Common copy number variation detection from multiple sequenced samples.

ABSTRACT: Common copy number variations (CNVs) are small regions of genomic variations at the same loci across multiple samples, which can be detected with high resolution from next-generation sequencing (NGS) technique. Multiple sequencing data samples are often available from genomic studies; examples include sequences from multiple platforms and sequences from multiple individuals. By integrating complementary information from multiple data samples, detection power can be potentially improved. However, most of current CNV detection methods often process an individual sequence sample, or two samples in an abnormal versus matched normal study; researches on detecting common CNVs across multiple samples have been very limited but are much needed. In this paper, we propose a novel method to detect co

SUBMITTER: Duan J 

PROVIDER: S-EPMC4165854 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature