Skip to main content
ContactDictionary

Center for Cancer Genomics (CCG)

The Center for Cancer Genomics (CCG) unifies NCI's activities in cancer genomics by conducting and supporting research across three sub-disciplines of cancer genomics – structural, functional, and computational – to improve patient outcomes. CCG programs and collaborations generate genomic data and resources for the research community.

The Genomic Data Commons

Launch the data portal and access TCGA, TARGET, and other large-scale cancer characterization data.

Structural and Functional Genomic Data Portals

Access molecular characterization and clinical data from childhood and rare cancers, patient-derived next-generation cancer models, data from small molecule and genetic screens and more.

  • The Cancer Genome Atlas Program

    The Cancer Genome Atlas (TCGA) is a landmark cancer genomics program that sequenced and molecularly characterized over 11,000 cases of primary cancer samples. Learn more about how the program transformed the cancer research community and beyond.

  • Human Cancer Models Initiative Searchable Catalog

    Find available next-generation cancer models from NCI’s Human Cancer Model Initiative (HCMI) via the Searchable Catalog. The resource is continuously updated and allows searching by patient demographics, tumor type, clinical elements, and more.

  • NCI's Genome Characterization Pipeline

    NCI’s Genome Characterization Pipeline is an efficient workflow that takes in cancer tissue samples and outputs rich, publicly available genomic and clinical data. By partnering with foremost experts in tissue processing, bioinformatics, and data science, CCG produces and shares high quality, harmonized raw and processed data.

  • CCG Updates & Insights

    Read interviews with investigators, updates from CCG's Director and others, CCG's latest news and announcements, and overviews of new influential papers in cancer genomics.

  • What is Cancer Genomics?

    Cancer is caused by changes to the cell’s DNA. Cancer genomics uses technologies such as sequencing to identify genetic alterations, define molecular subtypes, and develop precision medicine approaches for cancer treatment.