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

نویسندگان

  • Jarupon Fah Sathirapongsasuti
  • Hane Lee
  • Basil A. J. Horst
  • Georg Brunner
  • Alistair J. Cochran
  • Scott Binder
  • John Quackenbush
  • Stanley F. Nelson
چکیده

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 [email protected]; [email protected] SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

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عنوان ژورنال:
  • Bioinformatics

دوره 27 19  شماره 

صفحات  -

تاریخ انتشار 2011