Dr. Joachim Büch

Address
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Standort
E1 4 - 521
Telefon
+49 681 9325 3118
Fax
+49 681 9325 3099

Academic Degree

  • Dr.rer.nat. (Mathematics), Saarland University, 1984
    Thesis: Bifurkation von Minimalflächen und elementare Katastrophen
    Advisor: Prof. Dr. F. Tomi
  • Diplom (Mathematics), Saarland University, 1980
    Thesis: Ein Morse-Lemma für ausgeartete kritische Punkte und seine Anwendung auf ein spezielles Plateauproblem
    Advisor: Prof. Dr. F. Tomi

Employment

Publications

  1. Conference paper
    BIOIMPR-CS
    “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, 2008.
  2. Article
    BIO
    “EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data,” Genome Biology, vol. 10, 2009.
  3. Article
    BIO
    “StructMAn: Annotation of Single-nucleotide Polymorphisms in the Structural Context,” Nucleic Acids Research, vol. 44, no. W1/Web Server issue, 2016.
  4. Article
    BIO
    “Determination of Phenotypic Resistance Cutoffs from Routine Clinical Data,” Journal of Acquired Immune Deficiency Syndromes, vol. 74, no. 5, 2017.
  5. Article
    BIO
    “Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy,” PLoS ONE, vol. 3, no. 10, 2008.
  6. Article
    BIO
    “DASMIweb: Online Integration, Analysis and Assessment of Distributed Protein Interaction Data,” Nucleic Acids Research, vol. 37, no. Web Server issue, 2009.
  7. Conference poster
    BIO
    “A Computational Method for Predicting First-Line Antiretroviral Therapy Success.” 2011.
  8. Article
    BIO
    “DASMI: Exchanging, Annotating and Assessing Molecular Interaction Data,” Bioinformatics, vol. 25, no. 10, 2009.
  9. Article
    BIO
    “Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno-THEO on a Large Clinical Database,” The Journal of Infectious Diseases, vol. 199, no. 7, 2009.
  10. Article
    BIO
    “Predicting HIV coreceptor usage on the basis of genetic and clinical covariates,” Antiviral Therapy, vol. 12, no. 7, 2007.
  11. Article
    BIO
    “Geno2pheno[ngs-freq]: a Genotypic Interpretation System for Identifying Viral Drug Resistance using Next-Generation Sequencing Data,” Nucleic Acids Research, vol. 46, no. Web Server issue, 2018.
  12. Conference report
    BIO
    “Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV,” Data Integration in the Life Sciences (DILS 2006). Springer, Berlin, 2006.
  13. Conference poster
    BIO
    “The EuResist Approach for Predicting Response to Anti HIV-1 Therapy,” Reviews in Antiviral Therapy, vol. 2008, no. 2. Virology Education, Utrecht, 2008.

Responsibilities

  • System Integration and Service
  • Database Support
  • Web Applicaltion Development