Biomedical Genomics Group Health Data Science Unit University Clinics Heidelberg
Carl Herrmann is deputy head of the newly created Health Data Science Unit at the medical faculty of the University Heidelberg, and runs the Biomedical Genomics group. He teaches mathematics, statistics and bioinformatics at bachelor and master level at the university of Heidelberg.
His background is in engineering, applied mathematics and theoretical physics. After completing his PhD in string theory in France in 1999 he first continued in this field however started focussing on bioinformatics in 2003. He has worked in an international context as a postdoc at the University of Turin (Italy), and a long period as an assistant-professor in bioinformatics at the University Marseille (France).
In 2012, he moved to Heidelberg, where he joined the Division of Theoretical Bioinformatics at the German Cancer Research Center (DKFZ) with Prof. Roland Eils. He has been involved in multiple projects focusing on the role of epigenetics in cancer and disease. The development of tools and methods is his special interest.
As a proud father of four daughters who play actively football, he is also a football trainer and a strong supporter of “girl’s power”. His French roots might explain his very special interest for cooking.
Rohan Singh, master student 2018
- Development of tools for regulatory genomics
- Epigenomics of human diseases
- Statistical methods for high-throughput data integration
- Single-cell genomics
- Applications of machine learning in genomics
Field of Expertise
- Kumar S., Warrel J., Shantao L., McGillivray P., Meyerson W., Salichos L., … , Herrmann C., Gad Getz G., Khurana E., Gerstein M. (2018). Passenger mutations in 2500 cancer genomes: Overall molecular functional impact and consequences. BioRxiv. https://doi.org/10.1101/280446 (Nature Genetics, in revision)
- Bauer, T., Trump, S., Ishaque, N., Thürmann, L., Gu, L., Bauer, M., … Herrmann C.*, Eils, R.*, Lehmann, I.* (2016). Environment-induced epigenetic reprogramming in genomic regulatory elements in smoking mothers and their children. Molecular Systems Biology, 12(3), 861–861. https://doi.org/10.15252/msb.20156520
- Steinhauser, S., Kurzawa, N., Eils, R., & Herrmann, C. (2016).
- A comprehensive comparison of tools for differential ChIP-seq analysis. Briefings in Bioinformatics, 17(August), bbv110. https://doi.org/10.1093/bib/bbv110
- Peifer, M., Hertwig, F., Roels, F., Dreidax, D., Gartlgruber, M., Menon, R., … , Herrmann C., O’Sullivan R., Westermann F., Thomas R., Fischer M. (2015). Telomerase activation by genomic rearrangements in high-risk neuroblastoma. Nature, 526(7575), 700–704. https://doi.org/10.1038/nature14980
- Herrmann, C., Van de Sande, B., Potier, D., & Aerts, S. (2012). i-cisTarget: an integrative genomics method for the prediction of regulatory features and cis-regulatory modules. Nucleic Acids Research, 40(15), e114–e114. https://doi.org/10.1093/nar/gks543
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