Paul-Langerhans-Group Computational Diabetology

Bioinformatics methods development for the study of diabetes mellitus

The Paul Langerhans Group  Computational Diabetology develops bioinformatics methods for analyzing molecular high-throughput data in the context of diabetes research.

We address computational challenges arising from large-scale and heterogeneous data, integrating multi-omics and clinical datasets to improve our understanding of metabolic dysfunctions and their relationship with cardiovascular diseases. We develop pangenome-based approaches to study disease-related genetic variations, particularly in complex loci relevant to diabetes. Our work also extends to modeling epigenetic gene regulation and investigating structural genomic variations to reconstruct mutation histories. At the same time, we support all research groups of the DDZ in applying bioinformatics methods for data analysis.