Our interdisciplinary group is headed by Prof. Dr. Dominik Heider and situated at the University of Münster. The main focus of our research is set on the development of computational solutions from the field of Machine Learning for solving biomedical problems, e.g., algorithms for predicting drug resistance of pathogens or for modeling of diseases. In another main part of our research, we aim to develop new methods and algorithms for analyzing (meta-)genomic and (meta-)transcriptomic data of microorganisms, as well as genome assembly and functional annotation. Since NGS technologies have great potential in biomedical research but data processing is still limited by computational power, we further investigate techniques based on high-performance computing.

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