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The Cancer Genome Atlas TCGA is a pioneering cancer genomics project that comprehensively characterized more than 20,000 primary tumors and matched normal samples across 33 types of cancer. This joint venture between the National Cancer Institute NCI and the National Genome Research Institute was initiated in 2006 and brought together researchers with diverse expertise from multiple institutions.
Over the course of a dozen years, TCGA an extensive data corpus of over 2.5 petabytes encompassing genomic, epigenomic, transcriptomic, and proteomic information. The avlability of this unprecedented volume of data has already led to advancements in cancer diagnosis, treatment, prevention, and overall understanding.
TCGA's Impact
The program has fundamentally transformed our comprehension of cancer, the research employed in studying it, its clinical management, and more.
Upon completion, TCGA unveiled a Pan-Cancer Atlas that encompassed cross-cancer analyses centered on overarching themes like cell-of-origin patterns, oncogenic processes, and signaling pathways.
Accessing TCGA Data
TCGA data is accessible through the Genomic Data Commons GDC Data Portal, which provides web-based tools for analysis and visualization of the datasets.
Cancers Selected by TCGA
An overview detling the 33 cancers selected for molecular characterization along with the criteria that guided this selection process within TCGA.
TCGA Computational Tools
The array of data processing software, visualization tools, and other computational resources developed by TCGA's research network collaborators are discussed here.
TCGA Molecular Characterization Platforms
Descriptions and supporting materials outlining each sequencing platform and additional in the generation of TCGA datasets are provided.
TCGA Timeline and Milestones
This section chronicles the events leading up to TCGA's inception in 2006 and highlights major milestones throughout its history.
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Comprehensive Cancer Genomics Atlas Initiative National Cancer Institute Partnership Focus 20 000 Tumor Specimen Analysis Pan Cancer Atlas Insight Development Advanced Cancer Research Data Corpus Decade long Integrated Data Generation