evolutionary relationships. The method is also applied<br>to estimating functional similarity between all proteins in Saccharomyces<br>cerevisiae and to visualizing the molecular function space of yeast in a map of<br>the functional space. A similar approach is used to visualize the functional<br>relationships between protein families.<br><br> \paragraph*{Conclusions:} The approach enables the comparison of the<br>underlying molecular biology of different taxonomic groups and provides a new<br>comparative genomics tool identifying functionally related gene products<br>independent of homology. The proposed map of the functional space provides a new<br>global view on the functional relationships between gene products or protein<br>families.
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@article{Schlicker_BMCBioinformatics_2006, TITLE = {A New Measure for Functional Similarity of Gene Products based on Gene Ontology}, AUTHOR = {Schlicker, Andreas and Domingues, Francisco S. and Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/1471-2105-7-302}, LOCALID = {Local-ID: C125673F004B2D7B-BF59AAAC3C285FAEC12571F500572B63-Schlicker_BMCBioinformatics_2006}, PUBLISHER = {BioMed Central}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {\paragraph*{Background:} Gene Ontology (GO) is a standard vocabulary of<br>functional terms and allows<br>for coherent annotation of gene products. These annotations provide a basis for<br>new methods that compare gene products regarding their molecular function and<br>biological role. <br> <br> \paragraph*{Results:} We present a new method for comparing sets of GO<br>terms and for assessing the functional similarity of gene products. The method<br>relies on two semantic similarity measures; ${\textit sim_{Rel}}$ and ${\textit<br>funSim}$. One measure (${\textit sim_{Rel}}$) is applied in the comparison of<br>the biological processes found in different groups of organisms. The other<br>measure (${\textit funSim}$) is used to find functionally related gene products<br>within the same or between different genomes. Results indicate that the method,<br>in addition to being in good agreement with established sequence similarity<br>approaches, also provides a means for the identification of functionally related<br>proteins independent of evolutionary relationships. The method is also applied<br>to estimating functional similarity between all proteins in Saccharomyces<br>cerevisiae and to visualizing the molecular function space of yeast in a map of<br>the functional space. A similar approach is used to visualize the functional<br>relationships between protein families.<br><br> \paragraph*{Conclusions:} The approach enables the comparison of the<br>underlying molecular biology of different taxonomic groups and provides a new<br>comparative genomics tool identifying functionally related gene products<br>independent of homology. The proposed map of the functional space provides a new<br>global view on the functional relationships between gene products or protein<br>families.}, JOURNAL = {BMC Bioinformatics}, VOLUME = {7}, PAGES = {1--16}, EID = {302}, }
Endnote
%0 Journal Article %A Schlicker, Andreas %A Domingues, Francisco S. %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A New Measure for Functional Similarity of Gene Products based on Gene Ontology : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2206-E %F EDOC: 314476 %F OTHER: Local-ID: C125673F004B2D7B-BF59AAAC3C285FAEC12571F500572B63-Schlicker_BMCBioinformatics_2006 %R 10.1186/1471-2105-7-302 %D 2006 %X \paragraph*{Background:} Gene Ontology (GO) is a standard vocabulary of<br>functional terms and allows<br>for coherent annotation of gene products. These annotations provide a basis for<br>new methods that compare gene products regarding their molecular function and<br>biological role. <br> <br> \paragraph*{Results:} We present a new method for comparing sets of GO<br>terms and for assessing the functional similarity of gene products. The method<br>relies on two semantic similarity measures; ${\textit sim_{Rel}}$ and ${\textit<br>funSim}$. One measure (${\textit sim_{Rel}}$) is applied in the comparison of<br>the biological processes found in different groups of organisms. The other<br>measure (${\textit funSim}$) is used to find functionally related gene products<br>within the same or between different genomes. Results indicate that the method,<br>in addition to being in good agreement with established sequence similarity<br>approaches, also provides a means for the identification of functionally related<br>proteins independent of evolutionary relationships. The method is also applied<br>to estimating functional similarity between all proteins in Saccharomyces<br>cerevisiae and to visualizing the molecular function space of yeast in a map of<br>the functional space. A similar approach is used to visualize the functional<br>relationships between protein families.<br><br> \paragraph*{Conclusions:} The approach enables the comparison of the<br>underlying molecular biology of different taxonomic groups and provides a new<br>comparative genomics tool identifying functionally related gene products<br>independent of homology. The proposed map of the functional space provides a new<br>global view on the functional relationships between gene products or protein<br>families. %J BMC Bioinformatics %V 7 %& 1 %P 1 - 16 %Z sequence number: 302 %I BioMed Central %@ false %U https://rdcu.be/dOyxh
791. Sing T, Sander O, Beerenwinkel N, Lengauer T: ROCR: Visualizing Classifier Performance in R. Bioinformatics 2006, 21.
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@article{Sing2005a, TITLE = {{ROCR}: Visualizing Classifier Performance in {R}}, AUTHOR = {Sing, Tobias and Sander, Oliver and Beerenwinkel, Niko and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bti623}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Bioinformatics}, VOLUME = {21}, NUMBER = {20}, PAGES = {3940--3941}, }
Endnote
%0 Journal Article %A Sing, Tobias %A Sander, Oliver %A Beerenwinkel, Niko %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T ROCR: Visualizing Classifier Performance in R : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FBF2-B %R 10.1093/bioinformatics/bti623 %D 2006 %J Bioinformatics %V 21 %N 20 %& 3940 %P 3940 - 3941 %I Oxford University Press %C Oxford %@ false
792. Sommer I, Toppo S, Sander O, Lengauer T, Tosatto S: Improving the Quality of Protein Structure Models by Selecting from Alignment Alternatives. BMC Bioinformatics 2006, 7.
Abstract
Background<br>In the area of protein structure prediction, recently a lot of effort has gone <br>into the development of Model Quality Assessment Programs (MQAPs). MQAPs <br>distinguish high quality protein structure models from inferior models. Here, <br>we propose a new method to use an MQAP to improve the quality of models. With a <br>given target sequence and template structure, we construct a number of <br>different alignments and corresponding models for the sequence. The quality of <br>these models is scored with an MQAP and used to choose the most promising <br>model. An SVM-based selection scheme is suggested for combining MQAP partial <br>potentials, in order to optimize for improved model selection.<br>Results<br>The approach has been tested on a representative set of proteins. The ability <br>of the method to improve models was validated by comparing the MQAP-selected <br>structures to the native structures with the model quality evaluation program <br>TM-score. Using the SVM-based model selection, a significant increase in model <br>quality is obtained (as shown with a Wilcoxon signed rank test yielding <br>p-values below 10-15). The average increase in TMscore is 0.016, the maximum <br>observed increase in TM-score is 0.29.<br>Conclusion<br>In template-based protein structure prediction alignment is known to be a <br>bottleneck limiting the overall model quality. Here we show that a combination <br>of systematic alignment variation and modern model scoring functions can <br>significantly improve the quality of alignment-based models.
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@article{Sommer2006a, TITLE = {Improving the Quality of Protein Structure Models by Selecting from Alignment Alternatives}, AUTHOR = {Sommer, Ingolf and Toppo, Stefano and Sander, Oliver and Lengauer, Thomas and Tosatto, Silvio}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/1471-2105-7-364}, LOCALID = {Local-ID: C125673F004B2D7B-5EA034C3F22F209DC125722C004C0205-Sommer2006a}, PUBLISHER = {BioMed Central}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Background<br>In the area of protein structure prediction, recently a lot of effort has gone <br>into the development of Model Quality Assessment Programs (MQAPs). MQAPs <br>distinguish high quality protein structure models from inferior models. Here, <br>we propose a new method to use an MQAP to improve the quality of models. With a <br>given target sequence and template structure, we construct a number of <br>different alignments and corresponding models for the sequence. The quality of <br>these models is scored with an MQAP and used to choose the most promising <br>model. An SVM-based selection scheme is suggested for combining MQAP partial <br>potentials, in order to optimize for improved model selection.<br>Results<br>The approach has been tested on a representative set of proteins. The ability <br>of the method to improve models was validated by comparing the MQAP-selected <br>structures to the native structures with the model quality evaluation program <br>TM-score. Using the SVM-based model selection, a significant increase in model <br>quality is obtained (as shown with a Wilcoxon signed rank test yielding <br>p-values below 10-15). The average increase in TMscore is 0.016, the maximum <br>observed increase in TM-score is 0.29.<br>Conclusion<br>In template-based protein structure prediction alignment is known to be a <br>bottleneck limiting the overall model quality. Here we show that a combination <br>of systematic alignment variation and modern model scoring functions can <br>significantly improve the quality of alignment-based models.}, JOURNAL = {BMC Bioinformatics}, VOLUME = {7}, PAGES = {1--11}, EID = {364}, }
Endnote
%0 Journal Article %A Sommer, Ingolf %A Toppo, Stefano %A Sander, Oliver %A Lengauer, Thomas %A Tosatto, Silvio %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Improving the Quality of Protein Structure Models by Selecting from Alignment Alternatives : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2330-6 %F EDOC: 314404 %F OTHER: Local-ID: C125673F004B2D7B-5EA034C3F22F209DC125722C004C0205-Sommer2006a %R 10.1186/1471-2105-7-364 %D 2006 %X Background<br>In the area of protein structure prediction, recently a lot of effort has gone <br>into the development of Model Quality Assessment Programs (MQAPs). MQAPs <br>distinguish high quality protein structure models from inferior models. Here, <br>we propose a new method to use an MQAP to improve the quality of models. With a <br>given target sequence and template structure, we construct a number of <br>different alignments and corresponding models for the sequence. The quality of <br>these models is scored with an MQAP and used to choose the most promising <br>model. An SVM-based selection scheme is suggested for combining MQAP partial <br>potentials, in order to optimize for improved model selection.<br>Results<br>The approach has been tested on a representative set of proteins. The ability <br>of the method to improve models was validated by comparing the MQAP-selected <br>structures to the native structures with the model quality evaluation program <br>TM-score. Using the SVM-based model selection, a significant increase in model <br>quality is obtained (as shown with a Wilcoxon signed rank test yielding <br>p-values below 10-15). The average increase in TMscore is 0.016, the maximum <br>observed increase in TM-score is 0.29.<br>Conclusion<br>In template-based protein structure prediction alignment is known to be a <br>bottleneck limiting the overall model quality. Here we show that a combination <br>of systematic alignment variation and modern model scoring functions can <br>significantly improve the quality of alignment-based models. %J BMC Bioinformatics %V 7 %& 1 %P 1 - 11 %Z sequence number: 364 %I BioMed Central %@ false %U https://rdcu.be/dOyuk
793. Steffen A, Kämper A, Lengauer T: Flexible Docking of Ligands into Synthetic Receptors Using a Two-Sided Incremental Construction Algorithm. Journal of Chemical Information and Modeling 2006, 46.
Abstract
We present a new algorithm for the fast and reliable structure prediction of <br>synthetic receptor-ligand complexes. Our method is based on the protein-ligand <br>docking program FlexX and extends our recently introduced docking technique for <br>synthetic receptors, which has been implemented in the program FlexR. To handle <br>the flexibility of the relevant molecules, we apply a novel docking strategy <br>that uses an adaptive two-sided incremental construction algorithm which <br>incorporates the structural flexibility of both the ligand and synthetic <br>receptor. We follow an adaptive strategy, in which one molecule is expanded by <br>attaching its next fragment in all possible torsion angles, whereas the other <br>(partially assembled) molecule serves as a rigid binding partner. Then the <br>roles of the molecules are exchanged. Geometric filters are used to discard <br>partial conformations that cannot realize a targeted interaction pattern <br>derived in a graph-based precomputation phase. The process is repeated until <br>the entire complex is built up. Our algorithm produces promising results on a <br>test data set comprising 10 complexes of synthetic receptors and ligands. The <br>method generated near-native solutions compared to crystal structures in all <br>but one case. It is able to generate solutions within a couple of minutes and <br>has the potential of being used as a virtual screening tool for searching for <br>suitable guest molecules for a given synthetic receptor in large databases of <br>guests and vice versa.
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@article{Steffen2006a, TITLE = {Flexible Docking of Ligands into Synthetic Receptors Using a Two-Sided Incremental Construction Algorithm}, AUTHOR = {Steffen, Andreas and K{\"a}mper, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci060072v}, LOCALID = {Local-ID: C125673F004B2D7B-2557F3C93029E81DC125722000475A67-Steffen2006a}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {We present a new algorithm for the fast and reliable structure prediction of <br>synthetic receptor-ligand complexes. Our method is based on the protein-ligand <br>docking program FlexX and extends our recently introduced docking technique for <br>synthetic receptors, which has been implemented in the program FlexR. To handle <br>the flexibility of the relevant molecules, we apply a novel docking strategy <br>that uses an adaptive two-sided incremental construction algorithm which <br>incorporates the structural flexibility of both the ligand and synthetic <br>receptor. We follow an adaptive strategy, in which one molecule is expanded by <br>attaching its next fragment in all possible torsion angles, whereas the other <br>(partially assembled) molecule serves as a rigid binding partner. Then the <br>roles of the molecules are exchanged. Geometric filters are used to discard <br>partial conformations that cannot realize a targeted interaction pattern <br>derived in a graph-based precomputation phase. The process is repeated until <br>the entire complex is built up. Our algorithm produces promising results on a <br>test data set comprising 10 complexes of synthetic receptors and ligands. The <br>method generated near-native solutions compared to crystal structures in all <br>but one case. It is able to generate solutions within a couple of minutes and <br>has the potential of being used as a virtual screening tool for searching for <br>suitable guest molecules for a given synthetic receptor in large databases of <br>guests and vice versa.}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {46}, NUMBER = {4}, PAGES = {1695--1703}, }
Endnote
%0 Journal Article %A Steffen, Andreas %A K&#228;mper, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Flexible Docking of Ligands into Synthetic Receptors Using a Two-Sided Incremental Construction Algorithm : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-22E3-D %F EDOC: 314439 %F OTHER: Local-ID: C125673F004B2D7B-2557F3C93029E81DC125722000475A67-Steffen2006a %R 10.1021/ci060072v %D 2006 %* Review method: peer-reviewed %X We present a new algorithm for the fast and reliable structure prediction of <br>synthetic receptor-ligand complexes. Our method is based on the protein-ligand <br>docking program FlexX and extends our recently introduced docking technique for <br>synthetic receptors, which has been implemented in the program FlexR. To handle <br>the flexibility of the relevant molecules, we apply a novel docking strategy <br>that uses an adaptive two-sided incremental construction algorithm which <br>incorporates the structural flexibility of both the ligand and synthetic <br>receptor. We follow an adaptive strategy, in which one molecule is expanded by <br>attaching its next fragment in all possible torsion angles, whereas the other <br>(partially assembled) molecule serves as a rigid binding partner. Then the <br>roles of the molecules are exchanged. Geometric filters are used to discard <br>partial conformations that cannot realize a targeted interaction pattern <br>derived in a graph-based precomputation phase. The process is repeated until <br>the entire complex is built up. Our algorithm produces promising results on a <br>test data set comprising 10 complexes of synthetic receptors and ligands. The <br>method generated near-native solutions compared to crystal structures in all <br>but one case. It is able to generate solutions within a couple of minutes and <br>has the potential of being used as a virtual screening tool for searching for <br>suitable guest molecules for a given synthetic receptor in large databases of <br>guests and vice versa. %J Journal of Chemical Information and Modeling %O J. Chem. Inf. Model. %V 46 %N 4 %& 1695 %P 1695 - 1703 %I American Chemical Society %C Washington, D.C. %@ false
794. Steffen A, Kämper A, Lengauer T: Virtual screening for guest molecules of a biosensor. In Biosensors 2006: The ninth world congress on biosensors. Edited by Turner APF. Elsevier; 2006.
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@inproceedings{Steffen2006b, TITLE = {Virtual screening for guest molecules of a biosensor}, AUTHOR = {Steffen, Andreas and K{\"a}mper, Andreas and Lengauer, Thomas}, EDITOR = {Turner, Anthony P. F.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-EA72D67C13348E47C12572200049DFF2-Steffen2006b}, PUBLISHER = {Elsevier}, YEAR = {2006}, DATE = {2006}, BOOKTITLE = {Biosensors 2006: The ninth world congress on biosensors}, }
Endnote
%0 Conference Proceedings %A Steffen, Andreas %A K&#228;mper, Andreas %A Lengauer, Thomas %E Turner, Anthony P. F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Virtual screening for guest molecules of a biosensor : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2474-8 %F EDOC: 314568 %F OTHER: Local-ID: C125673F004B2D7B-EA72D67C13348E47C12572200049DFF2-Steffen2006b %I Elsevier %D 2006 %B Untitled Event %Z date of event: 2006-05-10 - %C Toronto, Canada %B Biosensors 2006: The ninth world congress on biosensors %I Elsevier
795. Svicher V, Sing T, Santoro MM, Forbici F, Rodriguez- Barrios F, Bertoli A, Beerenwinkel N, Bellocchi MC, Gago F, d´Arminio Monforte A, Antinori A, Lengauer T, Ceccherini-Silberstein F, Perno CF: Involvement of novel HIV-1 reverse transcriptase mutations in the regulation of resistance to nucleoside inhibitors. Journal of Virology 2006, 80.
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@article{Lengauer2006d, TITLE = {Involvement of novel {HIV}-1 reverse transcriptase mutations in the regulation of resistance to nucleoside inhibitors}, AUTHOR = {Svicher, V. and Sing, Tobias and Santoro, M. M. and Forbici, F. and Rodriguez- Barrios, F. and Bertoli, A. and Beerenwinkel, Niko and Bellocchi, M. C. and Gago, F. and d'Arminio Monforte, A. and Antinori, A. and Lengauer, Thomas and Ceccherini-Silberstein, Francesca and Perno, C.F.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-5C6C3E3FFF4AC205C125725F002F44C0-Lengauer2006d}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Journal of Virology}, VOLUME = {80}, PAGES = {7186--7198}, }
Endnote
%0 Journal Article %A Svicher, V. %A Sing, Tobias %A Santoro, M. M. %A Forbici, F. %A Rodriguez- Barrios, F. %A Bertoli, A. %A Beerenwinkel, Niko %A Bellocchi, M. C. %A Gago, F. %A d&#180;Arminio Monforte, A. %A Antinori, A. %A Lengauer, Thomas %A Ceccherini-Silberstein, Francesca %A Perno, C.F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T Involvement of novel HIV-1 reverse transcriptase mutations in the regulation of resistance to nucleoside inhibitors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-233D-C %F EDOC: 314415 %F OTHER: Local-ID: C125673F004B2D7B-5C6C3E3FFF4AC205C125725F002F44C0-Lengauer2006d %D 2006 %* Review method: peer-reviewed %J Journal of Virology %V 80 %& 7186 %P 7186 - 7198
796. Takken FL, Albrecht M, Tameling WI: Resistance proteins: molecular switches of plant defence. Current Opinion in Plant Biology 2006, 9.
Abstract
Specificity of the plant innate immune system is often conferred by resistance (R) proteins. Most R proteins contain leucine-rich repeats (LRRs), a central nucleotide-binding site (NBS) and a variable amino-terminal domain. The LRRs are mainly involved in recognition, whereas the amino-terminal domain determines signalling specificity. The NBS forms part of a nucleotide binding (NB)-ARC domain that presumably functions as a molecular switch. The conserved nature of NB-ARC proteins makes it possible to map mutations of R protein residues onto the crystal structures of related NB-ARC proteins, providing hypotheses for the functional roles of these residues. A functional model emerges in which the LRRs control the molecular state of the NB-ARC domain. Pathogen recognition triggers nucleotide-dependent conformational changes that might induce oligomerisation, thereby providing a scaffold for activation of downstream signalling components.
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@article{Albrecht2006c, TITLE = {Resistance proteins: molecular switches of plant defence}, AUTHOR = {Takken, Frank L. and Albrecht, Mario and Tameling, Wladimir I.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-8EB4E2D106B8DB00C125713A0066CB86-Albrecht2006c}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Specificity of the plant innate immune system is often conferred by resistance (R) proteins. Most R proteins contain leucine-rich repeats (LRRs), a central nucleotide-binding site (NBS) and a variable amino-terminal domain. The LRRs are mainly involved in recognition, whereas the amino-terminal domain determines signalling specificity. The NBS forms part of a nucleotide binding (NB)-ARC domain that presumably functions as a molecular switch. The conserved nature of NB-ARC proteins makes it possible to map mutations of R protein residues onto the crystal structures of related NB-ARC proteins, providing hypotheses for the functional roles of these residues. A functional model emerges in which the LRRs control the molecular state of the NB-ARC domain. Pathogen recognition triggers nucleotide-dependent conformational changes that might induce oligomerisation, thereby providing a scaffold for activation of downstream signalling components.}, JOURNAL = {Current Opinion in Plant Biology}, VOLUME = {9}, PAGES = {383--390}, }
Endnote
%0 Journal Article %A Takken, Frank L. %A Albrecht, Mario %A Tameling, Wladimir I. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Resistance proteins: molecular switches of plant defence : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-23DE-2 %F EDOC: 314505 %F OTHER: Local-ID: C125673F004B2D7B-8EB4E2D106B8DB00C125713A0066CB86-Albrecht2006c %D 2006 %* Review method: peer-reviewed %X Specificity of the plant innate immune system is often conferred by resistance (R) proteins. Most R proteins contain leucine-rich repeats (LRRs), a central nucleotide-binding site (NBS) and a variable amino-terminal domain. The LRRs are mainly involved in recognition, whereas the amino-terminal domain determines signalling specificity. The NBS forms part of a nucleotide binding (NB)-ARC domain that presumably functions as a molecular switch. The conserved nature of NB-ARC proteins makes it possible to map mutations of R protein residues onto the crystal structures of related NB-ARC proteins, providing hypotheses for the functional roles of these residues. A functional model emerges in which the LRRs control the molecular state of the NB-ARC domain. Pathogen recognition triggers nucleotide-dependent conformational changes that might induce oligomerisation, thereby providing a scaffold for activation of downstream signalling components. %J Current Opinion in Plant Biology %V 9 %& 383 %P 383 - 390
797. Talwar P, Lengauer T, Wittmann C, Velagapudi V, Heinzle E: Development of Computational Methods for Analysis of Metabolic Profiling Data. In Proceedings of International Conference on Systems Biology (ICSB 2006), Japan. International Conference on Systems Biology 2006; 2006.
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@inproceedings{Talwar2006, TITLE = {Development of Computational Methods for Analysis of Metabolic Profiling Data}, AUTHOR = {Talwar, Priti and Lengauer, Thomas and Wittmann, Christoph and Velagapudi, VR and Heinzle, Elmar}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-5DDFFCF98626AD83C125728B0046DEF3-Talwar2006}, PUBLISHER = {International Conference on Systems Biology 2006}, YEAR = {2006}, DATE = {2006}, BOOKTITLE = {Proceedings of International Conference on Systems Biology (ICSB 2006), Japan}, PAGES = {42--42}, }
Endnote
%0 Conference Proceedings %A Talwar, Priti %A Lengauer, Thomas %A Wittmann, Christoph %A Velagapudi, VR %A Heinzle, Elmar %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T Development of Computational Methods for Analysis of Metabolic Profiling Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-228A-8 %F EDOC: 314387 %F OTHER: Local-ID: C125673F004B2D7B-5DDFFCF98626AD83C125728B0046DEF3-Talwar2006 %I International Conference on Systems Biology 2006 %D 2006 %B Untitled Event %Z date of event: 2006-10-09 - %C Yokohama, Japan %B Proceedings of International Conference on Systems Biology (ICSB 2006), Japan %P 42 - 42 %I International Conference on Systems Biology 2006
798. Tameling WI, Vossen JH, Albrecht M, Lengauer T, Berden JA, Haring MA, Cornelissen BJC, Takken FLW: Mutations in the NB-ARC domain of I-2 that impair ATP hydrolysis cause autoactivation. Plant Physiology 2006, 140.
Abstract
Resistance (R) proteins in plants confer specificity to the innate immune system. Most R proteins have a centrally located NB-ARC (nucleotide-binding adaptor shared by APAF-1, R proteins, and CED-4) domain. For two tomato (Lycopersicon esculentum) R proteins, I-2 and Mi-1, we have previously shown that this domain acts as an ATPase module that can hydrolyze ATP in vitro. To investigate the role of nucleotide binding and hydrolysis for the function of I-2 in planta, specific mutations were introduced in conserved motifs of the NB-ARC domain. Two mutations resulted in autoactivating proteins that induce a pathogen-independent hypersensitive response upon expression in planta. These mutant forms of I-2 were found to be impaired in ATP hydrolysis, but not in ATP binding, suggesting that the ATP- rather than the ADP-bound state of I-2 is the active form that triggers defense signaling. In addition, upon ADP binding, the protein displayed an increased affinity for ADP suggestive of a change of conformation. Based on these data, we propose that the NB-ARC domain of I-2, and likely of related R proteins, functions as a molecular switch whose state (on/off) depends on the nucleotide bound (ATP/ADP).
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@article{Albrecht2006b, TITLE = {Mutations in the {NB}-{ARC} domain of I-2 that impair {ATP} hydrolysis cause autoactivation}, AUTHOR = {Tameling, Wladimir I. and Vossen, Jack H. and Albrecht, Mario and Lengauer, Thomas and Berden, Jan A. and Haring, Michel A. and Cornelissen, Ben J.C. and Takken, Frank L. W.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6189458FCBA1325CC125713A00666DDC-Albrecht2006b}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Resistance (R) proteins in plants confer specificity to the innate immune system. Most R proteins have a centrally located NB-ARC (nucleotide-binding adaptor shared by APAF-1, R proteins, and CED-4) domain. For two tomato (Lycopersicon esculentum) R proteins, I-2 and Mi-1, we have previously shown that this domain acts as an ATPase module that can hydrolyze ATP in vitro. To investigate the role of nucleotide binding and hydrolysis for the function of I-2 in planta, specific mutations were introduced in conserved motifs of the NB-ARC domain. Two mutations resulted in autoactivating proteins that induce a pathogen-independent hypersensitive response upon expression in planta. These mutant forms of I-2 were found to be impaired in ATP hydrolysis, but not in ATP binding, suggesting that the ATP- rather than the ADP-bound state of I-2 is the active form that triggers defense signaling. In addition, upon ADP binding, the protein displayed an increased affinity for ADP suggestive of a change of conformation. Based on these data, we propose that the NB-ARC domain of I-2, and likely of related R proteins, functions as a molecular switch whose state (on/off) depends on the nucleotide bound (ATP/ADP).}, JOURNAL = {Plant Physiology}, VOLUME = {140}, PAGES = {1233--1245}, }
Endnote
%0 Journal Article %A Tameling, Wladimir I. %A Vossen, Jack H. %A Albrecht, Mario %A Lengauer, Thomas %A Berden, Jan A. %A Haring, Michel A. %A Cornelissen, Ben J.C. %A Takken, Frank L. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T Mutations in the NB-ARC domain of I-2 that impair ATP hydrolysis cause autoactivation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2381-1 %F EDOC: 314423 %F OTHER: Local-ID: C125673F004B2D7B-6189458FCBA1325CC125713A00666DDC-Albrecht2006b %D 2006 %* Review method: peer-reviewed %X Resistance (R) proteins in plants confer specificity to the innate immune system. Most R proteins have a centrally located NB-ARC (nucleotide-binding adaptor shared by APAF-1, R proteins, and CED-4) domain. For two tomato (Lycopersicon esculentum) R proteins, I-2 and Mi-1, we have previously shown that this domain acts as an ATPase module that can hydrolyze ATP in vitro. To investigate the role of nucleotide binding and hydrolysis for the function of I-2 in planta, specific mutations were introduced in conserved motifs of the NB-ARC domain. Two mutations resulted in autoactivating proteins that induce a pathogen-independent hypersensitive response upon expression in planta. These mutant forms of I-2 were found to be impaired in ATP hydrolysis, but not in ATP binding, suggesting that the ATP- rather than the ADP-bound state of I-2 is the active form that triggers defense signaling. In addition, upon ADP binding, the protein displayed an increased affinity for ADP suggestive of a change of conformation. Based on these data, we propose that the NB-ARC domain of I-2, and likely of related R proteins, functions as a molecular switch whose state (on/off) depends on the nucleotide bound (ATP/ADP). %J Plant Physiology %V 140 %& 1233 %P 1233 - 1245
799. Thielen A: Prediction of linear B-cell epitopes and MHC class II binding peptides. Eberhardt-Karls-Universität Tübingen; 2006.
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@mastersthesis{Thielen2006, TITLE = {Prediction of linear B-cell epitopes and {MHC} class {II} binding peptides}, AUTHOR = {Thielen, Alexander}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-01C3C87B3FF765B1C125723500305EF0-Thielen2006}, SCHOOL = {Eberhardt-Karls-Universit{\"a}t T{\"u}bingen}, ADDRESS = {T{\"u}bingen}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Thielen, Alexander %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Prediction of linear B-cell epitopes and MHC class II binding peptides : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-23BC-0 %F EDOC: 314373 %F OTHER: Local-ID: C125673F004B2D7B-01C3C87B3FF765B1C125723500305EF0-Thielen2006 %I Eberhardt-Karls-Universit&#228;t T&#252;bingen %C T&#252;bingen %D 2006 %V master %9 master
800. Tolosi L: Analysis of Array CGH Data for the Estimation of Genetic Tumor Progression. Universität des Saarlandes; 2006.
Abstract
In cancer research, prediction of time to death or relapse is important for a meaningful tumor classification and selecting appropriate therapies. The accumulation of genetic alterations during tumor progression can be used for the assessment of the genetic status of the tumor. ArrayCGH technology is used to measure genomic amplifications and deletions, with a high resolution that allows the detection of down to single genes copy number changes. \\\\We propose an automated method for analysis of cancer mutations accumulation based on statistical analysis of arrayCGH data. The method consists of the four steps: arrayCGH smoothing, aberrations detection, consensus analysis and oncogenetic tree models estimation. For the second and third steps, we propose new algorithmic solutions. First, we use the adaptive weights smoothing-based algorithm GLAD for identifying regions of constant copy number. Then, in order to select regions of gain and loss, we fit robust normals to the smoothed Log$_2$Ratios of each CGH array and choose appropriate significance cutoffs. The consensus analysis step consists of an automated selection of recurrent aberrant regions when multiple CGH experiments on the same tumor type are available. We propose to associate $p$-values to each measured genomic position and to select the regions where the $p$-value is sufficiently small. \\\\The aberrant regions computed by our method can be further used to estimate evolutionary trees, which model the dependencies between genetic mutations and can help to predict tumor progression stages and survival times. \\\\We applied our method to two arrayCGH data sets obtained from prostate cancer and glioblastoma patients, respectively. The results confirm previous knowledge on the genetic mutations specific to these types of cancer, but also bring out new regions, often reducing to single genes, due to the high resolution of arrayCGH measurements. An oncogenetic tree mixture model fitted to the Prostate Cancer data set shows two distinct evolutionary patterns discriminating between two different cell lines. Moreover, when used as clustering features, the genetic mutations our algorithm outputs separate well arrays representing 4 different cell lines, proving that we extract meaningful information. }
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@mastersthesis{Tolosi2006, TITLE = {Analysis of Array {CGH} Data for the Estimation of Genetic Tumor Progression}, AUTHOR = {Tolosi, Laura}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-0EA512C11180051FC12572350050DF02-Tolosi2006}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {In cancer research, prediction of time to death or relapse is important for a meaningful tumor classification and selecting appropriate therapies. The accumulation of genetic alterations during tumor progression can be used for the assessment of the genetic status of the tumor. ArrayCGH technology is used to measure genomic amplifications and deletions, with a high resolution that allows the detection of down to single genes copy number changes. \\\\We propose an automated method for analysis of cancer mutations accumulation based on statistical analysis of arrayCGH data. The method consists of the four steps: arrayCGH smoothing, aberrations detection, consensus analysis and oncogenetic tree models estimation. For the second and third steps, we propose new algorithmic solutions. First, we use the adaptive weights smoothing-based algorithm GLAD for identifying regions of constant copy number. Then, in order to select regions of gain and loss, we fit robust normals to the smoothed Log$_2$Ratios of each CGH array and choose appropriate significance cutoffs. The consensus analysis step consists of an automated selection of recurrent aberrant regions when multiple CGH experiments on the same tumor type are available. We propose to associate $p$-values to each measured genomic position and to select the regions where the $p$-value is sufficiently small. \\\\The aberrant regions computed by our method can be further used to estimate evolutionary trees, which model the dependencies between genetic mutations and can help to predict tumor progression stages and survival times. \\\\We applied our method to two arrayCGH data sets obtained from prostate cancer and glioblastoma patients, respectively. The results confirm previous knowledge on the genetic mutations specific to these types of cancer, but also bring out new regions, often reducing to single genes, due to the high resolution of arrayCGH measurements. An oncogenetic tree mixture model fitted to the Prostate Cancer data set shows two distinct evolutionary patterns discriminating between two different cell lines. Moreover, when used as clustering features, the genetic mutations our algorithm outputs separate well arrays representing 4 different cell lines, proving that we extract meaningful information. }}, }
Endnote
%0 Thesis %A Tolosi, Laura %Y Rahnenf&#252;her, J&#246;rg %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis of Array CGH Data for the Estimation of Genetic Tumor Progression : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21A7-1 %F EDOC: 314521 %F OTHER: Local-ID: C125673F004B2D7B-0EA512C11180051FC12572350050DF02-Tolosi2006 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master %X In cancer research, prediction of time to death or relapse is important for a meaningful tumor classification and selecting appropriate therapies. The accumulation of genetic alterations during tumor progression can be used for the assessment of the genetic status of the tumor. ArrayCGH technology is used to measure genomic amplifications and deletions, with a high resolution that allows the detection of down to single genes copy number changes. \\\\We propose an automated method for analysis of cancer mutations accumulation based on statistical analysis of arrayCGH data. The method consists of the four steps: arrayCGH smoothing, aberrations detection, consensus analysis and oncogenetic tree models estimation. For the second and third steps, we propose new algorithmic solutions. First, we use the adaptive weights smoothing-based algorithm GLAD for identifying regions of constant copy number. Then, in order to select regions of gain and loss, we fit robust normals to the smoothed Log$_2$Ratios of each CGH array and choose appropriate significance cutoffs. The consensus analysis step consists of an automated selection of recurrent aberrant regions when multiple CGH experiments on the same tumor type are available. We propose to associate $p$-values to each measured genomic position and to select the regions where the $p$-value is sufficiently small. \\\\The aberrant regions computed by our method can be further used to estimate evolutionary trees, which model the dependencies between genetic mutations and can help to predict tumor progression stages and survival times. \\\\We applied our method to two arrayCGH data sets obtained from prostate cancer and glioblastoma patients, respectively. The results confirm previous knowledge on the genetic mutations specific to these types of cancer, but also bring out new regions, often reducing to single genes, due to the high resolution of arrayCGH measurements. An oncogenetic tree mixture model fitted to the Prostate Cancer data set shows two distinct evolutionary patterns discriminating between two different cell lines. Moreover, when used as clustering features, the genetic mutations our algorithm outputs separate well arrays representing 4 different cell lines, proving that we extract meaningful information. }
801. Torda AE, Lengauer T: Editorial: Selection of papers of the German Conference of Bioinformatics (GCB) 2005. Bioinformatics 2006, 22.
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@article{Lengauer2007, TITLE = {Editorial: Selection of papers of the German Conference of Bioinformatics (GCB) 2005}, AUTHOR = {Torda, Andrew E. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btl078}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Bioinformatics}, VOLUME = {22}, NUMBER = {10}, PAGES = {1}, }
Endnote
%0 Journal Article %A Torda, Andrew E. %A Lengauer, Thomas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Editorial: Selection of papers of the German Conference of Bioinformatics (GCB) 2005 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FABF-7 %R 10.1093/bioinformatics/btl078 %D 2006 %J Bioinformatics %V 22 %N 10 %& 1 %P 1 %I Oxford University Press %C Oxford %@ false
802. Velagapudi VR, Wittmann C, Lengauer T, Talwar P, Heinzle E: Metabolic high- content screening of Saccharomyces cerevisiae reveals superior performance of single gene deletion strains. Process Biochemistry 2006, 41.
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@article{Lengauer2006e, TITLE = {Metabolic high- content screening of Saccharomyces cerevisiae reveals superior performance of single gene deletion strains}, AUTHOR = {Velagapudi, V.R. and Wittmann, C. and Lengauer, Thomas and Talwar, Priti and Heinzle, E.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-458FA384DA613DFFC125725F003141D4-Lengauer2006e}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Process Biochemistry}, VOLUME = {41}, PAGES = {2170--2179}, }
Endnote
%0 Journal Article %A Velagapudi, V.R. %A Wittmann, C. %A Lengauer, Thomas %A Talwar, Priti %A Heinzle, E. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Metabolic high- content screening of Saccharomyces cerevisiae reveals superior performance of single gene deletion strains : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-236A-8 %F EDOC: 314470 %F OTHER: Local-ID: C125673F004B2D7B-458FA384DA613DFFC125725F003141D4-Lengauer2006e %D 2006 %* Review method: peer-reviewed %J Process Biochemistry %V 41 %& 2170 %P 2170 - 2179
803. Verheyen J, Litau E, Sing T, Däumer M, Balduin M, Oette M, Fätkenheuer G, Rockstroh JK, Schuldenzucker U, Hoffmann D, Pfister H, Kaiser R: Compensatory mutations at the HIV cleavage sites p7/p1 and p1/p6-gag in therapy-naive and therapy-experienced patients. Antiviral Therapy 2006, 11.
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@article{Verheyen2006, TITLE = {Compensatory mutations at the {HIV} cleavage sites p7/p1 and p1/p6-gag in therapy-naive and therapy-experienced patients}, AUTHOR = {Verheyen, Jens and Litau, Elena and Sing, Tobias and D{\"a}umer, Martin and Balduin, Melanie and Oette, Mark and F{\"a}tkenheuer, Gerd and Rockstroh, J{\"u}rgen K. and Schuldenzucker, Ulrike and Hoffmann, Daniel and Pfister, Herbert and Kaiser, Rolf}, LANGUAGE = {eng}, ISSN = {1359-6535}, LOCALID = {Local-ID: C12573CC004A8E26-A60C60D13305BA05C12573F500540CD9-Verheyen2006}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Antiviral Therapy}, VOLUME = {11}, NUMBER = {7}, PAGES = {879--887}, }
Endnote
%0 Journal Article %A Verheyen, Jens %A Litau, Elena %A Sing, Tobias %A D&#228;umer, Martin %A Balduin, Melanie %A Oette, Mark %A F&#228;tkenheuer, Gerd %A Rockstroh, J&#252;rgen K. %A Schuldenzucker, Ulrike %A Hoffmann, Daniel %A Pfister, Herbert %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Compensatory mutations at the HIV cleavage sites p7/p1 and p1/p6-gag in therapy-naive and therapy-experienced patients : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2485-2 %F EDOC: 356563 %F OTHER: Local-ID: C12573CC004A8E26-A60C60D13305BA05C12573F500540CD9-Verheyen2006 %D 2006 %* Review method: peer-reviewed %J Antiviral Therapy %V 11 %N 7 %& 879 %P 879 - 887 %@ false
804. Voets M, Antes I, Scherer C, Biemel K, Barassin C, Marchais-Oberwinkler S, Hartmann RW: Synthesis and evaluation of heteroaryl substituted dihydronaphthalenes and indenes: potent and selective inhibitors of aldosterone synthase (CYP11B2) for the treatment of congestive heart failure and myocardial fibrosis. Journal of Medicinal Chemistry 2006, 49.
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@article{Antes2006a, TITLE = {Synthesis and evaluation of heteroaryl substituted dihydronaphthalenes and indenes: potent and selective inhibitors of aldosterone synthase ({CYP11B2}) for the treatment of congestive heart failure and myocardial fibrosis}, AUTHOR = {Voets, Marieke and Antes, Iris and Scherer, C. and Biemel, K. and Barassin, C. and Marchais-Oberwinkler, S. and Hartmann, R. W.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-9B7785D875F7E532C12570DF00470070-Antes2006a}, YEAR = {2006}, DATE = {2006}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {49}, PAGES = {2222--2231}, }
Endnote
%0 Journal Article %A Voets, Marieke %A Antes, Iris %A Scherer, C. %A Biemel, K. %A Barassin, C. %A Marchais-Oberwinkler, S. %A Hartmann, R. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Synthesis and evaluation of heteroaryl substituted dihydronaphthalenes and indenes: potent and selective inhibitors of aldosterone synthase (CYP11B2) for the treatment of congestive heart failure and myocardial fibrosis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-240F-C %F EDOC: 314587 %F OTHER: Local-ID: C125673F004B2D7B-9B7785D875F7E532C12570DF00470070-Antes2006a %D 2006 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 49 %& 2222 %P 2222 - 2231
805. Weinhold N: Inference of Protein Function based on Functionally Conserved Regions in Sequence and Structure Space. Universität des Saarlandes; 2006.
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@mastersthesis{Weinhold2006, TITLE = {Inference of Protein Function based on Functionally Conserved Regions in Sequence and Structure Space}, AUTHOR = {Weinhold, Nils}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-68EDF9861A7F90A8C125728400337076-Weinhold2006}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, }
Endnote
%0 Thesis %A Weinhold, Nils %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Inference of Protein Function based on Functionally Conserved Regions in Sequence and Structure Space : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2336-9 %F EDOC: 314554 %F OTHER: Local-ID: C125673F004B2D7B-68EDF9861A7F90A8C125728400337076-Weinhold2006 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V master %9 master
806. Yin J, Beerenwinkel N, Rahnenführer J, Lengauer T: Model Selection for Mixtures of Mutagenetic Trees. Statistical Applications in Genetics and Molecular Biology 2006, 5.
Abstract
The evolution of drug resistance in HIV is characterized by the accumulation of resistance-associated mutations in the HIV genome. Mutagenetic trees, a family of restricted Bayesian tree models, have been applied to infer the order and rate of occurrence of these mutations. Understanding and predicting this evolutionary process is an important prerequisite for the rational design of antiretroviral therapies. In practice, mixtures models of K mutagenetic trees provide more flexibility and are often more appropriate for modelling observed mutational patterns. Here, we investigate the model selection problem for K-mutagenetic trees mixture models. We evaluate several classical model selection criteria including cross-validation, the Bayesian Information Criterion (BIC), and the Akaike Information Criterion. We also use the empirical Bayes method by constructing a prior probability distribution for the parameters of a mutagenetic trees mixture model and deriving the posterior probability of the model. In addition to the model dimension, we consider the redundancy of a mixture model, which is measured by comparing the topologies of trees within a mixture model. Based on the redundancy, we propose a new model selection criterion, which is a modification of the BIC. Experimental results on simulated and on real HIV data show that the classical criteria tend to select models with far too many tree components. Only cross-validation and the modified BIC recover the correct number of trees and the tree topologies most of the time. At the same optimal performance, the runtime of the new BIC modification is about one order of magnitude lower. Thus, this model selection criterion can also be used for large data sets for which cross-validation becomes computationally infeasible.
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@article{Yin05, TITLE = {Model Selection for Mixtures of Mutagenetic Trees}, AUTHOR = {Yin, Junming and Beerenwinkel, Niko and Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1544-6115}, LOCALID = {Local-ID: C125673F004B2D7B-7E0C9F42BD91FB39C12570500035F600-Yin05}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {The evolution of drug resistance in HIV is characterized by the accumulation of resistance-associated mutations in the HIV genome. Mutagenetic trees, a family of restricted Bayesian tree models, have been applied to infer the order and rate of occurrence of these mutations. Understanding and predicting this evolutionary process is an important prerequisite for the rational design of antiretroviral therapies. In practice, mixtures models of K mutagenetic trees provide more flexibility and are often more appropriate for modelling observed mutational patterns. Here, we investigate the model selection problem for K-mutagenetic trees mixture models. We evaluate several classical model selection criteria including cross-validation, the Bayesian Information Criterion (BIC), and the Akaike Information Criterion. We also use the empirical Bayes method by constructing a prior probability distribution for the parameters of a mutagenetic trees mixture model and deriving the posterior probability of the model. In addition to the model dimension, we consider the redundancy of a mixture model, which is measured by comparing the topologies of trees within a mixture model. Based on the redundancy, we propose a new model selection criterion, which is a modification of the BIC. Experimental results on simulated and on real HIV data show that the classical criteria tend to select models with far too many tree components. Only cross-validation and the modified BIC recover the correct number of trees and the tree topologies most of the time. At the same optimal performance, the runtime of the new BIC modification is about one order of magnitude lower. Thus, this model selection criterion can also be used for large data sets for which cross-validation becomes computationally infeasible.}, JOURNAL = {Statistical Applications in Genetics and Molecular Biology}, VOLUME = {5}, EID = {17}, }
Endnote
%0 Journal Article %A Yin, Junming %A Beerenwinkel, Niko %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %+ International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Model Selection for Mixtures of Mutagenetic Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2378-8 %F EDOC: 314620 %F OTHER: Local-ID: C125673F004B2D7B-7E0C9F42BD91FB39C12570500035F600-Yin05 %D 2006 %* Review method: peer-reviewed %X The evolution of drug resistance in HIV is characterized by the accumulation of resistance-associated mutations in the HIV genome. Mutagenetic trees, a family of restricted Bayesian tree models, have been applied to infer the order and rate of occurrence of these mutations. Understanding and predicting this evolutionary process is an important prerequisite for the rational design of antiretroviral therapies. In practice, mixtures models of K mutagenetic trees provide more flexibility and are often more appropriate for modelling observed mutational patterns. Here, we investigate the model selection problem for K-mutagenetic trees mixture models. We evaluate several classical model selection criteria including cross-validation, the Bayesian Information Criterion (BIC), and the Akaike Information Criterion. We also use the empirical Bayes method by constructing a prior probability distribution for the parameters of a mutagenetic trees mixture model and deriving the posterior probability of the model. In addition to the model dimension, we consider the redundancy of a mixture model, which is measured by comparing the topologies of trees within a mixture model. Based on the redundancy, we propose a new model selection criterion, which is a modification of the BIC. Experimental results on simulated and on real HIV data show that the classical criteria tend to select models with far too many tree components. Only cross-validation and the modified BIC recover the correct number of trees and the tree topologies most of the time. At the same optimal performance, the runtime of the new BIC modification is about one order of magnitude lower. Thus, this model selection criterion can also be used for large data sets for which cross-validation becomes computationally infeasible. %J Statistical Applications in Genetics and Molecular Biology %V 5 %Z sequence number: 17 %@ false
807. Zhu H, Domingues FS, Sommer I, Lengauer T: NOXclass: Prediction of Protein-protein Interaction Types. BMC Bioinformatics 2006, 7.
Abstract
Background<br>Structural models determined by X-ray crystallography play a central role in <br>understanding protein-protein interactions at the molecular level. <br>Interpretation of these models requires the distinction between non-specific <br>crystal packing contacts and biologically relevant interactions. This has been <br>investigated previously and classification approaches have been proposed. <br>However, less attention has been devoted to distinguishing different types of <br>biological interactions. These interactions are classified as obligate and <br>non-obligate according to the effect of the complex formation on the stability <br>of the protomers. So far no automatic classification methods for distinguishing <br>obligate, non-obligate and crystal packing interactions have been made <br>available.<br>Results<br>Six interface properties have been investigated on a dataset of 243 protein <br>interactions. The six properties have been combined using a support vector <br>machine algorithm, resulting in NOXclass, a classifier for distinguishing <br>obligate, non-obligate and crystal packing interactions. We achieve an accuracy <br>of 91.8% for the classification of these three types of interactions using a <br>leave-one-out cross-validation procedure.<br>Conclusion<br>NOXclass allows the interpretation and analysis of protein quaternary <br>structures. In particular, it generates testable hypotheses regarding the <br>nature of protein-protein interactions, when experimental results are not <br>available. We expect this server will benefit the users of protein structural <br>models, as well as protein crystallographers and NMR spectroscopists. A web <br>server based on the method and the datasets used in this study are available at <br>http://noxclass.bioinf.mpi-inf.mpg.de/.
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@article{Zhu2006, TITLE = {{NOXclass}: Prediction of Protein-protein Interaction Types}, AUTHOR = {Zhu, Hongbo and Domingues, Francisco S. and Sommer, Ingolf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/1471-2105-7-27}, LOCALID = {Local-ID: C125673F004B2D7B-644C7612915CF470C125728A0045E05C-Zhu2006}, PUBLISHER = {BioMed Central}, YEAR = {2006}, DATE = {2006}, ABSTRACT = {Background<br>Structural models determined by X-ray crystallography play a central role in <br>understanding protein-protein interactions at the molecular level. <br>Interpretation of these models requires the distinction between non-specific <br>crystal packing contacts and biologically relevant interactions. This has been <br>investigated previously and classification approaches have been proposed. <br>However, less attention has been devoted to distinguishing different types of <br>biological interactions. These interactions are classified as obligate and <br>non-obligate according to the effect of the complex formation on the stability <br>of the protomers. So far no automatic classification methods for distinguishing <br>obligate, non-obligate and crystal packing interactions have been made <br>available.<br>Results<br>Six interface properties have been investigated on a dataset of 243 protein <br>interactions. The six properties have been combined using a support vector <br>machine algorithm, resulting in NOXclass, a classifier for distinguishing <br>obligate, non-obligate and crystal packing interactions. We achieve an accuracy <br>of 91.8% for the classification of these three types of interactions using a <br>leave-one-out cross-validation procedure.<br>Conclusion<br>NOXclass allows the interpretation and analysis of protein quaternary <br>structures. In particular, it generates testable hypotheses regarding the <br>nature of protein-protein interactions, when experimental results are not <br>available. We expect this server will benefit the users of protein structural <br>models, as well as protein crystallographers and NMR spectroscopists. A web <br>server based on the method and the datasets used in this study are available at <br>http://noxclass.bioinf.mpi-inf.mpg.de/.}, JOURNAL = {BMC Bioinformatics}, VOLUME = {7}, PAGES = {1--15}, EID = {27}, }
Endnote
%0 Journal Article %A Zhu, Hongbo %A Domingues, Francisco S. %A Sommer, Ingolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T NOXclass: Prediction of Protein-protein Interaction Types : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-238F-5 %F EDOC: 314513 %F OTHER: Local-ID: C125673F004B2D7B-644C7612915CF470C125728A0045E05C-Zhu2006 %R 10.1186/1471-2105-7-27 %D 2006 %X Background<br>Structural models determined by X-ray crystallography play a central role in <br>understanding protein-protein interactions at the molecular level. <br>Interpretation of these models requires the distinction between non-specific <br>crystal packing contacts and biologically relevant interactions. This has been <br>investigated previously and classification approaches have been proposed. <br>However, less attention has been devoted to distinguishing different types of <br>biological interactions. These interactions are classified as obligate and <br>non-obligate according to the effect of the complex formation on the stability <br>of the protomers. So far no automatic classification methods for distinguishing <br>obligate, non-obligate and crystal packing interactions have been made <br>available.<br>Results<br>Six interface properties have been investigated on a dataset of 243 protein <br>interactions. The six properties have been combined using a support vector <br>machine algorithm, resulting in NOXclass, a classifier for distinguishing <br>obligate, non-obligate and crystal packing interactions. We achieve an accuracy <br>of 91.8% for the classification of these three types of interactions using a <br>leave-one-out cross-validation procedure.<br>Conclusion<br>NOXclass allows the interpretation and analysis of protein quaternary <br>structures. In particular, it generates testable hypotheses regarding the <br>nature of protein-protein interactions, when experimental results are not <br>available. We expect this server will benefit the users of protein structural <br>models, as well as protein crystallographers and NMR spectroscopists. A web <br>server based on the method and the datasets used in this study are available at <br>http://noxclass.bioinf.mpi-inf.mpg.de/. %J BMC Bioinformatics %V 7 %& 1 %P 1 - 15 %Z sequence number: 27 %I BioMed Central %@ false %U https://rdcu.be/dOyyk
808. Zimmer T: Functional Site Scaffolds. Universität des Saarlandes; 2006.
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@mastersthesis{Zimmer2006a, TITLE = {Functional Site Scaffolds}, AUTHOR = {Zimmer, Tobias}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2006}, DATE = {2006}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Zimmer, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Functional Site Scaffolds : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FC4F-6 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2006 %V bachelor %9 bachelor
2005
809. Albrecht M, Guo X, Huthmacher C, Sommer I, Lengauer T: Decomposing Protein Networks into Domain-domain Interactions to Improve Fold Recognition. 4th European Conference on Computational Biology Posters (ECCB 2005) 2005.
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@inproceedings{AlbrechtECCB2005, TITLE = {Decomposing Protein Networks into Domain-domain Interactions to Improve Fold Recognition}, AUTHOR = {Albrecht, Mario and Guo, Xin and Huthmacher, Carola and Sommer, Ingolf and Lengauer, Thomas}, LANGUAGE = {eng}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {4th European Conference on Computational Biology Posters (ECCB 2005)}, EID = {PB-29}, ADDRESS = {Madrid, Spain}, }
Endnote
%0 Generic %A Albrecht, Mario %A Guo, Xin %A Huthmacher, Carola %A Sommer, Ingolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Decomposing Protein Networks into Domain-domain Interactions to Improve Fold Recognition : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-A645-2 %D 2005 %Z name of event: 4th European Conference on Computational Biology %Z date of event: 2005-09-29 - 2005-09-30 %Z place of event: Madrid, Spain %B 4th European Conference on Computational Biology Posters %Z sequence number: PB-29
810. Albrecht M, Choubey D, Lengauer T: The HIN domain of IFI-200 proteins consists of two OB folds. Biochemical and Biophysical Research Communications 2005, 327.
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@article{Albrecht2005a, TITLE = {The {HIN} domain of {IFI}-200 proteins consists of two {OB} folds}, AUTHOR = {Albrecht, Mario and Choubey, Divaker and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {0006291x}, LOCALID = {Local-ID: C125673F004B2D7B-95E4179095D17476C1256F8E006BF032-Albrecht2005a}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Biochemical and Biophysical Research Communications}, VOLUME = {327}, PAGES = {679--687}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Choubey, Divaker %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The HIN domain of IFI-200 proteins consists of two OB folds : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-27F3-1 %F EDOC: 279070 %F OTHER: Local-ID: C125673F004B2D7B-95E4179095D17476C1256F8E006BF032-Albrecht2005a %D 2005 %* Review method: peer-reviewed %J Biochemical and Biophysical Research Communications %V 327 %& 679 %P 679 - 687 %@ 0006291x
811. Albrecht M, Huthmacher C, Tosatto SCE, Lengauer T: Decomposing Protein Networks into Domain-domain Interactions. Bioinformatics (Proc ECCB / JBI 2005) 2005, 21.
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@article{Albrecht2005j, TITLE = {Decomposing Protein Networks into Domain-domain Interactions}, AUTHOR = {Albrecht, Mario and Huthmacher, Carola and Tosatto, Silvio C.E. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bti1135}, LOCALID = {Local-ID: C125673F004B2D7B-6FEFB19344DA33D5C1257011003C3BC1-Albrecht2005j}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Bioinformatics (Proc. ECCB / JBI)}, VOLUME = {21}, NUMBER = {2}, PAGES = {ii220--ii221}, BOOKTITLE = {Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (ECCB / JBI 2005)}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Huthmacher, Carola %A Tosatto, Silvio C.E. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Decomposing Protein Networks into Domain-domain Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2631-E %F EDOC: 279069 %F OTHER: Local-ID: C125673F004B2D7B-6FEFB19344DA33D5C1257011003C3BC1-Albrecht2005j %R 10.1093/bioinformatics/bti1135 %D 2005 %* Review method: peer-reviewed %J Bioinformatics %V 21 %N 2 %& ii220 %P ii220 - ii221 %I Oxford University Press %C Oxford %@ false %B Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network %O ECCB / JBI 2005 Madrid, Spain, September 28 - October 1, 2005
812. Albrecht M: LRRK2 mutations and parkinsonism. The Lancet 2005, 365.
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@article{Albrecht2005d, TITLE = {{LRRK2} mutations and parkinsonism}, AUTHOR = {Albrecht, Mario}, LANGUAGE = {eng}, ISBN = {01406736}, LOCALID = {Local-ID: C125673F004B2D7B-3D945435331E66CEC1256FB6005D0468-Albrecht2005d}, YEAR = {2005}, DATE = {2005}, JOURNAL = {The Lancet}, VOLUME = {365}, PAGES = {1230--1230}, }
Endnote
%0 Journal Article %A Albrecht, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T LRRK2 mutations and parkinsonism : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2701-1 %F EDOC: 279071 %F OTHER: Local-ID: C125673F004B2D7B-3D945435331E66CEC1256FB6005D0468-Albrecht2005d %D 2005 %* Review method: peer-reviewed %J The Lancet %V 365 %& 1230 %P 1230 - 1230 %@ 01406736
813. Alexa A: Integrating the GO Graph Structure in Scoring the Significance of Gene Ontology Terms. Universität des Saarlandes; 2005.
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@mastersthesis{Alexa2005a, TITLE = {Integrating the {GO} Graph Structure in Scoring the Significance of Gene Ontology Terms}, AUTHOR = {Alexa, Adrian}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, }
Endnote
%0 Thesis %A Alexa, Adrian %Y Rahnenf&#252;her, J&#246;rg %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Integrating the GO Graph Structure in Scoring the Significance of Gene Ontology Terms : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0922-1 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V master %9 master
814. Antes I, Merkwirth C, Lengauer T: POEM: Parameter Optimization using Ensemble Methods: Application to target specific scoring functions. Journal of Chemical Information and Modeling 2005, 45.
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@article{Antes200d, TITLE = {{POEM}: Parameter Optimization using Ensemble Methods: Application to target specific scoring functions}, AUTHOR = {Antes, Iris and Merkwirth, Christian and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci050036g}, LOCALID = {Local-ID: C125673F004B2D7B-3D90C9D05A1C54FFC12570DF00469A3C-Antes200d}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {45}, NUMBER = {5}, PAGES = {1291--1302}, }
Endnote
%0 Journal Article %A Antes, Iris %A Merkwirth, Christian %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T POEM: Parameter Optimization using Ensemble Methods: Application to target specific scoring functions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-275D-4 %F EDOC: 279068 %F OTHER: Local-ID: C125673F004B2D7B-3D90C9D05A1C54FFC12570DF00469A3C-Antes200d %R 10.1021/ci050036g %D 2005 %* Review method: peer-reviewed %J Journal of Chemical Information and Modeling %O J. Chem. Inf. Model. %V 45 %N 5 %& 1291 %P 1291 - 1302 %I American Chemical Society %C Washington, D.C. %@ false
815. Beerenwinkel N, Rahnenführer J, Kaiser R, Hoffmann D, Selbig J, Lengauer T: Mtreemix: A Software Package for Learning and Using Mixture Models of Mutagenetic Trees. Bioinformatics 2005, 21.
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@article{Beerenwinkel2005b, TITLE = {Mtreemix: A Software Package for Learning and Using Mixture Models of Mutagenetic Trees}, AUTHOR = {Beerenwinkel, Niko and Rahnenf{\"u}hrer, J{\"o}rg and Kaiser, Rolf and Hoffmann, Daniel and Selbig, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bti274}, LOCALID = {Local-ID: C125673F004B2D7B-4C564AAE738324A8C1256F8D006254C9-Beerenwinkel2005b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Bioinformatics}, VOLUME = {21}, NUMBER = {9}, PAGES = {2106--2107}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A Rahnenf&#252;hrer, J&#246;rg %A Kaiser, Rolf %A Hoffmann, Daniel %A Selbig, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Mtreemix: A Software Package for Learning and Using Mixture Models of Mutagenetic Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-271A-B %F EDOC: 279065 %F OTHER: Local-ID: C125673F004B2D7B-4C564AAE738324A8C1256F8D006254C9-Beerenwinkel2005b %R 10.1093/bioinformatics/bti274 %D 2005 %* Review method: peer-reviewed %J Bioinformatics %V 21 %N 9 %& 2106 %P 2106 - 2107 %I Oxford University Press %C Oxford %@ false
816. Beerenwinkel N, Rahnenführer J, Däumer M, Hoffmann D, Kaiser R, Selbig J, Lengauer T: Learning Multiple Evolutionary Pathways from Cross-sectional Data. Journal of Computational Biology 2005, 12.
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@article{Beerenwinkel2005a, TITLE = {Learning Multiple Evolutionary Pathways from Cross-sectional Data}, AUTHOR = {Beerenwinkel, Niko and Rahnenf{\"u}hrer, J{\"o}rg and D{\"a}umer, Martin and Hoffmann, Daniel and Kaiser, Rolf and Selbig, J. and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1066-5277}, DOI = {10.1089/cmb.2005.12.584}, LOCALID = {Local-ID: C125673F004B2D7B-02BEC84E01D10E34C1256F8D006219FA-Beerenwinkel2005a}, PUBLISHER = {Mary Ann Liebert}, ADDRESS = {New York, NY}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Computational Biology}, VOLUME = {12}, NUMBER = {6}, PAGES = {584--598}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A Rahnenf&#252;hrer, J&#246;rg %A D&#228;umer, Martin %A Hoffmann, Daniel %A Kaiser, Rolf %A Selbig, J. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Learning Multiple Evolutionary Pathways from Cross-sectional Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-26ED-8 %F EDOC: 279066 %F OTHER: Local-ID: C125673F004B2D7B-02BEC84E01D10E34C1256F8D006219FA-Beerenwinkel2005a %R 10.1089/cmb.2005.12.584 %D 2005 %* Review method: peer-reviewed %J Journal of Computational Biology %V 12 %N 6 %& 584 %P 584 - 598 %I Mary Ann Liebert %C New York, NY %@ false
817. Beerenwinkel N, Sing T, Lengauer T, Rahnenführer J, Roomp K, Savenkov I, Fischer R, Hoffmann D, Selbig J, Korn K, Walter H, Berg T, Braun P, Fätkenheuer G, Oette M, Rockstroh J, Kupfer B, Kaiser R, Däumer M: Computational Methods for the Design of Effective Therapies against Drug Resistant HIV Strains. Bioinformatics 2005, 21.
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@article{Beerenwinkel2005d, TITLE = {Computational Methods for the Design of Effective Therapies against Drug Resistant {HIV} Strains}, AUTHOR = {Beerenwinkel, Niko and Sing, Tobias and Lengauer, Thomas and Rahnenf{\"u}hrer, J{\"o}rg and Roomp, Kirsten and Savenkov, Igor and Fischer, Roman and Hoffmann, Daniel and Selbig, Joachim and Korn, Klaus and Walter, Hauke and Berg, Thomas and Braun, Patrick and F{\"a}tkenheuer, Gerd and Oette, Mark and Rockstroh, J{\"u}rgen and Kupfer, Bernd and Kaiser, Rolf and D{\"a}umer, Martin}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bti654}, LOCALID = {Local-ID: C125673F004B2D7B-BDC02BF6CC9D1AA3C12570A70047721A-Beerenwinkel2005d}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Bioinformatics}, VOLUME = {21}, NUMBER = {21}, PAGES = {3943--3950}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A Sing, Tobias %A Lengauer, Thomas %A Rahnenf&#252;hrer, J&#246;rg %A Roomp, Kirsten %A Savenkov, Igor %A Fischer, Roman %A Hoffmann, Daniel %A Selbig, Joachim %A Korn, Klaus %A Walter, Hauke %A Berg, Thomas %A Braun, Patrick %A F&#228;tkenheuer, Gerd %A Oette, Mark %A Rockstroh, J&#252;rgen %A Kupfer, Bernd %A Kaiser, Rolf %A D&#228;umer, Martin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Computational Methods for the Design of Effective Therapies against Drug Resistant HIV Strains : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-261A-4 %F EDOC: 279064 %F OTHER: Local-ID: C125673F004B2D7B-BDC02BF6CC9D1AA3C12570A70047721A-Beerenwinkel2005d %R 10.1093/bioinformatics/bti654 %D 2005 %* Review method: peer-reviewed %J Bioinformatics %V 21 %N 21 %& 3943 %P 3943 - 3950 %I Oxford University Press %C Oxford %@ false %U https://watermark.silverchair.com/bioinformatics_21_21_3943.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAA54wggOaBgkqhkiG9w0BBwagggOLMIIDhwIBADCCA4AGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQM0h2OqvEd_SgM6C4PAgEQgIIDUWlJqNWIrMNbVYRL_lrem8aHfO1k-fyaWQkv0m_DW3zrFSpYRbmuk1Q1qQ3n577Vul2VIxKA5plMAK87HpvrnMjBxoCyh4FyezLGBbpsGdwV1vT3L_exUIPPK6595Od5SFcwyUzPWB44BP4vAxijonFYFzAbWZGCUcJ_XYKx9s0FS3vjKlApjBzBZUanG3E0EhB_Cg03QDkUZ0pP9kCVPb_02Rri65KK-YTqHMuyG3f7pRZOBKKCmo4mVaq8lndOYjFMQQwUnNURYv448fxfvTJ3TsS9AtFw0IPXKPp81BZKapJx44s1VhBaB4LBjkCD3E4emhwo8wENg1CCRXtyKidicrpmfKJA36lFIgFMQ44-oZgwcLJZ6ADrjQU9yZfBc6UnojhUySDco_2r_C3Ypb70dtlQ8dPp54UERxbhBaVg5Se9HoiLcjyepmmD4L1zqFrcrmbYpLOL16gNg4ZsFiR5YBQkUj-MnQlFhSG6GQ2pqRAEPAbfrXJ6Am13QfYfo5_0r-YueT1PtgbQwz8ICx0-VK-m_lTqgvk-ilg2ME_YAR02-Yp7nloYKLRI37deJ4CwYzYnFciyW3Sbatzhvw6YR-OLOT5BqpdyO7zR92uOapfgZjLMDNnTHQalsDxOvBZX7ZpMa7T3iQvCzOs3WXW2Srow3Z-FM3XQBYX6lpNWnUgX9ljLGjoEAOLxUz2JbsMFV0EhvsF3FBc00Ou1ujWC_duj5axYljwBN17KstTQv4Yltbfhok8NiX0OPj2i6rrKHQfDLAG-KQaK0O10ZESSEjbKKayVxL3dhvBBmjhp4YCSHzaxg4e1KFa99QJdDxhkAgnsXOChjC8xUGBuO0xKCuEHsDqAZufOv6WTi7U93Ere5Lh7WZpxDWmlIi08pMf5tkW0WfwHY__dg7c4hUtw5_rkx8_l2l_eJr5R81_pa2B06HSN-y5nB8LE50DfWp_jigKV4t5v1u9VNCmjHSUVljfIF_HTVTdz-fFK_af3aH8YPDsL8Vwk_Zrv0Y8cjAVdsG4Lk1Cy59vnSwmMTkrG-gRrAYlwb8R64yqUYdhxPX51e8YsdZm5NNNADfRzlQ2lNoNmmtaXEnltyx5UR09ojVLVITJzaFQTaUWji5E3Zw
818. Beerenwinkel N, Däumer M, Sing T, Rahnenführer J, Lengauer T, Selbig J, Hoffmann D, Kaiser R: Estimating HIV evolutionary pathways and the genetic barrier to drug resistance. The Journal of Infectious Diseases 2005, 191.
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@article{Beerenwinkel2005c, TITLE = {Estimating {HIV} evolutionary pathways and the genetic barrier to drug resistance}, AUTHOR = {Beerenwinkel, Niko and D{\"a}umer, Martin and Sing, Tobias and Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas and Selbig, Joachim and Hoffmann, Daniel and Kaiser, Rolf}, LANGUAGE = {eng}, ISBN = {00221899}, LOCALID = {Local-ID: C125673F004B2D7B-DC798072DC8C0384C1256F8D0062E86C-Beerenwinkel2005c}, YEAR = {2005}, DATE = {2005}, JOURNAL = {The Journal of Infectious Diseases}, VOLUME = {191}, PAGES = {1953--1960}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A D&#228;umer, Martin %A Sing, Tobias %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %A Selbig, Joachim %A Hoffmann, Daniel %A Kaiser, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating HIV evolutionary pathways and the genetic barrier to drug resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2671-B %F EDOC: 279067 %F OTHER: Local-ID: C125673F004B2D7B-DC798072DC8C0384C1256F8D0062E86C-Beerenwinkel2005c %D 2005 %* Review method: peer-reviewed %J The Journal of Infectious Diseases %V 191 %& 1953 %P 1953 - 1960 %@ 00221899
819. Bock C, Lengauer T, Reither S, Mikeska T, Paulsen M, Walter J: BiQ Analyzer: Visualization and Quality Control for DNA Methylation Data from Bisulfite Sequencing. Bioinformatics 2005, 21.
Abstract
SUMMARY: Manual processing of DNA methylation data from bisulfite sequencing is <br>a tedious and error-prone task. Here we present an interactive software tool <br>that provides start-to-end support for this process. In an easy-to-use manner, <br>the tool helps the user to import the sequence files from the sequencer, to <br>align them, to exclude or correct critical sequences, to document the <br>experiment, to perform basic statistics and to produce publication-quality <br>diagrams.Emphasis is put on quality control: The program automatically assesses <br>data quality and provides warnings and suggestions for dealing with critical <br>sequences. The BiQ Analyzer program is implemented in the Java programming <br>language and runs on any platform for which a recent Java virtual machine is <br>available. AVAILABILITY: The program is available without charge for <br>non-commercial users and can be downloaded from <br>http://biq-analyzer.bioinf.mpi-inf.mpg.de/ CONTACT: cbock@mpi-inf.mpg.de.
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@article{Bock2004, TITLE = {{BiQ} Analyzer: Visualization and Quality Control for {DNA} Methylation Data from Bisulfite Sequencing}, AUTHOR = {Bock, Christoph and Lengauer, Thomas and Reither, Sabine and Mikeska, Thomas and Paulsen, Martina and Walter, J{\"o}rn}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bti652}, LOCALID = {Local-ID: C125673F004B2D7B-CFB03B8E8023EC7BC12570A60052B0E4-Bock2004}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2005}, DATE = {2005}, ABSTRACT = {SUMMARY: Manual processing of DNA methylation data from bisulfite sequencing is <br>a tedious and error-prone task. Here we present an interactive software tool <br>that provides start-to-end support for this process. In an easy-to-use manner, <br>the tool helps the user to import the sequence files from the sequencer, to <br>align them, to exclude or correct critical sequences, to document the <br>experiment, to perform basic statistics and to produce publication-quality <br>diagrams.Emphasis is put on quality control: The program automatically assesses <br>data quality and provides warnings and suggestions for dealing with critical <br>sequences. The BiQ Analyzer program is implemented in the Java programming <br>language and runs on any platform for which a recent Java virtual machine is <br>available. AVAILABILITY: The program is available without charge for <br>non-commercial users and can be downloaded from <br>http://biq-analyzer.bioinf.mpi-inf.mpg.de/ CONTACT: cbock@mpi-inf.mpg.de.}, JOURNAL = {Bioinformatics}, VOLUME = {21}, NUMBER = {21}, PAGES = {4067--4068}, }
Endnote
%0 Journal Article %A Bock, Christoph %A Lengauer, Thomas %A Reither, Sabine %A Mikeska, Thomas %A Paulsen, Martina %A Walter, J&#246;rn %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T BiQ Analyzer: Visualization and Quality Control for DNA Methylation Data from Bisulfite Sequencing : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-25F2-2 %F EDOC: 279063 %F OTHER: Local-ID: C125673F004B2D7B-CFB03B8E8023EC7BC12570A60052B0E4-Bock2004 %R 10.1093/bioinformatics/bti652 %D 2005 %* Review method: peer-reviewed %X SUMMARY: Manual processing of DNA methylation data from bisulfite sequencing is <br>a tedious and error-prone task. Here we present an interactive software tool <br>that provides start-to-end support for this process. In an easy-to-use manner, <br>the tool helps the user to import the sequence files from the sequencer, to <br>align them, to exclude or correct critical sequences, to document the <br>experiment, to perform basic statistics and to produce publication-quality <br>diagrams.Emphasis is put on quality control: The program automatically assesses <br>data quality and provides warnings and suggestions for dealing with critical <br>sequences. The BiQ Analyzer program is implemented in the Java programming <br>language and runs on any platform for which a recent Java virtual machine is <br>available. AVAILABILITY: The program is available without charge for <br>non-commercial users and can be downloaded from <br>http://biq-analyzer.bioinf.mpi-inf.mpg.de/ CONTACT: cbock@mpi-inf.mpg.de. %J Bioinformatics %V 21 %N 21 %& 4067 %P 4067 - 4068 %I Oxford University Press %C Oxford %@ false
820. Bojunga J, Welsch C, Antes I, Albrecht M, Lengauer T, Zeuzem S: Structural and functional analysis of a novel mutation of CYP21B in a heterozygote carrier of 21-hydroxylase deficiency. Human Genetics 2005, 117.
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@article{Antes2005d, TITLE = {Structural and functional analysis of a novel mutation of {CYP21B} in a heterozygote carrier of 21-hydroxylase deficiency}, AUTHOR = {Bojunga, J{\"o}rg and Welsch, Christoph and Antes, Iris and Albrecht, Mario and Lengauer, Thomas and Zeuzem, Stefan}, LANGUAGE = {eng}, ISBN = {03406717}, LOCALID = {Local-ID: C125673F004B2D7B-2CF8636AA3233CE6C1256FEB0060FC3A-Antes2005d}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Human Genetics}, VOLUME = {117}, PAGES = {558--564}, }
Endnote
%0 Journal Article %A Bojunga, J&#246;rg %A Welsch, Christoph %A Antes, Iris %A Albrecht, Mario %A Lengauer, Thomas %A Zeuzem, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural and functional analysis of a novel mutation of CYP21B in a heterozygote carrier of 21-hydroxylase deficiency : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-27C1-F %F EDOC: 279098 %F OTHER: Local-ID: C125673F004B2D7B-2CF8636AA3233CE6C1256FEB0060FC3A-Antes2005d %D 2005 %* Review method: peer-reviewed %J Human Genetics %V 117 %& 558 %P 558 - 564 %@ 03406717
821. Castellano S, Lobanov AV, Chapple C, Novoselov SV, Albrecht M, Hua D, Lescure A, Lengauer T, Krol A, Gladyshev VN, Guigó R: Diversity and functional plasticity of eukaryotic selenoproteins: Identification and characterization of the SelJ family. Proceedings of the National Academy of Sciences 2005, 102.
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@article{Albrecht2005l, TITLE = {Diversity and functional plasticity of eukaryotic selenoproteins: Identification and characterization of the {SelJ} family}, AUTHOR = {Castellano, Sergi and Lobanov, Alexey V. and Chapple, Charles and Novoselov, Sergey V. and Albrecht, Mario and Hua, Deame and Lescure, Alain and Lengauer, Thomas and Krol, Alain and Gladyshev, Vadim N. and Guig{\'o}, Roderic}, LANGUAGE = {eng}, ISBN = {00278424}, LOCALID = {Local-ID: C125673F004B2D7B-CACB2DBAAB29B4C8C12570AD00745D01-Albrecht2005l}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Proceedings of the National Academy of Sciences}, VOLUME = {102}, PAGES = {16188--16193}, }
Endnote
%0 Journal Article %A Castellano, Sergi %A Lobanov, Alexey V. %A Chapple, Charles %A Novoselov, Sergey V. %A Albrecht, Mario %A Hua, Deame %A Lescure, Alain %A Lengauer, Thomas %A Krol, Alain %A Gladyshev, Vadim N. %A Guig&#243;, Roderic %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Diversity and functional plasticity of eukaryotic selenoproteins: Identification and characterization of the SelJ family : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2649-9 %F EDOC: 279097 %F OTHER: Local-ID: C125673F004B2D7B-CACB2DBAAB29B4C8C12570AD00745D01-Albrecht2005l %D 2005 %* Review method: peer-reviewed %J Proceedings of the National Academy of Sciences %V 102 %& 16188 %P 16188 - 16193 %@ 00278424
822. Costello CM, Mah N, Häsler R, Rosenstiel P, Waetzig GH, Hahn A, Lu T, Gurbuz Y, Nikolaus S, Albrecht M, Hampe J, Lucius R, Klöppel G, Eickhoff H, Lehrach H, Lengauer T, Schreiber S: Dissection of the inflammatory bowel disease transcriptome using genome-wide cDNA microarrays identifies novel candidate disease genes. PLoS Medicine 2005, 2.
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@article{Albrecht2005h, TITLE = {Dissection of the inflammatory bowel disease transcriptome using genome-wide {cDNA} microarrays identifies novel candidate disease genes}, AUTHOR = {Costello, Christine M. and Mah, Nancy and H{\"a}sler, Robert and Rosenstiel, Philip and Waetzig, Georg H. and Hahn, Andreas and Lu, Tim and Gurbuz, Yesim and Nikolaus, Susanna and Albrecht, Mario and Hampe, Jochen and Lucius, Ralph and Kl{\"o}ppel, G{\"u}nther and Eickhoff, Holger and Lehrach, Hans and Lengauer, Thomas and Schreiber, Stefan}, LANGUAGE = {eng}, ISBN = {15491277}, LOCALID = {Local-ID: C125673F004B2D7B-535F6F63B8D80DD5C1257011003B9610-Albrecht2005h}, YEAR = {2005}, DATE = {2005}, JOURNAL = {PLoS Medicine}, VOLUME = {2}, PAGES = {771--787}, }
Endnote
%0 Journal Article %A Costello, Christine M. %A Mah, Nancy %A H&#228;sler, Robert %A Rosenstiel, Philip %A Waetzig, Georg H. %A Hahn, Andreas %A Lu, Tim %A Gurbuz, Yesim %A Nikolaus, Susanna %A Albrecht, Mario %A Hampe, Jochen %A Lucius, Ralph %A Kl&#246;ppel, G&#252;nther %A Eickhoff, Holger %A Lehrach, Hans %A Lengauer, Thomas %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Dissection of the inflammatory bowel disease transcriptome using genome-wide cDNA microarrays identifies novel candidate disease genes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2645-2 %F EDOC: 279096 %F OTHER: Local-ID: C125673F004B2D7B-535F6F63B8D80DD5C1257011003B9610-Albrecht2005h %D 2005 %* Review method: peer-reviewed %J PLoS Medicine %V 2 %& 771 %P 771 - 787 %@ 15491277
823. Das AV, James J, Rahnenführer J, Thoresona WB, Bhattacharyaa S, Zhao X, Ahmad I: Retinal properties and potential of the adult mammalian ciliary epithelium stem cells. Vision Research 2005, 45.
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@article{Rahnenfuehrer2005d, TITLE = {Retinal properties and potential of the adult mammalian ciliary epithelium stem cells}, AUTHOR = {Das, Ani V. and James, Jackson and Rahnenf{\"u}hrer, J{\"o}rg and Thoresona, Wallace B. and Bhattacharyaa, Sumitra and Zhao, Xing and Ahmad, Iqbal}, LANGUAGE = {eng}, ISBN = {00426989}, LOCALID = {Local-ID: C125673F004B2D7B-23FEB00FD100DAC6C1256FEA002CAB53-Rahnenfuehrer2005d}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Vision Research}, VOLUME = {45}, PAGES = {1653--1666}, }
Endnote
%0 Journal Article %A Das, Ani V. %A James, Jackson %A Rahnenf&#252;hrer, J&#246;rg %A Thoresona, Wallace B. %A Bhattacharyaa, Sumitra %A Zhao, Xing %A Ahmad, Iqbal %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Retinal properties and potential of the adult mammalian ciliary epithelium stem cells : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2790-E %F EDOC: 279095 %F OTHER: Local-ID: C125673F004B2D7B-23FEB00FD100DAC6C1256FEA002CAB53-Rahnenfuehrer2005d %D 2005 %* Review method: peer-reviewed %J Vision Research %V 45 %& 1653 %P 1653 - 1666 %@ 00426989
824. Gu W, Kofler M, Antes I, Freund C, Helms V: Alternative Binding Modes of Polyproline Peptides Binding to the GYF Domain. Biochemistry 2005, 44.
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@article{Antes2005c, TITLE = {Alternative Binding Modes of Polyproline Peptides Binding to the {GYF} Domain}, AUTHOR = {Gu, Wei and Kofler, Michael and Antes, Iris and Freund, Christian and Helms, Volkhard}, LANGUAGE = {eng}, ISBN = {ISSN 0006-2960}, LOCALID = {Local-ID: C125673F004B2D7B-03AAD2885859F866C1256FBD003FDCFE-Antes2005c}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Biochemistry}, VOLUME = {44}, PAGES = {6404--6415}, }
Endnote
%0 Journal Article %A Gu, Wei %A Kofler, Michael %A Antes, Iris %A Freund, Christian %A Helms, Volkhard %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Alternative Binding Modes of Polyproline Peptides Binding to the GYF Domain : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2595-3 %F EDOC: 279094 %F OTHER: Local-ID: C125673F004B2D7B-03AAD2885859F866C1256FBD003FDCFE-Antes2005c %D 2005 %* Review method: peer-reviewed %J Biochemistry %V 44 %& 6404 %P 6404 - 6415 %@ ISSN 0006-2960
825. Hahn A, Rahnenführer J, Talwar P, Lengauer T: Confirmation of Human Protein Interaction Data by Human Expression Data. BMC Bioinformatics 2005, 6.
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@article{Hahn2005, TITLE = {Confirmation of Human Protein Interaction Data by Human Expression Data}, AUTHOR = {Hahn, Andreas and Rahnenf{\"u}hrer, J{\"o}rg and Talwar, Priti and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1471-2105}, DOI = {10.1186/1471-2105-6-112}, LOCALID = {Local-ID: C125673F004B2D7B-EE453D27E0700C0AC1256FFC003E18E3-Hahn2005}, PUBLISHER = {BioMed Central}, YEAR = {2005}, DATE = {2005}, JOURNAL = {BMC Bioinformatics}, VOLUME = {6}, PAGES = {1--11}, EID = {112}, }
Endnote
%0 Journal Article %A Hahn, Andreas %A Rahnenf&#252;hrer, J&#246;rg %A Talwar, Priti %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Confirmation of Human Protein Interaction Data by Human Expression Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-261C-F %F EDOC: 279093 %F OTHER: Local-ID: C125673F004B2D7B-EE453D27E0700C0AC1256FFC003E18E3-Hahn2005 %R 10.1186/1471-2105-6-112 %D 2005 %* Review method: peer-reviewed %J BMC Bioinformatics %V 6 %& 1 %P 1 - 11 %Z sequence number: 112 %I BioMed Central %@ false %U https://rdcu.be/dOxxL
826. Hessler G, Zimmermann M, Matter H, Evers A, Naumann T, Lengauer T, Rarey M: Multiple-Ligand-Based Virtual Screening: Methods and Applications of the MTree Approach. Journal of Medicinal Chemistry 2005, 48.
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@article{Lengauer2005b, TITLE = {Multiple-Ligand-Based Virtual Screening: Methods and Applications of the {MTree} Approach}, AUTHOR = {Hessler, G. and Zimmermann, M. and Matter, H. and Evers, A. and Naumann, T. and Lengauer, Thomas and Rarey, M.}, LANGUAGE = {eng}, ISBN = {00222623}, LOCALID = {Local-ID: C125673F004B2D7B-B54DE070A54B282BC12570F9003F51A4-Lengauer2005b}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {48}, PAGES = {6575--6584}, }
Endnote
%0 Journal Article %A Hessler, G. %A Zimmermann, M. %A Matter, H. %A Evers, A. %A Naumann, T. %A Lengauer, Thomas %A Rarey, M. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Multiple-Ligand-Based Virtual Screening: Methods and Applications of the MTree Approach : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-271F-1 %F EDOC: 279092 %F OTHER: Local-ID: C125673F004B2D7B-B54DE070A54B282BC12570F9003F51A4-Lengauer2005b %D 2005 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 48 %& 6575 %P 6575 - 6584 %@ 00222623
827. Immesberger S: A Prefiltering Method to Speed up Protein Structure Prediction. Universität des Saarlandes; 2005.
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@mastersthesis{Immesberger2005a, TITLE = {A Prefiltering Method to Speed up Protein Structure Prediction}, AUTHOR = {Immesberger, Stefan}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Immesberger, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Prefiltering Method to Speed up Protein Structure Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0918-A %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
828. Kämper A, Kaspar M, Lengauer T: Efficient conformational analysis of synthetic receptors with macrocyclic and fused ring systems. In Synthetic Receptors 2005: Second World Congress on Synthetic Receptors. Elsevier; 2005.
