Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV
Top Cited Papers
Open Access
- 9 August 2011
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 27 (19) , 2648-2654
- https://doi.org/10.1093/bioinformatics/btr462
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.This publication has 36 references indexed in Scilit:
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