Contact
Hannoversche Straße 28
10115 Berlin, Deutschland
The expression of genes is tightly controlled on several levels — a large number of protein and RNA factors and DNA and RNA sequence elements enable the precise regulation of interacting gene products. It is a key challenge to decipher these complex networks of players and interactions, and to understand biology via integrated, global approaches.
To this end, our lab develops and applies genomics and computational approaches to understand mechanisms of gene regulation in eukaryotic organisms. Computational biology, and machine learning in particular, has become indispensable to analyze and ultimately make sense of large-scale data sets that look at the phenomenon of gene regulation from different angles.
Our long term goal is to investigate how regulatory networks enable the correct development of complex organisms, with their multitude of cell types that carry out different functions despite the same genome. This will help us to understand the impact of sequence variation on biological functions and disease.
We are an integrated interdisciplinary lab, whose members aim to understand the gene regulatory code through high throughput experiments and computational approaches. To this end, we want to find out…
We adapt and apply genomics approaches, and collaborate extensively, to obtain new types of molecular data at ever increasing resolution. We develop new computational methods to analyze and integrate new types of data. We design interpretable, predictive machine learning methods — from sparse linear models to deep neural networks — to understand different mechanisms of gene regulation on the DNA and RNA level. These days, our focus is on:
As computational lab, we develop a lot of new software that we make available to the scientific community.