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ZSOM Data Catalog

The Cancer Genome Atlas

UID: 10389

Description
The Cancer Genome Atlas (TCGA), a landmark cancer genomics program, molecularly characterized over 20,000 primary cancer and matched normal samples spanning 33 cancer types. This joint effort between NCI and the National Human Genome Research Institute began in 2006, bringing together researchers from diverse disciplines and multiple institutions.

Over the next dozen years, TCGA generated over 2.5 petabytes of genomic, epigenomic, transcriptomic, and proteomic data. The data, which has already led to improvements in our ability to diagnose, treat, and prevent cancer, will remain publicly available for anyone in the research community to use.
Publisher
TCGA Research Network
Timeframe
2005 - 2018
Local Expert
Nyasha Chambwe
Subject of Study
Human
Subject Domain
Cancer
Genome, Human
Genomics
Keywords
Genes, Neoplasm
Humans
Mutation
Neoplasm Proteins
RNA-seq
Transcriptome
Whole Exome Sequencing

Access

Restrictions
Free to All
Instructions
Freely available, some resources require registration.
Associated Publications
Hutter C, Zenklusen JC. The Cancer Genome Atlas: Creating Lasting Value beyond Its Data. Cell. 2018 Apr 5;173(2):283-285. doi: 10.1016/j.cell.2018.03.042. PMID: 29625045.
Blum A, Wang P, Zenklusen JC. SnapShot: TCGA-Analyzed Tumors. Cell. 2018 Apr 5;173(2):530. doi: 10.1016/j.cell.2018.03.059. PMID: 29625059.
Knijnenburg TA, Wang L, Zimmermann MT, Chambwe N, Gao GF, Cherniack AD, Fan H, Shen H, Way GP, Greene CS, Liu Y, Akbani R, Feng B, Donehower LA, Miller C, Shen Y, Karimi M, Chen H, Kim P, Jia P, Shinbrot E, Zhang S, Liu J, Hu H, Bailey MH, Yau C, Wolf D, Zhao Z, Weinstein JN, Li L, Ding L, Mills GB, Laird PW, Wheeler DA, Shmulevich I; Cancer Genome Atlas Research Network, Monnat RJ Jr, Xiao Y, Wang C. Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas. Cell Rep. 2018 Apr 3;23(1):239-254.e6. doi: 10.1016/j.celrep.2018.03.076. PMID: 29617664; PMCID: PMC5961503.
Carrot-Zhang J, Chambwe N, Damrauer JS, Knijnenburg TA, Robertson AG, Yau C, Zhou W, Berger AC, Huang KL, Newberg JY, Mashl RJ, Romanel A, Sayaman RW, Demichelis F, Felau I, Frampton GM, Han S, Hoadley KA, Kemal A, Laird PW, Lazar AJ, Le X, Oak N, Shen H, Wong CK, Zenklusen JC, Ziv E; Cancer Genome Atlas Analysis Network, Cherniack AD, Beroukhim R. Comprehensive Analysis of Genetic Ancestry and Its Molecular Correlates in Cancer. Cancer Cell. 2020 May 11;37(5):639-654.e6. doi: 10.1016/j.ccell.2020.04.012. PMID: 32396860; PMCID: PMC7328015.
Data Type
Multi-omic
Dataset Format(s)
XML, TSV, TXT, BAM, VCF, MAF, BEDPE, IDAT, SVS
Dataset Size
2.5 petabytes
Other Resources
TGCA FAQs

All TGCA Publications