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@inproceedings{Kamper2005, TITLE = {Efficient conformational analysis of synthetic receptors with macrocyclic and fused ring systems}, AUTHOR = {K{\"a}mper, Andreas and Kaspar, Melanie and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-1FA79F16B19AD9C6C12570B3005A9A10-K&#228;mper2005}, PUBLISHER = {Elsevier}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Synthetic Receptors 2005: Second World Congress on Synthetic Receptors}, }
Endnote
%0 Conference Proceedings %A K&#228;mper, Andreas %A Kaspar, Melanie %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient conformational analysis of synthetic receptors with macrocyclic and fused ring systems : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-265B-1 %F EDOC: 279062 %F OTHER: Local-ID: C125673F004B2D7B-1FA79F16B19AD9C6C12570B3005A9A10-K&#228;mper2005 %I Elsevier %D 2005 %B Untitled Event %Z date of event: 2005-09-07 - %C Salzburg, Austria %B Synthetic Receptors 2005: Second World Congress on Synthetic Receptors %I Elsevier
829. Kaspar M: Conformational Analysis of Macrocyclic Ring Systems. Universität des Saarlandes; 2005.
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@mastersthesis{Kaspar2005a, TITLE = {Conformational Analysis of Macrocyclic Ring Systems}, AUTHOR = {Kaspar, Melanie}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
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%0 Thesis %A Kaspar, Melanie %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Conformational Analysis of Macrocyclic Ring Systems : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0881-F %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
830. Krier M: Motif Search in Protein Sequences for Protein Structure Prediction. Universität des Saarlandes; 2005.
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@mastersthesis{Krier2005a, TITLE = {Motif Search in Protein Sequences for Protein Structure Prediction}, AUTHOR = {Krier, Markus}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Krier, Markus %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Motif Search in Protein Sequences for Protein Structure Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0899-E %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
831. Lengauer T: The DFG Priority Program “Informatics Methods for the Analysis and Interpretation of Large Genomic Datasets.”Information technology 2005, 47.
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@article{DBLP:journals/it/Lengauer05, TITLE = {The {DFG} Priority Program "Informatics Methods for the Analysis and Interpretation of Large Genomic Datasets"}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1611-2776}, DOI = {10.1524/ITIT.2005.47.4.226}, PUBLISHER = {Oldenbourg Wissenschaftsverlag}, ADDRESS = {M{\"u}nchen}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Information technology}, VOLUME = {47}, NUMBER = {4}, PAGES = {226--231}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The DFG Priority Program "Informatics Methods for the Analysis and Interpretation of Large Genomic Datasets" : %G eng %U http://hdl.handle.net/21.11116/0000-000F-9806-F %R 10.1524/ITIT.2005.47.4.226 %D 2005 %J Information technology %O it %V 47 %N 4 %& 226 %P 226 - 231 %I Oldenbourg Wissenschaftsverlag %C M&#252;nchen %@ false
832. Lengauer T: Informatics (Computational Biology). In Growth Factors and Oncogenes in Gastrointestinal Cancers to Informatics (Computational Biology). Edited by Meyers RA. Weinheim, Germany: Wiley-VCH; 2005. [Encyclopedia of Molecular Cell Biology and Molecular Medicine, vol. 6]
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@incollection{Lengauer2004d, TITLE = {Informatics (Computational Biology)}, AUTHOR = {Lengauer, Thomas}, EDITOR = {Meyers, Robert A.}, LANGUAGE = {eng}, ISBN = {ISBN-10: 3-527-30542-4 ISBN-13: 978-3-527-30548-3}, LOCALID = {Local-ID: C125673F004B2D7B-0B00D013CFAE0D9EC1256F87003FF5C5-Lengauer2004d}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim, Germany}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Growth Factors and Oncogenes in Gastrointestinal Cancers to Informatics (Computational Biology)}, DEBUG = {editor: Meyers, Robert A.}, PAGES = {567--626}, SERIES = {Encyclopedia of Molecular Cell Biology and Molecular Medicine}, VOLUME = {6}, }
Endnote
%0 Book Section %A Lengauer, Thomas %E Meyers, Robert A. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Informatics (Computational Biology) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-26C8-9 %F EDOC: 279060 %F OTHER: Local-ID: C125673F004B2D7B-0B00D013CFAE0D9EC1256F87003FF5C5-Lengauer2004d %I Wiley-VCH %C Weinheim, Germany %D 2005 %B Growth Factors and Oncogenes in Gastrointestinal Cancers to Informatics (Computational Biology) %E Meyers, Robert A. %P 567 - 626 %I Wiley-VCH %C Weinheim, Germany %@ ISBN-10: 3-527-30542-4 ISBN-13: 978-3-527-30548-3 %S Encyclopedia of Molecular Cell Biology and Molecular Medicine %N 6
833. Lengauer T, Merkwirth C: Automatic Generation of Complementary Descriptors with Molecular Graph Networks. Journal of Chemical Information and Modeling 2005, 45.
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@article{lengauer2005a, TITLE = {Automatic Generation of Complementary Descriptors with Molecular Graph Networks}, AUTHOR = {Lengauer, Thomas and Merkwirth, Christian}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci049613b}, LOCALID = {Local-ID: C125673F004B2D7B-AF06D0952F0CB1A2C12570F9003E98E4-lengauer2005a}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {45}, NUMBER = {5}, PAGES = {1159--1168}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Merkwirth, Christian %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automatic Generation of Complementary Descriptors with Molecular Graph Networks : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-25DB-7 %F EDOC: 279061 %F OTHER: Local-ID: C125673F004B2D7B-AF06D0952F0CB1A2C12570F9003E98E4-lengauer2005a %R 10.1021/ci049613b %D 2005 %* Review method: peer-reviewed %J Journal of Chemical Information and Modeling %O J. Chem. Inf. Model. %V 45 %N 5 %& 1159 %P 1159 - 1168 %I American Chemical Society %C Washington, D.C. %@ false
834. Meiser I: Identification of Functionally Important Regions in Cytochrome P450 Systems and a Systematic Analysis of Various CYP P450 Homology Models. Universität des Saarlandes; 2005.
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@mastersthesis{Meiser2005, TITLE = {Identification of Functionally Important Regions in Cytochrome {P450} Systems and a Systematic Analysis of Various {CYP P450} Homology Models}, AUTHOR = {Meiser, Ina}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Meiser, Ina %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of Functionally Important Regions in Cytochrome P450 Systems and a Systematic Analysis of Various CYP P450 Homology Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-077D-3 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
835. Nickels S: Generating Molecular Hashcodes for Finding Duplicates in Virtual Screening Libraries. Universität des Saarlandes; 2005.
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@mastersthesis{Nickels2005a, TITLE = {Generating Molecular Hashcodes for Finding Duplicates in Virtual Screening Libraries}, AUTHOR = {Nickels, Stefan}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Nickels, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Generating Molecular Hashcodes for Finding Duplicates in Virtual Screening Libraries : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0869-7 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
836. Rahnenführer J: Image analysis for cDNA microarrays. Methods of Information in Medicine 2005, 44.
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@article{Rahnenfuhrer2005b, TITLE = {Image analysis for {cDNA} microarrays}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, ISBN = {00261270}, LOCALID = {Local-ID: C125673F004B2D7B-A27F815CFED30802C1256F8D00628CE8-Rahnenf&#252;hrer2005b}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Methods of Information in Medicine}, VOLUME = {44}, PAGES = {405--407}, }
Endnote
%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Image analysis for cDNA microarrays : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-26BA-9 %F EDOC: 279054 %F OTHER: Local-ID: C125673F004B2D7B-A27F815CFED30802C1256F8D00628CE8-Rahnenf&#252;hrer2005b %D 2005 %* Review method: peer-reviewed %J Methods of Information in Medicine %V 44 %& 405 %P 405 - 407 %@ 00261270
837. Rahnenführer J: Clustering algorithms and other exploratory methods for microarray data analysis. Methods of Information in Medicine 2005, 44.
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@article{Rahnenfuhrer2005c, TITLE = {Clustering algorithms and other exploratory methods for microarray data analysis}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, ISBN = {00261270}, LOCALID = {Local-ID: C125673F004B2D7B-B982DE8A5DA917C1C1256F8D0062A42C-Rahnenf&#252;hrer2005c}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Methods of Information in Medicine}, VOLUME = {44}, PAGES = {444--448}, }
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%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Clustering algorithms and other exploratory methods for microarray data analysis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2608-C %F EDOC: 279059 %F OTHER: Local-ID: C125673F004B2D7B-B982DE8A5DA917C1C1256F8D0062A42C-Rahnenf&#252;hrer2005c %D 2005 %* Review method: peer-reviewed %J Methods of Information in Medicine %V 44 %& 444 %P 444 - 448 %@ 00261270
838. Rahnenführer J, Beerenwinkel N, Schulz WA, Hartmann C, von Deimling A, Wullich B, Lengauer T: Estimating Cancer Survival and Clinical Outcome based on Genetic Tumor Progression Scores. Bioinformatics 2005, 21.
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@article{Rahnenfuehrer2005a, TITLE = {Estimating Cancer Survival and Clinical Outcome based on Genetic Tumor Progression Scores}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Beerenwinkel, Niko and Schulz, Wolfgang A. and Hartmann, Christian and von Deimling, Andreas and Wullich, Bernd and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bti312}, LOCALID = {Local-ID: C125673F004B2D7B-6C73FBA76D1D18F3C1256FA4003676D6-Rahnenfuehrer2005a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Bioinformatics}, VOLUME = {21}, NUMBER = {10}, PAGES = {2438--2446}, }
Endnote
%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %A Beerenwinkel, Niko %A Schulz, Wolfgang A. %A Hartmann, Christian %A von Deimling, Andreas %A Wullich, Bernd %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating Cancer Survival and Clinical Outcome based on Genetic Tumor Progression Scores : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-266F-6 %F EDOC: 279053 %F OTHER: Local-ID: C125673F004B2D7B-6C73FBA76D1D18F3C1256FA4003676D6-Rahnenfuehrer2005a %R 10.1093/bioinformatics/bti312 %D 2005 %* Review method: peer-reviewed %J Bioinformatics %V 21 %N 10 %& 2438 %P 2438 - 2446 %I Oxford University Press %C Oxford %@ false
839. Ralser M, Nonhoff U, Albrecht M, Lengauer T, Wanker EE, Lehrach H, Krobitsch S: Ataxin-2 and huntingtin interact with endophilin-A complexes to function in plastin-associated pathways. Human Molecular Genetics 2005, 14.
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@article{Albrecht2005i, TITLE = {Ataxin-2 and huntingtin interact with endophilin-A complexes to function in plastin-associated pathways}, AUTHOR = {Ralser, Markus and Nonhoff, Ute and Albrecht, Mario and Lengauer, Thomas and Wanker, Erich E. and Lehrach, Hans and Krobitsch, Sylvia}, LANGUAGE = {eng}, ISSN = {0964-6906}, LOCALID = {Local-ID: C125673F004B2D7B-9787AFD34878859CC125706E003D0A9B-Albrecht2005i}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Human Molecular Genetics}, VOLUME = {14}, PAGES = {2893--2909}, }
Endnote
%0 Journal Article %A Ralser, Markus %A Nonhoff, Ute %A Albrecht, Mario %A Lengauer, Thomas %A Wanker, Erich E. %A Lehrach, Hans %A Krobitsch, Sylvia %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Ataxin-2 and huntingtin interact with endophilin-A complexes to function in plastin-associated pathways : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-25D3-8 %F EDOC: 279051 %F OTHER: Local-ID: C125673F004B2D7B-9787AFD34878859CC125706E003D0A9B-Albrecht2005i %D 2005 %* Review method: peer-reviewed %J Human Molecular Genetics %V 14 %& 2893 %P 2893 - 2909 %@ false
840. Ralser M, Albrecht M, Nonhoff U, Lengauer T, Lehrach H, Krobitsch S: An integrative approach to gain insights into the cellular function of human ataxin-2. Journal of Molecular Biology 2005, 346.
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@article{Albrecht2005b, TITLE = {An integrative approach to gain insights into the cellular function of human ataxin-2}, AUTHOR = {Ralser, Markus and Albrecht, Mario and Nonhoff, Ute and Lengauer, Thomas and Lehrach, Hans and Krobitsch, Sylvia}, LANGUAGE = {eng}, ISBN = {00222836}, LOCALID = {Local-ID: C125673F004B2D7B-851A0C1D8CA196D0C1256F8E006C3F30-Albrecht2005b}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Molecular Biology}, VOLUME = {346}, PAGES = {203--214}, }
Endnote
%0 Journal Article %A Ralser, Markus %A Albrecht, Mario %A Nonhoff, Ute %A Lengauer, Thomas %A Lehrach, Hans %A Krobitsch, Sylvia %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T An integrative approach to gain insights into the cellular function of human ataxin-2 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-25B8-6 %F EDOC: 279052 %F OTHER: Local-ID: C125673F004B2D7B-851A0C1D8CA196D0C1256F8E006C3F30-Albrecht2005b %D 2005 %* Review method: peer-reviewed %J Journal of Molecular Biology %V 346 %& 203 %P 203 - 214 %@ 00222836
841. Sarrazin C, Mihm U, Herrmann E, Welsch C, Albrecht M, Sarrazin U, Traver S, Lengauer T, Zeuzem S: Clinical significance of in vitro replication-enhancing mutations of the hepatitis C virus (HCV) replicon in patients with chronic HCV infection. The Journal of Infectious Diseases 2005, 192.
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@article{Albrecht2005g, TITLE = {Clinical significance of in vitro replication-enhancing mutations of the hepatitis C virus ({HCV}) replicon in patients with chronic {HCV} infection}, AUTHOR = {Sarrazin, Christoph and Mihm, Ulrike and Herrmann, Eva and Welsch, Christoph and Albrecht, Mario and Sarrazin, Ulrike and Traver, Stella and Lengauer, Thomas and Zeuzem, Stefan}, LANGUAGE = {eng}, ISBN = {00221899}, LOCALID = {Local-ID: C125673F004B2D7B-A44E9ADCDE1B3B61C125701100398786-Albrecht2005g}, YEAR = {2005}, DATE = {2005}, JOURNAL = {The Journal of Infectious Diseases}, VOLUME = {192}, PAGES = {1710--1719}, }
Endnote
%0 Journal Article %A Sarrazin, Christoph %A Mihm, Ulrike %A Herrmann, Eva %A Welsch, Christoph %A Albrecht, Mario %A Sarrazin, Ulrike %A Traver, Stella %A Lengauer, Thomas %A Zeuzem, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Clinical significance of in vitro replication-enhancing mutations of the hepatitis C virus (HCV) replicon in patients with chronic HCV infection : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2606-0 %F EDOC: 279050 %F OTHER: Local-ID: C125673F004B2D7B-A44E9ADCDE1B3B61C125701100398786-Albrecht2005g %D 2005 %* Review method: peer-reviewed %J The Journal of Infectious Diseases %V 192 %& 1710 %P 1710 - 1719 %@ 00221899
842. Schlicker A: A Global Approach to Comparative Genomics: Comparison of Functional Annotation over the Taxonomic Tree. Universität des Saarlandes; 2005.
Abstract
Genome sequencing projects produce large amounts of data that are stored in <br>sequence databases. Entries in these databases are annotated using the results <br>of different experiments and computational methods. These methods usually rely <br>on homology detection based on sequence similarity searches.<br>Gene Ontology (GO) provides a standard vocabulary of functional terms, and <br>allows a coherent annotation of gene products. These annotations can be used as <br>a basis for new methods that compare gene products on the basis of their <br>molecular function and biological role.<br>In this thesis, we present a new approach for integrating the species taxonomy, <br>protein family classifications and GO annotations. We implemented a database <br>and a client application,<br>GOTaxExplorer, that can be used to perform queries with a simplified language <br>and to process and visualize the results. It allows to compare different <br>taxonomic groups regarding the protein families or the protein functions <br>associated with the different genomes. We developed a method for comparing GO <br>annotations which includes a measure of functional similarity between gene <br>products. The method was able to find functional relationships even if the <br>proteins show no significant sequence similarity. We provide results for <br>different application scenarios, in particular for the identification of new <br>drug targets.
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@mastersthesis{Schlicker2005, TITLE = {A Global Approach to Comparative Genomics: Comparison of Functional Annotation over the Taxonomic Tree}, AUTHOR = {Schlicker, Andreas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-76B88A36B2C63828C12570EB004472E7-Schlicker2005}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, ABSTRACT = {Genome sequencing projects produce large amounts of data that are stored in <br>sequence databases. Entries in these databases are annotated using the results <br>of different experiments and computational methods. These methods usually rely <br>on homology detection based on sequence similarity searches.<br>Gene Ontology (GO) provides a standard vocabulary of functional terms, and <br>allows a coherent annotation of gene products. These annotations can be used as <br>a basis for new methods that compare gene products on the basis of their <br>molecular function and biological role.<br>In this thesis, we present a new approach for integrating the species taxonomy, <br>protein family classifications and GO annotations. We implemented a database <br>and a client application,<br>GOTaxExplorer, that can be used to perform queries with a simplified language <br>and to process and visualize the results. It allows to compare different <br>taxonomic groups regarding the protein families or the protein functions <br>associated with the different genomes. We developed a method for comparing GO <br>annotations which includes a measure of functional similarity between gene <br>products. The method was able to find functional relationships even if the <br>proteins show no significant sequence similarity. We provide results for <br>different application scenarios, in particular for the identification of new <br>drug targets.}, }
Endnote
%0 Thesis %A Schlicker, Andreas %Y Domingues, Francisco S. %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Global Approach to Comparative Genomics: Comparison of Functional Annotation over the Taxonomic Tree : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-258D-A %F EDOC: 279036 %F OTHER: Local-ID: C125673F004B2D7B-76B88A36B2C63828C12570EB004472E7-Schlicker2005 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V master %9 master %X Genome sequencing projects produce large amounts of data that are stored in <br>sequence databases. Entries in these databases are annotated using the results <br>of different experiments and computational methods. These methods usually rely <br>on homology detection based on sequence similarity searches.<br>Gene Ontology (GO) provides a standard vocabulary of functional terms, and <br>allows a coherent annotation of gene products. These annotations can be used as <br>a basis for new methods that compare gene products on the basis of their <br>molecular function and biological role.<br>In this thesis, we present a new approach for integrating the species taxonomy, <br>protein family classifications and GO annotations. We implemented a database <br>and a client application,<br>GOTaxExplorer, that can be used to perform queries with a simplified language <br>and to process and visualize the results. It allows to compare different <br>taxonomic groups regarding the protein families or the protein functions <br>associated with the different genomes. We developed a method for comparing GO <br>annotations which includes a measure of functional similarity between gene <br>products. The method was able to find functional relationships even if the <br>proteins show no significant sequence similarity. We provide results for <br>different application scenarios, in particular for the identification of new <br>drug targets.
843. Schreiber S, Rosenstiel P, Albrecht M, Hampe J, Krawczak M: Genetics of Crohn disease, an archetypal inflammatory barrier disease. Nature Reviews Genetics 2005, 6.
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@article{Albrecht2005f, TITLE = {Genetics of Crohn disease, an archetypal inflammatory barrier disease}, AUTHOR = {Schreiber, Stefan and Rosenstiel, Philip and Albrecht, Mario and Hampe, Jochen and Krawczak, Michael}, LANGUAGE = {eng}, ISBN = {14710056}, LOCALID = {Local-ID: C125673F004B2D7B-BDED0D6DD6E26F80C1256FBA006DD712-Albrecht2005f}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Nature Reviews Genetics}, VOLUME = {6}, PAGES = {376--388}, }
Endnote
%0 Journal Article %A Schreiber, Stefan %A Rosenstiel, Philip %A Albrecht, Mario %A Hampe, Jochen %A Krawczak, Michael %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genetics of Crohn disease, an archetypal inflammatory barrier disease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-26A8-2 %F EDOC: 279049 %F OTHER: Local-ID: C125673F004B2D7B-BDED0D6DD6E26F80C1256FBA006DD712-Albrecht2005f %D 2005 %* Review method: peer-reviewed %J Nature Reviews Genetics %V 6 %& 376 %P 376 - 388 %@ 14710056
844. Sing T, Beerenwinkel N, Lengauer T, Svicher V, Ceccherini-Silberstein F, Perno C-}Federico: Supervised and Unsupervised Approaches for Analyzing Covariation and Phenotypic Impact of HIV Drug Resistance Mutations. In Lernen, Wissensentdeckung und Adaptivität 2005 (LWA 2005). DFKI; 2005.
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@inproceedings{DBLP:conf/lwa/SingBLSCP05, TITLE = {Supervised and Unsupervised Approaches for Analyzing Covariation and Phenotypic Impact of {HIV} Drug Resistance Mutations}, AUTHOR = {Sing, Tobias and Beerenwinkel, Niko and Lengauer, Thomas and Svicher, Valentina and Ceccherini-Silberstein, Francesca and Perno, Carlo{\textbraceleft}-{\textbraceright}Federico}, LANGUAGE = {eng}, PUBLISHER = {DFKI}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Lernen, Wissensentdeckung und Adaptivit{\"a}t 2005 (LWA 2005)}, PAGES = {234--239}, ADDRESS = {Saarbr{\"u}cken, Germany}, }
Endnote
%0 Conference Proceedings %A Sing, Tobias %A Beerenwinkel, Niko %A Lengauer, Thomas %A Svicher, Valentina %A Ceccherini-Silberstein, Francesca %A Perno, Carlo{-}Federico %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Supervised and Unsupervised Approaches for Analyzing Covariation and Phenotypic Impact of HIV Drug Resistance Mutations : %G eng %U http://hdl.handle.net/21.11116/0000-000F-97E5-4 %D 2005 %B Lernen, Wissensentdeckung und Adaptivit&#228;t 2005 %Z date of event: 2005-10-10 - 2005-10-12 %C Saarbr&#252;cken, Germany %B Lernen, Wissensentdeckung und Adaptivit&#228;t 2005 %P 234 - 239 %I DFKI
845. Sing T, Svicher V, Beerenwinkel N, Ceccherini-Silberstein F, Däumer M, Kaiser R, Walter H, Korn K, Hoffmann D, Oette M, Rockstroh JK, Fätkenheuer G, Perno C-F, Lengauer T: Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking. In Knowledge Discovery in Databases: PKDD 2005. Springer; 2005. [Lecture Notes in Computer Science, vol. 3721]
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@inproceedings{Sing2005pkdd, TITLE = {Characterization of Novel {HIV} Drug Resistance Mutations Using Clustering, Multidimensional Scaling and {SVM}-Based Feature Ranking}, AUTHOR = {Sing, Tobias and Svicher, Valentina and Beerenwinkel, Niko and Ceccherini-Silberstein, Francesca and D{\"a}umer, Martin and Kaiser, Rolf and Walter, Hauke and Korn, Klaus and Hoffmann, Daniel and Oette, Mark and Rockstroh, J{\"u}rgen K. and F{\"a}tkenheuer, Gerd and Perno, Carlo-Federico and Lengauer, Thomas}, LANGUAGE = {eng}, DOI = {10.1007/11564126_30}, PUBLISHER = {Springer}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Knowledge Discovery in Databases: PKDD 2005}, EDITOR = {Jorge, A and Torgo, L and Brazdil, P and Camacho, R and Gama, J}, PAGES = {285--296}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {3721}, ADDRESS = {Porto, Portugal}, }
Endnote
%0 Conference Proceedings %A Sing, Tobias %A Svicher, Valentina %A Beerenwinkel, Niko %A Ceccherini-Silberstein, Francesca %A D&#228;umer, Martin %A Kaiser, Rolf %A Walter, Hauke %A Korn, Klaus %A Hoffmann, Daniel %A Oette, Mark %A Rockstroh, J&#252;rgen K. %A F&#228;tkenheuer, Gerd %A Perno, Carlo-Federico %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-030B-3 %R 10.1007/11564126_30 %D 2005 %B PKDD 2005 %Z date of event: 2005-10-03 - 2005-10-07 %C Porto, Portugal %B Knowledge Discovery in Databases: PKDD 2005 %E Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J %P 285 - 296 %I Springer %B Lecture Notes in Computer Science %N 3721 %U https://rdcu.be/dOxaA
846. Sing T, Beerenwinkel N, Kaiser R, Hoffmann D, Däumer M, Lengauer T: Geno2pheno[coreceptor]: a Tool for Predicting Coreceptor Usage from Genotype and for Monitoring Coreceptor-associated Sequence Alterations. Proceedings of the 3rd European HIV Drug Resistance Workshop 2005. [HIV Medicine]
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@inproceedings{Sing2005b, TITLE = {Geno2pheno[coreceptor]: a Tool for Predicting Coreceptor Usage from Genotype and for Monitoring Coreceptor-associated Sequence Alterations}, AUTHOR = {Sing, Tobias and Beerenwinkel, Niko and Kaiser, Rolf and Hoffmann, Daniel and D{\"a}umer, Martin and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-1F9471F63CB4BAB2C1256FB700532B1E-Sing2005b}, PUBLISHER = {European AIDS Clinical Society}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Proceedings of the 3rd European HIV Drug Resistance Workshop}, PAGES = {1--1}, SERIES = {HIV Medicine}, ADDRESS = {Athens, Greece}, }
Endnote
%0 Generic %A Sing, Tobias %A Beerenwinkel, Niko %A Kaiser, Rolf %A Hoffmann, Daniel %A D&#228;umer, Martin %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno[coreceptor]: a Tool for Predicting Coreceptor Usage from Genotype and for Monitoring Coreceptor-associated Sequence Alterations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-21C1-5 %F EDOC: 279048 %F OTHER: Local-ID: C125673F004B2D7B-1F9471F63CB4BAB2C1256FB700532B1E-Sing2005b %D 2005 %Z name of event: 3rd European HIV Drug Resistance Workshop %Z date of event: 2005-03-30 - 2005-04-01 %Z place of event: Athens, Greece %B Proceedings of the 3rd European HIV Drug Resistance Workshop %P 1 - 1 %B HIV Medicine
847. Siu SWI: Computational Prediction of MHC-peptide Interactions. Universität des Saarlandes; 2005.
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@mastersthesis{SiuPhd2005, TITLE = {Computational Prediction of {MHC}-peptide Interactions}, AUTHOR = {Siu, Shirley Weng In}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, }
Endnote
%0 Thesis %A Siu, Shirley Weng In %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Prediction of MHC-peptide Interactions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0926-A %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V master %9 master
848. Siu W-I: Computational Prediction of MHC-Peptide Interaction. Universität des Saarlandes; 2005.
Abstract
T-cell recognition is a critical step in regulating immune response. Activation of Cytotoxic T-cell requires the MHC class I molecules in complex with specific peptides and present them on the surface of the cell. Identification of potential ligands to MHC is therefore important for understanding disease pathogenesis and aiding vaccine design. Despite years of effort in the field, reliable prediction of MHC ligands remains a difficult task. It is reported that only one out of 100 to 200 potential binders actually binds. Methods based on sequence data alone are fast but fail to capture all binding patterns, while the structure based methods are more promising but far too slow for large-scale screening of protein sequences. In this work, we propose a new method to the prediction problem. It is based on the assumption that peptide binding is an aggregrate effect of contributions from independent binding of residues. Compatibility of each amino acid in the MHC binding pockets is examined thoroughly by molecular dynamics simulation. Values of energy terms important for binding are collected from the generated ensembles, and are used to produce the allele-specific scoring matrix. Each entry in this matrix represents the favorableness in terms of a particular "feature" of an amino acid in a binding position. Prediction models based on machine learning techniques are then trained to discriminate binders from non-binders. Our method is compared to two other sequence-based methods using HLA-A*0201 9-mer sequences. Three publicly available data sets are used: the MHCPEP, SYFPEITHI data sets, and the HXB2 genome. In overall, our method successfully improves the prediction accuracy with higher specificity. Its robustness to different sizes and ratios of training data proves its ability to provide reliable prediction by less dependency on the sequence data. The method also shows better generalizability in cross-allele predictions. For predicting peptide bound conformations, our preliminary approach based on energy minimization gives the satisfactory result of a backbone RMSD at 1.7 to 1.88 A as compared to the crystal structures.
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@mastersthesis{Siu2005, TITLE = {Computational Prediction of {MHC}-Peptide Interaction}, AUTHOR = {Siu, Weng-In}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, ABSTRACT = {T-cell recognition is a critical step in regulating immune response. Activation of Cytotoxic T-cell requires the MHC class I molecules in complex with specific peptides and present them on the surface of the cell. Identification of potential ligands to MHC is therefore important for understanding disease pathogenesis and aiding vaccine design. Despite years of effort in the field, reliable prediction of MHC ligands remains a difficult task. It is reported that only one out of 100 to 200 potential binders actually binds. Methods based on sequence data alone are fast but fail to capture all binding patterns, while the structure based methods are more promising but far too slow for large-scale screening of protein sequences. In this work, we propose a new method to the prediction problem. It is based on the assumption that peptide binding is an aggregrate effect of contributions from independent binding of residues. Compatibility of each amino acid in the MHC binding pockets is examined thoroughly by molecular dynamics simulation. Values of energy terms important for binding are collected from the generated ensembles, and are used to produce the allele-specific scoring matrix. Each entry in this matrix represents the favorableness in terms of a particular "feature" of an amino acid in a binding position. Prediction models based on machine learning techniques are then trained to discriminate binders from non-binders. Our method is compared to two other sequence-based methods using HLA-A*0201 9-mer sequences. Three publicly available data sets are used: the MHCPEP, SYFPEITHI data sets, and the HXB2 genome. In overall, our method successfully improves the prediction accuracy with higher specificity. Its robustness to different sizes and ratios of training data proves its ability to provide reliable prediction by less dependency on the sequence data. The method also shows better generalizability in cross-allele predictions. For predicting peptide bound conformations, our preliminary approach based on energy minimization gives the satisfactory result of a backbone RMSD at 1.7 to 1.88 A as compared to the crystal structures.}, }
Endnote
%0 Thesis %A Siu, Weng-In %Y Antes, Iris %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Prediction of MHC-Peptide Interaction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-F3C3-8 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V master %9 master %X T-cell recognition is a critical step in regulating immune response. Activation of Cytotoxic T-cell requires the MHC class I molecules in complex with specific peptides and present them on the surface of the cell. Identification of potential ligands to MHC is therefore important for understanding disease pathogenesis and aiding vaccine design. Despite years of effort in the field, reliable prediction of MHC ligands remains a difficult task. It is reported that only one out of 100 to 200 potential binders actually binds. Methods based on sequence data alone are fast but fail to capture all binding patterns, while the structure based methods are more promising but far too slow for large-scale screening of protein sequences. In this work, we propose a new method to the prediction problem. It is based on the assumption that peptide binding is an aggregrate effect of contributions from independent binding of residues. Compatibility of each amino acid in the MHC binding pockets is examined thoroughly by molecular dynamics simulation. Values of energy terms important for binding are collected from the generated ensembles, and are used to produce the allele-specific scoring matrix. Each entry in this matrix represents the favorableness in terms of a particular "feature" of an amino acid in a binding position. Prediction models based on machine learning techniques are then trained to discriminate binders from non-binders. Our method is compared to two other sequence-based methods using HLA-A*0201 9-mer sequences. Three publicly available data sets are used: the MHCPEP, SYFPEITHI data sets, and the HXB2 genome. In overall, our method successfully improves the prediction accuracy with higher specificity. Its robustness to different sizes and ratios of training data proves its ability to provide reliable prediction by less dependency on the sequence data. The method also shows better generalizability in cross-allele predictions. For predicting peptide bound conformations, our preliminary approach based on energy minimization gives the satisfactory result of a backbone RMSD at 1.7 to 1.88 A as compared to the crystal structures.
849. Steffen A, Kämper A, Lengauer T: FlexR - A new tool for predicting the structure of synthetic host-guest complexes. In Synthetic Receptors 2005: Second World Congress on Synthetic Receptors. Edited by Turner APF. Elsevier; 2005.
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@inproceedings{Steffen2005, TITLE = {{FlexR} -- A new tool for predicting the structure of synthetic host-guest complexes}, AUTHOR = {Steffen, Andreas and K{\"a}mper, Andreas and Lengauer, Thomas}, EDITOR = {Turner, A.P.F.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-98B908B2234102CEC12570B3005B346E-Steffen2005}, PUBLISHER = {Elsevier}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Synthetic Receptors 2005: Second World Congress on Synthetic Receptors}, }
Endnote
%0 Conference Proceedings %A Steffen, Andreas %A K&#228;mper, Andreas %A Lengauer, Thomas %E Turner, A.P.F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T FlexR - A new tool for predicting the structure of synthetic host-guest complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2697-8 %F EDOC: 279047 %F OTHER: Local-ID: C125673F004B2D7B-98B908B2234102CEC12570B3005B346E-Steffen2005 %I Elsevier %D 2005 %B Untitled Event %Z date of event: 2005-09-07 - %C Salzburg, Austria %B Synthetic Receptors 2005: Second World Congress on Synthetic Receptors %I Elsevier
850. Svicher V, Ceccherini-Silberstein F, Sing T, Santoro M, Gori C, Beerenwinkel N, Gago F, D’Arrigo R, Bellocchi MC, Giannella S, Bertoli A, D’Arminio Monforte A, Antinori A, Perno CF: Additional Mutations in HIV-1 Reverse Transcriptase are Involved in the Highly Ordered Regulation of NRTI Resistance. In Proceedings of the 3rd European HIV Drug Resistance Workshop. European AIDS Clinical Society; 2005. [HIV Medicine]
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@inproceedings{Svicher2005b, TITLE = {Additional Mutations in {HIV}-1 Reverse Transcriptase are Involved in the Highly Ordered Regulation of {NRTI} Resistance}, AUTHOR = {Svicher, Valentina and Ceccherini-Silberstein, Francesca and Sing, Tobias and Santoro, M. and Gori, C. and Beerenwinkel, Niko and Gago, F. and D'Arrigo, R. and Bellocchi, M.C. and Giannella, S. and Bertoli, A. and D'Arminio Monforte, A. and Antinori, A. and Perno, C.F.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-0FD71277D572E56BC1256FB700556414-Svicher2005b}, PUBLISHER = {European AIDS Clinical Society}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {Proceedings of the 3rd European HIV Drug Resistance Workshop}, PAGES = {1--1}, SERIES = {HIV Medicine}, }
Endnote
%0 Conference Proceedings %A Svicher, Valentina %A Ceccherini-Silberstein, Francesca %A Sing, Tobias %A Santoro, M. %A Gori, C. %A Beerenwinkel, Niko %A Gago, F. %A D'Arrigo, R. %A Bellocchi, M.C. %A Giannella, S. %A Bertoli, A. %A D'Arminio Monforte, A. %A Antinori, A. %A Perno, C.F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Additional Mutations in HIV-1 Reverse Transcriptase are Involved in the Highly Ordered Regulation of NRTI Resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2586-7 %F EDOC: 279046 %F OTHER: Local-ID: C125673F004B2D7B-0FD71277D572E56BC1256FB700556414-Svicher2005b %I European AIDS Clinical Society %D 2005 %B Untitled Event %Z date of event: 2005-03-30 - %C Athens, Greece %B Proceedings of the 3rd European HIV Drug Resistance Workshop %P 1 - 1 %I European AIDS Clinical Society %B HIV Medicine
851. Svicher V, Ceccherini-Silberstein F, Sing T, Santoro M, Gori C, Beerenwinkel N, Gago F, D’Arrigo R, Bellochi MC, Giannella S, Bertoli A, D’Arminio Monforte A, Antinori A, Perno CF: A highly ordered network of HIV-1 RT mutations regulates the continuous escape from antiviral drugs. In International Workshop in HIV Dynamics and Evolution. University of California, San Diego; 2005.
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@inproceedings{Svicher2005a, TITLE = {A highly ordered network of {HIV}-1 {RT} mutations regulates the continuous escape from antiviral drugs}, AUTHOR = {Svicher, Valentina and Ceccherini-Silberstein, Francesca and Sing, Tobias and Santoro, M. and Gori, C. and Beerenwinkel, Niko and Gago, F. and D'Arrigo, R. and Bellochi, M.C. and Giannella, S. and Bertoli, A. and D'Arminio Monforte, A. and Antinori, A. and Perno, C.F.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-D27918C5AC5D6BBFC1256FB70055CBA4-Svicher2005a}, PUBLISHER = {University of California, San Diego}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {International Workshop in HIV Dynamics and Evolution}, }
Endnote
%0 Conference Proceedings %A Svicher, Valentina %A Ceccherini-Silberstein, Francesca %A Sing, Tobias %A Santoro, M. %A Gori, C. %A Beerenwinkel, Niko %A Gago, F. %A D'Arrigo, R. %A Bellochi, M.C. %A Giannella, S. %A Bertoli, A. %A D'Arminio Monforte, A. %A Antinori, A. %A Perno, C.F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A highly ordered network of HIV-1 RT mutations regulates the continuous escape from antiviral drugs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-258F-6 %F EDOC: 279045 %F OTHER: Local-ID: C125673F004B2D7B-D27918C5AC5D6BBFC1256FB70055CBA4-Svicher2005a %I University of California, San Diego %D 2005 %B Untitled Event %Z date of event: 2005-04-23 - %C Cleveland, Ohio, USA %B International Workshop in HIV Dynamics and Evolution %I University of California, San Diego
852. Ulmschneider S, Mueller-Vieira U, Mitrenga M, Hartmann RW, Oberwinkler-Marchais S, Klein CD, Bureik M, Bernhardt R, Antes I, Lengauer T: Synthesis and Evaluation of Imidazolylmethylenetetrahydronaphthalenes and Imidazolylmethyleneindanes: Potent Inhibitors of Aldosterone Synthase. Journal of Medicinal Chemistry 2005, 48.
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@article{Antes2005b, TITLE = {Synthesis and Evaluation of Imidazolylmethylenetetrahydronaphthalenes and Imidazolylmethyleneindanes: Potent Inhibitors of Aldosterone Synthase}, AUTHOR = {Ulmschneider, Sarah and Mueller-Vieira, Ursula and Mitrenga, Markus and Hartmann, Rolf W. and Oberwinkler-Marchais, S and Klein, Christian D. and Bureik, M. and Bernhardt, R. and Antes, Iris and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {00222623}, LOCALID = {Local-ID: C125673F004B2D7B-A1FA14209B08212CC1256FBC007DCA97-Antes2005b}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {48}, PAGES = {1796--1805}, }
Endnote
%0 Journal Article %A Ulmschneider, Sarah %A Mueller-Vieira, Ursula %A Mitrenga, Markus %A Hartmann, Rolf W. %A Oberwinkler-Marchais, S %A Klein, Christian D. %A Bureik, M. %A Bernhardt, R. %A Antes, Iris %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Synthesis and Evaluation of Imidazolylmethylenetetrahydronaphthalenes and Imidazolylmethyleneindanes: Potent Inhibitors of Aldosterone Synthase : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-27D5-5 %F EDOC: 279043 %F OTHER: Local-ID: C125673F004B2D7B-A1FA14209B08212CC1256FBC007DCA97-Antes2005b %D 2005 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 48 %& 1796 %P 1796 - 1805 %@ 00222623
853. Ulmschneider S, Mueller-Vieira U, Klein CD, Antes I, Lengauer T, Hartmann RW: Synthesis and Evaluation of Pyridylmethylene-tetrahydronaphthalenes and -indanes: Potent and Selective Inhibitors of Aldosterone Synthase (CYP11B2). Journal of Medicinal Chemistry 2005, 48.
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@article{Antes2005a, TITLE = {Synthesis and Evaluation of Pyridylmethylene-tetrahydronaphthalenes and -indanes: Potent and Selective Inhibitors of Aldosterone Synthase ({CYP11B2})}, AUTHOR = {Ulmschneider, Sarah and Mueller-Vieira, Ursula and Klein, Christian D. and Antes, Iris and Lengauer, Thomas and Hartmann, Rolf W.}, LANGUAGE = {eng}, ISBN = {00222623}, LOCALID = {Local-ID: C125673F004B2D7B-F5933B18291C196EC1256FBC007D318F-Antes2005a}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {48}, PAGES = {4489--4490}, }
Endnote
%0 Journal Article %A Ulmschneider, Sarah %A Mueller-Vieira, Ursula %A Klein, Christian D. %A Antes, Iris %A Lengauer, Thomas %A Hartmann, Rolf W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Synthesis and Evaluation of Pyridylmethylene-tetrahydronaphthalenes and -indanes: Potent and Selective Inhibitors of Aldosterone Synthase (CYP11B2) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-27D7-1 %F EDOC: 279044 %F OTHER: Local-ID: C125673F004B2D7B-F5933B18291C196EC1256FBC007D318F-Antes2005a %D 2005 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 48 %& 4489 %P 4489 - 4490 %@ 00222623
854. Valentonyte R, Hampe J, Huse K, Rosenstiel P, Albrecht M, Stenzel A, Nagy M, Gaede KI, Franke A, Haesler R, Koch A, Lengauer T, Seegert D, Reiling N, Ehlers S, Schwinger E, Platzer M, Krawczak M, Müller-Quernheim J, Schürmann M, Schreiber S: Sarcoidosis is associated with a truncating splice site mutation in BTNL2. Nature Genetics 2005, 37.
