Ohler Lab

Ohler Lab

Computational Regulatory Genomics


According to current understanding, complexity in higher organisms is not achieved by a more complex repertoire of parts, i. e. genes, but instead by the more complex regulation of the parts.

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 move biology from case studies to an integrated, global approach.

Our lab develops and applies genomics and computational approaches to understand mechanisms of gene regulation in eukaryotic organisms. Computational biology 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

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Group Leader



Technical Assistants

PhD student

Graduate and Undergraduate