CONDEX: COpy Number Detection in EXome Sequences

被引:0
|
作者
Ramachandran, Arthi [1 ]
Micsinai, Mariann [2 ]
Pe'er, Itsik [1 ]
机构
[1] Columbia Univ, Dept Comp Sci, 1214 Amsterdam Ave, New York, NY 10025 USA
[2] NYU, Sch Med, NYU Canc Inst, 530 First Ave, New York, NY 10016 USA
来源
2011 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS | 2011年
关键词
HIDDEN-MARKOV MODEL; SNP GENOTYPING DATA; SEQ;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:87 / 93
页数:7
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