Andersson Lab

The Andersson Lab develops computational and experimental approaches to understand how noncoding DNA regulates gene expression and how its dysregulation contributes to human disease.

We combine regulatory genomics, machine learning, statistical learning, genetics, and molecular biology to:

• Identify active regulatory elements, determine which genes they regulate, and define the cell types in which they function
• Learn how DNA sequence encodes regulatory activity and predict the effects of noncoding genetic variants

Our work integrates experimental genomics with machine learning to identify active regulatory elements, map enhancer-gene interactions, uncover the sequence logic of gene regulation, and interpret the functional consequences of noncoding genetic variation.

Learn more about our research or browse our publications.

Team

The lab is based in the Section for Computational and RNA Biology, Department of Biology, University of Copenhagen. We are also affiliated with the Novo Nordisk Foundation Center for Genomic Mechanisms of Disease and the FANTOM consortium.

Learn more about the team.

We are always interested in hearing from outstanding postdoctoral researchers and PhD students with interests in regulatory genomics, computational biology, machine learning, or functional genomics. If this sounds like you, please contact Robin Andersson.

Past and present funders