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Introducing the latest advancements in GDC 2.0 with Release 2.1! Here's what's new:


The GDC has released GDC 2.0 which expands on the GDC Data Portal initially launched in 2016 by providing a cohort-centric design and new analysis tools. GDC 2.0 features include:


A recent data release offers new ways to access data from the Count Me In project. The nonprofit research initiative enables patients in the US and Canada to share their medical information and samples for cancer research. Notably, Count Me In has been able to sequence and share data from patients with very rare or understudied cancers such as angiosarcoma.


The GDC’s Data Release 26 features updates allowing Multiple Myeloma Research Foundation (MMRF) CoMMpass data to be explored directly in the GDC Data Portal. This behind-the-scenes change enables users to create mutation frequency, oncogrid, and other plots of multiple myeloma mutations readily in the web browser.

Also in this latest update:


In a major update to GDC's Data Portal, users can now plot and explore clinical data in the Analysis area. A new look and feel is also available for searching clinical metadata in the Exploration section. To learn more about these updates users can visit the GDC Data Portal Users Guide.


Users who have been granted access to Foundation Medicine data can now visualize somatic mutations using GDC Data Analysis, Visualization, and Exploration (DAVE) tools.


The GDC released a new version of the GDC Data Portal with new visualization tools for copy number variations (CNVs). CNVs, categorized as gains and losses, can now be visualized in conjunction with small-scale mutations (substitutions and short indels). In the Oncogrid, the colored grid is overlaid with symbols, allowing an integrated view of mutations and CNVs. Users can choose colors and which alteration types to view.


The NCI's Genomic Data Commons (GDC) released new features allowing users to build and compare custom cohorts and perform operations on case, gene, or mutation sets. Users are now able to use the new GDC Analysis feature to build cohorts for selected cases and compare cohorts by performing survival analysis, and comparing characteristics such as gender, vital status and age at diagnosis. Users can also perform set operations on case, gene, or mutation sets by visualizing set similarities and differences in a Venn diagram.


The Analyzing Data using GDC Data Analysis, Visualization, and Exploration (DAVE) Tools webinar will help introduce users to GDC tools for analyzing data from cancer genomic studies.


The NCI's Genomic Data Commons (GDC) officially launched Data Analysis, Visualization, and Exploration (DAVE) tools transforming the GDC from a cancer genomics data repository into an interactive knowledge base. DAVE enables cancer researchers to use the GDC’s high-quality, standardized genomic data without downloading a single file. Researchers can: