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:

Audain, E, Uszkoreit, J, Sachsenberg, T, Pfeuffer, J, Liang, X, Hermjakob, H, Sanchez, A, Eisenacher, M, Reinert, K, Tabb, DL, Kohlbacher, O, and Perez-Riverol, Y (accepted). In-depth analysis of protein inference algorithms using multiple search engines and well-defined metrics. J. Proteomics.

Junker, J, Sachsenberg, T, Chernev, A, Aicheler, F, Urlaub, H, and Kohlbacher, O (accepted). LFQProfiler and RNPxl: Open-Source Tools for Label-Free Quantification and Protein-RNA Cross-Linking Integrated into Proteome Discoverer. J. Proteome Res..

Recent news:

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

New Nature Methods paper: what's in the 'dark proteome'?: Our new Nature Methods paper looks into the majority of mass spectra that still remain unidentified in proteomics experiments and gives hints at what is consistently not identified.