Berlin: Connecting genome and medical research by new informatics tools (e.g., sequence annotation, structure/function prediction, modeling of cellular and disease processes).
Braunschweig: Intergenomics genome-coded processes in mechanisms of infection (six steps ranging from the establishment of databases to modeling of intercellular interactions).
Cologne: Molecular networks of organisms (e.g., methods for the parallel analysis of genome, transcriptome, proteome, structure, function, and metabolome data for the simulation of bioprocesses).
Gatersleben/Halle: Bioinformatics tools for the analysis of biological data of plants (e.g., a plant data warehouse for agricultural plants, analysis and modeling of metabolic and regulatory networks).
Jena: Bioinformatics tools to study molecular communication in cells in normal and disease states (e.g., analysis of gene and protein expression data, prediction of protein structure and binding of drug candidates, comparative genome analysis).
Munich: Bioinformatics for the functional analysis of mammalian genomes (e.g., methods for data mining and analysis of data generated on an industrial scale).