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@article{Albrecht2005c, TITLE = {Sarcoidosis is associated with a truncating splice site mutation in {BTNL2}}, AUTHOR = {Valentonyte, Ruta and Hampe, Jochen and Huse, Klaus and Rosenstiel, Philip and Albrecht, Mario and Stenzel, Annette and Nagy, Marion and Gaede, Karoline I. and Franke, Andre and Haesler, Robert and Koch, Andreas and Lengauer, Thomas and Seegert, Dirk and Reiling, Norbert and Ehlers, Stefan and Schwinger, Eberhard and Platzer, Mathias and Krawczak, Michael and M{\"u}ller-Quernheim, Joachim and Sch{\"u}rmann, Manfred and Schreiber, Stefan}, LANGUAGE = {eng}, ISBN = {10614036}, LOCALID = {Local-ID: C125673F004B2D7B-C5973DDE5A22DC7DC1256FB6005C8085-Albrecht2005c}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Nature Genetics}, VOLUME = {37}, PAGES = {357--364}, }
Endnote
%0 Journal Article %A Valentonyte, Ruta %A Hampe, Jochen %A Huse, Klaus %A Rosenstiel, Philip %A Albrecht, Mario %A Stenzel, Annette %A Nagy, Marion %A Gaede, Karoline I. %A Franke, Andre %A Haesler, Robert %A Koch, Andreas %A Lengauer, Thomas %A Seegert, Dirk %A Reiling, Norbert %A Ehlers, Stefan %A Schwinger, Eberhard %A Platzer, Mathias %A Krawczak, Michael %A M&#252;ller-Quernheim, Joachim %A Sch&#252;rmann, Manfred %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Sarcoidosis is associated with a truncating splice site mutation in BTNL2 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-279F-0 %F EDOC: 279042 %F OTHER: Local-ID: C125673F004B2D7B-C5973DDE5A22DC7DC1256FB6005C8085-Albrecht2005c %D 2005 %* Review method: peer-reviewed %J Nature Genetics %V 37 %& 357 %P 357 - 364 %@ 10614036
855. Van Duist MM, Albrecht M, Podswiadek M, Giachino D, Lengauer T, Punzi L, De Marchi M: A new CARD15 mutation in Blau syndrome. European Journal of Human Genetics 2005, 13.
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@article{Albrecht2005e, TITLE = {A new {CARD15} mutation in Blau syndrome}, AUTHOR = {Van Duist, Marjan M. and Albrecht, Mario and Podswiadek, Marta and Giachino, Daniela and Lengauer, Thomas and Punzi, Leonardo and De Marchi, Mario}, LANGUAGE = {eng}, ISBN = {10184813}, LOCALID = {Local-ID: C125673F004B2D7B-26ED07859EF2BE81C1256FB6005D7BC6-Albrecht2005e}, YEAR = {2005}, DATE = {2005}, JOURNAL = {European Journal of Human Genetics}, VOLUME = {13}, PAGES = {742--747}, }
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%0 Journal Article %A Van Duist, Marjan M. %A Albrecht, Mario %A Podswiadek, Marta %A Giachino, Daniela %A Lengauer, Thomas %A Punzi, Leonardo %A De Marchi, Mario %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A new CARD15 mutation in Blau syndrome : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-25AC-2 %F EDOC: 279041 %F OTHER: Local-ID: C125673F004B2D7B-26ED07859EF2BE81C1256FB6005D7BC6-Albrecht2005e %D 2005 %* Review method: peer-reviewed %J European Journal of Human Genetics %V 13 %& 742 %P 742 - 747 %@ 10184813
856. Voets M, Antes I, Scherer C, Biemel K, Barassin C, Marchais-Oberwinkler S, Hartmann RW: Synthesis and evaluation of heteroaryl substituted dihydronaphthalenes and indenes: potent and selective inhibitors of aldosterone synthase (CYP11B2) for the treatment of congestive heart failure and myocardial fibrosis. Journal of Medicinal Chemistry 2005, 48.
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@article{Antes2005f, TITLE = {Synthesis and evaluation of heteroaryl substituted dihydronaphthalenes and indenes: potent and selective inhibitors of aldosterone synthase ({CYP11B2}) for the treatment of congestive heart failure and myocardial fibrosis}, AUTHOR = {Voets, Marieke and Antes, Iris and Scherer, C. and Biemel, K. and Barassin, C. and Marchais-Oberwinkler, S. and Hartmann, R. W.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-9B7785D875F7E532C12570DF00470070-Antes2005f}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {48}, PAGES = {1563--1575}, }
Endnote
%0 Journal Article %A Voets, Marieke %A Antes, Iris %A Scherer, C. %A Biemel, K. %A Barassin, C. %A Marchais-Oberwinkler, S. %A Hartmann, R. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Synthesis and evaluation of heteroaryl substituted dihydronaphthalenes and indenes: potent and selective inhibitors of aldosterone synthase (CYP11B2) for the treatment of congestive heart failure and myocardial fibrosis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-27D3-9 %F EDOC: 279039 %F OTHER: Local-ID: C125673F004B2D7B-9B7785D875F7E532C12570DF00470070-Antes2005f %D 2005 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 48 %& 1563 %P 1563 - 1575
857. Voets M, Antes I, Scherer C, Mueller-Vieira U, Biemel K, Barrassin C, Marchais-Oberwinkler S, Hartmann RW: Heteroaryl-substituted naphthalenes and structurally modified derivatives: selective inhibitors of CYP11B2 for the treatment of congestive heart failure and myocardial fibrosis. Journal of Medicinal Chemistry 2005, 48.
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@article{Antes2005e, TITLE = {Heteroaryl-substituted naphthalenes and structurally modified derivatives: selective inhibitors of {CYP11B2} for the treatment of congestive heart failure and myocardial fibrosis}, AUTHOR = {Voets, Marieke and Antes, Iris and Scherer, C and Mueller-Vieira, U. and Biemel, K. and Barrassin, C. and Marchais-Oberwinkler, S. and Hartmann, R. W.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-CF4A51BEEE0B0D06C12570DF0046D58F-Antes2005e}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Journal of Medicinal Chemistry}, VOLUME = {48}, PAGES = {6632--6642}, }
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%0 Journal Article %A Voets, Marieke %A Antes, Iris %A Scherer, C %A Mueller-Vieira, U. %A Biemel, K. %A Barrassin, C. %A Marchais-Oberwinkler, S. %A Hartmann, R. W. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Heteroaryl-substituted naphthalenes and structurally modified derivatives: selective inhibitors of CYP11B2 for the treatment of congestive heart failure and myocardial fibrosis : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-26B6-2 %F EDOC: 279040 %F OTHER: Local-ID: C125673F004B2D7B-CF4A51BEEE0B0D06C12570DF0046D58F-Antes2005e %D 2005 %* Review method: peer-reviewed %J Journal of Medicinal Chemistry %V 48 %& 6632 %P 6632 - 6642
858. Volkamer A: Implementation of a Method to Filter out Compounds with Toxic, Reactive and Unsuitable Functional Groups. Universität des Saarlandes; 2005.
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@mastersthesis{Volkamer2006a, TITLE = {Implementation of a Method to Filter out Compounds with Toxic, Reactive and Unsuitable Functional Groups}, AUTHOR = {Volkamer, Andrea}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
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%0 Thesis %A Volkamer, Andrea %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Implementation of a Method to Filter out Compounds with Toxic, Reactive and Unsuitable Functional Groups : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-06F6-C %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
859. Weiss J: Generating Frequency Profiles from Multiple Structure Alignments. Universität des Saarlandes; 2005.
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@mastersthesis{Weiss2005a, TITLE = {Generating Frequency Profiles from Multiple Structure Alignments}, AUTHOR = {Weiss, Julia}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2005}, DATE = {2005}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Weiss, Julia %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Generating Frequency Profiles from Multiple Structure Alignments : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0849-F %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2005 %V bachelor %9 bachelor
860. Wemmert S, Ketter R, Rahnenführer J, Beerenwinkel N, Strowitzki M, Feiden W, Hartmann C, Lengauer T, Stockhammer F, Zang KD, Meese E, Steudel W-I, von Deimling A, Urbschat S: Patients with high grade gliomas harboring delections of chromosomes 9p and 10q benefit from temozolomide treatment. Neoplasia 2005, 7.
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@article{Wemmert05, TITLE = {Patients with high grade gliomas harboring delections of chromosomes 9p and 10q benefit from temozolomide treatment}, AUTHOR = {Wemmert, Silke and Ketter, Ralf and Rahnenf{\"u}hrer, J{\"o}rg and Beerenwinkel, Niko and Strowitzki, Martin and Feiden, Wolfgang and Hartmann, Christian and Lengauer, Thomas and Stockhammer, Florian and Zang, Klaus D. and Meese, Eckart and Steudel, Wolf-Ingo and von Deimling, Andreas and Urbschat, Steffi}, LANGUAGE = {eng}, ISBN = {15228002}, LOCALID = {Local-ID: C125673F004B2D7B-82C9849633E76B4BC1257050003932DA-Wemmert05}, YEAR = {2005}, DATE = {2005}, JOURNAL = {Neoplasia}, VOLUME = {7}, PAGES = {883--893}, }
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%0 Journal Article %A Wemmert, Silke %A Ketter, Ralf %A Rahnenf&#252;hrer, J&#246;rg %A Beerenwinkel, Niko %A Strowitzki, Martin %A Feiden, Wolfgang %A Hartmann, Christian %A Lengauer, Thomas %A Stockhammer, Florian %A Zang, Klaus D. %A Meese, Eckart %A Steudel, Wolf-Ingo %A von Deimling, Andreas %A Urbschat, Steffi %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Patients with high grade gliomas harboring delections of chromosomes 9p and 10q benefit from temozolomide treatment : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2755-3 %F EDOC: 279037 %F OTHER: Local-ID: C125673F004B2D7B-82C9849633E76B4BC1257050003932DA-Wemmert05 %D 2005 %* Review method: peer-reviewed %J Neoplasia %V 7 %& 883 %P 883 - 893 %@ 15228002
861. Zhu H, Domingues FS, Sommer I, Lengauer T: Classification of Protein-protein Interaction Types Using Support Vector Machines. 4th European Conference on Computational Biology Posters (ECCB 2005) 2005.
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@inproceedings{Zhu2005, TITLE = {Classification of Protein-protein Interaction Types Using Support Vector Machines}, AUTHOR = {Zhu, Hongbo and Domingues, Francisco S. and Sommer, Ingolf and Lengauer, Thomas}, LANGUAGE = {eng}, YEAR = {2005}, DATE = {2005}, BOOKTITLE = {4th European Conference on Computational Biology Posters (ECCB 2005)}, EID = {PC-50}, ADDRESS = {Madrid, Spain}, }
Endnote
%0 Generic %A Zhu, Hongbo %A Domingues, Francisco S. %A Sommer, Ingolf %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Classification of Protein-protein Interaction Types Using Support Vector Machines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-A640-C %D 2005 %Z name of event: 4th European Conference on Computational Biology %Z date of event: 2005-09-29 - 2005-09-30 %Z place of event: Madrid, Spain %B 4th European Conference on Computational Biology Posters %Z sequence number: PC-50 %U http://bioinfo.cnio.es/eccb05/200505301425560.long_abstract.pdf?postersPage=22&poster_id=257
2004
862. Albrecht M, Lengauer T: Novel Sm-like proteins with long C-terminal tails and associated methyltransferases. FEBS Letters 2004, 569.
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@article{Albrecht2004c, TITLE = {Novel Sm-like proteins with long C-terminal tails and associated methyltransferases}, AUTHOR = {Albrecht, Mario and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-9B65820089A086C1C1256E7F005DF132-Albrecht2004c}, YEAR = {2004}, DATE = {2004}, JOURNAL = {FEBS Letters}, VOLUME = {569}, PAGES = {18--26}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Novel Sm-like proteins with long C-terminal tails and associated methyltransferases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2990-F %F EDOC: 231276 %F OTHER: Local-ID: C125673F004B2D7B-9B65820089A086C1C1256E7F005DF132-Albrecht2004c %D 2004 %* Review method: peer-reviewed %J FEBS Letters %V 569 %& 18 %P 18 - 26
863. Albrecht M, Golatta M, Wüllner U, Lengauer T: Structural and functional analysis of ataxin-2 and ataxin-3. European Journal of Biochemistry 2004, 271.
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@article{Albrecht2004d, TITLE = {Structural and functional analysis of ataxin-2 and ataxin-3}, AUTHOR = {Albrecht, Mario and Golatta, Michael and W{\"u}llner, Ullrich and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-A051ECD11CF2842CC1256E7F005E1F28-Albrecht2004d}, YEAR = {2004}, DATE = {2004}, JOURNAL = {European Journal of Biochemistry}, VOLUME = {271}, PAGES = {3155--3170}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Golatta, Michael %A W&#252;llner, Ullrich %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural and functional analysis of ataxin-2 and ataxin-3 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2B46-9 %F EDOC: 232065 %F OTHER: Local-ID: C125673F004B2D7B-A051ECD11CF2842CC1256E7F005E1F28-Albrecht2004d %D 2004 %* Review method: peer-reviewed %J European Journal of Biochemistry %V 271 %& 3155 %P 3155 - 3170
864. Albrecht M, Lengauer T: Survey on the PABC recognition motif PAM2. Biochemical and Biophysical Research Communications 2004, 316.
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@article{Albrecht2004a, TITLE = {Survey on the {PABC} recognition motif {PAM2}}, AUTHOR = {Albrecht, Mario and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6EE815DA6CCE03B4C1256E44005DC3CE-Albrecht2004a}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Biochemical and Biophysical Research Communications}, VOLUME = {316}, PAGES = {129--138}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Survey on the PABC recognition motif PAM2 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2992-B %F EDOC: 231277 %F OTHER: Local-ID: C125673F004B2D7B-6EE815DA6CCE03B4C1256E44005DC3CE-Albrecht2004a %D 2004 %* Review method: peer-reviewed %J Biochemical and Biophysical Research Communications %V 316 %& 129 %P 129 - 138
865. Bayjanov J: Scoring Pathway Activity from Gene Expression Data. Universität des Saarlandes; 2004.
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@mastersthesis{Bayjanov2004a, TITLE = {Scoring Pathway Activity from Gene Expression Data}, AUTHOR = {Bayjanov, Jumamurat}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2004}, DATE = {2004}, }
Endnote
%0 Thesis %A Bayjanov, Jumamurat %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Scoring Pathway Activity from Gene Expression Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-034B-6 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2004 %V master %9 master
866. Beerenwinkel N: Computational Analysis of HIV Drug Resistance Data. Aachen, Germany: Shaker; 2004.
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@book{Beerenwinkel2004, TITLE = {Computational Analysis of {HIV} Drug resistance Data}, AUTHOR = {Beerenwinkel, Niko}, LANGUAGE = {eng}, ISBN = {3-8322-2639-7}, LOCALID = {Local-ID: C125673F004B2D7B-B4B94ECDDF63DBC4C1256F8F006C38D7-Beerenwinkel2004}, PUBLISHER = {Shaker}, ADDRESS = {Aachen, Germany}, YEAR = {2004}, DATE = {2004}, PAGES = {180}, }
Endnote
%0 Book %A Beerenwinkel, Niko %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computational Analysis of HIV Drug resistance Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2A5C-1 %F EDOC: 232086 %@ 3-8322-2639-7 %F OTHER: Local-ID: C125673F004B2D7B-B4B94ECDDF63DBC4C1256F8F006C38D7-Beerenwinkel2004 %I Shaker %C Aachen, Germany %D 2004 %P 180
867. Beerenwinkel N, Sing T, Däumer M, Kaiser R, Lengauer T: Computing the Genetic Barrier. XII International HIV Drug resistance Workshop 2004. [Antiviral Therapy, vol. 9]
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@inproceedings{Beerenwinkel2004Computing, TITLE = {Computing the Genetic Barrier}, AUTHOR = {Beerenwinkel, Niko and Sing, Tobias and D{\"a}umer, Martin and Kaiser, Rolf and Lengauer, Thomas}, LANGUAGE = {eng}, PUBLISHER = {International Medical Press}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {XII International HIV Drug resistance Workshop}, EDITOR = {Boucher, Charles and Mellors, John and Larder, Brendan and Richman, Douglas}, PAGES = {S125--S125}, SERIES = {Antiviral Therapy}, VOLUME = {9}, }
Endnote
%0 Generic %A Beerenwinkel, Niko %A Sing, Tobias %A D&#228;umer, Martin %A Kaiser, Rolf %A Lengauer, Thomas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Computing the Genetic Barrier : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-02E9-8 %D 2004 %B XII International HIV Drug resistance Workshop %E Boucher, Charles; Mellors, John; Larder, Brendan; Richman, Douglas %P S125 - S125 %B Antiviral Therapy %N 9
868. Beerenwinkel N, Rahnenführer J, Däumer M, Hoffmann D, Kaiser R, Selbig J, Lengauer T: Learning Multiple Evolutionary Pathways from Cross-sectional Data. In RECOMB 2004: Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology. ACM; 2004:36–44.
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@inproceedings{Beerenwinkel2004a, TITLE = {Learning Multiple Evolutionary Pathways from Cross-sectional Data}, AUTHOR = {Beerenwinkel, Niko and Rahnenf{\"u}hrer, J{\"o}rg and D{\"a}umer, Martin and Hoffmann, Daniel and Kaiser, Rolf and Selbig, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {978-1-58113-755-2}, DOI = {10.1145/974614.974620}, LOCALID = {Local-ID: C125673F004B2D7B-58471DAB4FD17627C1256E150060EA62-Beerenwinkel2004a}, PUBLISHER = {ACM}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {RECOMB 2004: Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology}, EDITOR = {Gusfield, Dan and Bourne, Philip and Istrail, Sorin and Pevzner, Pavel and Waterman, Michael}, PAGES = {36--44}, ADDRESS = {San Diego, USA}, }
Endnote
%0 Conference Proceedings %A Beerenwinkel, Niko %A Rahnenf&#252;hrer, J&#246;rg %A D&#228;umer, Martin %A Hoffmann, Daniel %A Kaiser, Rolf %A Selbig, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Max Planck Society Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Learning Multiple Evolutionary Pathways from Cross-sectional Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2996-3 %F EDOC: 231281 %F OTHER: Local-ID: C125673F004B2D7B-58471DAB4FD17627C1256E150060EA62-Beerenwinkel2004a %R 10.1145/974614.974620 %D 2004 %B 8th Annual International Conference on Research in Computational Molecular Biology %Z date of event: 2004-03-27 - %C San Diego, USA %B RECOMB 2004: Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology %E Gusfield, Dan; Bourne, Philip; Istrail, Sorin; Pevzner, Pavel; Waterman, Michael %P 36 - 44 %I ACM %@ 978-1-58113-755-2
869. Beerenwinkel N: Methoden zur Interpretation genotypischer Resistenztests. In Resistenz in der HIV-Therapie : Diagnostik und Management. Edited by Oette M, Kaiser R, Häussinger D. Bremen: UNI-MED Verl.; 2004.
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@incollection{NB2003a, TITLE = {{Methoden zur Interpretation genotypischer Resistenztests}}, AUTHOR = {Beerenwinkel, Niko}, EDITOR = {Oette, Mark and Kaiser, Rolf and H{\"a}ussinger, Dieter}, LANGUAGE = {deu}, ISBN = {3-89599-736-6}, LOCALID = {Local-ID: C125673F004B2D7B-1ECDE65F051ED39DC1256F09004AAC64-NB2003a}, PUBLISHER = {UNI-MED Verl.}, ADDRESS = {Bremen}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {Resistenz in der HIV-Therapie : Diagnostik und Management}, DEBUG = {editor: Oette, Mark; editor: Kaiser, Rolf; editor: H{\"a}ussinger, Dieter}, PAGES = {66--68}, }
Endnote
%0 Book Section %A Beerenwinkel, Niko %E Oette, Mark %E Kaiser, Rolf %E H&#228;ussinger, Dieter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Methoden zur Interpretation genotypischer Resistenztests : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2994-7 %F EDOC: 231280 %F OTHER: Local-ID: C125673F004B2D7B-1ECDE65F051ED39DC1256F09004AAC64-NB2003a %I UNI-MED Verl. %C Bremen %D 2004 %B Resistenz in der HIV-Therapie : Diagnostik und Management %E Oette, Mark; Kaiser, Rolf; H&#228;ussinger, Dieter %P 66 - 68 %I UNI-MED Verl. %C Bremen %@ 3-89599-736-6
870. Beerenwinkel N: Das Arevir-Projekt : neue Wege zur Optimierung von Anti-HIV-Therapien. In Resistenz in der HIV-Therapie : Diagnostik und Management. Edited by Oette M, Kaiser R, Häussinger D. Bremen: UNI-MED Verl.; 2004.
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@incollection{NB2003b, TITLE = {{Das Arevir-Projekt : neue Wege zur Optimierung von Anti-{HIV}-Therapien}}, AUTHOR = {Beerenwinkel, Niko}, EDITOR = {Oette, Mark and Kaiser, Rolf and H{\"a}ussinger, Dieter}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-BA1BCE10F4772BF6C1256F09004B575E-NB2003b}, PUBLISHER = {UNI-MED Verl.}, ADDRESS = {Bremen}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {Resistenz in der HIV-Therapie : Diagnostik und Management}, DEBUG = {editor: Oette, Mark; editor: Kaiser, Rolf; editor: H{\"a}ussinger, Dieter}, PAGES = {94--98}, }
Endnote
%0 Book Section %A Beerenwinkel, Niko %E Oette, Mark %E Kaiser, Rolf %E H&#228;ussinger, Dieter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Das Arevir-Projekt : neue Wege zur Optimierung von Anti-HIV-Therapien : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2A78-1 %F EDOC: 232081 %F OTHER: Local-ID: C125673F004B2D7B-BA1BCE10F4772BF6C1256F09004B575E-NB2003b %I UNI-MED Verl. %C Bremen %D 2004 %B Resistenz in der HIV-Therapie : Diagnostik und Management %E Oette, Mark; Kaiser, Rolf; H&#228;ussinger, Dieter %P 94 - 98 %I UNI-MED Verl. %C Bremen
871. Crass T, Antes I, Basekow R, Bork P, Buning C, Christensen M, Claußen H, Ebeling C, Ernst P, Gailus-Durner V, Glatting K-H, Gohla R, Gößling F, Grote K, Heidtke K, Herrmann A, O Keefe S, Kießlich O, Kolibal S, Korbel JO, Lengauer T, Liebich I, van der Linden M, Luz H, Meissner K, von Mering C, Mevissen T, Mewes H-W, Michael H, Mokrejs M, et al.: The Helmholtz Network for Bioinformatics: An Integrative Web Portal for Bioinformatics Resources. Bioinformatics 2004, 20.
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@article{Lengauer2004, TITLE = {The {Helmholtz} Network for Bioinformatics: an integrative web portal for bioinformatics resources}, AUTHOR = {Crass, T. and Antes, Iris and Basekow, R. and Bork, P. and Buning, Christian and Christensen, M. and Clau{\ss}en, H. and Ebeling, C. and Ernst, P. and Gailus-Durner, V. and Glatting, K.-H. and Gohla, R. and G{\"o}{\ss}ling, F. and Grote, K. and Heidtke, K. and Herrmann, A. and O Keefe, S. and Kie{\ss}lich, O. and Kolibal, S. and Korbel, J.O. and Lengauer, Thomas and Liebich, I. and van der Linden, M. and Luz, H. and Meissner, K. and von Mering, C. and Mevissen, T. and Mewes, H.-W. and Michael, H. and Mokrejs, M. and M{\"u}ller, T. and Pospisil, H. and Rarey, Matthias and Reich, J.G. and Schneider, R. and Schomburg, D. and Schulze-Kremer, S. and Schwarzer, K. and Sommer, Ingolf and Springstubbe, S. and Suhai, S. and Thoppae, G. and Vingron, M. and Warfsmann, J. and Werner, T. and Wetzler, D. and Wingender, E. and Zimmer, Ralf}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btg398}, LOCALID = {Local-ID: C125673F004B2D7B-56B5613BC7E08ACEC1256E1D0039312A-Lengauer2004}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Bioinformatics}, VOLUME = {20}, NUMBER = {2}, PAGES = {268--270}, }
Endnote
%0 Journal Article %A Crass, T. %A Antes, Iris %A Basekow, R. %A Bork, P. %A Buning, Christian %A Christensen, M. %A Clau&#223;en, H. %A Ebeling, C. %A Ernst, P. %A Gailus-Durner, V. %A Glatting, K.-H. %A Gohla, R. %A G&#246;&#223;ling, F. %A Grote, K. %A Heidtke, K. %A Herrmann, A. %A O Keefe, S. %A Kie&#223;lich, O. %A Kolibal, S. %A Korbel, J.O. %A Lengauer, Thomas %A Liebich, I. %A van der Linden, M. %A Luz, H. %A Meissner, K. %A von Mering, C. %A Mevissen, T. %A Mewes, H.-W. %A Michael, H. %A Mokrejs, M. %A M&#252;ller, T. %A Pospisil, H. %A Rarey, Matthias %A Reich, J.G. %A Schneider, R. %A Schomburg, D. %A Schulze-Kremer, S. %A Schwarzer, K. %A Sommer, Ingolf %A Springstubbe, S. %A Suhai, S. %A Thoppae, G. %A Vingron, M. %A Warfsmann, J. %A Werner, T. %A Wetzler, D. %A Wingender, E. %A Zimmer, Ralf %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Max Planck Society External Organizations External Organizations External Organizations Max Planck Society External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T The Helmholtz Network for Bioinformatics: An Integrative Web Portal for Bioinformatics Resources : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2998-0 %F EDOC: 231282 %F OTHER: Local-ID: C125673F004B2D7B-56B5613BC7E08ACEC1256E1D0039312A-Lengauer2004 %R 10.1093/bioinformatics/btg398 %D 2004 %* Review method: peer-reviewed %J Bioinformatics %V 20 %N 2 %& 268 %P 268 - 270 %I Oxford University Press %C Oxford %@ false
872. Domingues FS, Lengauer T, Sommer I: Protein Structure Prediction and Databases. In Nature Encyclopedia of the Human Genome. Volume 4. Edited by Cooper D. London, UK: Nature Publishing Group; 2004.
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@incollection{DomingLengSommer2004a, TITLE = {Protein Structure Prediction and Databases}, AUTHOR = {Domingues, Francisco S. and Lengauer, Thomas and Sommer, Ingolf}, EDITOR = {Cooper, David}, LANGUAGE = {eng}, ISBN = {0-333-80386-8}, LOCALID = {Local-ID: C125673F004B2D7B-EC6686BEDF0DC150C1256CD1004D7074-DomingLengSommer2004a}, PUBLISHER = {Nature Publishing Group}, ADDRESS = {London, UK}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {Nature Encyclopedia of the Human Genome}, DEBUG = {editor: Cooper, David}, VOLUME = {4}, PAGES = {864--867}, }
Endnote
%0 Book Section %A Domingues, Francisco S. %A Lengauer, Thomas %A Sommer, Ingolf %E Cooper, David %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T Protein Structure Prediction and Databases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-299A-C %F EDOC: 231283 %F OTHER: Local-ID: C125673F004B2D7B-EC6686BEDF0DC150C1256CD1004D7074-DomingLengSommer2004a %I Nature Publishing Group %C London, UK %D 2004 %B Nature Encyclopedia of the Human Genome %E Cooper, David %V 4 %P 864 - 867 %I Nature Publishing Group %C London, UK %@ 0-333-80386-8
873. Domingues FS, Rahnenführer J, Lengauer T: Automated clustering of ensembles of alternative models in protein structure databases. Protein Engineering Design and Selection 2004, 17.
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@article{Domingues2004, TITLE = {Automated clustering of ensembles of alternative models in protein structure databases}, AUTHOR = {Domingues, Francisco S. and Rahnenf{\"u}hrer, J{\"o}rg and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1741-0134}, LOCALID = {Local-ID: C125673F004B2D7B-50FC02518393B14BC1256F69004F6062-Domingues2004}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Protein Engineering Design and Selection}, VOLUME = {17}, PAGES = {537--543}, }
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%0 Journal Article %A Domingues, Francisco S. %A Rahnenf&#252;hrer, J&#246;rg %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated clustering of ensembles of alternative models in protein structure databases : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2A32-E %F EDOC: 232023 %F OTHER: Local-ID: C125673F004B2D7B-50FC02518393B14BC1256F69004F6062-Domingues2004 %D 2004 %* Review method: peer-reviewed %J Protein Engineering Design and Selection %V 17 %& 537 %P 537 - 543 %@ false
874. Eyrisch S: Fun2Struc - A Tool For Predicting Protein Structure Classes from Function Predictions. Universität des Saarlandes; 2004.
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@mastersthesis{Eyrisch2004a, TITLE = {{Fun2Struc} -- A Tool For Predicting Protein Structure Classes from Function Predictions}, AUTHOR = {Eyrisch, Susanne}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2004}, DATE = {2004}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Eyrisch, Susanne %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Fun2Struc - A Tool For Predicting Protein Structure Classes from Function Predictions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0912-5 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2004 %V bachelor %9 bachelor
875. Hahn A, Costello CM, Lu T, Lengauer T, Schreiber S: Expression Analysis for Inflammatory Bowel Disease. Workshop Poster Competition 2004.
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@inproceedings{Hahn2004, TITLE = {Expression Analysis for Inflammatory Bowel Disease}, AUTHOR = {Hahn, Andreas and Costello, Christine M. and Lu, Tim and Lengauer, Thomas and Schreiber, Stefan}, LANGUAGE = {eng}, PUBLISHER = {Poster}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {Workshop Poster Competition}, }
Endnote
%0 Generic %A Hahn, Andreas %A Costello, Christine M. %A Lu, Tim %A Lengauer, Thomas %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Expression Analysis for Inflammatory Bowel Disease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0EE6-3 %D 2004 %B Workshop Poster Competition
876. Hannemann A, Schön JC, Jansen M, Putz H, Lengauer T: Modelling amorphous Si3B3N7: Structure and elastic properties. Physical Review 2004, B 70.
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@article{Lenguaer2004e, TITLE = {Modelling amorphous {Si3B3N7}: Structure and elastic properties}, AUTHOR = {Hannemann, A. and Sch{\"o}n, J.C. and Jansen, M. and Putz, H. and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-DF176B90BD981AA7C1256F870041969C-Lenguaer2004e}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Physical Review}, VOLUME = {B 70}, }
Endnote
%0 Journal Article %A Hannemann, A. %A Sch&#246;n, J.C. %A Jansen, M. %A Putz, H. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Modelling amorphous Si3B3N7: Structure and elastic properties : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-299C-8 %F EDOC: 231285 %F OTHER: Local-ID: C125673F004B2D7B-DF176B90BD981AA7C1256F870041969C-Lenguaer2004e %D 2004 %* Review method: peer-reviewed %J Physical Review %V B 70
877. Hartmann C: Erweiterung des Docking-Programms FlexE durch das Modell der Mean Field-Theorie. Rheinische Friedrich-Wilhelms-Universität Bonn; 2004.
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@mastersthesis{Hartmann2004, TITLE = {{Erweiterung des Docking-Programms {FlexE} durch das Modell der Mean Field-Theorie}}, AUTHOR = {Hartmann, Christoph}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-6FD59C53C9748305C1256FBD003AF6AB-Hartmann2004}, SCHOOL = {Rheinische Friedrich-Wilhelms-Universit{\"a}t Bonn}, ADDRESS = {Bonn}, YEAR = {2004}, DATE = {2004}, }
Endnote
%0 Thesis %A Hartmann, Christoph %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Erweiterung des Docking-Programms FlexE durch das Modell der Mean Field-Theorie : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2A8B-A %F EDOC: 232029 %F OTHER: Local-ID: C125673F004B2D7B-6FD59C53C9748305C1256FBD003AF6AB-Hartmann2004 %I Rheinische Friedrich-Wilhelms-Universit&#228;t Bonn %C Bonn %D 2004 %V master %9 master
878. Hofmann WP, Herrmann E, Kronenberger B, Merkwirth C, Welsch C, Lengauer T, Zeuzem S, Sarrazin C: Association of HCV-related mixed cryoglobulinemia with specific mutational patterns of the HCV E2 protein and CD81 expression on peripheral B lymphocytes. Blood 2004, 104.
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@article{Lengauer2004f, TITLE = {Association of {HCV}-related mixed cryoglobulinemia with specific mutational patterns of the {HCV} E2 protein and {CD81} expression on peripheral B lymphocytes}, AUTHOR = {Hofmann, W.P. and Herrmann, E. and Kronenberger, B. and Merkwirth, Christian and Welsch, Christoph and Lengauer, Thomas and Zeuzem, S. and Sarrazin, C.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-64BC5D46639E66F7C1256F870041CA21-Lengauer2004f}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Blood}, VOLUME = {104}, PAGES = {1228--1229}, }
Endnote
%0 Journal Article %A Hofmann, W.P. %A Herrmann, E. %A Kronenberger, B. %A Merkwirth, Christian %A Welsch, Christoph %A Lengauer, Thomas %A Zeuzem, S. %A Sarrazin, C. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Association of HCV-related mixed cryoglobulinemia with specific mutational patterns of the HCV E2 protein and CD81 expression on peripheral B lymphocytes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2A30-1 %F EDOC: 231934 %F OTHER: Local-ID: C125673F004B2D7B-64BC5D46639E66F7C1256F870041CA21-Lengauer2004f %D 2004 %* Review method: peer-reviewed %J Blood %V 104 %& 1228 %P 1228 - 1229
879. James J, Das AV, Rahnenführer J, Ahmad I: Cellular and Molecular Characterization of Early and Late Retinal Stem Cells/Progenitors: Differential Regulation of Proliferation and Context Dependent Role of Notch Signaling. Journal of Neurobiology 2004, 61.
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@article{Rahnenfuhrer2004b, TITLE = {Cellular and Molecular Characterization of Early and Late Retinal Stem Cells/Progenitors: Differential Regulation of Proliferation and Context Dependent Role of Notch Signaling}, AUTHOR = {James, Jackson and Das, Ani V. and Rahnenf{\"u}hrer, J{\"o}rg and Ahmad, Iqbal}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-43E8726E1937CDBEC1256ED1004FF9B9-Rahnenf&#252;hrer2004b}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Journal of Neurobiology}, VOLUME = {61}, PAGES = {359--376}, }
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%0 Journal Article %A James, Jackson %A Das, Ani V. %A Rahnenf&#252;hrer, J&#246;rg %A Ahmad, Iqbal %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Cellular and Molecular Characterization of Early and Late Retinal Stem Cells/Progenitors: Differential Regulation of Proliferation and Context Dependent Role of Notch Signaling : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-299E-4 %F EDOC: 231287 %F OTHER: Local-ID: C125673F004B2D7B-43E8726E1937CDBEC1256ED1004FF9B9-Rahnenf&#252;hrer2004b %D 2004 %* Review method: peer-reviewed %J Journal of Neurobiology %V 61 %& 359 %P 359 - 376
880. James J, Das AV, Zhao X, Rahnenführer J, Ahmad I: Identification of c-Kit receptor as a regulator of adult neural stem cells in the mammalian eye: interactions with Notch signaling. Developmental Biology 2004, 273.
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@article{Rahnenfuhrer2004c, TITLE = {Identification of c-Kit receptor as a regulator of adult neural stem cells in the mammalian eye: interactions with Notch signaling}, AUTHOR = {James, Jackson and Das, Ani V. and Zhao, Xing and Rahnenf{\"u}hrer, J{\"o}rg and Ahmad, Iqbal}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7D6B3674D6E40111C1256ED10051442B-Rahnenf&#252;hrer2004c}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Developmental Biology}, VOLUME = {273}, PAGES = {87--105}, }
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%0 Journal Article %A James, Jackson %A Das, Ani V. %A Zhao, Xing %A Rahnenf&#252;hrer, J&#246;rg %A Ahmad, Iqbal %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of c-Kit receptor as a regulator of adult neural stem cells in the mammalian eye: interactions with Notch signaling : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-29A1-9 %F EDOC: 231288 %F OTHER: Local-ID: C125673F004B2D7B-7D6B3674D6E40111C1256ED10051442B-Rahnenf&#252;hrer2004c %D 2004 %* Review method: peer-reviewed %J Developmental Biology %V 273 %& 87 %P 87 - 105
881. Lengauer T, Lemmen C, Rarey M, Zimmermann M: Novel technologies for virtual screening. Drug Discovery Today 2004, 9.
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@article{Lengauer2004c, TITLE = {Novel technologies for virtual screening}, AUTHOR = {Lengauer, Thomas and Lemmen, Christian and Rarey, Matthias and Zimmermann, M.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-FABC1F852C0DEE17C1256F87003F8E7C-Lengauer2004c}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Drug Discovery Today}, VOLUME = {9}, PAGES = {27--34}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Lemmen, Christian %A Rarey, Matthias %A Zimmermann, M. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Novel technologies for virtual screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-29A5-1 %F EDOC: 231289 %F OTHER: Local-ID: C125673F004B2D7B-FABC1F852C0DEE17C1256F87003F8E7C-Lengauer2004c %D 2004 %* Review method: peer-reviewed %J Drug Discovery Today %V 9 %& 27 %P 27 - 34
882. Merkwirth C, Mauser H, Schulz-Gasch T, Roche O, Stahl M, Lengauer T: Ensemble Methods for Classification in Cheminformatics. Journal of Chemical Information and Modeling 2004, 44.
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@article{Merkwirth2004b, TITLE = {Ensemble Methods for Classification in Cheminformatics}, AUTHOR = {Merkwirth, Christian and Mauser, Harald and Schulz-Gasch, Tanja and Roche, Olivier and Stahl, Martin and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1549-9596}, DOI = {10.1021/ci049850e}, LOCALID = {Local-ID: C125673F004B2D7B-CBFB07FF43608B39C1256F93003CBE59-Merkwirth2004b}, PUBLISHER = {American Chemical Society}, ADDRESS = {Washington, D.C.}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Journal of Chemical Information and Modeling}, VOLUME = {44}, NUMBER = {6}, PAGES = {1971--1978}, }
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%0 Journal Article %A Merkwirth, Christian %A Mauser, Harald %A Schulz-Gasch, Tanja %A Roche, Olivier %A Stahl, Martin %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Ensemble Methods for Classification in Cheminformatics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-29A9-A %F EDOC: 231291 %F OTHER: Local-ID: C125673F004B2D7B-CBFB07FF43608B39C1256F93003CBE59-Merkwirth2004b %R 10.1021/ci049850e %D 2004 %* Review method: peer-reviewed %J Journal of Chemical Information and Modeling %O J. Chem. Inf. Model. %V 44 %N 6 %& 1971 %P 1971 - 1978 %I American Chemical Society %C Washington, D.C. %@ false
883. Merkwirth C, Bröcker J, Ogorzalek M, Wichard JD: Finite iteration DT-CNN - new design and operation principles. In Proceedings (ISCAS-04) : 2004 IEEE International Symposium on Circuits and Systems - Vol 5, Blind signal processing, computer-aided network design, invited sessions, neural sytems and applications, power systems and power electronic circuits. IEEE; 2004.
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@inproceedings{Merkwirth2004a, TITLE = {Finite iteration {DT}-{CNN} -- new design and operation principles}, AUTHOR = {Merkwirth, Christian and Br{\"o}cker, J. and Ogorzalek, Maciej and Wichard, J.D.}, LANGUAGE = {eng}, ISBN = {0-7803-8251-X}, LOCALID = {Local-ID: C125673F004B2D7B-145A01691936A2A9C1256F93003C189C-Merkwirth2004a}, PUBLISHER = {IEEE}, YEAR = {2005}, DATE = {2004}, BOOKTITLE = {Proceedings (ISCAS-04) : 2004 IEEE International Symposium on Circuits and Systems. -- Vol. 5, Blind signal processing, computer-aided network design, invited sessions, neural sytems and applications, power systems and power electronic circuits}, PAGES = {504--507}, }
Endnote
%0 Conference Proceedings %A Merkwirth, Christian %A Br&#246;cker, J. %A Ogorzalek, Maciej %A Wichard, J.D. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society %T Finite iteration DT-CNN - new design and operation principles : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-29A7-E %F EDOC: 231290 %F OTHER: Local-ID: C125673F004B2D7B-145A01691936A2A9C1256F93003C189C-Merkwirth2004a %I IEEE %D 2004 %B Untitled Event %Z date of event: 2005-05-23 - %C Vancouver, Canada %B Proceedings (ISCAS-04) : 2004 IEEE International Symposium on Circuits and Systems. - Vol. 5, Blind signal processing, computer-aided network design, invited sessions, neural sytems and applications, power systems and power electronic circuits %P 504 - 507 %I IEEE %@ 0-7803-8251-X
884. Öhsen von N, Sommer I, Zimmer R, Lengauer T: Arby: Automatic Protein Structure Prediction Using Profile-profile Alignment and Confidence Measures. Bioinformatics 2004, 20.
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@article{Lengauer2004b, TITLE = {Arby: Automatic Protein Structure Prediction Using Profile-profile Alignment and Confidence Measures}, AUTHOR = {{\"O}hsen von, Niklas and Sommer, Ingolf and Zimmer, Ralf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/bth232}, LOCALID = {Local-ID: C125673F004B2D7B-9BA9D096E9A22697C1256F87003F1474-Lengauer2004b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Bioinformatics}, VOLUME = {20}, NUMBER = {14}, PAGES = {2228--2235}, }
Endnote
%0 Journal Article %A &#214;hsen von, Niklas %A Sommer, Ingolf %A Zimmer, Ralf %A Lengauer, Thomas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Arby: Automatic Protein Structure Prediction Using Profile-profile Alignment and Confidence Measures : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-29AB-6 %F EDOC: 231292 %F OTHER: Local-ID: C125673F004B2D7B-9BA9D096E9A22697C1256F87003F1474-Lengauer2004b %R 10.1093/bioinformatics/bth232 %D 2004 %* Review method: peer-reviewed %J Bioinformatics %V 20 %N 14 %& 2228 %P 2228 - 2235 %I Oxford University Press %C Oxford %@ false
885. Prlic A, Domingues FS, Lackner P, Sippl MJ: WILMA-automated annotation of protein sequences. Bioinformatics 2004, 20.
