Ontology highlight
ABSTRACT: Unlabelled
Detailed analyses of the population-genetic nature of copy number variations (CNVs) and the linkage disequilibrium between CNV and single nucleotide polymorphism (SNP) loci from high-throughput experimental data require a computational tool to accurately infer alleles of CNVs and haplotypes composed of both CNV alleles and SNP alleles. Here we developed a new tool to infer population frequencies of such alleles and haplotypes from observed copy numbers and SNP genotypes, using the expectation-maximization algorithm. This tool can also handle copy numbers ambiguously determined, such as 2 or 3 copies, due to experimental noise.Availability
http://emu.src.riken.jp/MOCSphaser/MOCSphaser.zip.
SUBMITTER: Kato M
PROVIDER: S-EPMC2638261 | biostudies-literature | 2008 Jul
REPOSITORIES: biostudies-literature
Kato Mamoru M Nakamura Yusuke Y Tsunoda Tatsuhiko T
Bioinformatics (Oxford, England) 20080520 14
<h4>Unlabelled</h4>Detailed analyses of the population-genetic nature of copy number variations (CNVs) and the linkage disequilibrium between CNV and single nucleotide polymorphism (SNP) loci from high-throughput experimental data require a computational tool to accurately infer alleles of CNVs and haplotypes composed of both CNV alleles and SNP alleles. Here we developed a new tool to infer population frequencies of such alleles and haplotypes from observed copy numbers and SNP genotypes, using ...[more]