Description
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.
Authors:
Thorsten Tiede (Presenter)
University of Tübingen
Oliver Kohlbacher, University of Tübingen
Presentation Materials: