Research

The rapid development of molecular biology has given rise to an increasing demand in computational and mathematical approaches to analyze and understand the resulting data. In particular, advanced methods from Bioinformatics are required to extract and investigate the essential information from high-throughput experiments, such as microarrays or Next Generation Sequencing. The emerging field of Systems Biology provides formal approaches to modeling and simulating regulatory processes in biological systems.

The research of our group is at the interface of computer science, statistics and life sciences and covers the following main aspects:

• Statistical and data mining approaches for high-throughput data, with an emphasis on feature selection, classification and clustering
• Modeling, simulation and analysis of regulatory networks, in particular ODE and Boolean approaches
• Visualization and functional annotation