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Analyze Data

The GDC provides an array of interactive, web-based Analysis Tools for performing in-depth gene- and variant- level analyses. The workflow is cohort-centric, meaning analyses are specific to a researcher's cohort of interest.

  • Build cohorts and perform gene and variant level analysis on the cohort
  • Visualize most frequently mutated genes and somatic mutations for a cohort
  • Visualize a matrix of the top most mutated cases and genes affected by high impact mutations in a cohort
  • Perform a survival analysis for cases with a mutated form of a certain gene and cases without the mutation
  • Visualize mutations and their frequency across cases mapped to a graphical visualization of protein-coding regions
  • Visualize the top most variably expressed genes in a cohort
  • Visualize sequencing reads for a given gene, position, SNP, or variant
  • Use clinical variables to perform basic statistical analysis of a cohort
  • Compare custom gene or case sets by visualizing set similarities and differences

Documentation

Data Analysis Tools

The GDC provides interactive, cohort-centric tools for analyzing genomic and clinical data.

Data Analysis Policy

Policies and guidelines for appropriate use of data, are provided by the GDC whether open- or controlled- access.

Data Harmonization and Generation

The GDC developers best-in-practice pipelines for processing the most common molecular platforms. Variant calling, gene expression analysis, and other pipelines are implemented using software and algorithms selected in consultation with experts in the genomics community.

What’s New with GDC and Cancer Research

Cancer Research Highlights and Publications:

From the GDC FAQ

Why does the GDC display common genes such as TTN that are associated with every cancer in the most frequently mutated genes table?

The GDC is not normalizing frequency by gene length. This is currently under discussion. As such, these genes are appearing in the mutated genes table. Users can filter by the COSMIC Cancer Gene Census to display only genes for which mutations have been causally implicated in cancer.

Need Assistance?

Need help with data retrieval, download, or submission?

Visit the GDC Support Page