Literature DB >> 15285905

Haplotype reconstruction from SNP alignment.

Lei M Li1, Jong Hyun Kim, Michael S Waterman.   

Abstract

In this paper, we describe a method for statistical reconstruction of haplotypes from a set of aligned SNP fragments. We consider the case of a pair of homologous human chromosomes, one from the mother and the other from the father. After fragment assembly, we wish to reconstruct the two haplotypes of the parents. Given a set of potential SNP sites inferred from the assembly alignment, we wish to divide the fragment set into two subsets, each of which represents one chromosome. Our method is based on a statistical model of sequencing errors, compositional information, and haplotype memberships. We calculate probabilities of different haplotypes conditional on the alignment. Due to computational complexity, we first determine phases for neighboring SNPs. Then we connect them and construct haplotype segments. Also, we compute the accuracy or confidence of the reconstructed haplotypes. We discuss other issues, such as alternative methods, parameter estimation, computational efficiency, and relaxation of assumptions.

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Year:  2004        PMID: 15285905     DOI: 10.1089/1066527041410454

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  9 in total

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3.  Joint haplotype assembly and genotype calling via sequential Monte Carlo algorithm.

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Journal:  BMC Bioinformatics       Date:  2015-07-16       Impact factor: 3.169

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5.  HI: haplotype improver using paired-end short reads.

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6.  Minimum conflict individual haplotyping from SNP fragments and related genotype.

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7.  MixSIH: a mixture model for single individual haplotyping.

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Journal:  BMC Genomics       Date:  2013-02-15       Impact factor: 3.969

8.  A highly accurate heuristic algorithm for the haplotype assembly problem.

Authors:  Fei Deng; Wenjuan Cui; Lusheng Wang
Journal:  BMC Genomics       Date:  2013-02-15       Impact factor: 3.969

9.  Integrating dilution-based sequencing and population genotypes for single individual haplotyping.

Authors:  Hirotaka Matsumoto; Hisanori Kiryu
Journal:  BMC Genomics       Date:  2014-08-28       Impact factor: 3.969

  9 in total

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