title: A survey of current software for haplotype phase inference.
abstract: In the past two years, tracking the explosion in data due to ever-improving single nucleotide polymorphism (SNP) maps and cheaper high-throughput genotyping technologies, a bewildering array of new algorithms and relevant software have appeared for haplotype phase inference. The alternatives to haplotype inference are to resolve haplotypes completely, either by in vitro methods or by typing close pedigrees, which is expensive and is not guaranteed in pedigrees, or to ignore haplotype-level analysis in favour of genotype-level analysis, which avoids the danger of treating inferred haplotypes as real but denies the researcher, potentially, any valuable analytic insights. This review attempts a snapshot of this rapidly moving field as it stands at present, and is mainly restricted, given the current predominance of SNP genotyping, to the consideration of diallelic data. For completeness, the review will occasionally refer to algorithms for which no software exists.
authors.affiliation: Bloomsbury Analytical Services, 28/30 Little Russell Street, London WC1A 2HN, UK. mw@bloomsburyanalytical.com
authors.forename: Michael E
authors.initials: ME
authors.lastname: Weale
mesh_terms: D000465:Algorithms; D000483:Alleles; D001499:Bayes Theorem; D003625:Data Collection; D006239:Haplotypes / Q000235:genetics*; D016013:Likelihood Functions; D020641:Polymorphism, Single Nucleotide; D012984:Software