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Cancer Genomics and Proteomics pp 243–259Cite as

Computational Methods for DNA Copy-Number Analysis of Tumors

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1176))

Abstract

Study of DNA copy-number variation is a key part of cancer genomics. With the help of a comprehensive multistep computational procedure described here, copy-number profiles of tumor tissues or individual tumor cells may be generated and interpreted, starting with data acquired by next-generation sequencing. Several of the methods presented are specifically designed to handle cancer-related copy-number profiles. These include accounting for variation of ploidy and distilling somatic copy number alterations from the inherited background.

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Author information

Authors and Affiliations

  1. Cold Spring Harbor Laboratory, 1 Bungtown Road, 11724, Cold Spring Harbor, NY, USA

    Jude Kendall & Alexander Krasnitz

Authors
  1. Jude Kendall
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  2. Alexander Krasnitz
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Corresponding author

Correspondence to Alexander Krasnitz .

Editor information

Editors and Affiliations

  1. Department of Pathology& Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA

    Narendra Wajapeyee

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Kendall, J., Krasnitz, A. (2014). Computational Methods for DNA Copy-Number Analysis of Tumors. In: Wajapeyee, N. (eds) Cancer Genomics and Proteomics. Methods in Molecular Biology, vol 1176. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0992-6_20

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  • DOI: https://doi.org/10.1007/978-1-4939-0992-6_20

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-0991-9

  • Online ISBN: 978-1-4939-0992-6

  • eBook Packages: Springer Protocols

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