Research Group: Analysis and Redesign of Biological Networks
Our research group develops and applies methods from systems and computational biology to infer, analyze and rationally modify cellular (biomolecular) networks. We pursue interdisciplinary research at the intersection of (micro)biology, informatics, mathematics and engineering sciences and we tightly integrate dry-lab and wet-lab investigations under one roof.
One central research direction is methods for modeling and computational design of metabolic networks and their use to engineer microbial cell factories for biotechnological applications. Other important research areas include systems analysis of microbial communities, data-driven inference of signaling and regulatory networks, and the development of a comprehensive MATLAB toolbox for the computer-aided analysis of biological networks (CellNetAnalyzer).
Wet-lab investigations are based on various genetic and experimental techniques and are used to verify model predictions but also to study further aspects of metabolic and regulatory processes in E. coli and other microorganisms.
A long-term vision of the ARB group is to help pave the way for routine use of advanced mathematical modeling approaches in (micro)biology, biotechnology, and biomedicine.
A detailed description of our research activities can be found here.
Keywords: Systems biology, Computational biology, Bioinformatics, Metabolic engineering, Systems biotechnology, Metabolic networks, Gene regulatory and signaling networks, Escherichia coli