The research group Algorithmic Bioinformatics develops data-driven mathematical models and algorithmic methods to better understand biological processes. The work is highly interdisciplinary and is characterized by cooperations with both experimental partners and colleagues within computer science. We currently focus on the following topics:

• Algorithmic Genomics: Assemblies, Haplotypes and genetic variation; Microbial metagenomics; Analysis of functional genetics screens
• Algorithmic Systems Biology: Network biology, Learning logic models
• Algorithmic Cheminformatics: Molecular graph models

On the practical side, our focus is on dealing with large data sets and on developing automated and robust analysis pipelines.