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@article{Domingues2004a, TITLE = {{WILMA}-automated annotation of protein sequences}, AUTHOR = {Prlic, Andreas and Domingues, Francisco S. and Lackner, Peter and Sippl, Manfred J.}, LANGUAGE = {eng}, ISSN = {1367-4803}, LOCALID = {Local-ID: C125673F004B2D7B-B3D6280BB2DADCAFC1256E160053410D-Domingues2004a}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Bioinformatics}, VOLUME = {20}, PAGES = {127--128}, }
Endnote
%0 Journal Article %A Prlic, Andreas %A Domingues, Francisco S. %A Lackner, Peter %A Sippl, Manfred J. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T WILMA-automated annotation of protein sequences : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2B82-3 %F EDOC: 231829 %F OTHER: Local-ID: C125673F004B2D7B-B3D6280BB2DADCAFC1256E160053410D-Domingues2004a %D 2004 %* Review method: peer-reviewed %J Bioinformatics %V 20 %& 127 %P 127 - 128 %@ false
886. Rahnenführer J, Domingues FS, Maydt J, Lengauer T: Calculating the statistical significance of changes in pathway activity from gene expression data. Statistical Applications in Genetics and Molecular Biology 2004, 3.
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@article{Rahnenfuhrer2004a, TITLE = {Calculating the statistical significance of changes in pathway activity from gene expression data}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Domingues, Francisco S. and Maydt, Jochen and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1544-6115}, LOCALID = {Local-ID: C125673F004B2D7B-807BF095BA983005C1256EB50045769D-Rahnenfuhrer2004a}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Statistical Applications in Genetics and Molecular Biology}, VOLUME = {3}, }
Endnote
%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %A Domingues, Francisco S. %A Maydt, Jochen %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Calculating the statistical significance of changes in pathway activity from gene expression data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-29AD-2 %F EDOC: 231302 %F OTHER: Local-ID: C125673F004B2D7B-807BF095BA983005C1256EB50045769D-Rahnenfuhrer2004a %D 2004 %J Statistical Applications in Genetics and Molecular Biology %V 3 %@ false
887. Rahnenführer J, Bozinov D: Hybrid clustering for microarray image analysis combining intensity and shape features. BMC Bioinformatics 2004, 5.
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@article{Rahnenfuhrer2004d, TITLE = {Hybrid clustering for microarray image analysis combining intensity and shape features}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Bozinov, Daniel}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6E51307B56D1D090C1256F8D00618956-Rahnenf&#252;hrer2004d}, YEAR = {2004}, DATE = {2004}, JOURNAL = {BMC Bioinformatics}, VOLUME = {5}, PAGES = {1--11}, }
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%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %A Bozinov, Daniel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Hybrid clustering for microarray image analysis combining intensity and shape features : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2AB9-2 %F EDOC: 231889 %F OTHER: Local-ID: C125673F004B2D7B-6E51307B56D1D090C1256F8D00618956-Rahnenf&#252;hrer2004d %D 2004 %* Review method: peer-reviewed %J BMC Bioinformatics %V 5 %& 1 %P 1 - 11
888. Sander O: Local sequence-structure relationships in proteins. Friedrich-Alexander-Universität Erlangen-Nürnberg; 2004.
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@mastersthesis{Sander2004, TITLE = {Local sequence-structure relationships in proteins}, AUTHOR = {Sander, Oliver}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7709CBCAA0BE5668C1256FB70046E7D7-Sander2004}, SCHOOL = {Friedrich-Alexander-Universit{\"a}t Erlangen-N{\"u}rnberg}, ADDRESS = {Erlangen-N{\"u}rnberg}, YEAR = {2004}, DATE = {2004}, TYPE = {Diploma thesis}, }
Endnote
%0 Thesis %A Sander, Oliver %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Local sequence-structure relationships in proteins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2AD6-F %F EDOC: 232020 %F OTHER: Local-ID: C125673F004B2D7B-7709CBCAA0BE5668C1256FB70046E7D7-Sander2004 %I Friedrich-Alexander-Universit&#228;t Erlangen-N&#252;rnberg %C Erlangen-N&#252;rnberg %D 2004 %V diploma %9 diploma
889. Schlicker A: Automated Differential Analysis of Proteomes. Universität des Saarlandes; 2004.
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@mastersthesis{Schlicker2004a, TITLE = {Automated Differential Analysis of Proteomes}, AUTHOR = {Schlicker, Andreas}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2004}, DATE = {2004}, TYPE = {Bachelor's thesis}, }
Endnote
%0 Thesis %A Schlicker, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated Differential Analysis of Proteomes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0019-FF8C-8 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2004 %V bachelor %9 bachelor
890. Sing T, Beerenwinkel N, Lengauer T: Learning Mixtures of Localized Rules by Maximizing the Area under the ROC Curve. In ROCAI-2004: 1st International Workshop on ROC Analysis in Artificial Intelligence. University of Valencia; 2004.
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@inproceedings{Sing2004b, TITLE = {Learning Mixtures of Localized Rules by Maximizing the Area under the {ROC} Curve}, AUTHOR = {Sing, Tobias and Beerenwinkel, Niko and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-0CACCD1AEDCF0E0AC1256F8F006D8ABB-Sing2004b}, PUBLISHER = {University of Valencia}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {ROCAI-2004: 1st International Workshop on ROC Analysis in Artificial Intelligence}, EDITOR = {Hern{\'a}ndez-Orallo, Jos{\'e} and Ferri, C{\'e}sar and Lachiche, Nicolas and Falch, Peter A.}, PAGES = {89--96}, ADDRESS = {Valencia, Spain}, }
Endnote
%0 Conference Proceedings %A Sing, Tobias %A Beerenwinkel, Niko %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Learning Mixtures of Localized Rules by Maximizing the Area under the ROC Curve : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2AD2-8 %F EDOC: 231945 %F OTHER: Local-ID: C125673F004B2D7B-0CACCD1AEDCF0E0AC1256F8F006D8ABB-Sing2004b %D 2004 %B 1st International Workshop on ROC Analysis in Artificial Intelligence %Z date of event: 2004-08-22 - 2004-08-22 %C Valencia, Spain %B ROCAI-2004: 1st International Workshop on ROC Analysis in Artificial Intelligence %E Hern&#225;ndez-Orallo, Jos&#233;; Ferri, C&#233;sar; Lachiche, Nicolas; Falch, Peter A. %P 89 - 96 %I University of Valencia
891. Sing T: Learning localized rule mixtures by maximizing the area under the ROC curve, with an application to the prediction of HIV-1 coreceptor usage. Albert-Ludwigs-Universität; 2004.
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@mastersthesis{Sing2004a, TITLE = {Learning localized rule mixtures by maximizing the area under the {ROC} curve, with an application to the prediction of {HIV}-1 coreceptor usage}, AUTHOR = {Sing, Tobias}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-CADB1B353BE24C44C1256FB70051E86E-Sing2004a}, SCHOOL = {Albert-Ludwigs-Universit{\"a}t}, ADDRESS = {Freiburg}, YEAR = {2004}, DATE = {2004}, }
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%0 Thesis %A Sing, Tobias %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Learning localized rule mixtures by maximizing the area under the ROC curve, with an application to the prediction of HIV-1 coreceptor usage : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2AD0-C %F EDOC: 232012 %F OTHER: Local-ID: C125673F004B2D7B-CADB1B353BE24C44C1256FB70051E86E-Sing2004a %I Albert-Ludwigs-Universit&#228;t %C Freiburg %D 2004 %V master %9 master
892. Sommer I, Rahnenführer J, Domingues FS, de Lichtenberg U, Lengauer T: Predicting Protein Structure Classes from Function Predictions. Bioinformatics 2004, 20.
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@article{Sommer2004a, TITLE = {Predicting Protein Structure Classes from Function Predictions}, AUTHOR = {Sommer, Ingolf and Rahnenf{\"u}hrer, J{\"o}rg and Domingues, Francisco S. and de Lichtenberg, Ulrik and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btg483}, LOCALID = {Local-ID: C125673F004B2D7B-01BD8B1507F2B18DC1256E150061DC51-Sommer2004a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Bioinformatics}, VOLUME = {20}, NUMBER = {5}, PAGES = {770--776}, }
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%0 Journal Article %A Sommer, Ingolf %A Rahnenf&#252;hrer, J&#246;rg %A Domingues, Francisco S. %A de Lichtenberg, Ulrik %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Predicting Protein Structure Classes from Function Predictions : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2B01-3 %F EDOC: 231966 %F OTHER: Local-ID: C125673F004B2D7B-01BD8B1507F2B18DC1256E150061DC51-Sommer2004a %R 10.1093/bioinformatics/btg483 %D 2004 %* Review method: peer-reviewed %J Bioinformatics %V 20 %N 5 %& 770 %P 770 - 776 %I Oxford University Press %C Oxford %@ false
893. Steffen A, Kämper A, Lengauer T: Development of a new tool for predicting the structure of host-guest complexes. 2004.
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@inproceedings{Steffen2004a, TITLE = {Development of a new tool for predicting the structure of host-guest complexes}, AUTHOR = {Steffen, Andreas and K{\"a}mper, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-9205A6515B1747A1C1256F9400339623-Steffen2004a}, YEAR = {2004}, DATE = {2004}, }
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%0 Generic %A Steffen, Andreas %A K&#228;mper, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Development of a new tool for predicting the structure of host-guest complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-256F-E %F EDOC: 231297 %F OTHER: Local-ID: C125673F004B2D7B-9205A6515B1747A1C1256F9400339623-Steffen2004a %D 2004 %Z name of event: Untitled Event %Z date of event: 2004-10-05 - %Z place of event: Regensburg, Germany
894. Steffen A, Kämper A, Lengauer T: FlexR - Predicting the structure of host-guest complexes. 2004.
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@inproceedings{Steffen2004, TITLE = {{FlexR} -- Predicting the structure of host-guest complexes}, AUTHOR = {Steffen, Andreas and K{\"a}mper, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-AE7C956D7E72AD19C1256F940033AB01-Steffen2004}, YEAR = {2004}, DATE = {2004}, }
Endnote
%0 Generic %A Steffen, Andreas %A K&#228;mper, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T FlexR - Predicting the structure of host-guest complexes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2571-6 %F EDOC: 231298 %F OTHER: Local-ID: C125673F004B2D7B-AE7C956D7E72AD19C1256F940033AB01-Steffen2004 %D 2004 %Z name of event: Untitled Event %Z date of event: 2004-10-06 - %Z place of event: Regensburg, Germany
895. Stoll M, Corneliussen B, Costello CM, Waetzig GH, Mellgard B, Koch WA, Rosenstiel P, Albrecht M, Croucher PJP, Seegert D, Nikolaus S, Hampe J, Lengauer T, Pierrou S, Foelsch UR, Mathew CG, Lagerstrom-Fermer M, Schreiber S: Genetic variation in DLG5 is associated with inflammatory bowel disease. Nature Genetics 2004, 36.
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@article{Albrecht2004b, TITLE = {Genetic variation in {DLG5} is associated with inflammatory bowel disease}, AUTHOR = {Stoll, Monika and Corneliussen, Brit and Costello, Christine M. and Waetzig, Georg H. and Mellgard, Bjorn and Koch, W. Andreas and Rosenstiel, Philip and Albrecht, Mario and Croucher, Peter J.P. and Seegert, Dirk and Nikolaus, Susanna and Hampe, Jochen and Lengauer, Thomas and Pierrou, Stefan and Foelsch, Ulrich R. and Mathew, Christopher G. and Lagerstrom-Fermer, Maria and Schreiber, Stefan}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-292FD7E8268DC713C1256E750058DF8F-Albrecht2004b}, YEAR = {2004}, DATE = {2004}, JOURNAL = {Nature Genetics}, VOLUME = {36}, PAGES = {376--380}, }
Endnote
%0 Journal Article %A Stoll, Monika %A Corneliussen, Brit %A Costello, Christine M. %A Waetzig, Georg H. %A Mellgard, Bjorn %A Koch, W. Andreas %A Rosenstiel, Philip %A Albrecht, Mario %A Croucher, Peter J.P. %A Seegert, Dirk %A Nikolaus, Susanna %A Hampe, Jochen %A Lengauer, Thomas %A Pierrou, Stefan %A Foelsch, Ulrich R. %A Mathew, Christopher G. %A Lagerstrom-Fermer, Maria %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genetic variation in DLG5 is associated with inflammatory bowel disease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2AAC-F %F EDOC: 232053 %F OTHER: Local-ID: C125673F004B2D7B-292FD7E8268DC713C1256E750058DF8F-Albrecht2004b %D 2004 %* Review method: peer-reviewed %J Nature Genetics %V 36 %& 376 %P 376 - 380
896. Thornton J, Bourne P, Gilbert D, Goble C, Goldman N, Gribskov M, Hide W, Higgins D, Kanehisa M, Lengauer T, Linial M, Myers G, Quackenbush J, Rebholz-Schuhmann D, Rost B, Sowdhamini R, Valencia A, Vingron M, Xu Y (Eds): Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computional Biology 2004 (ISMB/ECCB 2004). Oxford University Press; 2004.
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@proceedings{Lengauer2004g, TITLE = {Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computional Biology 2004 (ISMB/ECCB 2004)}, EDITOR = {Thornton, J. and Bourne, P. and Gilbert, D. and Goble, C. and Goldman, N. and Gribskov, M. and Hide, W. and Higgins, D. and Kanehisa, M. and Lengauer, Thomas and Linial, M. and Myers, G. and Quackenbush, J. and Rebholz-Schuhmann, D. and Rost, B. and Sowdhamini, R. and Valencia, A. and Vingron, M. and Xu, Y.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-CE8EEF730652679EC1256F87004223F9-Lengauer2004g}, PUBLISHER = {Oxford University Press}, YEAR = {2004}, DATE = {2004}, PAGES = {395}, }
Endnote
%0 Conference Proceedings %E Thornton, J. %E Bourne, P. %E Gilbert, D. %E Goble, C. %E Goldman, N. %E Gribskov, M. %E Hide, W. %E Higgins, D. %E Kanehisa, M. %E Lengauer, Thomas %E Linial, M. %E Myers, G. %E Quackenbush, J. %E Rebholz-Schuhmann, D. %E Rost, B. %E Sowdhamini, R. %E Valencia, A. %E Vingron, M. %E Xu, Y. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computional Biology 2004 (ISMB/ECCB 2004) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2B03-0 %F EDOC: 232087 %F OTHER: Local-ID: C125673F004B2D7B-CE8EEF730652679EC1256F87004223F9-Lengauer2004g %I Oxford University Press %D 2004 %B Untitled Event %Z date of event: 2004-07-31 - %D 2004 %C Glasgow, UK %P 395
897. Trajkovski I: Analysis of Protein Binding Pocket Flexibility. Universität des Saarlandes; 2004.
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@mastersthesis{Trajkovski2004, TITLE = {Analysis of Protein Binding Pocket Flexibility}, AUTHOR = {Trajkovski, Igor}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-FE9E2234859B9C8BC1256FBD005A29E8-Trajkovski2004}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2004}, DATE = {2004}, }
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%0 Thesis %A Trajkovski, Igor %Y Antes, Iris %A referee: Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analysis of Protein Binding Pocket Flexibility : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2A1B-4 %F EDOC: 232004 %F OTHER: Local-ID: C125673F004B2D7B-FE9E2234859B9C8BC1256FBD005A29E8-Trajkovski2004 %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2004 %V master %9 master
898. Wichard JD, Ogorzalek M, Merkwirth C, Bröcker J: Finite iteration DT-CNN with stationary templates. In Proceedings of the 8th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2004). Amulett 98 Kft; 2004.
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@inproceedings{Merkwirth2004d, TITLE = {Finite iteration {DT}-{CNN} with stationary templates}, AUTHOR = {Wichard, J.D. and Ogorzalek, Maciej and Merkwirth, Christian and Br{\"o}cker, J.}, LANGUAGE = {eng}, ISBN = {963-311-357-1}, LOCALID = {Local-ID: C125673F004B2D7B-F560E5B375574106C1256F93003DA205-Merkwirth2004d}, PUBLISHER = {Amulett 98 Kft}, YEAR = {2004}, DATE = {2004}, BOOKTITLE = {Proceedings of the 8th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2004)}, PAGES = {459--464}, }
Endnote
%0 Conference Proceedings %A Wichard, J.D. %A Ogorzalek, Maciej %A Merkwirth, Christian %A Br&#246;cker, J. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Finite iteration DT-CNN with stationary templates : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2A9F-D %F EDOC: 232073 %F OTHER: Local-ID: C125673F004B2D7B-F560E5B375574106C1256F93003DA205-Merkwirth2004d %I Amulett 98 Kft %D 2004 %B Untitled Event %Z date of event: 2004-07-22 - %C Budapest, Hungary %B Proceedings of the 8th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2004) %P 459 - 464 %I Amulett 98 Kft %@ 963-311-357-1
2003
899. Albrecht M, Domingues FS, Schreiber S, Lengauer T: Identification of mammalian orthologs associates PYPAF5 with distinct functional roles. FEBS Letters 2003, 538.
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@article{Albrecht2003a, TITLE = {Identification of mammalian orthologs associates {PYPAF5} with distinct functional roles}, AUTHOR = {Albrecht, Mario and Domingues, Francisco S. and Schreiber, Stefan and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-8CBFB5CA06B555D3C1256D260030D4E5-Albrecht2003a}, YEAR = {2003}, DATE = {2003}, JOURNAL = {FEBS Letters}, VOLUME = {538}, PAGES = {173--177}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Domingues, Francisco S. %A Schreiber, Stefan %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of mammalian orthologs associates PYPAF5 with distinct functional roles : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D29-E %F EDOC: 202011 %F OTHER: Local-ID: C125673F004B2D7B-8CBFB5CA06B555D3C1256D260030D4E5-Albrecht2003a %D 2003 %* Review method: peer-reviewed %J FEBS Letters %V 538 %& 173 %P 173 - 177
900. Albrecht M, Lengauer T, Schreiber S: Disease-associated Variants in PYPAF1 and NOD2 Result in Similar Alterations of Conserved Sequence. Bioinformatics 2003, 19.
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@article{Albrecht2003c, TITLE = {Disease-associated Variants in {PYPAF1} and {NOD2} Result in Similar Alterations of Conserved Sequence}, AUTHOR = {Albrecht, Mario and Lengauer, Thomas and Schreiber, Stefan}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btg370}, LOCALID = {Local-ID: C125673F004B2D7B-B552BF73F6D9D403C1256CD1005228AD-Albrecht2003c}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Bioinformatics}, VOLUME = {19}, NUMBER = {17}, PAGES = {2171--2175}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Lengauer, Thomas %A Schreiber, Stefan %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Disease-associated Variants in PYPAF1 and NOD2 Result in Similar Alterations of Conserved Sequence : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2CBA-0 %F EDOC: 201895 %F OTHER: Local-ID: C125673F004B2D7B-B552BF73F6D9D403C1256CD1005228AD-Albrecht2003c %R 10.1093/bioinformatics/btg370 %D 2003 %* Review method: peer-reviewed %J Bioinformatics %V 19 %N 17 %& 2171 %P 2171 - 2175 %I Oxford University Press %C Oxford %@ false
901. Albrecht M, Lengauer T: Pyranose Oxidase Identified as a Member of the GMC Oxidoreductase Family. Bioinformatics 2003, 19.
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@article{Albrecht2003b, TITLE = {Pyranose Oxidase Identified as a Member of the {GMC} Oxidoreductase Family}, AUTHOR = {Albrecht, Mario and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btg140}, LOCALID = {Local-ID: C125673F004B2D7B-4A85AA1C6D144704C1256D26002FAE2B-Albrecht2003b}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Bioinformatics}, VOLUME = {19}, NUMBER = {10}, PAGES = {1216--1220}, }
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%0 Journal Article %A Albrecht, Mario %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Pyranose Oxidase Identified as a Member of the GMC Oxidoreductase Family : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2DD7-4 %F EDOC: 202012 %F OTHER: Local-ID: C125673F004B2D7B-4A85AA1C6D144704C1256D26002FAE2B-Albrecht2003b %R 10.1093/bioinformatics/btg140 %D 2003 %* Review method: peer-reviewed %J Bioinformatics %V 19 %N 10 %& 1216 %P 1216 - 1220 %I Oxford University Press %C Oxford %@ false
902. Albrecht M, Tosatto SCE, Lengauer T, Valle G: Simple consensus procedures are effective and sufficient in secondary structure prediction. Protein Engineering 2003, 16.
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@article{Albrecht2003e, TITLE = {Simple consensus procedures are effective and sufficient in secondary structure prediction}, AUTHOR = {Albrecht, Mario and Tosatto, Silvio C.E. and Lengauer, Thomas and Valle, Giorgio}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-79E6A6056587CD69C1256D7B00520160-Albrecht2003e}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Protein Engineering}, VOLUME = {16}, PAGES = {459--462}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Tosatto, Silvio C.E. %A Lengauer, Thomas %A Valle, Giorgio %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Simple consensus procedures are effective and sufficient in secondary structure prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E11-9 %F EDOC: 202010 %F OTHER: Local-ID: C125673F004B2D7B-79E6A6056587CD69C1256D7B00520160-Albrecht2003e %D 2003 %* Review method: peer-reviewed %J Protein Engineering %V 16 %& 459 %P 459 - 462
903. Albrecht M, Domingues FS, Schreiber S, Lengauer T: Structural localization of disease-associated sequence variations in the NACHT and LRR domains of PYPAF1 and NOD2. FEBS Letters 2003, 554.
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@article{Albrecht2003f, TITLE = {Structural localization of disease-associated sequence variations in the {NACHT} and {LRR} domains of {PYPAF1} and {NOD2}}, AUTHOR = {Albrecht, Mario and Domingues, Francisco S. and Schreiber, Stefan and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-6577D24DE78A2632C1256DF1004440DB-Albrecht2003f}, YEAR = {2003}, DATE = {2003}, JOURNAL = {FEBS Letters}, VOLUME = {554}, PAGES = {520--528}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Domingues, Francisco S. %A Schreiber, Stefan %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural localization of disease-associated sequence variations in the NACHT and LRR domains of PYPAF1 and NOD2 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E37-6 %F EDOC: 202004 %F OTHER: Local-ID: C125673F004B2D7B-6577D24DE78A2632C1256DF1004440DB-Albrecht2003f %D 2003 %* Review method: peer-reviewed %J FEBS Letters %V 554 %& 520 %P 520 - 528
904. Albrecht M, Hoffmann D, Evert BO, Schmitt I, Wüllner U, Lengauer T: Structural modeling of ataxin-3 reveals distant homology to adaptins. Proteins: Structure, Function, and Genetics 2003, 50.
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@article{Albrecht2003d, TITLE = {Structural modeling of ataxin-3 reveals distant homology to adaptins}, AUTHOR = {Albrecht, Mario and Hoffmann, Daniel and Evert, Bernd O. and Schmitt, Ina and W{\"u}llner, Ullrich and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-40E6A874E6223F14C1256C7C00473559-Albrecht2003d}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Proteins: Structure, Function, and Genetics}, VOLUME = {50}, PAGES = {355--370}, }
Endnote
%0 Journal Article %A Albrecht, Mario %A Hoffmann, Daniel %A Evert, Bernd O. %A Schmitt, Ina %A W&#252;llner, Ullrich %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Structural modeling of ataxin-3 reveals distant homology to adaptins : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E39-2 %F EDOC: 202020 %F OTHER: Local-ID: C125673F004B2D7B-40E6A874E6223F14C1256C7C00473559-Albrecht2003d %D 2003 %* Review method: peer-reviewed %J Proteins: Structure, Function, and Genetics %V 50 %& 355 %P 355 - 370
905. Antes I, Lengauer T, Müller U, Ulmschneider S, Hartmann R: Docking into the Homology Models of CYP11B1 and CYP11B2. Proceedings of the German Conference on Bioinformatics (GCB 2003) 2003.
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@inproceedings{Antes2003, TITLE = {Docking into the Homology Models of {CYP11B1} and {CYP11B2}}, AUTHOR = {Antes, Iris and Lengauer, Thomas and M{\"u}ller, Ursula and Ulmschneider, Sarah and Hartmann, Rolf}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-F00D8C73AD41BD34C1256E1A005D0933-Antes2003}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {Proceedings of the German Conference on Bioinformatics (GCB 2003)}, ADDRESS = {Munich, Germany}, }
Endnote
%0 Generic %A Antes, Iris %A Lengauer, Thomas %A M&#252;ller, Ursula %A Ulmschneider, Sarah %A Hartmann, Rolf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Docking into the Homology Models of CYP11B1 and CYP11B2 : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-28E6-8 %F EDOC: 201836 %F OTHER: Local-ID: C125673F004B2D7B-F00D8C73AD41BD34C1256E1A005D0933-Antes2003 %D 2003 %Z name of event: German Conference on Bioinformatics 2003 %Z date of event: 2003-10-12 - 2003-10-14 %Z place of event: Munich, Germany %B Proceedings of the German Conference on Bioinformatics
906. Antes I, Wang H, Chandler D, Oster G: The unbinding of ATP from F1-ATPase. Biophysical Journal 2003, 85.
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@article{Antes2003a, TITLE = {The unbinding of {ATP} from F1-{{ATP}ase}}, AUTHOR = {Antes, Iris and Wang, Hongyun and Chandler, David and Oster, George}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-B204BD3307B485E6C1256D26003E518A-Antes2003a}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Biophysical Journal}, VOLUME = {85}, PAGES = {695--706}, }
Endnote
%0 Journal Article %A Antes, Iris %A Wang, Hongyun %A Chandler, David %A Oster, George %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The unbinding of ATP from F1-ATPase : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E62-4 %F EDOC: 201896 %F OTHER: Local-ID: C125673F004B2D7B-B204BD3307B485E6C1256D26003E518A-Antes2003a %D 2003 %* Review method: peer-reviewed %J Biophysical Journal %V 85 %& 695 %P 695 - 706
907. Beerenwinkel N, Kaiser R, Rahnenführer J, Däumer M, Hoffmann D, Selbig J, Lengauer T: Tree models for the evolution of drug resistance. In XII International HIV Drug resistance Workshop. Edited by Boucher C, Mellors J, Larder B, Richman D. International Medical Press; 2003. [Antiviral Therapy]
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@inproceedings{Beerenwinkel2003e, TITLE = {Tree models for the evolution of drug resistance}, AUTHOR = {Beerenwinkel, Niko and Kaiser, Rolf and Rahnenf{\"u}hrer, J{\"o}rg and D{\"a}umer, Martin and Hoffmann, Daniel and Selbig, Joachim and Lengauer, Thomas}, EDITOR = {Boucher, Charles and Mellors, John and Larder, Brendan and Richman, Douglas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-ADC69F7ACB586F5FC1256E16004A8AAE-Beerenwinkel2003e}, PUBLISHER = {International Medical Press}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {XII International HIV Drug resistance Workshop}, PAGES = {S107--S107}, SERIES = {Antiviral Therapy}, }
Endnote
%0 Conference Proceedings %A Beerenwinkel, Niko %A Kaiser, Rolf %A Rahnenf&#252;hrer, J&#246;rg %A D&#228;umer, Martin %A Hoffmann, Daniel %A Selbig, Joachim %A Lengauer, Thomas %E Boucher, Charles %E Mellors, John %E Larder, Brendan %E Richman, Douglas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Tree models for the evolution of drug resistance : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E77-5 %F EDOC: 202033 %F OTHER: Local-ID: C125673F004B2D7B-ADC69F7ACB586F5FC1256E16004A8AAE-Beerenwinkel2003e %D 2003 %B Untitled Event %Z date of event: 2003-06-10 - 2003-06-14 %C Los Cabos, Mexico %B XII International HIV Drug resistance Workshop %P S107 - S107 %I International Medical Press %B Antiviral Therapy
908. Beerenwinkel N, Däumer M, Kaiser R, Walter H, Korn K, Hoffmann D, Selbig J, Lengauer T: Estimating effective drug combinations against drug-resistant mutants from genotypes. In Proceedings of the 1st European HIV Drug Resistance Workshop. European AIDS Clinical Society; 2003. [HIV Medicine, vol. 4]
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@inproceedings{Beerenwinkel2003b, TITLE = {Estimating effective drug combinations against drug-resistant mutants from genotypes}, AUTHOR = {Beerenwinkel, Niko and D{\"a}umer, Martin and Kaiser, Rolf and Walter, Hauke and Korn, Klaus and Hoffmann, Daniel and Selbig, Joachim and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-3A6131607909C01CC1256D260028CCD3-Beerenwinkel2003b}, PUBLISHER = {European AIDS Clinical Society}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {Proceedings of the 1st European HIV Drug Resistance Workshop}, PAGES = {18--18}, SERIES = {HIV Medicine}, VOLUME = {4}, PAGES = {18}, ADDRESS = {Luxembourg}, }
Endnote
%0 Conference Proceedings %A Beerenwinkel, Niko %A D&#228;umer, Martin %A Kaiser, Rolf %A Walter, Hauke %A Korn, Klaus %A Hoffmann, Daniel %A Selbig, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Estimating effective drug combinations against drug-resistant mutants from genotypes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2CE3-0 %F EDOC: 201814 %F OTHER: Local-ID: C125673F004B2D7B-3A6131607909C01CC1256D260028CCD3-Beerenwinkel2003b %D 2003 %B HIV Drug Resistance Workshop %Z date of event: 2003-03-06 - 2003-03-08 %C Luxembourg %B Proceedings of the 1st European HIV Drug Resistance Workshop %P 18 - 18 %I European AIDS Clinical Society %B HIV Medicine %N 4 %P 18
909. Beerenwinkel N: Computational Analysis of HIV Drug resistance Data. Universität des Saarlandes; 2003.
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@phdthesis{BeerenwinkelPhD2004, TITLE = {Computational Analysis of {HIV} Drug resistance Data}, AUTHOR = {Beerenwinkel, Niko}, LANGUAGE = {eng}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2003}, DATE = {2003}, }
Endnote
%0 Thesis %A Beerenwinkel, Niko %Y Lengauer, Thomas %A referee: Lenhof, Hans-Peter %A referee: Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society External Organizations %T Computational Analysis of HIV Drug resistance Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-BD11-A %I Universit&#228;t des Saarlandes %C Saarbr&#252;cken %D 2003 %P VIII, 180 p. %V phd %9 phd
910. Beerenwinkel N, Lengauer T, Däumer M, Kaiser R, Walter H, Korn K, Hoffmann D, Selbig J: Methods for Optimizing Antiviral Combination Therapies. Bioinformatics (Proc ISMB 2003) 2003, 19.
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@article{Beerenwinkel2003f, TITLE = {Methods for Optimizing Antiviral Combination Therapies}, AUTHOR = {Beerenwinkel, Niko and Lengauer, Thomas and D{\"a}umer, Martin and Kaiser, Rolf and Walter, Hauke and Korn, Klaus and Hoffmann, Daniel and Selbig, Joachim}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btg1001}, LOCALID = {Local-ID: C125673F004B2D7B-4F433DC17E2E4201C1256E220033C422-Beerenwinkel2003f}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Bioinformatics (Proc. ISMB)}, VOLUME = {19}, PAGES = {i16--i25}, BOOKTITLE = {11th International Conference on Intelligent Systems for Molecular Biology (ISMB 2003)}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A Lengauer, Thomas %A D&#228;umer, Martin %A Kaiser, Rolf %A Walter, Hauke %A Korn, Klaus %A Hoffmann, Daniel %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Methods for Optimizing Antiviral Combination Therapies : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D70-C %F EDOC: 202017 %F OTHER: Local-ID: C125673F004B2D7B-4F433DC17E2E4201C1256E220033C422-Beerenwinkel2003f %R 10.1093/bioinformatics/btg1001 %D 2003 %* Review method: peer-reviewed %J Bioinformatics %V 19 %& i16 %P i16 - i25 %I Oxford University Press %C Oxford %@ false %B 11th International Conference on Intelligent Systems for Molecular Biology %O ISMB 2003 June 29 - July 3, 2003, Brisbane, Australia
911. Beerenwinkel N, Däumer M, Oette M, Korn K, Hoffmann D, Kaiser R, Lengauer T, Selbig J, Walter H: Geno2pheno: Estimating Phenotypic Drug Resistance from HIV-1 Genotypes. Nucleic Acids Research 2003, 31.
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@article{Beerenwinkel2003a, TITLE = {Geno2pheno: Estimating Phenotypic Drug Resistance from {HIV}-1 Genotypes}, AUTHOR = {Beerenwinkel, Niko and D{\"a}umer, Martin and Oette, Mark and Korn, Klaus and Hoffmann, Daniel and Kaiser, Rolf and Lengauer, Thomas and Selbig, Joachim and Walter, Hauke}, LANGUAGE = {eng}, ISSN = {0305-1048}, DOI = {10.1093/nar/gkg575}, LOCALID = {Local-ID: C125673F004B2D7B-5DC7A6E597F3C20AC1256D260025F206-Beerenwinkel2003a}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Nucleic Acids Research}, VOLUME = {31}, NUMBER = {13}, PAGES = {3850--3855}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A D&#228;umer, Martin %A Oette, Mark %A Korn, Klaus %A Hoffmann, Daniel %A Kaiser, Rolf %A Lengauer, Thomas %A Selbig, Joachim %A Walter, Hauke %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Geno2pheno: Estimating Phenotypic Drug Resistance from HIV-1 Genotypes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D14-9 %F EDOC: 201832 %F OTHER: Local-ID: C125673F004B2D7B-5DC7A6E597F3C20AC1256D260025F206-Beerenwinkel2003a %R 10.1093/nar/gkg575 %D 2003 %* Review method: peer-reviewed %J Nucleic Acids Research %O Nucleic Acids Res %V 31 %N 13 %& 3850 %P 3850 - 3855 %I Oxford University Press %C Oxford %@ false
912. Beerenwinkel N, Däumer M, Hoffmann D, Kaiser R, Selbig J, Lengauer T: Bioinformatikmethoden für die Optimierung antiviraler Kombinationstherapien. In Jahrbuch der Max-Planck-Gesellschaft. München: MPG; 2003.
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@incollection{BeerenwinkelLengauer2003d, TITLE = {{Bioinformatikmethoden f{\"u}r die Optimierung antiviraler Kombinationstherapien}}, AUTHOR = {Beerenwinkel, Niko and D{\"a}umer, Martin and Hoffmann, Daniel and Kaiser, Rolf and Selbig, Joachim and Lengauer, Thomas}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-038EE4BFBD4D990BC1256D2E0033E846-BeerenwinkelLengauer2003d}, PUBLISHER = {MPG}, ADDRESS = {M{\"u}nchen}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Jahrbuch der Max-Planck-Gesellschaft}, EDITOR = {{Max-Planck-Gesellschaft}}, PAGES = {481--486}, }
Endnote
%0 Book Section %A Beerenwinkel, Niko %A D&#228;umer, Martin %A Hoffmann, Daniel %A Kaiser, Rolf %A Selbig, Joachim %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatikmethoden f&#252;r die Optimierung antiviraler Kombinationstherapien : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2C63-1 %F EDOC: 201787 %F OTHER: Local-ID: C125673F004B2D7B-038EE4BFBD4D990BC1256D2E0033E846-BeerenwinkelLengauer2003d %D 2003 %J Jahrbuch der Max-Planck-Gesellschaft %P 481 - 486 %I MPG %C M&#252;nchen
913. Domingues FS, Lengauer T: Protein Function from Sequence and Structure Data. Applied Bioinformatics 2003, 2.
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@article{DominguesLengauer2003b, TITLE = {Protein Function from Sequence and Structure Data}, AUTHOR = {Domingues, Francisco S. and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-581B98750D3615E3C1256CD1005175E2-DominguesLengauer2003b}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Applied Bioinformatics}, VOLUME = {2}, PAGES = {3--12}, }
Endnote
%0 Journal Article %A Domingues, Francisco S. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Protein Function from Sequence and Structure Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2DD5-8 %F EDOC: 201999 %F OTHER: Local-ID: C125673F004B2D7B-581B98750D3615E3C1256CD1005175E2-DominguesLengauer2003b %D 2003 %* Review method: peer-reviewed %J Applied Bioinformatics %V 2 %& 3 %P 3 - 12
914. James J, Das AV, Rahnenführer J, Leon F, Ahmad I: Identification of rat brahma (rBRM), a subunit of SWI/SNF chromatin remodeling complex: Involvement in the differentiation of retinal stem cells/progenitors. 2003.
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@misc{Rahnenfuhrer2003f, TITLE = {Identification of rat brahma ({rBRM}), a subunit of {SWI}/{SNF} chromatin remodeling complex: Involvement in the differentiation of retinal stem cells/progenitors}, AUTHOR = {James, Jackson and Das, Ani V and Rahnenf{\"u}hrer, J{\"o}rg and Leon, FAS and Ahmad, Iqbal}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-E41D77B1706ED82DC1256ED1004F8072-Rahnenf&#252;hrer2003f}, YEAR = {2003}, DATE = {2003}, }
Endnote
%0 Generic %A James, Jackson %A Das, Ani V %A Rahnenf&#252;hrer, J&#246;rg %A Leon, FAS %A Ahmad, Iqbal %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Identification of rat brahma (rBRM), a subunit of SWI/SNF chromatin remodeling complex: Involvement in the differentiation of retinal stem cells/progenitors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D2B-A %F EDOC: 201981 %F OTHER: Local-ID: C125673F004B2D7B-E41D77B1706ED82DC1256ED1004F8072-Rahnenf&#252;hrer2003f %D 2003
915. Janssen A, Rahnenführer J: A hazard based approach to dependence tests for bivariate censored models. Mathematical Methods in Statistics 2003, 11.
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@article{Rahnenf2003b, TITLE = {A hazard based approach to dependence tests for bivariate censored models}, AUTHOR = {Janssen, A. and Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-C801A68A1003DDBDC1256CF00043DC24-Rahnenf2003b}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Mathematical Methods in Statistics}, VOLUME = {11}, PAGES = {297--322}, }
Endnote
%0 Journal Article %A Janssen, A. %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A hazard based approach to dependence tests for bivariate censored models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2C07-F %F EDOC: 201877 %F OTHER: Local-ID: C125673F004B2D7B-C801A68A1003DDBDC1256CF00043DC24-Rahnenf2003b %D 2003 %* Review method: peer-reviewed %J Mathematical Methods in Statistics %V 11 %& 297 %P 297 - 322
916. Jose J, Betschieder D, Ray S, Lengauer T, Zangen D: New inhibitors of human cathepsin G identified by surface display library screening and peptide-protein docking. In 7th International Symposium on Pharmaceutical Sciences (ISOPS-7). Faculty of Pharmacy, Ankara University; 2003.
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@inproceedings{Ray2003, TITLE = {New inhibitors of human cathepsin G identified by surface display library screening and peptide-protein docking}, AUTHOR = {Jose, Joachim and Betschieder, Dirk and Ray, Somak and Lengauer, Thomas and Zangen, D}, LANGUAGE = {eng}, ISBN = {975-482-601-3}, LOCALID = {Local-ID: C125673F004B2D7B-6A00BE1A732D3276C1256E190040EFCC-Ray2003}, PUBLISHER = {Faculty of Pharmacy, Ankara University}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {7th International Symposium on Pharmaceutical Sciences (ISOPS-7)}, PAGES = {46--49}, }
Endnote
%0 Conference Proceedings %A Jose, Joachim %A Betschieder, Dirk %A Ray, Somak %A Lengauer, Thomas %A Zangen, D %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T New inhibitors of human cathepsin G identified by surface display library screening and peptide-protein docking : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D8D-E %F EDOC: 202013 %F OTHER: Local-ID: C125673F004B2D7B-6A00BE1A732D3276C1256E190040EFCC-Ray2003 %I Faculty of Pharmacy, Ankara University %D 2003 %B Untitled Event %Z date of event: 2003-06-24 - %C Ankara, Turkey %B 7th International Symposium on Pharmaceutical Sciences (ISOPS-7) %P 46 - 49 %I Faculty of Pharmacy, Ankara University %@ 975-482-601-3
917. Kämper A, Lengauer T: ECLIPPSE: Environment for Chemical Library Inspection, Pre- and Postprocessing, and Screening Evaluation. User Guide. 2003.
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@misc{KamperLengauer2003b, TITLE = {{ECLIPPSE}: Environment for Chemical Library Inspection, Pre- and Postprocessing, and Screening Evaluation. User Guide}, AUTHOR = {K{\"a}mper, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-48F0005CFAA40D79C1256D26002E05E2-K&#228;mperLengauer2003b}, YEAR = {2003}, DATE = {2003}, }
Endnote
%0 Manuscript %A K&#228;mper, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T ECLIPPSE: Environment for Chemical Library Inspection, Pre- and Postprocessing, and Screening Evaluation. User Guide : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2CCB-8 %F EDOC: 202050 %F OTHER: Local-ID: C125673F004B2D7B-48F0005CFAA40D79C1256D26002E05E2-K&#228;mperLengauer2003b %D 2003
918. Kämper A, Lengauer T: Virtual Screening for Novel Urease Inhibitors. Proceedings of the International Workshop on New Approaches in Drug Design & Discovery 2003.
