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A Practical Guide to The Cancer Genome Atlas (TCGA)

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Statistical Genomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1418))

Abstract

The Cancer Genome Atlas (TCGA) is one of the most ambitious and successful cancer genomics programs to date. The TCGA program has generated, analyzed, and made available genomic sequence, expression, methylation, and copy number variation data on over 11,000 individuals who represent over 30 different types of cancer. This chapter provides a brief overview of the TCGA program and detailed instructions and tips for investigators on how to find, access, and download this data.

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References

  1. (2003) Sharing data from large-scale biological research projects: a system of tripartite responsibility. report of a meeting organized by the Wellcome Trust and held on 14–15 January 2003 at Fort Lauderdale, USA

    Google Scholar 

  2. Collins FS, Varmus H (2015) A new initiative on precision medicine. N Eng J Med. doi:10.1056/NEJMp1500523

    Google Scholar 

  3. Lawrence MS, Stojanov P, Mermel CH et al (2014) Discovery and saturation analysis of cancer genes across 21 tumour types. Nature 505:495–501

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Correspondence to Zhining Wang .

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Wang, Z., Jensen, M.A., Zenklusen, J.C. (2016). A Practical Guide to The Cancer Genome Atlas (TCGA). In: Mathé, E., Davis, S. (eds) Statistical Genomics. Methods in Molecular Biology, vol 1418. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3578-9_6

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  • DOI: https://doi.org/10.1007/978-1-4939-3578-9_6

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3576-5

  • Online ISBN: 978-1-4939-3578-9

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