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.

• Twilight zone indels (Software)
• The Genome of the Netherlands
• Associating Disease Traits with genotypes, in particular complex, large and difficult-to-discover ones
• Cancer genome variants (Software)
• Read-Based Phasing (Software)

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

• Maximal cliques in overlap graphs (Software)
• Reconstruction of viral quasispecies (a particular highlight of ours, see here for Software)
• Cancer subnetwork markers (Software).