Computational Cancer Genomics

The Computational Cancer Genomics Group aims to assess contribution of chromatin changes to cancer initiation and progression and associate them with genetic modifications. To achieve this goal, we employ advanced data analytics (in particular machine learning algorithms) and get biological insights, which we can further validate in the lab. The team is actively involved in creating novel accurate methods for studying genetic and epigenetic changes in cancer. Check the whole list of softwares developed by the team.