Cancer genomics data sets visualization, analysis and download.

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Simple somatic mutations

Browse more than 2800 harmonized whole genomes

The Pan-Cancer Analysis of Whole Genomes is an international collaboration from over 700 scientists to identify common mutation patterns across more than 60 cancer types.

PCAWG Published in Nature Journals!

Read about the ICGC/TCGA analysis of >2,600 whole cancer genomes across 38 tumour types in 23 papers published in Nature and other Nature journals (Feb. 2020). Photo credit: Nik Spencer/Nature.

Instant analysis with cloud computing

Getting headaches spending days or weeks downloading data? Instead, upload your analytic software to our Collaboratory cloud or Amazon Web Services and get right to the research with ICGC data in the cloud.

New features

Updated on Apr 23rd, 2018
  • New: Analyze ICGC portal data from a Jupyter notebook that comes preinstalled with our new python API. Access through the Data Analysis page.
  • New: Clinical annotation for variants has been integrated from ClinVar and CIViC source data. View data in Advanced Search or Mutation pages.
  • Update: The protein lolliplot viewer has been improved. Filter by mutation consequences and zoom in/out from domain locations. Explore from any gene or mutation page.

Resources

Programatic APIS

Access portal data through REST and Python APIs.

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Pathways

Search for data based on pathway participation.

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Compounds Explorer

Search for cancer targeting therapeutics.

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Gene Ontology

Search for data based on standardized terms.

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GA4GH Beacon

Explore if a specific mutated allele been observed.

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Documentation

Learn more about the ICGC data portal.

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Community

The ICGC Data Portal provides many tools for visualizing, querying, and downloading cancer data, which is released on a quarterly schedule.

Join the discussion about tools and data releases with our active community.

Visit our forum

Like what you see in the data portal? We provide open-source, actively supported components that you can incorporate in your systems though our Overture stack.

Learn about Overture