The CoDia Lab

Our research group, led by Jun.-Prof. Dr. Daniel Dörr, 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.

People
Publications
Training an automated circulating tumor cell classifier when the true
PNAS nexus, February 9, 2025
Nanou A, Stoecklein NH, Doerr D, Driemel C, Terstappen LWMM, Coumans FAW
Panacus: fast and exact pangenome growth and core size estimation
Bioinformatics, November 9, 2024
Parmigiani L, Garrison E, Stoye J, Marschall T, Doerr D
Reconstructing rearrangement phylogenies of natural genomes
Proc of WABI'24, August 26, 2024
Bohnenkämper L, Stoye J, Doerr D
AGO, a framework for the reconstruction of ancestral syntenies and gene
Methods Mol Biol, June 1, 2024
Cribbie EP, Doerr D, Chauve C
Family-Free Genome Comparison
Methods Mol Biol, June 1, 2024
Braga MDV, Doerr D, Rubert DP, Stoye J

Legend: * joint first author; joint last author
Software

panacus

A tool for computing statistics for GFA-formatted pangenome graphs

GFAffix

GFAffix identifies walk-preserving shared affixes in variation graphs and collapses them into a non-redundant graph structure.