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:

Backert, L, Kowalewski, D, Backert, L, Walz, S, Schuster, H, Berlin, C, Neidert, M, Schemionek, M, Brümmendorf, T, Vicinic, V, Niederwieser, D, Kanz, L, Salih, HR, Kohlbacher, O, Weisel, K, Rammensee, H, Stevanovic, S, and Stickel, JS (2017). A meta-analysis of HLA peptidome composition in different hematological entities: Entity-specific dividing lines and "pan-leukemia" antigens. Oncotarget.

Krüger, J and Kohlbacher, O (2016). Containerization and wrapping of a mass spectra prediction workflow. Preprint.

Recent news:

Piece about OpenMS in the blog of the Software Sustainability Institute: The article is part of the SSI series 'A day in the software life,' in which researchers from all disciplines discuss the tools that make their research possible. In this case, it is about OpenMS...

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.