Abstract
Recent studies have shown important results in cancer in which somatic copy-number alteration(s) activates oncogenes, inactivates tumor suppressors, and have been implicated in cancer diagnostics and therapy. In this chapter, you will understand and analyze copy-number alteration data using R packages.
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Bibliography
Komura D, Shen F, Ishikawa S et al (2006) Genome-wide detection of human copy number variations using high density DNA oligonucleotide arrays. Genome Res 16(12):1575–1584
Nilsen G, Liestol K, Lingjaerde OC (2013) Copynumber: segmentation of single- and multi-track copy number data by penalized least squares regression. R package version 1.14.0
UCSC Genome Browser – https://genome.ucsc.edu
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© 2019 Springer Nature Singapore Pte Ltd.
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Kim, J.H. (2019). CNV Analysis. In: Genome Data Analysis. Learning Materials in Biosciences. Springer, Singapore. https://doi.org/10.1007/978-981-13-1942-6_17
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DOI: https://doi.org/10.1007/978-981-13-1942-6_17
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1941-9
Online ISBN: 978-981-13-1942-6
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