Systems Biology

The Systems Biology group collaborates with a wide range of groups on all aspects of systems biology, from the integrative interpretation of large postgenomic datasets (transcriptomics, proteomics, metabolomics) to the dynamic modeling of systems behavior using a diverse collection of computational tools.

The Systems Biology group has a special interest in the interpretation of large post-genomic datasets in a mechanistic context. Our work is based on datasets from a broad variety of model organisms, ranging from bacteria to worms, and from plants to mammalian stem cells.

Current projects in our group include the dynamic modeling of metabolism in protozoan parasites, the synthetic biology of antibiotic production in actinomycetes, and the development of computational tool for the analysis of high-accuracy metabolomics datasets.