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@inproceedings{KamperLengauer2003a, TITLE = {Virtual Screening for Novel Urease Inhibitors}, AUTHOR = {K{\"a}mper, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-B82FC5A7B0E226D8C1256D26002CE2C5-K&#228;mperLengauer2003a}, PUBLISHER = {University of Marburg}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {Proceedings of the International Workshop on New Approaches in Drug Design \& Discovery}, }
Endnote
%0 Generic %A K&#228;mper, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Virtual Screening for Novel Urease Inhibitors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-28E1-1 %F EDOC: 201905 %F OTHER: Local-ID: C125673F004B2D7B-B82FC5A7B0E226D8C1256D26002CE2C5-K&#228;mperLengauer2003a %D 2003 %Z name of event: Untitled Event %Z date of event: 2003-03-24 - 2003-03-27 %Z place of event: Marburg, Germany %B Proceedings of the International Workshop on New Approaches in Drug Design & Discovery
919. Lengauer T: Analyzing Resistance Phenomena in HIV with Bioinformatics Methods. Bioinformatics (Proc ECCB 2003) 2003, 19.
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@article{Lengauer2003c, TITLE = {Analyzing Resistance Phenomena in {HIV} with Bioinformatics Methods}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/btg1065}, LOCALID = {Local-ID: C125673F004B2D7B-16693B052BEB4ADEC1256E2200356FEC-Lengauer2003c}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Bioinformatics (Proc. ECCB)}, VOLUME = {19}, NUMBER = {2}, PAGES = {ii92--ii92}, BOOKTITLE = {2003 European Conference on Computational Biology (ECCB 2003)}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Analyzing Resistance Phenomena in HIV with Bioinformatics Methods : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2C1B-3 %F EDOC: 202025 %F OTHER: Local-ID: C125673F004B2D7B-16693B052BEB4ADEC1256E2200356FEC-Lengauer2003c %R 10.1093/bioinformatics/btg1065 %D 2003 %* Review method: peer-reviewed %J Bioinformatics %V 19 %N 2 %& ii92 %P ii92 - ii92 %I Oxford University Press %C Oxford %@ false %B 2003 European Conference on Computational Biology %O ECCB 2003 September 27-30, 2003, Paris, France
920. Lengauer T, Schäfer M: Combinatorial Optimization Techniques for Three-Dimensional Arrangement Problems. In Mathematics - Key Technology for the Future. Edited by Jäger W, Krebs H-J. Heidelberg: Springer; 2003.
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@incollection{Lengauer2003b, TITLE = {Combinatorial Optimization Techniques for Three-Dimensional Arrangement Problems}, AUTHOR = {Lengauer, Thomas and Sch{\"a}fer, M.}, EDITOR = {J{\"a}ger, Willi and Krebs, Hans-Joachim}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-EE6A14C206B55B8EC1256E1D003B700B-Lengauer2003b}, PUBLISHER = {Springer}, ADDRESS = {Heidelberg}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {Mathematics -- Key Technology for the Future}, DEBUG = {editor: J{\"a}ger, Willi; editor: Krebs, Hans-Joachim}, PAGES = {63--73}, }
Endnote
%0 Book Section %A Lengauer, Thomas %A Sch&#228;fer, M. %E J&#228;ger, Willi %E Krebs, Hans-Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Max Planck Society Max Planck Society %T Combinatorial Optimization Techniques for Three-Dimensional Arrangement Problems : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2C85-6 %F EDOC: 201860 %F OTHER: Local-ID: C125673F004B2D7B-EE6A14C206B55B8EC1256E1D003B700B-Lengauer2003b %I Springer %C Heidelberg %D 2003 %B Mathematics - Key Technology for the Future %E J&#228;ger, Willi; Krebs, Hans-Joachim %P 63 - 73 %I Springer %C Heidelberg
921. Merkwirth C, Ogorzalek M, Wichard JD: Stochastic Gradient Descent Training of Ensembles of DT-CNN Classifiers for Digit Recognition. In Proceedings of the 16th European Conference on Circuit Theory and Design ECCTD’03. Edited by Ogorzalek M, Galias Z, Garda B, Kadeja B. Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, AGH University of Science and Technology; 2003.
Abstract
We show how to train Discrete Time Cellular Neural Networks (DT-CNN) successfully by backpropagation to perform pattern recognition on a data set of handwritten digits. By using concepts and techniques from Machine Learning, we can outperform Support Vector Machines (SVM) on this problem.
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@inproceedings{Merkwirth2003ECCTD, TITLE = {Stochastic Gradient Descent Training of Ensembles of {DT}-{CNN} Classifiers for Digit Recognition}, AUTHOR = {Merkwirth, Christian and Ogorzalek, Maciej and Wichard, J{\"o}rg Daniel}, EDITOR = {Ogorzalek, Maciej and Galias, Zbigniew and Garda, Bart{\l}omiej and Kadeja, Bart{\l}omiej}, LANGUAGE = {eng}, ISBN = {83-88309-95-1}, LOCALID = {Local-ID: C125673F004B2D7B-D22546C0E6C688C6C1256E19003E789C-Merkwirth2003ECCTD}, PUBLISHER = {Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, AGH University of Science and Technology}, YEAR = {2003}, DATE = {2003}, ABSTRACT = {We show how to train Discrete Time Cellular Neural Networks (DT-CNN) successfully by backpropagation to perform pattern recognition on a data set of handwritten digits. By using concepts and techniques from Machine Learning, we can outperform Support Vector Machines (SVM) on this problem.}, BOOKTITLE = {Proceedings of the 16th European Conference on Circuit Theory and Design ECCTD'03}, PAGES = {337--341}, ADDRESS = {Krakow, Poland}, }
Endnote
%0 Conference Proceedings %A Merkwirth, Christian %A Ogorzalek, Maciej %A Wichard, J&#246;rg Daniel %E Ogorzalek, Maciej %E Galias, Zbigniew %E Garda, Bart&#322;omiej %E Kadeja, Bart&#322;omiej %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Stochastic Gradient Descent Training of Ensembles of DT-CNN Classifiers for Digit Recognition : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E34-C %F EDOC: 201998 %F OTHER: Local-ID: C125673F004B2D7B-D22546C0E6C688C6C1256E19003E789C-Merkwirth2003ECCTD %D 2003 %B ECCTD 2003 %Z date of event: 2003-09-01 - 2003-09-04 %C Krakow, Poland %X We show how to train Discrete Time Cellular Neural Networks (DT-CNN) successfully by backpropagation to perform pattern recognition on a data set of handwritten digits. By using concepts and techniques from Machine Learning, we can outperform Support Vector Machines (SVM) on this problem. %B Proceedings of the 16th European Conference on Circuit Theory and Design ECCTD'03 %P 337 - 341 %I Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, AGH University of Science and Technology %@ 83-88309-95-1
922. Peinado M, Lengauer T: Parallel “Go with the Winners Algorithms” in Distributed Memory Models. Journal of Parallel and Distributed Computing 2003, 63.
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@article{PeinadoLengauer2003a, TITLE = {Parallel "Go with the Winners Algorithms" in Distributed Memory Models}, AUTHOR = {Peinado, Marcus and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0743-7315}, DOI = {10.1016/S0743-7315(03)00109-6}, LOCALID = {Local-ID: C125673F004B2D7B-2EB9261B028EFA7AC1256E150035511F-PeinadoLengauer2003a}, PUBLISHER = {Academic Press}, ADDRESS = {Orlando, Fla.}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Journal of Parallel and Distributed Computing}, VOLUME = {63}, NUMBER = {9}, PAGES = {801--814}, }
Endnote
%0 Journal Article %A Peinado , Marcus %A Lengauer, Thomas %+ External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Parallel "Go with the Winners Algorithms" in Distributed Memory Models : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2DBB-4 %F EDOC: 201875 %F OTHER: Local-ID: C125673F004B2D7B-2EB9261B028EFA7AC1256E150035511F-PeinadoLengauer2003a %R 10.1016/S0743-7315(03)00109-6 %D 2003 %* Review method: peer-reviewed %J Journal of Parallel and Distributed Computing %V 63 %N 9 %& 801 %P 801 - 814 %I Academic Press %C Orlando, Fla. %@ false
923. Rahnenführer J: Efficient Clustering Methods for Tumor Classification with Microarrays. In Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation. Edited by Schader M, Gaul W, Vichi M. Springer; 2003. [Between Data Science and Applied Data Analysis]
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@inproceedings{Rahnenf2003c, TITLE = {Efficient Clustering Methods for Tumor Classification with Microarrays}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, EDITOR = {Schader, Martin and Gaul, Wolfgang and Vichi, Maurizio}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-45F2C5012898325EC1256D26003817A6-Rahnenf2003c}, PUBLISHER = {Springer}, YEAR = {2002}, DATE = {2003}, BOOKTITLE = {Proceedings of the 26th Annual Conference of the Gesellschaft f{\"u}r Klassifikation}, PAGES = {670--679}, SERIES = {Between Data Science and Applied Data Analysis}, ADDRESS = {Mannheim, Germany}, }
Endnote
%0 Conference Proceedings %A Rahnenf&#252;hrer, J&#246;rg %E Schader, Martin %E Gaul, Wolfgang %E Vichi, Maurizio %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Efficient Clustering Methods for Tumor Classification with Microarrays : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2CD3-3 %F EDOC: 201842 %F OTHER: Local-ID: C125673F004B2D7B-45F2C5012898325EC1256D26003817A6-Rahnenf2003c %D 2003 %B GfKl 2002 %Z date of event: 2002-07-22 - 2002-07-24 %C Mannheim, Germany %B Proceedings of the 26th Annual Conference of the Gesellschaft f&#252;r Klassifikation %P 670 - 679 %I Springer %B Between Data Science and Applied Data Analysis
924. Rahnenführer J, Bozinov D: Comparative quality analyses for hybrid clustering of microarray images. 2003.
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@inproceedings{Rahnenf2003d, TITLE = {Comparative quality analyses for hybrid clustering of microarray images}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Bozinov, Daniel}, LOCALID = {Local-ID: C125673F004B2D7B-C6621EA229B026CBC1256D2600395F23-Rahnenf2003d}, YEAR = {2003}, DATE = {2003}, }
Endnote
%0 Generic %A Rahnenf&#252;hrer, J&#246;rg %A Bozinov, Daniel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Comparative quality analyses for hybrid clustering of microarray images : %U http://hdl.handle.net/11858/00-001M-0000-000F-2BD3-D %F EDOC: 202049 %F OTHER: Local-ID: C125673F004B2D7B-C6621EA229B026CBC1256D2600395F23-Rahnenf2003d %D 2003 %Z name of event: Untitled Event %Z date of event: 2003-04-10 - 2003-04-13 %Z place of event: Berlin, Germany
925. Rahnenführer J: On preferences of general two-sided tests with applications to Kolmogorov-Smirnov-type tests. Statistics & Decisions 2003, 21.
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@article{Rahnenf2003a, TITLE = {On preferences of general two-sided tests with applications to Kolmogorov-Smirnov-type tests}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-1A43A164748B5DCDC1256CF00043A852-Rahnenf2003a}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Statistics \& Decisions}, VOLUME = {21}, PAGES = {115--136}, }
Endnote
%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On preferences of general two-sided tests with applications to Kolmogorov-Smirnov-type tests : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D99-1 %F EDOC: 202022 %F OTHER: Local-ID: C125673F004B2D7B-1A43A164748B5DCDC1256CF00043A852-Rahnenf2003a %D 2003 %* Review method: peer-reviewed %J Statistics & Decisions %V 21 %& 115 %P 115 - 136
926. Rahnenführer J: Statistical Inference for Clustering Microarrays. In Proceedings of the MSRI Workshop: Nonlinear Estimation and Classification. Edited by Denison DD, Hansen MH, Holmes CC, Mallick B, Yu B. Springer; 2003. [Lecture Notes in Statistics]
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@inproceedings{Rahnenf2001a, TITLE = {Statistical Inference for Clustering Microarrays}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, EDITOR = {Denison, David D. and Hansen, Mark H. and Holmes, Christopher C. and Mallick, Bani and Yu, Bin}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7D1E17F38C770037C1256D260038F307-Rahnenf2001a}, PUBLISHER = {Springer}, YEAR = {2001}, DATE = {2003}, BOOKTITLE = {Proceedings of the MSRI Workshop: Nonlinear Estimation and Classification}, PAGES = {323--332}, SERIES = {Lecture Notes in Statistics}, ADDRESS = {Berkleley, USA}, }
Endnote
%0 Conference Proceedings %A Rahnenf&#252;hrer, J&#246;rg %E Denison, David D. %E Hansen, Mark H. %E Holmes, Christopher C. %E Mallick, Bani %E Yu, Bin %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Statistical Inference for Clustering Microarrays : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E30-3 %F EDOC: 201849 %F OTHER: Local-ID: C125673F004B2D7B-7D1E17F38C770037C1256D260038F307-Rahnenf2001a %D 2003 %B MSRI 2001 %Z date of event: 2001-03-19 - 2001-03-29 %C Berkleley, USA %B Proceedings of the MSRI Workshop: Nonlinear Estimation and Classification %P 323 - 332 %I Springer %B Lecture Notes in Statistics
927. Rahnenführer J, Futschik A: Cost-effective screening for differentially expressed genes in microarray experiments based on normal mixtures. Austrian Journal of Statistics 2003, 32.
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@article{Rahnenfuhrer2003e, TITLE = {Cost-effective screening for differentially expressed genes in microarray experiments based on normal mixtures}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Futschik, Andreas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-06720B3132039B75C1256E1500602EA3-Rahnenf&#252;hrer2003e}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Austrian Journal of Statistics}, VOLUME = {32}, PAGES = {225--238}, }
Endnote
%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %A Futschik, Andreas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Cost-effective screening for differentially expressed genes in microarray experiments based on normal mixtures : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2CA3-2 %F EDOC: 201882 %F OTHER: Local-ID: C125673F004B2D7B-06720B3132039B75C1256E1500602EA3-Rahnenf&#252;hrer2003e %D 2003 %* Review method: peer-reviewed %J Austrian Journal of Statistics %V 32 %& 225 %P 225 - 238
928. Talwar P, Lengauer T, Wittmann C, Mangadu V, Heinzle E: Towards cellular function through metabolite screening. In Proceedings of the 3rd Annual Conference on Metabolic Profiling: Pathways in Discovery. Cambridge Healthtech Institute; 2003.
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@inproceedings{Talwar2003, TITLE = {Towards cellular function through metabolite screening}, AUTHOR = {Talwar, Priti and Lengauer, Thomas and Wittmann, Christoph and Mangadu, Vidya and Heinzle, Elmar}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-76BD83884DE933CCC1256EA600529A9D-Talwar2003}, PUBLISHER = {Cambridge Healthtech Institute}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {Proceedings of the 3rd Annual Conference on Metabolic Profiling: Pathways in Discovery}, PAGES = {7--7}, ADDRESS = {Princeton, New Jersey}, }
Endnote
%0 Conference Proceedings %A Talwar, Priti %A Lengauer, Thomas %A Wittmann, Christoph %A Mangadu, Vidya %A Heinzle, Elmar %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Towards cellular function through metabolite screening : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E66-B %F EDOC: 201782 %F OTHER: Local-ID: C125673F004B2D7B-76BD83884DE933CCC1256EA600529A9D-Talwar2003 %D 2003 %B Conference on Metabolic Profiling %Z date of event: 2003-12-08 - 2003-12-09 %C Princeton, New Jersey %B Proceedings of the 3rd Annual Conference on Metabolic Profiling: Pathways in Discovery %P 7 - 7 %I Cambridge Healthtech Institute
929. Talwar P, Wittmann C, Lengauer T, Heinzle E: Software tool for automated processing of 13C labeling data from mass spectrometry data. BioTechniques 2003, 35.
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@article{Talwar2003a, TITLE = {Software tool for automated processing of {13C} labeling data from mass spectrometry data}, AUTHOR = {Talwar, Priti and Wittmann, Christoph and Lengauer, Thomas and Heinzle, Elmar}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-81120A1AE013CCFAC1256E150034FBB4-Talwar2003a}, YEAR = {2003}, DATE = {2003}, JOURNAL = {BioTechniques}, VOLUME = {35}, PAGES = {1214--1215}, }
Endnote
%0 Journal Article %A Talwar, Priti %A Wittmann, Christoph %A Lengauer, Thomas %A Heinzle, Elmar %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Software tool for automated processing of 13C labeling data from mass spectrometry data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E20-7 %F EDOC: 201987 %F OTHER: Local-ID: C125673F004B2D7B-81120A1AE013CCFAC1256E150034FBB4-Talwar2003a %D 2003 %* Review method: peer-reviewed %J BioTechniques %V 35 %& 1214 %P 1214 - 1215
930. Von Öhsen N, Sommer I, Zimmer R: Profile-Profile Alignment: A Powerful Tool For Protein Structure Prediction. In Pacific Symposium on Biocomputing, PSB 2003. World-Scientific; 2003.
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@inproceedings{vonOehsen2003, TITLE = {Profile-Profile Alignment: A Powerful Tool For Protein Structure Prediction}, AUTHOR = {von {\"O}hsen, Niklas and Sommer, Ingolf and Zimmer, Ralf}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-80338963F1A96355C1256E1600443AC2-vonOehsen2003}, PUBLISHER = {World-Scientific}, YEAR = {2003}, DATE = {2003}, BOOKTITLE = {Pacific Symposium on Biocomputing, PSB 2003}, PAGES = {252--263}, ADDRESS = {Hawaii, USA}, }
Endnote
%0 Conference Proceedings %A von &#214;hsen, Niklas %A Sommer, Ingolf %A Zimmer, Ralf %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Profile-Profile Alignment: A Powerful Tool For Protein Structure Prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2DD0-1 %F EDOC: 201988 %F OTHER: Local-ID: C125673F004B2D7B-80338963F1A96355C1256E1600443AC2-vonOehsen2003 %D 2003 %B PSB 2003 %Z date of event: 2003-01-03 - 2003-01-07 %C Hawaii, USA %B Pacific Symposium on Biocomputing, PSB 2003 %P 252 - 263 %I World-Scientific
931. Wolf K, Walter H, Beerenwinkel N, Keulen W, Kaiser R, Hoffmann D, Lengauer T, Selbig J, Vandamme A-M, Korn K, Schmidt B: Tenofovir resistance and resensitization. Antimicrobial Agents and Chemotherapy 2003, 47.
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@article{Beerenwinkel2003, TITLE = {Tenofovir resistance and resensitization}, AUTHOR = {Wolf, Katharina and Walter, Hauke and Beerenwinkel, Niko and Keulen, Wilco and Kaiser, Rolf and Hoffmann, Daniel and Lengauer, Thomas and Selbig, Joachim and Vandamme, Anne-Mieke and Korn, Klaus and Schmidt, Barbara}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-ED4177270D38178BC1256E1500344DE5-Beerenwinkel2003}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Antimicrobial Agents and Chemotherapy}, VOLUME = {47}, PAGES = {3478--3484}, }
Endnote
%0 Journal Article %A Wolf, Katharina %A Walter, Hauke %A Beerenwinkel, Niko %A Keulen, Wilco %A Kaiser, Rolf %A Hoffmann, Daniel %A Lengauer, Thomas %A Selbig, Joachim %A Vandamme, Anne-Mieke %A Korn, Klaus %A Schmidt, Barbara %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Tenofovir resistance and resensitization : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2E51-A %F EDOC: 202047 %F OTHER: Local-ID: C125673F004B2D7B-ED4177270D38178BC1256E1500344DE5-Beerenwinkel2003 %D 2003 %* Review method: peer-reviewed %J Antimicrobial Agents and Chemotherapy %V 47 %& 3478 %P 3478 - 3484
932. Zien A, Fluck J, Zimmer R, Lengauer T: Microarrays: How many do you need?Journal of Computational Biology 2003, 10.
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@article{Lengauer2003a, TITLE = {Microarrays: How many do you need?}, AUTHOR = {Zien, Alexander and Fluck, Juliane and Zimmer, Ralf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1066-5277}, DOI = {10.1089/10665270360688246}, LOCALID = {Local-ID: C125673F004B2D7B-0109E1F63DC0E6DFC1256D2E0031FF83-Lengauer2003a}, PUBLISHER = {Mary Ann Liebert}, ADDRESS = {New York, NY}, YEAR = {2003}, DATE = {2003}, JOURNAL = {Journal of Computational Biology}, VOLUME = {10}, NUMBER = {3-4}, PAGES = {653--667}, }
Endnote
%0 Journal Article %A Zien, Alexander %A Fluck, Juliane %A Zimmer, Ralf %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Microarrays: How many do you need? : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2D72-8 %F EDOC: 201990 %F OTHER: Local-ID: C125673F004B2D7B-0109E1F63DC0E6DFC1256D2E0031FF83-Lengauer2003a %R 10.1089/10665270360688246 %D 2003 %* Review method: peer-reviewed %J Journal of Computational Biology %V 10 %N 3-4 %& 653 %P 653 - 667 %I Mary Ann Liebert %C New York, NY %@ false
2002
933. Althaus E, Caprara A, Lenhof H-P, Reinert K: Multiple sequence alignment with arbitrary gap costs: Computing an optimal solution using polyhedral combinatorics. In Proceedings of the European Conference on Computational Biology (ECCB 2002). Edited by Lengauer T. Oxford University Press; 2002. [Bioinformatics]
Abstract
Multiple sequence alignment is one of the dominant problems in computational molecular biology. Numerous scoring functions and methods have been proposed, most of which result in NP-hard problems. In this paper we propose for the first time a general formulation for multiple alignment with arbitrary gap-costs based on an integer linear program (ILP). In addition we describe a branch-and-cut algorithm to effectively solve the ILP to optimality. We evaluate the performances of our approach in terms of running time and quality of the alignments using the BAliBase database of reference alignments. The results show that our implementation ranks amongst the best programs developed so far.
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@inproceedings{Althaus2002b, TITLE = {Multiple sequence alignment with arbitrary gap costs: Computing an optimal solution using polyhedral combinatorics}, AUTHOR = {Althaus, Ernst and Caprara, Alberto and Lenhof, Hans-Peter and Reinert, Knut}, EDITOR = {Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256428004B93B8-14DF56BBB5470A4DC1256C930054F370-Althaus2002b}, PUBLISHER = {Oxford University Press}, YEAR = {2002}, DATE = {2002}, ABSTRACT = {Multiple sequence alignment is one of the dominant problems in computational molecular biology. Numerous scoring functions and methods have been proposed, most of which result in NP-hard problems. In this paper we propose for the first time a general formulation for multiple alignment with arbitrary gap-costs based on an integer linear program (ILP). In addition we describe a branch-and-cut algorithm to effectively solve the ILP to optimality. We evaluate the performances of our approach in terms of running time and quality of the alignments using the BAliBase database of reference alignments. The results show that our implementation ranks amongst the best programs developed so far.}, BOOKTITLE = {Proceedings of the European Conference on Computational Biology (ECCB 2002)}, PAGES = {S4--S16}, SERIES = {Bioinformatics}, ADDRESS = {Saarbr{\"u}cken}, }
Endnote
%0 Conference Proceedings %A Althaus, Ernst %A Caprara, Alberto %A Lenhof, Hans-Peter %A Reinert, Knut %E Lengauer, Thomas %+ Algorithms and Complexity, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Multiple sequence alignment with arbitrary gap costs: Computing an optimal solution using polyhedral combinatorics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3001-0 %F EDOC: 202065 %F OTHER: Local-ID: C1256428004B93B8-14DF56BBB5470A4DC1256C930054F370-Althaus2002b %D 2002 %B ECCB 2002 %Z date of event: 2002-10-06 - 2002-10-09 %C Saarbr&#252;cken %X Multiple sequence alignment is one of the dominant problems in computational molecular biology. Numerous scoring functions and methods have been proposed, most of which result in NP-hard problems. In this paper we propose for the first time a general formulation for multiple alignment with arbitrary gap-costs based on an integer linear program (ILP). In addition we describe a branch-and-cut algorithm to effectively solve the ILP to optimality. We evaluate the performances of our approach in terms of running time and quality of the alignments using the BAliBase database of reference alignments. The results show that our implementation ranks amongst the best programs developed so far. %B Proceedings of the European Conference on Computational Biology (ECCB 2002) %P S4 - S16 %I Oxford University Press %B Bioinformatics
934. Antes I, Chandler D, Oster G: A Classical Dynamics Study of the Unbinding of ATP From the F0F1-ATPase. Poster book of the European Conference on Computational Biology, Saarbrücken, Germany 2002 2002.
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@inproceedings{Antes2002, TITLE = {A Classical Dynamics Study of the Unbinding of {ATP} From the {F0F1-ATPase}}, AUTHOR = {Antes, Iris and Chandler, David and Oster, George}, LANGUAGE = {eng}, PUBLISHER = {Poster book of the European Conference on Computational Biology, Saarbr{\"u}cken, Germany 2002}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Poster book of the European Conference on Computational Biology, Saarbr{\"u}cken, Germany 2002}, }
Endnote
%0 Generic %A Antes, Iris %A Chandler, David %A Oster, George %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T A Classical Dynamics Study of the Unbinding of ATP From the F0F1-ATPase : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0ED9-0 %D 2002 %B Poster book of the European Conference on Computational Biology, Saarbr&#252;cken, Germany 2002
935. Antes I, Thiel W, Gunsteren van WF: Molecular dynamics simulations of photoactive yellow protein (PYP) in three states of its photocycle: a comparison with X-ray and NMR data and analysis of the effects of Glu46 deprotonation and mutation. European Biophysics Jounal 2002, 31.
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@article{Antes2002a, TITLE = {Molecular dynamics simulations of photoactive yellow protein ({PYP}) in three states of its photocycle: a comparison with X-ray and {NMR} data and analysis of the effects of Glu46 deprotonation and mutation}, AUTHOR = {Antes, Iris and Thiel, Walter and Gunsteren van, Wilfred F.}, LANGUAGE = {eng}, ISSN = {0175-7571}, LOCALID = {Local-ID: C125673F004B2D7B-0B5AF0AAF156423AC1256CB80030E955-Antes2002a}, YEAR = {2002}, DATE = {2002}, JOURNAL = {European Biophysics Jounal}, VOLUME = {31}, PAGES = {504--520}, }
Endnote
%0 Journal Article %A Antes, Iris %A Thiel, Walter %A Gunsteren van, Wilfred F. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Molecular dynamics simulations of photoactive yellow protein (PYP) in three states of its photocycle: a comparison with X-ray and NMR data and analysis of the effects of Glu46 deprotonation and mutation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2FF2-7 %F EDOC: 201790 %F OTHER: Local-ID: C125673F004B2D7B-0B5AF0AAF156423AC1256CB80030E955-Antes2002a %D 2002 %* Review method: peer-reviewed %J European Biophysics Jounal %V 31 %& 504 %P 504 - 520 %@ false
936. Beerenwinkel N, Lengauer T, Däumer M, Sierra S, Schmidt B, Walter H, Korn K, Oette M, Fätkenheuer G, Rockstroh J, Hoffmann D, Kaiser R, Selbig J: Geno2pheno is predictive of short-term virological response. In Proceedings from the 5th International Workshop on HIV Drug Resistance & Treatment Strategies. International Medical Press; 2002. [Antiviral Therapy]
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@inproceedings{BeerenwinkelLengauer2002c, TITLE = {Geno2pheno is predictive of short-term virological response}, AUTHOR = {Beerenwinkel, Niko and Lengauer, Thomas and D{\"a}umer, Martin and Sierra, S. and Schmidt, Barbara and Walter, Hauke and Korn, Klaus and Oette, Mark and F{\"a}tkenheuer, G. and Rockstroh, J. and Hoffmann, Daniel and Kaiser, Rolf and Selbig, Joachim}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-3620FC7FB273015EC1256CB10038DFB5-BeerenwinkelLengauer2002c}, PUBLISHER = {International Medical Press}, YEAR = {2001}, DATE = {2002}, BOOKTITLE = {Proceedings from the 5th International Workshop on HIV Drug Resistance \& Treatment Strategies}, PAGES = {74--74}, SERIES = {Antiviral Therapy}, ADDRESS = {Scottsdale, Arizona}, }
Endnote
%0 Conference Proceedings %A Beerenwinkel, Niko %A Lengauer, Thomas %A D&#228;umer, Martin %A Sierra, S. %A Schmidt, Barbara %A Walter, Hauke %A Korn, Klaus %A Oette, Mark %A F&#228;tkenheuer, G. %A Rockstroh, J. %A Hoffmann, Daniel %A Kaiser, Rolf %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno is predictive of short-term virological response : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2F99-F %F EDOC: 202168 %F OTHER: Local-ID: C125673F004B2D7B-3620FC7FB273015EC1256CB10038DFB5-BeerenwinkelLengauer2002c %D 2002 %B 5th International Workshop on HIV Drug Resistance & Treatment Strategies %Z date of event: 2001-06-04 - 2001-06-08 %C Scottsdale, Arizona %B Proceedings from the 5th International Workshop on HIV Drug Resistance & Treatment Strategies %P 74 - 74 %I International Medical Press %B Antiviral Therapy
937. Beerenwinkel N, Lengauer T, Schmidt B, Walter H, Kaiser R, Hoffmann D, Korn K, Selbig J: Quantitative phenotype prediction by support vector machines. In Proceedings from the 5th International Workshop on HIV Drug resistance & Treatment Strategies. International Medical Press; 2002. [Antiviral Therapy]
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@inproceedings{BeerenwinkelLengauer2002b, TITLE = {Quantitative phenotype prediction by support vector machines}, AUTHOR = {Beerenwinkel, Niko and Lengauer, Thomas and Schmidt, Barbara and Walter, Hauke and Kaiser, Rolf and Hoffmann, Daniel and Korn, Klaus and Selbig, Joachim}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-515254E27D0155E8C1256CB10038789E-BeerenwinkelLengauer2002b}, PUBLISHER = {International Medical Press}, YEAR = {2001}, DATE = {2002}, BOOKTITLE = {Proceedings from the 5th International Workshop on HIV Drug resistance \& Treatment Strategies}, PAGES = {74--74}, SERIES = {Antiviral Therapy}, ADDRESS = {Scotsdale, Arizona}, }
Endnote
%0 Conference Proceedings %A Beerenwinkel, Niko %A Lengauer, Thomas %A Schmidt, Barbara %A Walter, Hauke %A Kaiser, Rolf %A Hoffmann, Daniel %A Korn, Klaus %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Quantitative phenotype prediction by support vector machines : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-303F-8 %F EDOC: 202175 %F OTHER: Local-ID: C125673F004B2D7B-515254E27D0155E8C1256CB10038789E-BeerenwinkelLengauer2002b %D 2002 %B Workshop on HIV Drug resistance & Treatment Strategies %Z date of event: 2001-06-04 - 2001-06-08 %C Scotsdale, Arizona %B Proceedings from the 5th International Workshop on HIV Drug resistance & Treatment Strategies %P 74 - 74 %I International Medical Press %B Antiviral Therapy
938. Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Lengauer T, Hoffmann D, Korn K, Selbig J: Diversity and complexity of HIV-1drug resistance: A bioinformatics approach to predicting phenotype from genotype. Proceedings of the National Academy of Sciences 2002, 99.
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@article{BeerenwinkelLengauer2002a, TITLE = {Diversity and complexity of {HIV}-1drug resistance: A bioinformatics approach to predicting phenotype from genotype}, AUTHOR = {Beerenwinkel, Niko and Schmidt, Barbara and Walter, Hauke and Kaiser, Rolf and Lengauer, Thomas and Hoffmann, Daniel and Korn, Klaus and Selbig, Joachim}, LANGUAGE = {eng}, ISSN = {0027-8424}, LOCALID = {Local-ID: C125673F004B2D7B-A18169E04E2E2153C1256CB1003A0796-BeerenwinkelLengauer2002a}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Proceedings of the National Academy of Sciences}, VOLUME = {99}, PAGES = {8271--8276}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A Schmidt, Barbara %A Walter, Hauke %A Kaiser, Rolf %A Lengauer, Thomas %A Hoffmann, Daniel %A Korn, Klaus %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Diversity and complexity of HIV-1drug resistance: A bioinformatics approach to predicting phenotype from genotype : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2F5B-E %F EDOC: 202185 %F OTHER: Local-ID: C125673F004B2D7B-A18169E04E2E2153C1256CB1003A0796-BeerenwinkelLengauer2002a %D 2002 %* Review method: peer-reviewed %J Proceedings of the National Academy of Sciences %V 99 %& 8271 %P 8271 - 8276 %@ false
939. Bozinov D, Rahnenführer J, Burson C, Spiegelstein O: Automated Grid Alignment for High-Throughput Analysis of Microarray Images (CIIST-02). In Proceedings of the 2002 International Conference on Imaging Science, Systems, and Technology. Edited by Arabnia HR, Mun Y. CSREA Press; 2002.
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@inproceedings{Rahnenf2002c, TITLE = {Automated Grid Alignment for High-Throughput Analysis of Microarray Images ({CIIST}-02)}, AUTHOR = {Bozinov, Daniel and Rahnenf{\"u}hrer, J{\"o}rg and Burson, Cathy and Spiegelstein, Ofer}, EDITOR = {Arabnia, H. R. and Mun, Y.}, LANGUAGE = {eng}, ISBN = {1-892512-95-5}, LOCALID = {Local-ID: C125673F004B2D7B-B237A9DDA310A958C1256D2600388C16-Rahnenf2002c}, PUBLISHER = {CSREA Press}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Proceedings of the 2002 International Conference on Imaging Science, Systems, and Technology}, PAGES = {161--167}, ADDRESS = {Las Vegas, USA}, }
Endnote
%0 Conference Proceedings %A Bozinov, Daniel %A Rahnenf&#252;hrer, J&#246;rg %A Burson, Cathy %A Spiegelstein, Ofer %E Arabnia, H. R. %E Mun, Y. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated Grid Alignment for High-Throughput Analysis of Microarray Images (CIIST-02) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2F1E-7 %F EDOC: 202184 %F OTHER: Local-ID: C125673F004B2D7B-B237A9DDA310A958C1256D2600388C16-Rahnenf2002c %D 2002 %B CISST 2002 %Z date of event: 2002-06-24 - 2002-06-27 %C Las Vegas, USA %B Proceedings of the 2002 International Conference on Imaging Science, Systems, and Technology %P 161 - 167 %I CSREA Press %@ 1-892512-95-5
940. Freudenberg J, Zimmer R, Hanisch D, Lengauer T: A Hypergraph-based Method for Unification of Existing Protein Structure- and Sequence-families. In Silico Biology : an International Journal on Computational Molecular Biology (Proc GCB 2001) 2002, 2.
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@article{Lengauer2002c, TITLE = {A Hypergraph-based Method for Unification of Existing Protein Structure- and Sequence-families}, AUTHOR = {Freudenberg, Jan and Zimmer, Ralf and Hanisch, Daniel and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1386-6338}, URL = {https://content.iospress.com/articles/in-silico-biology/isb00054}, LOCALID = {Local-ID: C125673F004B2D7B-DBAC5FECAC922270C1256C7C00465736-Lengauer2002c}, PUBLISHER = {IOS Press}, ADDRESS = {Amsterdam}, YEAR = {2002}, DATE = {2002}, JOURNAL = {In Silico Biology : an International Journal on Computational Molecular Biology (Proc. GCB)}, VOLUME = {2}, NUMBER = {3}, PAGES = {339--349}, BOOKTITLE = {2001 German Conference on Bioinformatics (GCB 2001)}, }
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%0 Journal Article %A Freudenberg, Jan %A Zimmer, Ralf %A Hanisch, Daniel %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T A Hypergraph-based Method for Unification of Existing Protein Structure- and Sequence-families : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2EEB-0 %F EDOC: 202183 %F OTHER: Local-ID: C125673F004B2D7B-DBAC5FECAC922270C1256C7C00465736-Lengauer2002c %U https://content.iospress.com/articles/in-silico-biology/isb00054 %D 2002 %* Review method: peer-reviewed %J In Silico Biology : an International Journal on Computational Molecular Biology %O In Silico Biol %V 2 %N 3 %& 339 %P 339 - 349 %I IOS Press %C Amsterdam %@ false %B 2001 German Conference on Bioinformatics %O GCB 2001 7-10 October, Braunschweig, Germany
941. Hahn A, Costello CM, Lu T, Lengauer T, Schreiber S: Expression Analysis for Inflammatory Bowel Disease. Statistics in Genetics Poster Session 2002.
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@inproceedings{Hahn2002, TITLE = {Expression Analysis for Inflammatory Bowel Disease}, AUTHOR = {Hahn, Andreas and Costello, Christine M. and Lu, Tim and Lengauer, Thomas and Schreiber, Stefan}, LANGUAGE = {eng}, YEAR = {2002}, BOOKTITLE = {Statistics in Genetics Poster Session}, ADDRESS = {Munich, Germany}, }
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%0 Generic %A Hahn, Andreas %A Costello, Christine M. %A Lu, Tim %A Lengauer, Thomas %A Schreiber, Stefan %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Expression Analysis for Inflammatory Bowel Disease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-A660-4 %D 2002 %Z name of event: Statistics in Genetics %Z date of event: 2002-08-14 - 2002-08-16 %Z place of event: Munich, Germany %B Statistics in Genetics Poster Session
942. Hanisch D, Zimmer R, Lengauer T: ProML - The Protein Markup Language for Specification of Protein Sequences, Structures and Families. In Silico Biology : an International Journal on Computational Molecular Biology (Proc GCB 2001) 2002, 2.
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@article{Lengauer2002b, TITLE = {{ProML} -- The Protein Markup Language for Specification of Protein Sequences, Structures and Families}, AUTHOR = {Hanisch, Daniel and Zimmer, Ralf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1386-6338}, URL = {https://content.iospress.com/articles/in-silico-biology/isb00052?resultNumber=0&totalResults=58&start=0&q=ProML+-+the+Protein+Markup+Language+for+specification+of+protein+sequences%2C+structures+and+families&resultsPageSize=10&rows=10}, LOCALID = {Local-ID: C125673F004B2D7B-2E7A09CB698F53D9C1256C7C00460872-Lengauer2002b}, PUBLISHER = {IOS Press}, ADDRESS = {Amsterdam}, YEAR = {2002}, DATE = {2002}, JOURNAL = {In Silico Biology : an International Journal on Computational Molecular Biology (Proc. GCB)}, VOLUME = {2}, NUMBER = {3}, PAGES = {313--324}, BOOKTITLE = {2001 German Conference on Bioinformatics (GCB 2001)}, }
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%0 Journal Article %A Hanisch, Daniel %A Zimmer, Ralf %A Lengauer, Thomas %+ External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T ProML - The Protein Markup Language for Specification of Protein Sequences, Structures and Families : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-303D-C %F EDOC: 202189 %F OTHER: Local-ID: C125673F004B2D7B-2E7A09CB698F53D9C1256C7C00460872-Lengauer2002b %U https://content.iospress.com/articles/in-silico-biology/isb00052?resultNumber=0&totalResults=58&start=0&q=ProML+-+the+Protein+Markup+Language+for+specification+of+protein+sequences%2C+structures+and+families&resultsPageSize=10&rows=10 %D 2002 %J In Silico Biology : an International Journal on Computational Molecular Biology %O In Silico Biol %V 2 %N 3 %& 313 %P 313 - 324 %I IOS Press %C Amsterdam %@ false %B 2001 German Conference on Bioinformatics %O GCB 2001 7-10 October, Braunschweig, Germany
943. Hanisch D, Zien A, Zimmer R, Lengauer T: Co-clustering of Biological Networks and Gene Expression Data. In Bioinformatics (Proc ISMB 2002). Volume 18. Oxford University Press; 2002.
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@inproceedings{Lengauer2002g, TITLE = {Co-clustering of Biological Networks and Gene Expression Data}, AUTHOR = {Hanisch, Daniel and Zien, Alexander and Zimmer, Ralf and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1367-4803}, DOI = {10.1093/bioinformatics/18.suppl_1.S145}, LOCALID = {Local-ID: C125673F004B2D7B-7E998CCAFA283BBBC1256CD1004341BB-Lengauer2002g}, PUBLISHER = {Oxford University Press}, PUBLISHER = {Oxford University Press}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Proceedings of the 10th Conference on Intelligent Systems for Molecular Biology (ISMB 2002)}, PAGES = {145--154}, JOURNAL = {Bioinformatics (Proc. ISMB)}, VOLUME = {18}, ISSUE = {1}, PAGES = {S145--S154}, ADDRESS = {Alberta, Canada}, }
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%0 Conference Proceedings %A Hanisch, Daniel %A Zien, Alexander %A Zimmer, Ralf %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Co-clustering of Biological Networks and Gene Expression Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2F34-4 %F EDOC: 202182 %F OTHER: Local-ID: C125673F004B2D7B-7E998CCAFA283BBBC1256CD1004341BB-Lengauer2002g %R 10.1093/bioinformatics/18.suppl_1.S145 %D 2002 %B 10th Conference on Intelligent Systems for Molecular Biology %Z date of event: 2002-08-03 - 2002-08-07 %C Alberta, Canada %B Proceedings of the 10th Conference on Intelligent Systems for Molecular Biology %P 145 - 154 %I Oxford University Press %J Bioinformatics %V 18 %N 1 %P S145 - S154 %I Oxford University Press %@ false
944. Hindle SA, Rarey M, Buning C, Lengauer T: Flexible Docking under Pharmacophore Type Constraints. Journal of Computer-Aided Molecular Design 2002, 16.
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@article{Lengauer2002a, TITLE = {Flexible Docking under Pharmacophore Type Constraints}, AUTHOR = {Hindle, Sally A. and Rarey, Matthias and Buning, Christian and Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {0920-654X}, DOI = {10.1023/A:1016399411208}, LOCALID = {Local-ID: C125673F004B2D7B-AFE6FCA5C2AD6086C1256C6800538713-Lengauer2002a}, PUBLISHER = {Springer International Publishing}, ADDRESS = {Switzerland}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Journal of Computer-Aided Molecular Design}, VOLUME = {16}, PAGES = {129--149}, }
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%0 Journal Article %A Hindle, Sally A. %A Rarey, Matthias %A Buning, Christian %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Flexible Docking under Pharmacophore Type Constraints : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2F93-C %F EDOC: 202188 %F OTHER: Local-ID: C125673F004B2D7B-AFE6FCA5C2AD6086C1256C6800538713-Lengauer2002a %R 10.1023/A:1016399411208 %D 2002 %* Review method: peer-reviewed %J Journal of Computer-Aided Molecular Design %O J. Comput.-Aided Mol. Des. %V 16 %& 129 %P 129 - 149 %I Springer International Publishing %C Switzerland %@ false %U https://rdcu.be/dOkDd
945. Hoffmann D, Schnaible V, Wefing S, Albrecht M, Hanisch D, Zimmer R: A New Method for the Fast Solution of Protein-3D-structures, Combining Experiments and Bioinformatics. In Coupling of Biological and Electronic Systems. Springer; 2002.
