Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und Molekulare Biowissenschaften

Beißbarth, Tim, Prof. Dr.

Associate Professor of Biostatistics


  • Dr. rer. nat, University Heidelberg, 2001
  • Postdoctoral fellow, Department Computational Molecular Biology, Max-Planck-Institute for molecular Genetics, Berlin, 2001-2002
  • Postdoctoral fellow, Department Bioinformatics, WEHI, Melbourne, Australia, 2002-2005
  • Group Leader, Bioinformatics & Modeling, Department Molecular Genome Analysis, DKFZ, Heidelberg, 2005-2008
  • Professor, Statistical Bioinformatics, Department Medical Statistics, University Medical Center, Göttingen, Since 2008



Major Research Interests

The Statistical Bioinformatics group of the department of Medical Statistics is developing statistical applications at methods for biomedical research. We are closely working together with other biostatisticians/bioinformaticists as well as clinical and biological researchers. The focus of the group is the development of methods and tools to analyse biomedical data and to reconstruct biological networks. These methods are implemented mostly in the statistical computing environment of R.

Homepage Department/Research Group

http://www.ams.med.uni-goettingen.de/beissb.shtml

Selected Recent Publications

  • Bayerlová M, Jung K, Kramer F, Klemm F, Bleckmann A, Beißbarth T (2015) Comparative study on gene set and pathway topology-based enrichment methods. BCM Bioinformatics (Oct 16:334)
  • Wachter A, Beißbarth T (2015) pwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge. Bio-informatics 31(18): 3072-4
  • von der Hyde S, Bender C, Henjes F, Sonntag J, Korf U, Beißbarth T (2014). Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines. BMC Systems Biology, 8:75.
  • Jung K, Dihazi H, Bibi A, Dihazi GH, Beißbarth T (2014). Adaption of the global test idea to proteomics data with missing values. Bioinformatics, 30(10):1424-30.
  • Kramer F, Bayerlová M, Klemm F, Bleckmann A, Beißbarth T (2013). rBiopaxParser--an R package to parse, modify and visualize BioPAX data. Bioinformatics, 29(4):520-2.
  • Gade S, Porzelius C, Fälth M, Brase JC, Wuttig D, Kuner R, Binder H, Sültmann H, Beißbarth T (2011). Graph based fusion of miRNA and mRNA expression data improves clinical coutcome prediction in prostate cancer. BMC Bioinformatics, 12(1):488.
  • Bender C, Heyde S, Henjes F, Wiemann S, Korf U, Beißbarth T (2011) Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'. BMC Bioinformatics 2011, 12:291.
  • Johannes M, Fröhlich H, Sültmann H, Beißbarth T (2011) pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery. Bioinformatics, 2011, 27(10):1442-3.
  • Jung K, Becker B, Brunner B, Beißbarth T (2011) Comparison of Global Tests for Functional Gene Sets in Two-Group Designs and Selection of Potentially Effect-causing Genes. Bioinformatics, 2011, 27(10):1377-83.