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Error detection in SNP data by considering the likelihood of recombinational history implied by three-site combinations
Author(s) -
Donna Toleno,
Peter L. Morrell,
Michael T. Clegg
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm260
Subject(s) - perl , coalescent theory , haplotype , single nucleotide polymorphism , genotyping , snp , computer science , genetics , snp genotyping , computational biology , biology , data mining , gene , allele , genotype , phylogenetics , world wide web
Errors in nucleotide sequence and SNP genotyping data are problematic when inferring haplotypes. Previously published methods for error detection in haplotype data make use of pedigree information; however, for many samples, individuals are not related by pedigree. This article describes a method for detecting errors in haplotypes by considering the recombinational history implied by the patterns of variation, three SNPs at a time.

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