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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179661PMC
http://dx.doi.org/10.1093/bioinformatics/btr462DOI Listing

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