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@inproceedings{Albrecht2000, TITLE = {A New Method for the Fast Solution of Protein-{3D}-structures, Combining Experiments and Bioinformatics}, AUTHOR = {Hoffmann, Daniel and Schnaible, Volker and Wefing, Stephan and Albrecht, Mario and Hanisch, Daniel and Zimmer, Ralf}, LANGUAGE = {eng}, DOI = {10.1007/978-3-642-56177-1_6}, PUBLISHER = {Springer}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Coupling of Biological and Electronic Systems}, EDITOR = {Hoffmann, Karl-Hein}, PAGES = {59--78}, }
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%0 Conference Proceedings %A Hoffmann, Daniel %A Schnaible, Volker %A Wefing, Stephan %A Albrecht, Mario %A Hanisch, Daniel %A Zimmer, Ralf %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T A New Method for the Fast Solution of Protein-3D-structures, Combining Experiments and Bioinformatics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0E6F-F %R 10.1007/978-3-642-56177-1_6 %D 2002 %B Coupling of Biological and Electronic Systems %E Hoffmann, Karl-Hein %P 59 - 78 %I Springer
946. Kämper A, Apostolakis J, Lengauer T: Docking of Bacterial Cell-wall Fragments into Glycopeptide Antibiotics. From Genes to Drugs via Crystallography (Erice 2002) 2002.
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@inproceedings{KaemperLengauer2002a, TITLE = {Docking of Bacterial Cell-wall Fragments into Glycopeptide Antibiotics}, AUTHOR = {K{\"a}mper, Andreas and Apostolakis, Joannis and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {0-9718823-1-2}, PUBLISHER = {Erice Crystallography Publications}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {From Genes to Drugs via Crystallography (Erice 2002)}, EDITOR = {Borkakoti, Neera}, PAGES = {49--49}, ADDRESS = {Erice, Italy}, }
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%0 Generic %A K&#228;mper, Andreas %A Apostolakis, Joannis %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking of Bacterial Cell-wall Fragments into Glycopeptide Antibiotics : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0027-A624-C %D 2002 %Z name of event: 33rd Crytallographic Course %Z date of event: 2002-05-23 - 2002-05-27 %Z place of event: Erice, Italy %B From Genes to Drugs via Crystallography %E Borkakoti, Neera %P 49 - 49 %@ 0-9718823-1-2
947. Kämper A, Lengauer T: Docking of Ligands into Molecular Tweezers and Molecular Clips. Workshop of the SFB 624 “Templates” 2002.
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@inproceedings{KaemperLengauer2002b, TITLE = {Docking of Ligands into Molecular Tweezers and Molecular Clips}, AUTHOR = {K{\"a}mper, Andreas and Lengauer, Thomas}, LANGUAGE = {eng}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Workshop of the SFB 624 'Templates'}, }
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%0 Generic %A K&#228;mper, Andreas %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking of Ligands into Molecular Tweezers and Molecular Clips : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0EEC-8 %D 2002 %B Workshop of the SFB 624 'Templates'
948. Lengauer T: Ausbildung im Bereich Bioinformatik. Ernst & Young Report Biotechnologie, Segmentreport Bioinformatik 2002, 1.
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@article{Lengauer2002e, TITLE = {{Ausbildung im Bereich Bioinformatik}}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-A74A29EB9296FF38C1256CD10042561F-Lengauer2002e}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Ernst \& Young Report Biotechnologie, Segmentreport Bioinformatik}, VOLUME = {1}, PAGES = {57--58}, }
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%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Ausbildung im Bereich Bioinformatik : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-2F1C-B %F EDOC: 202187 %F OTHER: Local-ID: C125673F004B2D7B-A74A29EB9296FF38C1256CD10042561F-Lengauer2002e %D 2002 %* Review method: peer-reviewed %J Ernst & Young Report Biotechnologie, Segmentreport Bioinformatik %V 1 %& 57 %P 57 - 58
949. Lengauer T: Preface: Special RECOMB 2001 Issue. Journal of Computational Biology 2002, 9.
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@article{Lengauer2002d, TITLE = {Preface: Special {RECOMB} 2001 Issue}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, ISSN = {1066-5277}, LOCALID = {Local-ID: C125673F004B2D7B-4207DF0C3106A1A0C1256CAF002C780A-Lengauer2002d}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Journal of Computational Biology}, VOLUME = {9}, PAGES = {147--148}, }
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%0 Journal Article %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Preface: Special RECOMB 2001 Issue : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3032-2 %F EDOC: 202186 %F OTHER: Local-ID: C125673F004B2D7B-4207DF0C3106A1A0C1256CAF002C780A-Lengauer2002d %D 2002 %* Review method: peer-reviewed %J Journal of Computational Biology %V 9 %& 147 %P 147 - 148 %@ false
950. Lengauer T, Lenhof H-P (Eds): Proceedings of the European Conference on Computational Biology (ECCB 2002). Oxford University Press; 2002.
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@proceedings{LengauerLenhof2002a, TITLE = {Proceedings of the European Conference on Computational Biology (ECCB 2002)}, EDITOR = {Lengauer, Thomas and Lenhof, Hans-Peter}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-560E412888CD34B5C1256C7C00450B62-LengauerLenhof2002a}, PUBLISHER = {Oxford University Press}, YEAR = {2002}, DATE = {2002}, PAGES = {260}, }
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%0 Conference Proceedings %E Lengauer, Thomas %E Lenhof, Hans-Peter %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Proceedings of the European Conference on Computational Biology (ECCB 2002) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3039-3 %F EDOC: 202193 %F OTHER: Local-ID: C125673F004B2D7B-560E412888CD34B5C1256C7C00450B62-LengauerLenhof2002a %I Oxford University Press %D 2002 %B Untitled Event %Z date of event: 2002-10-06 - %D 2002 %C Saarbr&#252;cken, Germany %P 260
951. Nishida Y, Hirano K, Tsukamoto K, Nagano M, Ikegami C, Roomp K, Ishihara M, Sakane N, Zhang Z, Tsujii K, Matsuyama A, Ohama T, Matsuura F, Ishigami M, Sakai N, Hiraoka H, Hattori H, Wellington CL, Yoshida Y, Misugi S, Hayden MR, Egashira T, Yamashita S, Matsuzawa Y: Expression and Functional Analyses of Novel Mutations ot ATP-Binding Cassette Transporter-1 in Japanese Patients with High-Density Lipoprotein Deficiency. Biochemical and Biophysical Research Communications 2002, 290.
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@article{Roomp2002c, TITLE = {Expression and Functional Analyses of Novel Mutations ot {ATP}-Binding Cassette Transporter-1 in Japanese Patients with High-Density Lipoprotein Deficiency}, AUTHOR = {Nishida, Yoshiharu and Hirano, Kenichi and Tsukamoto, Kosuke and Nagano, Makoto and Ikegami, Chiaki and Roomp, Kirsten and Ishihara, Mitsuaki and Sakane, Naoki and Zhang, Zhongyan and Tsujii, Ken-ichi and Matsuyama, Akifumi and Ohama, Tohru and Matsuura, Fumihiko and Ishigami, Masato and Sakai, Naohiko and Hiraoka, Hisatoyo and Hattori, Hiroaki and Wellington, Cheryl L. and Yoshida, Yoshihide and Misugi, Susumu and Hayden, Michael R. and Egashira, Toru and Yamashita, Shizuya and Matsuzawa, Yuji}, LANGUAGE = {eng}, ISSN = {0006-291X}, PUBLISHER = {Academic Press}, ADDRESS = {Orlando, Fla.}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Biochemical and Biophysical Research Communications}, VOLUME = {290}, NUMBER = {2}, PAGES = {713--721}, }
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%0 Journal Article %A Nishida, Yoshiharu %A Hirano, Kenichi %A Tsukamoto, Kosuke %A Nagano, Makoto %A Ikegami, Chiaki %A Roomp, Kirsten %A Ishihara, Mitsuaki %A Sakane, Naoki %A Zhang, Zhongyan %A Tsujii, Ken-ichi %A Matsuyama, Akifumi %A Ohama, Tohru %A Matsuura, Fumihiko %A Ishigami, Masato %A Sakai, Naohiko %A Hiraoka, Hisatoyo %A Hattori, Hiroaki %A Wellington, Cheryl L. %A Yoshida, Yoshihide %A Misugi, Susumu %A Hayden, Michael R. %A Egashira, Toru %A Yamashita, Shizuya %A Matsuzawa, Yuji %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Expression and Functional Analyses of Novel Mutations ot ATP-Binding Cassette Transporter-1 in Japanese Patients with High-Density Lipoprotein Deficiency : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0FBE-6 %D 2002 %J Biochemical and Biophysical Research Communications %O Biochem. Biophys. Res. Commun. %V 290 %N 2 %& 713 %P 713 - 721 %I Academic Press %C Orlando, Fla. %@ false
952. Rahnenführer J: Multivariate Permutation Tests for the k-sample Problem with Clustered Data. Computational Statistics 2002, 17.
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@article{Rahnenf2002b, TITLE = {Multivariate Permutation Tests for the k-sample Problem with Clustered Data}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, ISSN = {0943-4062}, PUBLISHER = {Physica-Verlag}, ADDRESS = {Heidelberg, Berlin}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Computational Statistics}, VOLUME = {17}, NUMBER = {2}, PAGES = {165--184}, }
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%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Multivariate Permutation Tests for the k-sample Problem with Clustered Data : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0FA8-5 %D 2002 %J Computational Statistics %V 17 %N 2 %& 165 %P 165 - 184 %I Physica-Verlag %C Heidelberg, Berlin %@ false
953. Rahnenführer J, Bozinov D: Unsupervised Technique for Robust Target Separation and Analysis of DNA Microarray Spots through Adaptive Pixel Clustering. Bioinformatics 2002, 18.
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@article{Rahnenf2002a, TITLE = {Unsupervised Technique for Robust Target Separation and Analysis of {DNA} Microarray Spots through Adaptive Pixel Clustering}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg and Bozinov, Daniel}, LANGUAGE = {eng}, ISSN = {1367-4803}, PUBLISHER = {Oxford University Press}, ADDRESS = {Oxford}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Bioinformatics}, VOLUME = {18}, NUMBER = {5}, PAGES = {747--756}, }
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%0 Journal Article %A Rahnenf&#252;hrer, J&#246;rg %A Bozinov, Daniel %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations %T Unsupervised Technique for Robust Target Separation and Analysis of DNA Microarray Spots through Adaptive Pixel Clustering : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0FA0-6 %D 2002 %J Bioinformatics %V 18 %N 5 %& 747 %P 747 - 756 %I Oxford University Press %C Oxford %@ false
954. Rahnenführer J: Hybrid Clustering for Microarray Analysis Combining Intensity and Shape Features. Poster book of the European Conference on Computational Biology, Saarbrücken, Germany 2002 2002.
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@inproceedings{Rahnenf2002d, TITLE = {Hybrid Clustering for Microarray Analysis Combining Intensity and Shape Features}, AUTHOR = {Rahnenf{\"u}hrer, J{\"o}rg}, LANGUAGE = {eng}, PUBLISHER = {Poster book of the European Conference on Computational Biology, Saarbr{\"u}cken, Germany 2002}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Poster book of the European Conference on Computational Biology, Saarbr{\"u}cken, Germany 2002}, }
Endnote
%0 Generic %A Rahnenf&#252;hrer, J&#246;rg %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Hybrid Clustering for Microarray Analysis Combining Intensity and Shape Features : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0EDD-8 %D 2002 %B Poster book of the European Conference on Computational Biology, Saarbr&#252;cken, Germany 2002
955. Vorobyov S: The undecidability of the first-order theories of one step rewriting in linear canonical systems. Information and Computation 2002, 175.
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@article{Vorobyov2000-OSR, TITLE = {The undecidability of the first-order theories of one step rewriting in linear canonical systems}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256104005ECAFC-2A710DEFDA246A5AC1256AAF00436D5F-Vorobyov2000-OSR}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Information and Computation}, VOLUME = {175}, PAGES = {182--213}, }
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%0 Journal Article %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T The undecidability of the first-order theories of one step rewriting in linear canonical systems : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-30A6-F %F EDOC: 202160 %F OTHER: Local-ID: C1256104005ECAFC-2A710DEFDA246A5AC1256AAF00436D5F-Vorobyov2000-OSR %D 2002 %* Review method: peer-reviewed %J Information and Computation %V 175 %& 182 %P 182 - 213
956. Vorobyov S: $\forall\exists^5$-equational theory of context unification is undecidable. Theoretical Computer Science 2002, 275.
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@article{Vorobyov2000-aecu, TITLE = {\${\textbackslash}forall{\textbackslash}exists{\textasciicircum}5\$-equational theory of context unification is undecidable}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256104005ECAFC-918F900524C87A16C1256AAF0043B0B9-Vorobyov2000-aecu}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Theoretical Computer Science}, VOLUME = {275}, PAGES = {463--479}, }
Endnote
%0 Journal Article %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T $\forall\exists^5$-equational theory of context unification is undecidable : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2F95-8 %F EDOC: 202167 %F OTHER: Local-ID: C1256104005ECAFC-918F900524C87A16C1256AAF0043B0B9-Vorobyov2000-aecu %D 2002 %* Review method: peer-reviewed %J Theoretical Computer Science %V 275 %& 463 %P 463 - 479
957. Wellington CL, Yang Y-Z, Zhou S, Clee SM, Tan B, Hirano K, Zwarts KY, Kwok A, Gelfer A, Marcil M, Newman S, Roomp K, Singaraja R, Collins JA, Zhang L-H, Groen AK, Hovingh K, Brownlie A, Tafuri S, Genest JJ, Kastelein JJP, Hayden MR: Truncation Mutations in ABCA1 Suppress Normal Upregulation of Full-length ABCA1 by 9-cis-retinoic acid and 22-R-hydroxycholesterol. Journal of Lipid Research 2002, 43.
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@article{Roomp2002a, TITLE = {Truncation Mutations in {ABCA}1 Suppress Normal Upregulation of Full-length {ABCA}1 by 9-cis-retinoic acid and 22-{R}-hydroxycholesterol}, AUTHOR = {Wellington, Cheryl L. and Yang, Yu-Zhou and Zhou, Stephen and Clee, Susanne M. and Tan, Bing and Hirano, Kenichi and Zwarts, K. Y. and Kwok, Anita and Gelfer, Allison and Marcil, Michel and Newman, Scott and Roomp, Kirsten and Singaraja, Roshni and Collins, Jennifer A. and Zhang, Lin-Hua and Groen, Albert K. and Hovingh, Kees and Brownlie, Alison and Tafuri, Sherrie and Genest, Jacques Jr and Kastelein, J. J. P. and Hayden, Michael R.}, LANGUAGE = {eng}, ISSN = {0022-2275}, PUBLISHER = {American Society for Biochemistry and Molecular Biology}, ADDRESS = {Bethesda, Md.}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Journal of Lipid Research}, VOLUME = {43}, NUMBER = {11}, PAGES = {1939--1949}, }
Endnote
%0 Journal Article %A Wellington, Cheryl L. %A Yang, Yu-Zhou %A Zhou, Stephen %A Clee, Susanne M. %A Tan, Bing %A Hirano, Kenichi %A Zwarts, K. Y. %A Kwok, Anita %A Gelfer, Allison %A Marcil, Michel %A Newman, Scott %A Roomp, Kirsten %A Singaraja, Roshni %A Collins, Jennifer A. %A Zhang, Lin-Hua %A Groen, Albert K. %A Hovingh, Kees %A Brownlie, Alison %A Tafuri, Sherrie %A Genest, Jacques Jr %A Kastelein, J. J. P. %A Hayden, Michael R. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations %T Truncation Mutations in ABCA1 Suppress Normal Upregulation of Full-length ABCA1 by 9-cis-retinoic acid and 22-R-hydroxycholesterol : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0FC2-B %D 2002 %J Journal of Lipid Research %V 43 %N 11 %& 1939 %P 1939 - 1949 %I American Society for Biochemistry and Molecular Biology %C Bethesda, Md. %@ false
958. Zien A, Fluck J, Zimmer R, Lengauer T: Microarrays: How Many Do You Need? In Proceedings of the Sixth Annual Conference on Research in Computational Molecular Biology (RECOMB 2002). ACM; 2002.
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@inproceedings{Lengauer2002f, TITLE = {Microarrays: How Many Do You Need?}, AUTHOR = {Zien, Alexander and Fluck, Juliane and Zimmer, Ralf and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {1-58113-498-3}, DOI = {10.1145/565196.565239}, LOCALID = {Local-ID: C125673F004B2D7B-BD73C148500D2CD100256CBD004BB968-Lengauer2002f}, PUBLISHER = {ACM}, YEAR = {2002}, DATE = {2002}, BOOKTITLE = {Proceedings of the Sixth Annual Conference on Research in Computational Molecular Biology (RECOMB 2002)}, PAGES = {321--330}, ADDRESS = {Washington, USA}, }
Endnote
%0 Conference Proceedings %A Zien, Alexander %A Fluck, Juliane %A Zimmer, Ralf %A Lengauer, Thomas %+ External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Microarrays: How Many Do You Need? : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-2FEB-A %F EDOC: 202150 %F OTHER: Local-ID: C125673F004B2D7B-BD73C148500D2CD100256CBD004BB968-Lengauer2002f %R 10.1145/565196.565239 %D 2002 %B Sixth Annual Conference on Research in Computational Molecular Biology %Z date of event: 2002-04-18 - 2002-04-21 %C Washington, USA %B Proceedings of the Sixth Annual Conference on Research in Computational Molecular Biology %P 321 - 330 %I ACM %@ 1-58113-498-3
959. Zwarts KY, Clee SM, Zwinderman AH, Engert JC, Singaraja R, Loubser O, James E, Roomp K, Hudson TJ, Jukema JW, Kastelein JJP, Hayden MR: ABCA1 Regulatory Variants Influence Coronary Artery Disease Independent of Effects on Plasma Lipid Levels. Clinical Genetics 2002, 61.
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@article{Roomp2002b, TITLE = {{ABCA1} Regulatory Variants Influence Coronary Artery Disease Independent of Effects on Plasma Lipid Levels}, AUTHOR = {Zwarts, K.Y. and Clee, Susanne M. and Zwinderman, A.H. and Engert, J.C. and Singaraja, Roshni and Loubser, O and James, E and Roomp, Kirsten and Hudson, T.J. and Jukema, J.W. and Kastelein, J.J.P. and Hayden, Michael R.}, LANGUAGE = {eng}, ISSN = {0009-9163}, PUBLISHER = {Blackwell Munksgaard}, ADDRESS = {Oxford, UK}, YEAR = {2002}, DATE = {2002}, JOURNAL = {Clinical Genetics}, VOLUME = {61}, NUMBER = {2}, PAGES = {115--125}, }
Endnote
%0 Journal Article %A Zwarts, K.Y. %A Clee, Susanne M. %A Zwinderman, A.H. %A Engert, J.C. %A Singaraja, Roshni %A Loubser, O %A James, E %A Roomp, Kirsten %A Hudson, T.J. %A Jukema, J.W. %A Kastelein, J.J.P. %A Hayden, Michael R. %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T ABCA1 Regulatory Variants Influence Coronary Artery Disease Independent of Effects on Plasma Lipid Levels : %G eng %U http://hdl.handle.net/11858/00-001M-0000-001A-0FAC-E %D 2002 %J Clinical Genetics %V 61 %N 2 %& 115 %P 115 - 125 %I Blackwell Munksgaard %C Oxford, UK %@ false
2001
960. Antes I, Klein ML: The formation of a β-Peptide/DPC-micelle complex studied by MD simulations. 2001.
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@misc{Antes2001, TITLE = {The formation of a $\beta$-Peptide/{DPC}-micelle complex studied by {MD} simulations}, AUTHOR = {Antes, Iris and Klein, Michael L.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-D4660A982E32A450C1256D280054EFFF-Antes2001}, PUBLISHER = {Poster book of the 1st Gordon Research Conference in Bioinformatics}, YEAR = {2001}, DATE = {2001}, }
Endnote
%0 Generic %A Antes, Iris %A Klein, Michael L. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T The formation of a &#946;-Peptide/DPC-micelle complex studied by MD simulations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3317-A %F EDOC: 520871 %F OTHER: Local-ID: C125673F004B2D7B-D4660A982E32A450C1256D280054EFFF-Antes2001 %I Poster book of the 1st Gordon Research Conference in Bioinformatics %D 2001
961. Apostolakis J, Hofmann D, Lengauer T: Derivation of a scoring function for crystal structure prediction. Acta Crystallographica 2001, A57.
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@article{Lengauer2001e, TITLE = {Derivation of a scoring function for crystal structure prediction}, AUTHOR = {Apostolakis, Joannis and Hofmann, D. and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7BE0C5D79C10B79FC1256B4B00542A6F-Lengauer2001e}, YEAR = {2001}, DATE = {2001}, JOURNAL = {Acta Crystallographica}, VOLUME = {A57}, PAGES = {442--450}, }
Endnote
%0 Journal Article %A Apostolakis, Joannis %A Hofmann, D. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Derivation of a scoring function for crystal structure prediction : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3305-1 %F EDOC: 520881 %F OTHER: Local-ID: C125673F004B2D7B-7BE0C5D79C10B79FC1256B4B00542A6F-Lengauer2001e %D 2001 %* Review method: peer-reviewed %J Acta Crystallographica %V A57 %& 442 %P 442 - 450
962. Beerenwinkel N, Däumer M, Hoffmann D, Kaiser R, Korn K, Lengauer T, Schmidt B, Walter H, Selbig J: Neue Wege zur Optimierung von Anti-HIV Therapien. BIOforum 2001, 24.
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@article{BeerenwinkelLengauer2001a, TITLE = {{Neue Wege zur Optimierung von Anti-{HIV} Therapien}}, AUTHOR = {Beerenwinkel, Niko and D{\"a}umer, Martin and Hoffmann, Daniel and Kaiser, Rolf and Korn, Klaus and Lengauer, Thomas and Schmidt, Barbara and Walter, Hauke and Selbig, Joachim}, LANGUAGE = {deu}, LOCALID = {Local-ID: C125673F004B2D7B-E3B95557EA3BF228C1256D2E0033910E-BeerenwinkelLengauer2001a}, YEAR = {2001}, DATE = {2001}, JOURNAL = {BIOforum}, VOLUME = {24}, NUMBER = {12}, PAGES = {912--914}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A D&#228;umer, Martin %A Hoffmann, Daniel %A Kaiser, Rolf %A Korn, Klaus %A Lengauer, Thomas %A Schmidt, Barbara %A Walter, Hauke %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Neue Wege zur Optimierung von Anti-HIV Therapien : %G deu %U http://hdl.handle.net/11858/00-001M-0000-000F-3313-1 %F EDOC: 520874 %F OTHER: Local-ID: C125673F004B2D7B-E3B95557EA3BF228C1256D2E0033910E-BeerenwinkelLengauer2001a %D 2001 %* Review method: peer-reviewed %J BIOforum %V 24 %N 12 %& 912 %P 912 - 914
963. Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Lengauer T, Hoffmann D, Korn K, Selbig J: Geno2pheno: A system for the interpretation of genotypic HIV Drug resistance tests. IEEE Intelligent Systems 2001, 16.
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@article{Lengauer2001f, TITLE = {Geno2pheno: A system for the interpretation of genotypic {HIV} Drug resistance tests}, AUTHOR = {Beerenwinkel, Niko and Schmidt, Barbara and Walter, Hauke and Kaiser, Rolf and Lengauer, Thomas and Hoffmann, Daniel and Korn, Klaus and Selbig, Joachim}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-DCFA07FCCA8B5A20C1256B4B0057CA4F-Lengauer2001f}, YEAR = {2001}, DATE = {2001}, JOURNAL = {IEEE Intelligent Systems}, VOLUME = {16}, NUMBER = {6}, PAGES = {35--41}, }
Endnote
%0 Journal Article %A Beerenwinkel, Niko %A Schmidt, Barbara %A Walter, Hauke %A Kaiser, Rolf %A Lengauer, Thomas %A Hoffmann, Daniel %A Korn, Klaus %A Selbig, Joachim %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno: A system for the interpretation of genotypic HIV Drug resistance tests : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-330F-D %F EDOC: 520882 %F OTHER: Local-ID: C125673F004B2D7B-DCFA07FCCA8B5A20C1256B4B0057CA4F-Lengauer2001f %D 2001 %* Review method: peer-reviewed %J IEEE Intelligent Systems %V 16 %N 6 %& 35 %P 35 - 41
964. Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Lengauer T, Hoffmann D, Korn K, Selbig J: Identifying drug resistance-associated patterns in HIV genotypes. In Proceedings of the 2001 German Conference on Bioinformatics (GCB 2001). German Research Center for Biotechnology; 2001.
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@inproceedings{, TITLE = {Identifying drug resistance-associated patterns in {HIV} genotypes}, AUTHOR = {Beerenwinkel, Niko and Schmidt, Barbara and Walter, Hauke and Kaiser, Rolf and Lengauer, Thomas and Hoffmann, Daniel and Korn, Klaus and Selbig, J.}, LANGUAGE = {eng}, ISBN = {3-00-008114-3}, PUBLISHER = {German Research Center for Biotechnology}, YEAR = {2001}, DATE = {2001}, BOOKTITLE = {Proceedings of the 2001 German Conference on Bioinformatics (GCB 2001)}, EDITOR = {Wingender, E., Hofestedt, R., Liebich, I.}, PAGES = {126--130}, ADDRESS = {Braunschweig, Germany}, }
Endnote
%0 Conference Proceedings %A Beerenwinkel, Niko %A Schmidt, Barbara %A Walter, Hauke %A Kaiser, Rolf %A Lengauer, Thomas %A Hoffmann, Daniel %A Korn, Klaus %A Selbig, J. %+ External Organizations External Organizations External Organizations External Organizations Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society External Organizations External Organizations BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society %T Identifying drug resistance-associated patterns in HIV genotypes : %G eng %U http://hdl.handle.net/21.11116/0000-000F-9647-8 %D 2001 %B 2001 German Conference on Bioinformatics %Z date of event: 2001-10-07 - 2001-10-10 %C Braunschweig, Germany %B Proceedings of the 2001 German Conference on Bioinformatics %E Wingender, E., Hofestedt, R., Liebich, I. %P 126 - 130 %I German Research Center for Biotechnology %@ 3-00-008114-3
965. Claussen C, Buning C, Rarey M, Lengauer T: FlexE: Efficient Molecular Docking Considering Protein Structure Variations. Journal of Molecular Biology 2001, 308.
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@article{Lengauer2001d, TITLE = {{FlexE}: Efficient Molecular Docking Considering Protein Structure Variations}, AUTHOR = {Claussen, C. and Buning, Christian and Rarey, Matthias and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-18E7E673AC5AD31CC1256B4B0053AF31-Lengauer2001d}, YEAR = {2001}, DATE = {2001}, JOURNAL = {Journal of Molecular Biology}, VOLUME = {308}, NUMBER = {2}, PAGES = {377--395}, }
Endnote
%0 Journal Article %A Claussen, C. %A Buning, Christian %A Rarey, Matthias %A Lengauer, Thomas %+ Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T FlexE: Efficient Molecular Docking Considering Protein Structure Variations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3309-A %F EDOC: 520880 %F OTHER: Local-ID: C125673F004B2D7B-18E7E673AC5AD31CC1256B4B0053AF31-Lengauer2001d %D 2001 %* Review method: peer-reviewed %J Journal of Molecular Biology %V 308 %N 2 %& 377 %P 377 - 395
966. Clee SM, Zwinderman AH, Engert JC, Zwarts KY, Molhuizen HO, Roomp K, Jukema JW, van Wijland M, van Dam M, Hudson TJ, Brooks-Wilson A, Genest JJ, Kastelein JJP, Hayden MR: Common genetic variation in ABCA1 is associated with altered lipoprotein levels and a modified risk for coronary artery disease. Circulation 2001, 103.
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@article{Roomp2001a, TITLE = {Common genetic variation in {ABCA1} is associated with altered lipoprotein levels and a modified risk for coronary artery disease}, AUTHOR = {Clee, Susanne M. and Zwinderman, A.H. and Engert, J.C. and Zwarts, K.Y. and Molhuizen, H.O. and Roomp, Kirsten and Jukema, J.W. and van Wijland, M and van Dam, M and Hudson, T.J. and Brooks-Wilson, A and Genest, Jacques Jr and Kastelein, J.J.P. and Hayden, Michael R.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-83C740C5C10CEE40C1256CF30056C996-Roomp2001a}, YEAR = {2001}, DATE = {2001}, JOURNAL = {Circulation}, VOLUME = {103}, NUMBER = {9}, PAGES = {1198--205}, }
Endnote
%0 Journal Article %A Clee, Susanne M. %A Zwinderman, A.H. %A Engert, J.C. %A Zwarts, K.Y. %A Molhuizen, H.O. %A Roomp, Kirsten %A Jukema, J.W. %A van Wijland, M %A van Dam, M %A Hudson, T.J. %A Brooks-Wilson, A %A Genest, Jacques Jr %A Kastelein, J.J.P. %A Hayden, Michael R. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Common genetic variation in ABCA1 is associated with altered lipoprotein levels and a modified risk for coronary artery disease : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3319-6 %F EDOC: 520889 %F OTHER: Local-ID: C125673F004B2D7B-83C740C5C10CEE40C1256CF30056C996-Roomp2001a %D 2001 %* Review method: peer-reviewed %J Circulation %V 103 %N 9 %& 1198 %P 1198 - 205
967. Kämper A, Apostolakis J, Rarey M, Marian CM, Lengauer T: Docking of Ligands into Artificial Receptors. 2001.
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@misc{KaemperLengauer2001b, TITLE = {Docking of Ligands into Artificial Receptors}, AUTHOR = {K{\"a}mper, Andreas and Apostolakis, Joannis and Rarey, Matthias and Marian, Christel Maria and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-73D8D3C07324DA35C1256D26002E78C7-KaemperLengauer2001b}, PUBLISHER = {Poster at the Annual Meeting of the German CHemical Society, W{\"u}rzburg, Germany}, YEAR = {2001}, DATE = {2001}, }
Endnote
%0 Generic %A K&#228;mper, Andreas %A Apostolakis, Joannis %A Rarey, Matthias %A Marian, Christel Maria %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking of Ligands into Artificial Receptors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3307-E %F EDOC: 520883 %F OTHER: Local-ID: C125673F004B2D7B-73D8D3C07324DA35C1256D26002E78C7-KaemperLengauer2001b %I Poster at the Annual Meeting of the German CHemical Society, W&#252;rzburg, Germany %D 2001
968. Kämper A, Apostolakis J, Rarey M, Marian CM, Lengauer T: Docking of Ligands into Artificial Receptors. In Electronically Excited Molecules: Structure and Dynamics, 37th Symposium for Theoretical Chemistry. Arbeitsgemeinschaft Theoretische Chemie; 2001.
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@inproceedings{KaemperLengauer2001a, TITLE = {Docking of Ligands into Artificial Receptors}, AUTHOR = {K{\"a}mper, Andreas and Apostolakis, Joannis and Rarey, Matthias and Marian, Christel Maria and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-D268F91AF2791C4CC1256CB8002E2074-KaemperLengauer2001a}, PUBLISHER = {Arbeitsgemeinschaft Theoretische Chemie}, YEAR = {2003}, DATE = {2001}, BOOKTITLE = {Electronically Excited Molecules: Structure and Dynamics, 37th Symposium for Theoretical Chemistry}, }
Endnote
%0 Conference Proceedings %A K&#228;mper, Andreas %A Apostolakis, Joannis %A Rarey, Matthias %A Marian, Christel Maria %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Docking of Ligands into Artificial Receptors : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-331B-2 %F EDOC: 520886 %F OTHER: Local-ID: C125673F004B2D7B-D268F91AF2791C4CC1256CB8002E2074-KaemperLengauer2001a %I Arbeitsgemeinschaft Theoretische Chemie %D 2001 %B Untitled Event %Z date of event: 2003-05-22 - 2003-05-26 %C Bad Herrenalb, Germany %B Electronically Excited Molecules: Structure and Dynamics, 37th Symposium for Theoretical Chemistry %I Arbeitsgemeinschaft Theoretische Chemie
969. Lengauer T (Ed): From Genomes to Drugs. Weinheim: Wiley-VCH; 2001.
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@book{Lengauer2001b, TITLE = {From Genomes to Drugs}, EDITOR = {Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-673E2A8F11E3701BC1256B4B0050BA93-Lengauer2001b}, PUBLISHER = {Wiley-VCH}, ADDRESS = {Weinheim}, YEAR = {2001}, DATE = {2001}, PAGES = {647}, }
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%0 Edited Book %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T From Genomes to Drugs : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-330B-6 %F EDOC: 520875 %F OTHER: Local-ID: C125673F004B2D7B-673E2A8F11E3701BC1256B4B0050BA93-Lengauer2001b %I Wiley-VCH %C Weinheim %D 2001 %P 647
970. Lengauer T, Sankoff D, Istrail P, Pevzner P, Waterman MS (Eds): Proceedings of the 5th Annual Conference on Research in Computational Molecular Biology (RECOMB2001). New York: ACM; 2001.
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@book{Lengauer2001c, TITLE = {Proceedings of the 5th Annual Conference on Research in Computational Molecular Biology ({RECOMB2001})}, EDITOR = {Lengauer, Thomas and Sankoff, D. and Istrail, P. and Pevzner, P. and Waterman, M.S.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-C247B1AD255CA088C1256B4B0053001B-Lengauer2001c}, PUBLISHER = {ACM}, ADDRESS = {New York}, YEAR = {2001}, DATE = {2001}, PAGES = {315}, }
Endnote
%0 Edited Book %A Lengauer, Thomas %A Sankoff, D. %A Istrail, P. %A Pevzner, P. %A Waterman, M.S. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Proceedings of the 5th Annual Conference on Research in Computational Molecular Biology (RECOMB2001) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3315-E %F EDOC: 520879 %F OTHER: Local-ID: C125673F004B2D7B-C247B1AD255CA088C1256B4B0053001B-Lengauer2001c %I ACM %C New York %D 2001 %P 315
971. Lengauer T, Beerenwinkel N, Schmidt B, Walter H, Kaiser R, Hoffmann D, Korn K, Selbig J: Geno2pheno: a new machine learning approach to predicting phenotypic drug resistance from genotype. Antiviral Therapy 2001, 6(Supp. 1).
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@article{Lengauer2001r, TITLE = {Geno2pheno: a new machine learning approach to predicting phenotypic drug resistance from genotype}, AUTHOR = {Lengauer, Thomas and Beerenwinkel, Niko and Schmidt, B. and Walter, H. and Kaiser, R. and Hoffmann, D. and Korn, K. and Selbig, J.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-B4410D56AFB587B0C125757E004368C2-Lengauer2001r}, YEAR = {2001}, DATE = {2001}, JOURNAL = {Antiviral Therapy}, VOLUME = {6}, NUMBER = {Supp. 1}, }
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%0 Journal Article %A Lengauer, Thomas %A Beerenwinkel, Niko %A Schmidt, B. %A Walter, H. %A Kaiser, R. %A Hoffmann, D. %A Korn, K. %A Selbig, J. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Geno2pheno: a new machine learning approach to predicting phenotypic drug resistance from genotype : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-330D-2 %F EDOC: 520878 %F OTHER: Local-ID: C125673F004B2D7B-B4410D56AFB587B0C125757E004368C2-Lengauer2001r %D 2001 %* Review method: peer-reviewed %J Antiviral Therapy %V 6 %N Supp. 1
972. Lengauer T: Bioinformatik an der Schwelle zur postgenomischen Ära. In Was wissen wir, wenn wir das menschliche Genom kennen. Köln: Dumont; 2001.
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@incollection{Lengauer2001h, TITLE = {Bioinformatik an der Schwelle zur postgenomischen {\"A}ra}, AUTHOR = {Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-B66BDBCBF5461048C1256B4B0058FACD-Lengauer2001h}, PUBLISHER = {Dumont}, ADDRESS = {K{\"o}ln}, YEAR = {2001}, DATE = {2001}, BOOKTITLE = {Was wissen wir, wenn wir das menschliche Genom kennen}, EDITOR = {Honnefelder, Ludger and Propping, Peter}, PAGES = {56--62}, }
Endnote
%0 Book Section %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Bioinformatik an der Schwelle zur postgenomischen &#196;ra : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3301-9 %F EDOC: 520872 %F OTHER: Local-ID: C125673F004B2D7B-B66BDBCBF5461048C1256B4B0058FACD-Lengauer2001h %I Dumont %C K&#246;ln %D 2001 %B Was wissen wir, wenn wir das menschliche Genom kennen %E Honnefelder, Ludger; Propping, Peter %P 56 - 62 %I Dumont %C K&#246;ln
973. Schäfer M, Lengauer T: Automated Layout Generation and Wiring Area Estimation for 3D Electronic Modules. ASME Journal of Machanical Design 2001, 123.
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@article{Lengauer2001g, TITLE = {Automated Layout Generation and Wiring Area Estimation for {3D} Electronic Modules}, AUTHOR = {Sch{\"a}fer, M. and Lengauer, Thomas}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-94ADD528CFF03E29C1256B4B0058875F-Lengauer2001g}, YEAR = {2001}, DATE = {2001}, JOURNAL = {ASME Journal of Machanical Design}, VOLUME = {123}, NUMBER = {3}, PAGES = {330--336}, }
Endnote
%0 Journal Article %A Sch&#228;fer, M. %A Lengauer, Thomas %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Automated Layout Generation and Wiring Area Estimation for 3D Electronic Modules : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-32FF-8 %F EDOC: 520877 %F OTHER: Local-ID: C125673F004B2D7B-94ADD528CFF03E29C1256B4B0058875F-Lengauer2001g %D 2001 %* Review method: peer-reviewed %J ASME Journal of Machanical Design %V 123 %N 3 %& 330 %P 330 - 336
2000
974. Clee SM, Kastelein JJP, van Dam M, Marcil M, Roomp K, Zwarts KY, Collins JA, Roelants R, Tamasawa N, Stulc T, Suda T, Ceska R, Boucher B, Rondeau C, DeSouich C, Brooks-Wilson A, Molhuizen HO, Frohlich J, Genest JJ, Hayden MR: Age and residual cholesterol efflux affect HDL cholesterol levels and coronary artery disease in ABCA1 heterozygotes. Journal of Clinical Investigation 2000, 106.
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@article{Roomp2000a, TITLE = {Age and residual cholesterol efflux affect {HDL} cholesterol levels and coronary artery disease in {ABCA1} heterozygotes}, AUTHOR = {Clee, Susanne M. and Kastelein, J.J.P. and van Dam, M and Marcil, Michel and Roomp, Kirsten and Zwarts, K.Y. and Collins, Jennifer A. and Roelants, R and Tamasawa, N and Stulc, T and Suda, T and Ceska, R and Boucher, B and Rondeau, C and DeSouich, C and Brooks-Wilson, A and Molhuizen, H.O. and Frohlich, J and Genest, Jacques Jr and Hayden, Michael R.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-8FE001B7F85FC269C1256CF300565009-Roomp2000a}, YEAR = {2000}, DATE = {2000}, JOURNAL = {Journal of Clinical Investigation}, VOLUME = {106}, NUMBER = {10}, PAGES = {1263--70}, }
Endnote
%0 Journal Article %A Clee, Susanne M. %A Kastelein, J.J.P. %A van Dam, M %A Marcil, Michel %A Roomp, Kirsten %A Zwarts, K.Y. %A Collins, Jennifer A. %A Roelants, R %A Tamasawa, N %A Stulc, T %A Suda, T %A Ceska, R %A Boucher, B %A Rondeau, C %A DeSouich, C %A Brooks-Wilson, A %A Molhuizen, H.O. %A Frohlich, J %A Genest, Jacques Jr %A Hayden, Michael R. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Age and residual cholesterol efflux affect HDL cholesterol levels and coronary artery disease in ABCA1 heterozygotes : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3541-7 %F EDOC: 520890 %F OTHER: Local-ID: C125673F004B2D7B-8FE001B7F85FC269C1256CF300565009-Roomp2000a %D 2000 %* Review method: peer-reviewed %J Journal of Clinical Investigation %V 106 %N 10 %& 1263 %P 1263 - 70
1999
975. Brooks-Wilson A, Marcil M, Clee SM, Zhang L-H, Roomp K, van Dam M, Yu L, Brewer C, Collins JA, Molhuizen HO, Loubser O, Ouelette BF, Fichter K, Ashbourne-Excoffon KJ, Sensen CW, Scherer S, Mott S, Denis M, Martindale D, Frohlich J, Morgan K, Koop B, Pimstone S, Kastelein JJP, Hayden MR: Mutations in ABC1 in Tangier disease and familial high-density lipoprotein. Nature Genetics 1999, 22.
