Applied Bioinformatics Group

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Welcome to the Kohlbacher lab!

Group Photo

The group of Oliver Kohlbacher was established in 2003 and is primarily working on computer-aided drug design, immunoinformatics, structural bioinformatics as well as bioinformatics applications in proteomics, metabolomics and systems biology. The group collaborates closely with a large number of experimental groups to gain access to up-to-date and relevant datasets.

Besides classical structural bioinformatics methods, we are focused on the use of combinatorial optimization, graph theoretic approaches and machine learning. To make the methods we develop accessible to a larger audience, we contribute to several larger open-source software projects, e.g., BALL (structural bioinformatics), OpenMS (proteomics) and BN++/BiNA (network analysis).

Most recent publications:

Boyles, M, Ranninger, C, Reischl, R, Rurik, M, Tessadri, R, Kohlbacher, O, Duschl, A, and Huber, C (2016). Copper oxide nanoparticle toxicity profiling using untargeted metabolomics. Part. Fiber Toxicol., 13:49.

Rost, HL, Sachsenberg, T, Aiche, S, Bielow, C, Weisser, H, Aicheler, F, Andreotti, S, Ehrlich, H, Gutenbrunner, P, Kenar, E, Liang, X, Nahnsen, S, Nilse, L, Pfeuffer, J, Rosenberger, G, Rurik, M, Schmitt, U, Veit, J, Walzer, M, Wojnar, D, Wolski, WE, Schilling, O, Choudhary, JS, Malmstrom, L, Aebersold, R, Reinert, K, and Kohlbacher, O (2016). OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nat Meth, 13(9):741-748.

Recent news:

New Nature Methods paper on OpenMS 2.0: Our new Nature Methods perspective introduces version 2.0 of the OpenMS framework for mass spectrometry data analysis.

New job offers: We have several new openings for PhD students and postdocs....