About this Class

Speaker: Tali Mazor, Ph.D., Scientist, Knowledge Systems Group, Dana-Farber Cancer Institute Tali Mazor, Ph.D., of the Dana-Farber Cancer Institute will discuss the functions and features of the cBioPortal for Cancer Genomics. This open-source software platform offers an interactive tool for exploring large-scale cancer genomics data sets through a user-friendly interface. Using cBioPortal, researchers can integrate genomic and clinical data and have access to a suite of visualization and analysis options, including cohort/patient-level visualization, mutation visualization, survival analysis, and alteration enrichment analysis. The cBioPortal for Cancer Genomics is an open-source software platform that enables interactive, exploratory analysis of large-scale cancer genomics data sets with a user-friendly interface. It integrates genomic and clinical data, and provides a suite of visualization and analysis options, including cohort and patient-level visualization, mutation visualization, survival analysis and alteration enrichment analysis. Features of the portal include OncoPrints, a compact graphical representation of alterations in multiple genes across a cohort, mutational diagrams that show locations and frequencies of mutations in a single gene, subgroup definition and comparison, Kaplan-Meier survival curves, plots that allow the visualization of correlation between different data types (e.g. the correlation between DNA copy number and mRNA expression for a gene of interest), among others. To facilitate interpretation, the cBioPortal also integrates data from several leading knowledgebases and computational resources. This webinar will introduce basic exploratory, analytic and visualization features of the cBioPortal, as well as several advanced features, including: - Exploring data with study view - Running and modifying queries - OncoPrints, mutation diagrams, survival analysis, enrichment analysis - Resources integrated into the cBioPortal - Working with different data types, including mutations, copy number, mRNA expression and protein levels - Onco Query Language - Resources to get additional help