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Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV.

Citation:

Sathirapongsasuti JF, Lee H, Horst BAJ, Brunner G, Cochran AJ, Binder S, Quackenbush J, Nelson SF. Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV. Bioinformatics. 2011;27 (19) :2648-54. Copy at https://tinyurl.com/y9up35eg

Date Published:

2011 Oct 1

Abstract:

MOTIVATION: The ability to detect copy-number variation (CNV) and loss of heterozygosity (LOH) from exome sequencing data extends the utility of this powerful approach that has mainly been used for point or small insertion/deletion detection. RESULTS: We present ExomeCNV, a statistical method to detect CNV and LOH using depth-of-coverage and B-allele frequencies, from mapped short sequence reads, and we assess both the method's power and the effects of confounding variables. We apply our method to a cancer exome resequencing dataset. As expected, accuracy and resolution are dependent on depth-of-coverage and capture probe design. AVAILABILITY: CRAN package 'ExomeCNV'. CONTACT: fsathira@fas.harvard.edu; snelson@ucla.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.