Title :
CONDEX: Copy number detection in exome sequences
Author :
Ramachandran, Arthi ; Micsinai, Mariann ; Pe´er, Itsik
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
Exome sequencing by hybrid capture facilitates obtaining cost-effective, comprehensive data on coding sequence variation from short reads. Standard analysis tools focus on detecting and characterizing variants of single or a few nucleotides while copy number variants (CNVs) that span multiple regions of exon baits have not yet been considered. Here, we present a Hidden Markov Model based method to identify CNVs from exome sequencing data. Using depth coverage and the heterozygosity of SNPs, we call CNVs with per-exon training data from other samples. The method has >;90% accuracy in identification of deletions and insertions in simulations. Availability - http://code.google.com/p/condr/(Java).
Keywords :
bioinformatics; genetics; genomics; hidden Markov models; molecular biophysics; CONDEX; HMM; coding sequence variation; comprehensive data; copy number detection; copy number variants; cost-effective data; depth coverage; exome sequences; heterozygosity; hidden Markov model; hybrid capture; nucleotides; per-exon training data; span multiple regions; standard analysis tools; Accuracy; Arrays; Bioinformatics; Cancer; Computational modeling; Genomics; Hidden Markov models;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
DOI :
10.1109/BIBMW.2011.6112359