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  1. The Cancer Genome Atlas Program (TCGA) - NCI

    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 …

  2. The Cancer Genome Atlas (TCGA)

    Dec 1, 2020 · The Cancer Genome Atlas (TCGA) was a joint effort of the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI), which are both part of the National …

  3. GDC Data Portal Homepage

    Dec 4, 2025 · Genomic Data Commons Data Portal Harmonized Cancer Datasets A repository and computational platform for cancer researchers who need to understand cancer, its clinical …

  4. The Cancer Genome Atlas - Wikipedia

    The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1][2] The overarching goal was to apply high …

  5. cBioPortal for Cancer Genomics

    Explore the worldwide community of cBioPortal instances across cancer research centers.

  6. The Stanford-Cancer Genome Atlas Portal

    Navigate TCGA data 3 ways Top panel: Search by - clinically relevant Gene/miR/Protein cancer type clinical parameter Middle panel: Genetic profiling by clinical parameters Bottom panel: Testing two hit …

  7. Cancer PKU - GEPIA 2

    Expression Comparison For analyzing the user-upload data, GEPIA2 enables users compare their own data with TCGA and GTEx data.

  8. 2026 Scoville-Meno TCGA Junior Golf Schedule - tcgagolf.com

    Participation in the Scoville-Meno TCGA Junior Tour Championship is limited to those Juniors that meet TCGA Membership requirements by residing in the TCGA Territory and having an active GHIN Account.

  9. UCSC Xena

    Download easy-to-use pre-compiled data for further bioinformatic analysis Xena compiles easy-to-use data files derived from public resources like TCGA or GDC. These tab-delimited files, such as Pan …

  10. TCGA - Database Commons

    e.g., human; SARS-CoV-2; lncRNA; single cell; spatial omics; immune; Oryza sativa; European Bioinformatics Institute; China