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Department of Molecular Life Sciences


As Computational Biologists and Bioinformaticians we are excited about algorithms, databases, large-scale data analysis, and biological questions that can be addressed by "connecting the dots". Our group often works in collaboration with scientist of other areas such as microbiology, proteomics, or systems biology. However, we also run many projects of our own - developing and maintaining freely accessible online resources, creating algorithms and software packages, and running critical assessments of technologies and data collections. We maintain several large collections of "reference" data for others to compute with and benchmark against, and we enjoy receiving daily feedback from the large and growing community of scientists that use our tools.




Systems Biology / Metagenomics

Systems Biology / Metagenomics

Our group studies the genomes of entire microbial communities, based on the new and exciting metagenomics approach. Metagenomics describes a technique that encompasses the sampling of DNA directly from an environment; the DNA is then shotgun sequenced without prior knowledge of which  organisms are actually present.





Protein networks

Protein networks

Another research area that we are very interested in concerns protein-protein interactions, and the networks they form. We develop algorithms that help to score and integrate protein interaction data, and make them more easily accessible for researchers to search and browse via a freely accessible web-tool called STRING


Weiterführende Informationen

They escape from endosomes to the cytosol, and deliver their DNA genome into the nucleus. This requires virus-induced signaling cascades, activations of membrane lytic processes, cytoskeletal tracks and molecular motors, as well as a stepwise cascade of events leading to uncoating of the viral genome.

Suomalainen, M., Nakano, M.Y., Boucke, K., Keller, S., Stidwill, R.P., and Greber, U.F. (1999). Microtubule-dependent minus and plus end-directed motilities are competing processes for nuclear targeting of adenovirus. J. Cell Biol. 144, 657-672.