The research on bioinformatics in this group is focused upon different levels of description:

On sequence level both standard methods as well as customized algorithms are used to analyze organization and expression of genomes of various origins.

By utilizing the knowledge on biopolymer structures of the group new methods are developed to characterize novel genes.

A graph-topological as well as dynamical approach towards a functional description of genes and gene families interacting within regulatory or metabolic networks is made.

All three levels interact with each other yielding a comprehensive picture of todays accessible genomes. Special care is taken to frame this research in an evolutionary context. Evolution and self-organization of former individual subsystems to larger systems is a major research task.

Bioinformatics Links can be found here

Christian Forst

Mike Chaney


[1] C. V. Forst, and K. Schulten. "Evolution of Metabolisms: A new Method for the Comparison
of Metabolic Pathways", Proceedings of the Third Annual International Conference on Computational Molecular Biology, Lyon, France. Sorin Istrail, Pavel Pevzner, Michael Waterman, eds., pp. 174-180, ACM Press, New York, 1999.