Biomedical Genomics

We study the genomics of DNA damage , repair, and mutagenesis . Using a combination of computational biology, machine learning , clinical and experimental data from collaborating labs, we try to understand the underlying mechanisms despite their complexity, and look for routes to bring this knowledge into clinical use.

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Biomedical Genomics Group

This is our interdisciplinary and diverse team ranging in backgrounds from molecular biology to multimodal machine learning. From Colombia in the west to India in the east, from Russia in the north to Brazil in the south.

Research

We study the genomics of DNA damage, repair, and mutagenesis. Using a combination of computational biology, machine learning, clinical and experimental data from collaborating labs, we try to understand the underlying mechanisms despite their complexity, and look for routes to bring this knowledge into clinical use.

Group Leader

Dr. Anna Poetsch

Our research

The Biomedical Genomics group employs computational techniques, machine learning, and deep learning approaches to assess and model DNA damage and repair processes, and mutagenesis.
The group established a novel technique for genome-wide measurements of oxidative DNA damage and contributed to the understanding of genome editing precision and the genome wide distribution of mutations. Work is underway to understand these processes in the context of different cancer types and as a consequence to different treatment regimens tissue specifically.
For this we use computational biology with different types of functional genomics data (AP-Seq, HiC, ChIP-Seq,...) and cancer genomics data and different deep learning techniques, such as cascade models on multimodal data, LSTMs, and natural language processing.