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@article{Roomp1999a, TITLE = {Mutations in {ABC1} in Tangier disease and familial high-density lipoprotein}, AUTHOR = {Brooks-Wilson, A and Marcil, Michel and Clee, Susanne M. and Zhang, Lin-Hua and Roomp, Kirsten and van Dam, M and Yu, L and Brewer, C and Collins, Jennifer A. and Molhuizen, H.O. and Loubser, O and Ouelette, B.F. and Fichter, K and Ashbourne-Excoffon, K.J. and Sensen, C.W. and Scherer, S and Mott, S and Denis, M and Martindale, D and Frohlich, J and Morgan, K and Koop, B and Pimstone, S and Kastelein, J.J.P. and Hayden, Michael R.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-7C08E154DDE9668DC1256CF3004648EF-Roomp1999a}, YEAR = {1999}, DATE = {1999}, JOURNAL = {Nature Genetics}, VOLUME = {22}, NUMBER = {4}, PAGES = {336--45}, }
Endnote
%0 Journal Article %A Brooks-Wilson, A %A Marcil, Michel %A Clee, Susanne M. %A Zhang, Lin-Hua %A Roomp, Kirsten %A van Dam, M %A Yu, L %A Brewer, C %A Collins, Jennifer A. %A Molhuizen, H.O. %A Loubser, O %A Ouelette, B.F. %A Fichter, K %A Ashbourne-Excoffon, K.J. %A Sensen, C.W. %A Scherer, S %A Mott, S %A Denis, M %A Martindale, D %A Frohlich, J %A Morgan, K %A Koop, B %A Pimstone, S %A Kastelein, J.J.P. %A Hayden, Michael R. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Mutations in ABC1 in Tangier disease and familial high-density lipoprotein : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3716-E %F EDOC: 520887 %F OTHER: Local-ID: C125673F004B2D7B-7C08E154DDE9668DC1256CF3004648EF-Roomp1999a %D 1999 %* Review method: peer-reviewed %J Nature Genetics %V 22 %N 4 %& 336 %P 336 - 45
976. Marcil M, Brooks-Wilson A, Clee SM, Roomp K, Zhang L-H, Yu L, Collins JA, van Dam M, Molhuizen HO, Loubser O, Ouelette BF, Sensen CW, Fichter K, Mott S, Denis M, Boucher B, Pimstone S, Genest J, Kastelein JJP, Hayden MR: Mutations in the ABC1 gene in familial HDL deficiency with defective cholesterol efflux. The Lancet 1999, 354.
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@article{Roomp1999b, TITLE = {Mutations in the {ABC1} gene in familial {HDL} deficiency with defective cholesterol efflux}, AUTHOR = {Marcil, Michel and Brooks-Wilson, A. and Clee, Susanne M. and Roomp, Kirsten and Zhang, Lin-Hua and Yu, L. and Collins, Jennifer A. and van Dam, M. and Molhuizen, H. O. and Loubser, O. and Ouelette, B. F. and Sensen, C. W. and Fichter, K. and Mott, S. and Denis, M. and Boucher, B. and Pimstone, S. and Genest, Jacques and Kastelein, J. J. P. and Hayden, Michael R.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-81D87C8611E25B5CC1256CF3004F0D7F-Roomp1999b}, YEAR = {1999}, DATE = {1999}, JOURNAL = {The Lancet}, VOLUME = {354}, NUMBER = {9187}, PAGES = {1341--6}, }
Endnote
%0 Journal Article %A Marcil, Michel %A Brooks-Wilson, A. %A Clee, Susanne M. %A Roomp, Kirsten %A Zhang, Lin-Hua %A Yu, L. %A Collins, Jennifer A. %A van Dam, M. %A Molhuizen, H. O. %A Loubser, O. %A Ouelette, B. F. %A Sensen, C. W. %A Fichter, K. %A Mott, S. %A Denis, M. %A Boucher, B. %A Pimstone, S. %A Genest, Jacques %A Kastelein, J. J. P. %A Hayden, Michael R. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Mutations in the ABC1 gene in familial HDL deficiency with defective cholesterol efflux : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3718-A %F EDOC: 520888 %F OTHER: Local-ID: C125673F004B2D7B-81D87C8611E25B5CC1256CF3004F0D7F-Roomp1999b %D 1999 %* Review method: peer-reviewed %J The Lancet %V 354 %N 9187 %& 1341 %P 1341 - 6
977. Vorobyov S: Subtyping Functional+Nonempty Record Types. In Proceedings of the 12th International Workshop on Computer Science Logic (CSL-98), Annual Conference on the EACSL. Springer; 1999. [Lecture Notes in Computer Science, vol. 1584]
Abstract
\begin{abstract} \emph{Solving systems of subtype constraints} (or \emph{subtype inequalities}) is in the core of efficient \emph{type reconstruction} in modern object-oriented languages with subtyping and inheritance, two problems known \emph{polynomial time equivalent}. It is important to know how different combinations of type constructors influence the complexity of the problem. We show the \emph{NP-hardness} of the satisfiability problem for subtype inequalities between object types built by using simultaneously both the functional and the non-empty record type constructors, but without any atomic types and atomic subtyping. The class of constraints we address is intermediate with respect to known classes. For pure functional types with atomic subtyping of a special non-lattice (\emph{crown}) form solving subtype constraints is PSPACE-complete \cite{Tiuryn92,Frey97}. On the other hand, if there are no atomic types and subtyping on them, but the largest $\top$ type is included, then both pure functional and pure record (separately) subtype constraints are \emph{polynomial time solvable} \cite{KozenPalsbergSchwartzbach94,Palsberg95ic}, which is mainly due to the lattice type structure. We show that combining the functional and nonempty record constructors yields NP-hardness \emph{without any atomic subtyping}, and the same is true for just a single type constant with a nonempty record constructor. \end{abstract}
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@inproceedings{Vorobyov1998CSL, TITLE = {Subtyping Functional+Nonempty Record Types}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, ISBN = {3-540-65922-6}, LOCALID = {Local-ID: C1256104005ECAFC-B535BC26FE7E2720412566FA003F0BE5-Vorobyov1998CSL}, PUBLISHER = {Springer}, YEAR = {1999}, DATE = {1999}, ABSTRACT = {\begin{abstract} \emph{Solving systems of subtype constraints} (or \emph{subtype inequalities}) is in the core of efficient \emph{type reconstruction} in modern object-oriented languages with subtyping and inheritance, two problems known \emph{polynomial time equivalent}. It is important to know how different combinations of type constructors influence the complexity of the problem. We show the \emph{NP-hardness} of the satisfiability problem for subtype inequalities between object types built by using simultaneously both the functional and the non-empty record type constructors, but without any atomic types and atomic subtyping. The class of constraints we address is intermediate with respect to known classes. For pure functional types with atomic subtyping of a special non-lattice (\emph{crown}) form solving subtype constraints is PSPACE-complete \cite{Tiuryn92,Frey97}. On the other hand, if there are no atomic types and subtyping on them, but the largest $\top$ type is included, then both pure functional and pure record (separately) subtype constraints are \emph{polynomial time solvable} \cite{KozenPalsbergSchwartzbach94,Palsberg95ic}, which is mainly due to the lattice type structure. We show that combining the functional and nonempty record constructors yields NP-hardness \emph{without any atomic subtyping}, and the same is true for just a single type constant with a nonempty record constructor. \end{abstract}}, BOOKTITLE = {Proceedings of the 12th International Workshop on Computer Science Logic (CSL-98), Annual Conference on the EACSL}, EDITOR = {Gottlob, Georg and Grandjean, Etienne and Seyr, Katrin}, PAGES = {285--297}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {1584}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T Subtyping Functional+Nonempty Record Types : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3699-E %F EDOC: 519677 %F OTHER: Local-ID: C1256104005ECAFC-B535BC26FE7E2720412566FA003F0BE5-Vorobyov1998CSL %D 1999 %B Untitled Event %Z date of event: 1999 - %C Brno, Czech Republic %X \begin{abstract} \emph{Solving systems of subtype constraints} (or \emph{subtype inequalities}) is in the core of efficient \emph{type reconstruction} in modern object-oriented languages with subtyping and inheritance, two problems known \emph{polynomial time equivalent}. It is important to know how different combinations of type constructors influence the complexity of the problem. We show the \emph{NP-hardness} of the satisfiability problem for subtype inequalities between object types built by using simultaneously both the functional and the non-empty record type constructors, but without any atomic types and atomic subtyping. The class of constraints we address is intermediate with respect to known classes. For pure functional types with atomic subtyping of a special non-lattice (\emph{crown}) form solving subtype constraints is PSPACE-complete \cite{Tiuryn92,Frey97}. On the other hand, if there are no atomic types and subtyping on them, but the largest $\top$ type is included, then both pure functional and pure record (separately) subtype constraints are \emph{polynomial time solvable} \cite{KozenPalsbergSchwartzbach94,Palsberg95ic}, which is mainly due to the lattice type structure. We show that combining the functional and nonempty record constructors yields NP-hardness \emph{without any atomic subtyping}, and the same is true for just a single type constant with a nonempty record constructor. \end{abstract} %B Proceedings of the 12th International Workshop on Computer Science Logic (CSL-98), Annual Conference on the EACSL %E Gottlob, Georg; Grandjean, Etienne; Seyr, Katrin %P 285 - 297 %I Springer %@ 3-540-65922-6 %B Lecture Notes in Computer Science %N 1584
1998
978. Vorobyov S: $\forall\exists^\ast$-Equational Theory of Context Unification is $\Pi_1^0$-Hard. In Proceedings of the 23rd International Symposium on Mathematical Foundations of Computer Science (MFCS-98). Springer; 1998. [Lecture Notes in Computer Science, vol. 1450]
Abstract
\begin{abstract} Context unification is a particular case of second-order unification, where all second-order variables are \emph{unary} and only \emph{linear} functions are sought for as solutions. Its decidability is an open problem. We present the simplest (currently known) undecidable quantified fragment of the theory of \emph{context unification} by showing that for every signature containing a $\geq\!2$-ary symbol one can construct a \emph{context equation} ${\mathcal E}\,(p,r,\overline{F},\overline{w})$ with parameter $p$, first-order variables $r$, $\overline{w}$, and context variables $\overline{F}$ such that the set of true sentences of the form \[\forall r\;\exists\;\overline{F}\;\exists\;\overline{w}\;\; {\mathcal E}(p,r,\overline{F},\overline{w})\] is $\Pi_1^0$-hard (i.e., every co-r.e. set is many-one reducible to it), as $p$ ranges over finite words of a binary alphabet. Moreover, the existential prefix above contains just 5 context and 3 first-order variables. \end{abstract}
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@inproceedings{Vorobyov1998MFCS, TITLE = {\${\textbackslash}forall{\textbackslash}exists{\textasciicircum}{\textbackslash}ast\$-Equational Theory of Context Unification is \${\textbackslash}Pi{\textunderscore}1{\textasciicircum}0\$-Hard}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, ISBN = {3-540-64827-5}, LOCALID = {Local-ID: C1256104005ECAFC-55E49321AE36A06D412566FA003E613F-Vorobyov1998MFCS}, PUBLISHER = {Springer}, YEAR = {1998}, DATE = {1998}, ABSTRACT = {\begin{abstract} Context unification is a particular case of second-order unification, where all second-order variables are \emph{unary} and only \emph{linear} functions are sought for as solutions. Its decidability is an open problem. We present the simplest (currently known) undecidable quantified fragment of the theory of \emph{context unification} by showing that for every signature containing a $\geq\!2$-ary symbol one can construct a \emph{context equation} ${\mathcal E}\,(p,r,\overline{F},\overline{w})$ with parameter $p$, first-order variables $r$, $\overline{w}$, and context variables $\overline{F}$ such that the set of true sentences of the form \[\forall r\;\exists\;\overline{F}\;\exists\;\overline{w}\;\; {\mathcal E}(p,r,\overline{F},\overline{w})\] is $\Pi_1^0$-hard (i.e., every co-r.e. set is many-one reducible to it), as $p$ ranges over finite words of a binary alphabet. Moreover, the existential prefix above contains just 5 context and 3 first-order variables. \end{abstract}}, BOOKTITLE = {Proceedings of the 23rd International Symposium on Mathematical Foundations of Computer Science (MFCS-98)}, EDITOR = {Brim, Lubos and Gruska, Jozef and Zlatuska, Jir{\'i}}, PAGES = {597--606}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {1450}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T $\forall\exists^\ast$-Equational Theory of Context Unification is $\Pi_1^0$-Hard : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-383A-5 %F EDOC: 519674 %F OTHER: Local-ID: C1256104005ECAFC-55E49321AE36A06D412566FA003E613F-Vorobyov1998MFCS %D 1998 %B Untitled Event %Z date of event: 1998 - %C Brno, Czech Republic %X \begin{abstract} Context unification is a particular case of second-order unification, where all second-order variables are \emph{unary} and only \emph{linear} functions are sought for as solutions. Its decidability is an open problem. We present the simplest (currently known) undecidable quantified fragment of the theory of \emph{context unification} by showing that for every signature containing a $\geq\!2$-ary symbol one can construct a \emph{context equation} ${\mathcal E}\,(p,r,\overline{F},\overline{w})$ with parameter $p$, first-order variables $r$, $\overline{w}$, and context variables $\overline{F}$ such that the set of true sentences of the form \[\forall r\;\exists\;\overline{F}\;\exists\;\overline{w}\;\; {\mathcal E}(p,r,\overline{F},\overline{w})\] is $\Pi_1^0$-hard (i.e., every co-r.e. set is many-one reducible to it), as $p$ ranges over finite words of a binary alphabet. Moreover, the existential prefix above contains just 5 context and 3 first-order variables. \end{abstract} %B Proceedings of the 23rd International Symposium on Mathematical Foundations of Computer Science (MFCS-98) %E Brim, Lubos; Gruska, Jozef; Zlatuska, Jir&#237; %P 597 - 606 %I Springer %@ 3-540-64827-5 %B Lecture Notes in Computer Science %N 1450
979. Vorobyov S, Voronkov A: Complexity of Nonrecursive Logic Programs with Complex Values. In Proceedings of the 17th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS-98). ACM; 1998.
Abstract
We investigate complexity of the $\success$ problem for logic query languages with complex values: check whether a query defines a nonempty set. The $\success$ problem for recursive query languages with complex values is undecidable, so we study the complexity of nonrecursive queries. By complex values we understand values such as trees, finite sets, and multisets. Due to the well-known correspondence between relational query languages and datalog, our results can be considered as results about relational query languages with complex values. The paper gives a complete complexity classification of the $\success$ problem for nonrecursive logic programs over trees depending on the underlying signature, presence of negation, and range restrictedness. We also prove several results about finite sets and multisets.
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@inproceedings{VorobyovVoronkov1998PODS, TITLE = {Complexity of Nonrecursive Logic Programs with Complex Values}, AUTHOR = {Vorobyov, Sergei and Voronkov, Andrei}, LANGUAGE = {eng}, ISBN = {0-89791-996-3}, LOCALID = {Local-ID: C1256104005ECAFC-64E8BC346A5A1603412566FA003D63DA-VorobyovVoronkov1998PODS}, PUBLISHER = {ACM}, YEAR = {1998}, DATE = {1998}, ABSTRACT = {We investigate complexity of the $\success$ problem for logic query languages with complex values: check whether a query defines a nonempty set. The $\success$ problem for recursive query languages with complex values is undecidable, so we study the complexity of nonrecursive queries. By complex values we understand values such as trees, finite sets, and multisets. Due to the well-known correspondence between relational query languages and datalog, our results can be considered as results about relational query languages with complex values. The paper gives a complete complexity classification of the $\success$ problem for nonrecursive logic programs over trees depending on the underlying signature, presence of negation, and range restrictedness. We also prove several results about finite sets and multisets.}, BOOKTITLE = {Proceedings of the 17th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS-98)}, PAGES = {244--253}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %A Voronkov, Andrei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T Complexity of Nonrecursive Logic Programs with Complex Values : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3824-6 %F EDOC: 519675 %F OTHER: Local-ID: C1256104005ECAFC-64E8BC346A5A1603412566FA003D63DA-VorobyovVoronkov1998PODS %I ACM %D 1998 %B Untitled Event %Z date of event: - %C Saeattle, Washington, U.S.A. %X We investigate complexity of the $\success$ problem for logic query languages with complex values: check whether a query defines a nonempty set. The $\success$ problem for recursive query languages with complex values is undecidable, so we study the complexity of nonrecursive queries. By complex values we understand values such as trees, finite sets, and multisets. Due to the well-known correspondence between relational query languages and datalog, our results can be considered as results about relational query languages with complex values. The paper gives a complete complexity classification of the $\success$ problem for nonrecursive logic programs over trees depending on the underlying signature, presence of negation, and range restrictedness. We also prove several results about finite sets and multisets. %B Proceedings of the 17th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS-98) %P 244 - 253 %I ACM %@ 0-89791-996-3
1997
980. Vorobyov S: The First-order Theory of One Step Rewriting in Linear Noetherian Systems is Undecidable. In Rewriting Techniques and Applications (RTA 1997). Springer; 1997. [Lecture Notes in Computer Science, vol. 1232]
Abstract
We construct a finite linear finitely terminating rewrite rule <br>system with undecidable theory of one step rewriting.
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@inproceedings{Vorobyov_RTA97, TITLE = {The First-order Theory of One Step Rewriting in Linear Noetherian Systems is Undecidable}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, ISBN = {978-3-540-62950-4}, DOI = {10.1007/3-540-62950-5_76}, LOCALID = {Local-ID: C1256104005ECAFC-0D60796ECA1D1B79C1256457004A7EEC-Vorobyov97RTA97}, PUBLISHER = {Springer}, YEAR = {1997}, DATE = {1997}, ABSTRACT = {We construct a finite linear finitely terminating rewrite rule <br>system with undecidable theory of one step rewriting.}, BOOKTITLE = {Rewriting Techniques and Applications (RTA 1997)}, EDITOR = {Comon, Hubert}, PAGES = {254--268}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {1232}, ADDRESS = {Sitges, Spain}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T The First-order Theory of One Step Rewriting in Linear Noetherian Systems is Undecidable : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3A1D-8 %F EDOC: 519463 %F OTHER: Local-ID: C1256104005ECAFC-0D60796ECA1D1B79C1256457004A7EEC-Vorobyov97RTA97 %R 10.1007/3-540-62950-5_76 %D 1997 %B 8th International Conference on Rewriting Techniques and Applications %Z date of event: 1997-06-02 - 1997-06-05 %C Sitges, Spain %X We construct a finite linear finitely terminating rewrite rule <br>system with undecidable theory of one step rewriting. %B Rewriting Techniques and Applications %E Comon, Hubert %P 254 - 268 %I Springer %@ 978-3-540-62950-4 %B Lecture Notes in Computer Science %N 1232 %U https://rdcu.be/dvwWI
981. Vorobyov S: The `hardest´ natural decidable theory. In Proceedings of the Twelfth Annual IEEE Symposium on Logic in Computer Science (LICS-97). IEEE; 1997.
Abstract
Since mid-seventies it was an open problem as to whether there exist natural decidable theories requiring time (lower bound) exceeding any linearly growing towers of 2s to decide. It was conjectured that all natural decidable theories can be decided (upper bound) within time bounded by a tower of 2s growing linearly with the length of input. Although it happens to be true for the majority of non-elementary theories (Rabin's S2S, theory of term algebras, extended regular expressions, etc), the conjecture fails. We demonstrate that a modest fragment of L.Henkin's theory of propositional types (1963) has the tower of 2s growing *exponentially* with the length of input as a lower bound. This new unprecedentedly high lower bound allows us to considerably improve the known lower bounds and to settle the new ones for other theories.
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@inproceedings{Vorobyov97LICS97, TITLE = {The `hardest' natural decidable theory}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, ISBN = {0-8186-7925-5}, LOCALID = {Local-ID: C1256104005ECAFC-8AE1EBA7A40BED5BC1256457004B4935-Vorobyov97LICS97}, PUBLISHER = {IEEE}, YEAR = {2003}, DATE = {1997}, ABSTRACT = {Since mid-seventies it was an open problem as to whether there exist natural decidable theories requiring time (lower bound) exceeding any linearly growing towers of 2s to decide. It was conjectured that all natural decidable theories can be decided (upper bound) within time bounded by a tower of 2s growing linearly with the length of input. Although it happens to be true for the majority of non-elementary theories (Rabin's S2S, theory of term algebras, extended regular expressions, etc), the conjecture fails. We demonstrate that a modest fragment of L.Henkin's theory of propositional types (1963) has the tower of 2s growing *exponentially* with the length of input as a lower bound. This new unprecedentedly high lower bound allows us to considerably improve the known lower bounds and to settle the new ones for other theories.}, BOOKTITLE = {Proceedings of the Twelfth Annual IEEE Symposium on Logic in Computer Science (LICS-97)}, EDITOR = {Winskel, Glynn}, PAGES = {294--305}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T The `hardest&#180; natural decidable theory : %G eng %U http://hdl.handle.net/11858/00-001M-0000-000F-3A20-F %F EDOC: 519561 %F OTHER: Local-ID: C1256104005ECAFC-8AE1EBA7A40BED5BC1256457004B4935-Vorobyov97LICS97 %I IEEE %D 1997 %B Untitled Event %Z date of event: 2003-07-08 - 2003-07-12 %C Warsaw, Poland %X Since mid-seventies it was an open problem as to whether there exist natural decidable theories requiring time (lower bound) exceeding any linearly growing towers of 2s to decide. It was conjectured that all natural decidable theories can be decided (upper bound) within time bounded by a tower of 2s growing linearly with the length of input. Although it happens to be true for the majority of non-elementary theories (Rabin's S2S, theory of term algebras, extended regular expressions, etc), the conjecture fails. We demonstrate that a modest fragment of L.Henkin's theory of propositional types (1963) has the tower of 2s growing *exponentially* with the length of input as a lower bound. This new unprecedentedly high lower bound allows us to considerably improve the known lower bounds and to settle the new ones for other theories. %B Proceedings of the Twelfth Annual IEEE Symposium on Logic in Computer Science (LICS-97) %E Winskel, Glynn %P 294 - 305 %I IEEE %@ 0-8186-7925-5
1996
982. Vorobyov S: On the Bounded Theories of Finite Trees. In Concurrency and Parallelism, Programming, Networking, and Security (ASIAN 1996). Springer; 1996. [Lecture Notes in Computer Science, vol. 1179]
Abstract
The theory of finite trees is the full first-order theory of<br> equality in the Herbrand universum (the set of ground terms) over a<br> functional signature containing non-unary function symbols and<br> constants. Albeit decidable, this theory turns out to be of<br> non-elementary complexity [Vorobyov96CADE96].<br> <br> To overcome the intractability of the theory of finite trees, we<br> introduce in this paper the bounded theory of finite trees.<br> This theory replaces the usual equality $=$, interpreted as<br> identity, with the infinite family of approximate equalities<br> ``down to a fixed given depth'' $\{=^d\}_{d\in\omega}$, with $d$<br> written in binary notation, and $s=^dt$ meaning that the ground<br> terms $s$ and $t$ coincide if all their branches longer than $d$ are<br> cut off.<br> <br> By using a refinement of Ferrante-Rackoff's complexity-tailored<br> Ehrenfeucht-Fraisse games, we demonstrate that the bounded theory of finite <br>trees<br> can be decided within linear double exponential space<br> $2^{2^{cn}}$ ($n$ is the length of input) for some constant $c>0$.
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@inproceedings{Vorobyov_ASIAN96, TITLE = {On the Bounded Theories of Finite Trees}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, ISBN = {978-3-540-62031-0}, DOI = {10.1007/BFb0027788}, LOCALID = {Local-ID: C1256104005ECAFC-F79A9507CD9D39E4C12564570040AE2A-Vorobyov96ASIAN96}, PUBLISHER = {Springer}, YEAR = {1996}, DATE = {1996}, ABSTRACT = {The theory of finite trees is the full first-order theory of<br> equality in the Herbrand universum (the set of ground terms) over a<br> functional signature containing non-unary function symbols and<br> constants. Albeit decidable, this theory turns out to be of<br> non-elementary complexity [Vorobyov96CADE96].<br> <br> To overcome the intractability of the theory of finite trees, we<br> introduce in this paper the bounded theory of finite trees.<br> This theory replaces the usual equality $=$, interpreted as<br> identity, with the infinite family of approximate equalities<br> ``down to a fixed given depth'' $\{=^d\}_{d\in\omega}$, with $d$<br> written in binary notation, and $s=^dt$ meaning that the ground<br> terms $s$ and $t$ coincide if all their branches longer than $d$ are<br> cut off.<br> <br> By using a refinement of Ferrante-Rackoff's complexity-tailored<br> Ehrenfeucht-Fraisse games, we demonstrate that the bounded theory of finite <br>trees<br> can be decided within linear double exponential space<br> $2^{2^{cn}}$ ($n$ is the length of input) for some constant $c>0$.}, BOOKTITLE = {Concurrency and Parallelism, Programming, Networking, and Security (ASIAN 1996)}, EDITOR = {Jaffar, Joxan and Yap, Roland H. C.}, PAGES = {152--161}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {1179}, ADDRESS = {Singapore}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T On the Bounded Theories of Finite Trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-ABF4-7 %F EDOC: 519642 %F OTHER: Local-ID: C1256104005ECAFC-F79A9507CD9D39E4C12564570040AE2A-Vorobyov96ASIAN96 %R 10.1007/BFb0027788 %D 1996 %B Second Asian Computing Science Conference %Z date of event: 1996-12-02 - 1996-12-05 %C Singapore %X The theory of finite trees is the full first-order theory of<br> equality in the Herbrand universum (the set of ground terms) over a<br> functional signature containing non-unary function symbols and<br> constants. Albeit decidable, this theory turns out to be of<br> non-elementary complexity [Vorobyov96CADE96].<br> <br> To overcome the intractability of the theory of finite trees, we<br> introduce in this paper the bounded theory of finite trees.<br> This theory replaces the usual equality $=$, interpreted as<br> identity, with the infinite family of approximate equalities<br> ``down to a fixed given depth'' $\{=^d\}_{d\in\omega}$, with $d$<br> written in binary notation, and $s=^dt$ meaning that the ground<br> terms $s$ and $t$ coincide if all their branches longer than $d$ are<br> cut off.<br> <br> By using a refinement of Ferrante-Rackoff's complexity-tailored<br> Ehrenfeucht-Fraisse games, we demonstrate that the bounded theory of finite <br>trees<br> can be decided within linear double exponential space<br> $2^{2^{cn}}$ ($n$ is the length of input) for some constant $c>0$. %B Concurrency and Parallelism, Programming, Networking, and Security %E Jaffar, Joxan; Yap, Roland H. C. %P 152 - 161 %I Springer %@ 978-3-540-62031-0 %B Lecture Notes in Computer Science %N 1179 %U https://rdcu.be/dv1a4
983. Vorobyov S: An improved lower bound for the elementary theories of trees. In Proceedings of the 13th International Conference on Automated Deduction (CADE-13). Springer; 1996. [Lecture Notes in Artificial Intelligence, vol. 1104]
Abstract
The first-order theories of finite and rational, constructor and<br> feature trees possess complete axiomatizations and are decidable by<br> quantifier elimination [Malcev 61, Kunen 87, Maher 88,<br> Comon-Lescanne 89, Hodges 93, Backofen-Smolka 92, Smolka-Treinen 92,<br> Backofen-Treinen94, Backofen95].<br> By using the uniform inseparability lower bounds techniques due to<br> [Compton-Henson 90], based on representing<br> large binary relations by means of short formulas manipulating with<br> high trees, we prove that all the above theories, as well as all<br> their subtheories, are NON-ELEMENTARY in the sense of<br> Kalmar, i.e., cannot be decided within time bounded by a $k$-story<br> exponential function for any fixed $k$.<br> Moreover, for some constant $d>0$ these decision problems require<br> nondeterministic time exceeding $\exp_\infty(dn)$
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@inproceedings{Vorobyov_CADE96, TITLE = {An improved lower bound for the elementary theories of trees}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, ISBN = {978-3-540-61511-8}, DOI = {10.1007/3-540-61511-3_91}, LOCALID = {Local-ID: C1256104005ECAFC-08887CC6B2CDDAE0C1256457003F815F-Vorobyov96CADE96}, PUBLISHER = {Springer}, YEAR = {1996}, DATE = {1996}, ABSTRACT = {The first-order theories of finite and rational, constructor and<br> feature trees possess complete axiomatizations and are decidable by<br> quantifier elimination [Malcev 61, Kunen 87, Maher 88,<br> Comon-Lescanne 89, Hodges 93, Backofen-Smolka 92, Smolka-Treinen 92,<br> Backofen-Treinen94, Backofen95].<br> By using the uniform inseparability lower bounds techniques due to<br> [Compton-Henson 90], based on representing<br> large binary relations by means of short formulas manipulating with<br> high trees, we prove that all the above theories, as well as all<br> their subtheories, are NON-ELEMENTARY in the sense of<br> Kalmar, i.e., cannot be decided within time bounded by a $k$-story<br> exponential function for any fixed $k$.<br> Moreover, for some constant $d>0$ these decision problems require<br> nondeterministic time exceeding $\exp_\infty(dn)$}, BOOKTITLE = {Proceedings of the 13th International Conference on Automated Deduction (CADE-13)}, EDITOR = {McRobbie, M. A. and Slaney, J. K.}, PAGES = {275--287}, SERIES = {Lecture Notes in Artificial Intelligence}, VOLUME = {1104}, ADDRESS = {New Brunswick, USA}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T An improved lower bound for the elementary theories of trees : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-ABC5-F %F EDOC: 519458 %F OTHER: Local-ID: C1256104005ECAFC-08887CC6B2CDDAE0C1256457003F815F-Vorobyov96CADE96 %R 10.1007/3-540-61511-3_91 %D 1996 %B 13th International Conference on Automated Deduction %Z date of event: 1996-07-30 - 1996-08-03 %C New Brunswick, USA %X The first-order theories of finite and rational, constructor and<br> feature trees possess complete axiomatizations and are decidable by<br> quantifier elimination [Malcev 61, Kunen 87, Maher 88,<br> Comon-Lescanne 89, Hodges 93, Backofen-Smolka 92, Smolka-Treinen 92,<br> Backofen-Treinen94, Backofen95].<br> By using the uniform inseparability lower bounds techniques due to<br> [Compton-Henson 90], based on representing<br> large binary relations by means of short formulas manipulating with<br> high trees, we prove that all the above theories, as well as all<br> their subtheories, are NON-ELEMENTARY in the sense of<br> Kalmar, i.e., cannot be decided within time bounded by a $k$-story<br> exponential function for any fixed $k$.<br> Moreover, for some constant $d>0$ these decision problems require<br> nondeterministic time exceeding $\exp_\infty(dn)$ %B Proceedings of the 13th International Conference on Automated Deduction (CADE-13) %E McRobbie, M. A.; Slaney, J. K. %P 275 - 287 %I Springer %@ 978-3-540-61511-8 %B Lecture Notes in Artificial Intelligence %N 1104 %U https://rdcu.be/dttRa
1995
984. Stohr H, Roomp K, Felbor U, Weber BH: Genomic organization of the human tissue inhibitor of metalloproteinases-3 (TIMP3). Genome Research 1995, 5.
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@article{Roomp1995a, TITLE = {Genomic organization of the human tissue inhibitor of metalloproteinases-3 ({TIMP3})}, AUTHOR = {Stohr, H. and Roomp, Kirsten and Felbor, U. and Weber, B. H.}, LANGUAGE = {eng}, LOCALID = {Local-ID: C125673F004B2D7B-8E307916145D5B82C1256CF30045138E-Roomp1995a}, YEAR = {1995}, DATE = {1995}, JOURNAL = {Genome Research}, VOLUME = {5}, NUMBER = {5}, PAGES = {483--7}, }
Endnote
%0 Journal Article %A Stohr, H. %A Roomp, Kirsten %A Felbor, U. %A Weber, B. H. %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T Genomic organization of the human tissue inhibitor of metalloproteinases-3 (TIMP3) : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AD2D-A %F EDOC: 520885 %F OTHER: Local-ID: C125673F004B2D7B-8E307916145D5B82C1256CF30045138E-Roomp1995a %D 1995 %* Review method: peer-reviewed %J Genome Research %V 5 %N 5 %& 483 %P 483 - 7
985. Vorobyov S: Fa with Recursive Types: “Types-as-Propositions” Interpretations in M. Rabin’s S2S. In Proceedings of JFLA’95: Journées Francophones des Langages Applicatifs. INRIA; 1995.
Abstract
Subtyping judgments of the polymorphic second-order typed<br>lambda-calculus Fsub extended by recursive types and different known<br>inference rules for these types could be interpreted in S2S, M.Rabin's<br>monadic second-order theory of two successor functions. On the one hand,<br>this provides a comprehensible model of the parametric and inheritance<br>polymorphisms over recursive types, on the other, proves that the<br>corresponding subtyping theories are not essentially undecidable, i.e.,<br>possess consistent decidable extensions.
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@inproceedings{Vorobyov94b, TITLE = {Fa with Recursive Types: "Types-as-Propositions" Interpretations in M. Rabin's {S2S}}, AUTHOR = {Vorobyov, Sergei}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256104005ECAFC-D7347E97BF1DBC85C125615F0036C2F9-Vorobyov94b}, PUBLISHER = {INRIA}, YEAR = {1995}, DATE = {1995}, ABSTRACT = {Subtyping judgments of the polymorphic second-order typed<br>lambda-calculus Fsub extended by recursive types and different known<br>inference rules for these types could be interpreted in S2S, M.Rabin's<br>monadic second-order theory of two successor functions. On the one hand,<br>this provides a comprehensible model of the parametric and inheritance<br>polymorphisms over recursive types, on the other, proves that the<br>corresponding subtyping theories are not essentially undecidable, i.e.,<br>possess consistent decidable extensions.}, BOOKTITLE = {Proceedings of JFLA'95: Journ{\'e}es Francophones des Langages Applicatifs}, PAGES = {49--73}, ADDRESS = {Bois d'Amont, France}, }
Endnote
%0 Conference Proceedings %A Vorobyov, Sergei %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Programming Logics, MPI for Informatics, Max Planck Society %T Fa with Recursive Types: "Types-as-Propositions" Interpretations in M. Rabin's S2S : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AD00-C %F EDOC: 519617 %F OTHER: Local-ID: C1256104005ECAFC-D7347E97BF1DBC85C125615F0036C2F9-Vorobyov94b %D 1995 %B Journ&#233;es Francophones des Langages Applicatifs 1995 %Z date of event: 1995 - %C Bois d'Amont, France %X Subtyping judgments of the polymorphic second-order typed<br>lambda-calculus Fsub extended by recursive types and different known<br>inference rules for these types could be interpreted in S2S, M.Rabin's<br>monadic second-order theory of two successor functions. On the one hand,<br>this provides a comprehensible model of the parametric and inheritance<br>polymorphisms over recursive types, on the other, proves that the<br>corresponding subtyping theories are not essentially undecidable, i.e.,<br>possess consistent decidable extensions. %B Proceedings of JFLA'95: Journ&#233;es Francophones des Langages Applicatifs %P 49 - 73 %I INRIA
1990
986. Mehlhorn K, Meiser S, Ó’Dúnlaing C: On the Construction of Abstract Voronoi Diagrams. In Theoretical aspects of computer science (STACS-90) : 7th annual symposium. Edited by Choffrut C, Lengauer T. Springer; 1990. [Lecture Notes in Computer Science]
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@inproceedings{Mehlhorn90a, TITLE = {On the Construction of Abstract Voronoi Diagrams}, AUTHOR = {Mehlhorn, Kurt and Meiser, Stefan and {\'O}'D{\'u}nlaing, Colm}, EDITOR = {Choffrut, Christian and Lengauer, Thomas}, LANGUAGE = {eng}, ISBN = {3-540-52282-4}, LOCALID = {Local-ID: C1256428004B93B8-E230671A0524C88BC12570830047A546-Mehlhorn90a}, PUBLISHER = {Springer}, YEAR = {1990}, DATE = {1990}, BOOKTITLE = {Theoretical aspects of computer science (STACS-90) : 7th annual symposium}, PAGES = {227--239}, SERIES = {Lecture Notes in Computer Science}, }
Endnote
%0 Conference Proceedings %A Mehlhorn, Kurt %A Meiser, Stefan %A &#211;'D&#250;nlaing, Colm %E Choffrut, Christian %E Lengauer, Thomas %+ Algorithms and Complexity, MPI for Informatics, Max Planck Society Max Planck Society Max Planck Society Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society %T On the Construction of Abstract Voronoi Diagrams : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AE3F-7 %F EDOC: 344540 %F OTHER: Local-ID: C1256428004B93B8-E230671A0524C88BC12570830047A546-Mehlhorn90a %I Springer %D 1990 %B Untitled Event %Z date of event: 1990-02-22 - %C Rouen, France %B Theoretical aspects of computer science (STACS-90) : 7th annual symposium %P 227 - 239 %I Springer %@ 3-540-52282-4 %B Lecture Notes in Computer Science
1986
987. Lengauer T, Mehlhorn K: VLSI complexity, efficient VLSI algorithms and the HILL design system. In Algorithmics for VLSI. Edited by Trullemans C. London ; Orlando: Academic Press; 1986. [International Lecture Series in Computer Science]
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@incollection{mehlhorn86, TITLE = {{VLSI} complexity, efficient {VLSI} algorithms and the {HILL} design system}, AUTHOR = {Lengauer, Thomas and Mehlhorn, Kurt}, EDITOR = {Trullemans, C}, LANGUAGE = {eng}, ISBN = {0-12-701230-3}, LOCALID = {Local-ID: C1256428004B93B8-A6BDAC462F9D61EEC12571C5004D4786-mehlhorn86}, PUBLISHER = {Academic Press}, ADDRESS = {London ; Orlando}, YEAR = {1986}, DATE = {1986}, BOOKTITLE = {Algorithmics for VLSI}, DEBUG = {editor: Trullemans, C}, PAGES = {33--89}, SERIES = {International lecture series in computer science}, }
Endnote
%0 Book Section %A Lengauer, Thomas %A Mehlhorn, Kurt %E Trullemans, C %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society Max Planck Society %T VLSI complexity, efficient VLSI algorithms and the HILL design system : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AED5-6 %F EDOC: 344692 %F OTHER: Local-ID: C1256428004B93B8-A6BDAC462F9D61EEC12571C5004D4786-mehlhorn86 %I Academic Press %C London ; Orlando %D 1986 %B Algorithmics for VLSI %E Trullemans, C %P 33 - 89 %I Academic Press %C London ; Orlando %@ 0-12-701230-3 %S International lecture series in computer science
1984
988. Lengauer T, Mehlhorn K: Four Results on the Complexity of VLSI Computation. Advances in Computing Research 1984, 2.
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@article{Lengauer-Mehlhorn_ACR84, TITLE = {Four Results on the Complexity of {VLSI} Computation}, AUTHOR = {Lengauer, Thomas and Mehlhorn, Kurt}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256428004B93B8-AE54E4D7389391F7C12571C50040A095-mehlhorn84m}, PUBLISHER = {JAI Press Inc.}, ADDRESS = {San Jose, CA}, YEAR = {1984}, DATE = {1984}, JOURNAL = {Advances in Computing Research}, VOLUME = {2}, PAGES = {1--22}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Mehlhorn, Kurt %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Four Results on the Complexity of VLSI Computation : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AF16-E %F EDOC: 344683 %F OTHER: Local-ID: C1256428004B93B8-AE54E4D7389391F7C12571C50040A095-mehlhorn84m %D 1984 %* Review method: peer-reviewed %J Advances in Computing Research %V 2 %& 1 %P 1 - 22 %I JAI Press Inc. %C San Jose, CA
1983
989. Lengauer T, Mehlhorn K: Four results on the complexity of VLSI computations. 1983.
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@misc{mehlhorn83a, TITLE = {Four results on the complexity of {VLSI} computations}, AUTHOR = {Lengauer, Thomas and Mehlhorn, Kurt}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256428004B93B8-99C7B98D9AA68535C12571C0003DEF2B-mehlhorn83a}, YEAR = {1983}, DATE = {1983}, }
Endnote
%0 Generic %A Lengauer, Thomas %A Mehlhorn, Kurt %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T Four results on the complexity of VLSI computations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AF27-8 %F EDOC: 344621 %F OTHER: Local-ID: C1256428004B93B8-99C7B98D9AA68535C12571C0003DEF2B-mehlhorn83a %D 1983
990. Lengauer T, Mehlhorn K: VLSI Complexity, Efficient VLSI Algorithms and the HILL Design System. 1983.
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@misc{mehlhorn83c, TITLE = {{VLSI} Complexity, Efficient {VLSI} Algorithms and the {HILL} Design System}, AUTHOR = {Lengauer, Thomas and Mehlhorn, Kurt}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256428004B93B8-4B7C55FF20ABE389C12571C0003E6B18-mehlhorn83c}, YEAR = {1983}, DATE = {1983}, }
Endnote
%0 Generic %A Lengauer, Thomas %A Mehlhorn, Kurt %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T VLSI Complexity, Efficient VLSI Algorithms and the HILL Design System : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AF29-4 %F EDOC: 344622 %F OTHER: Local-ID: C1256428004B93B8-4B7C55FF20ABE389C12571C0003E6B18-mehlhorn83c %D 1983
1981
991. Lengauer T, Mehlhorn K: On the Complexity of VLSI-Computations. VLSI Systems and Computations 1981, ??
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@article{mehlhorn81g, TITLE = {On the Complexity of {VLSI}-Computations}, AUTHOR = {Lengauer, Thomas and Mehlhorn, Kurt}, LANGUAGE = {eng}, LOCALID = {Local-ID: C1256428004B93B8-0B5F49FB503DB66EC12571C2007A30AB-mehlhorn81g}, YEAR = {1981}, DATE = {1981}, JOURNAL = {VLSI Systems and Computations}, VOLUME = {??}, PAGES = {89--99}, }
Endnote
%0 Journal Article %A Lengauer, Thomas %A Mehlhorn, Kurt %+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society Algorithms and Complexity, MPI for Informatics, Max Planck Society %T On the Complexity of VLSI-Computations : %G eng %U http://hdl.handle.net/11858/00-001M-0000-0014-AF60-6 %F EDOC: 344654 %F OTHER: Local-ID: C1256428004B93B8-0B5F49FB503DB66EC12571C2007A30AB-mehlhorn81g %D 1981 %* Review method: peer-reviewed %J VLSI Systems and Computations %V ?? %& 89 %P 89 - 99