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Method development in computational biology

Oliver Kohlbacher

  • Ph.D. in Computer Science 2001, Saarland University 
  • Group Leader 2000-03, Center for Bioinformatics, Saarbrücken
  • Post-doctoral training 2001-2002, Celera Genomics, Rockville, Maryland  
  • University of Tübingen: Professor of Applied Bioinformatics since 2003; Director, Quantitative Biology Center since 2012
  • Fellow, MPI for Developmental Biology since 2015

Research Interest

The research of our group is focused on method development in computational biology and their application in systems biology, drug design, and immunology. We focus on the analysis of high-throughput data from genomics, transcriptomics, proteomics, and metabolomics. To this end we develop algorithmic and statistical techniques to analyze these data and integrate them into the biological context. The group is also known for its open-source software development efforts, most notably OpenMS (computational mass spectrometry), BALL (structural bioinformatics), and BN++/BiNA (systems biology).

Selected Reading

1) Hopf, TA, Schärfe, CPI, Rodrigues, JP, Green, AG, Kohlbacher, O, Sander, C, Bonvin, AM, and Marks, DS (2014). Sequence co-evolution gives 3D contacts and structures of protein complexes. elife: 10.7554/eLife.03430.
 
2) Kramer, K, Sachsenberg, T, Beckmann, BM, Qamar, S, Boon, K, Hentze, MW, Kohlbacher, O, and Urlaub, H (2014). Photo-cross-linking and high-resolution mass spectrometry for assignment of RNA-binding sites in RNA-binding proteins. Nat. Methods, 11(10):1064-70.
 
3) Ziller, MJ, Gu, H, Müller, F, Donaghey, J, Kohlbacher, O, Bernstein, BE, Gnirke, A, and Meissner, A (2013). Charting a dynamic DNA methylation landscape of the human genome. Nature, 500:477–481.

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