Molecular Tumor Boards (MTBs) incorporate genomic data when deciding on individual patients’ treatments. Biological networks such as the KEGG pathways enable visual inspection of the cellular mechanisms. We present a service for the integration of multiple pathways, the annotation and filtering of the resulting biological networks, and the execution of graph algorithms and context-searches. Integrating omics data and providing an interactive approach to exploring the networks can provide patient-specific insights of the disease-driving mechanisms and aid the discussions in MTBs.

Learning Objective: Discover the potential of giving biological network context to genomic variants in molecular tumor board meetings for advancing inpatient outcomes.


Thorsten Tiede (Presenter)
University of Tübingen

Oliver Kohlbacher, University of Tübingen

Presentation Materials: