• Genome Data Science

    We develop methods and tools to work with tens of thousands of genomes and analyze and integrate the corresponding data.

    Model of DNA double helix in front of a student.
    © Universität Bielefeld

Genome Data Science


Welcome to the web pages of the Genome Data Science group at the Faculty of Technology. The group is headed by Prof. Dr. Alexander Schönhuth and develops methods and tools to work with tens of thousands of genomes and analyze and integrate the corresponding data.

Recent research highlights:

AI accessible (pan-)genome embeddings (most recent)

(Pan-)genome assembly:

AI based prediction of disease risks :

FDR control for single cell / somatic variants:

Particular research highlights

Genome Data Mining

We have developed various tools for mining relevant patterns in (huge) genomes and networks. Research highlights: