Literature DB >> 14512348

Haplotype inference by maximum parsimony.

Lusheng Wang1, Ying Xu.   

Abstract

MOTIVATION: Haplotypes have been attracting increasing attention because of their importance in analysis of many fine-scale molecular-genetics data. Since direct sequencing of haplotype via experimental methods is both time-consuming and expensive, haplotype inference methods that infer haplotypes based on genotype samples become attractive alternatives.
RESULTS: (1) We design and implement an algorithm for an important computational model of haplotype inference that has been suggested before in several places. The model finds a set of minimum number of haplotypes that explains the genotype samples. (2) Strong supports of this computational model are given based on the computational results on both real data and simulation data. (3) We also did some comparative study to show the strength and weakness of this computational model using our program. AVAILABILITY: The software HAPAR is free for non-commercial uses. Available upon request (lwang@cs.cityu.edu.hk).

Mesh:

Substances:

Year:  2003        PMID: 14512348     DOI: 10.1093/bioinformatics/btg239

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  25 in total

1.  How frugal is Mother Nature with haplotypes?

Authors:  Sharlee Climer; Gerold Jäger; Alan R Templeton; Weixiong Zhang
Journal:  Bioinformatics       Date:  2008-11-04       Impact factor: 6.937

Review 2.  Haplotype phasing: existing methods and new developments.

Authors:  Sharon R Browning; Brian L Browning
Journal:  Nat Rev Genet       Date:  2011-09-16       Impact factor: 53.242

3.  Evolutionary and functional analyses of cytochrome P4501A promoter polymorphisms in natural populations.

Authors:  Larissa M Williams; Marjorie F Oleksiak
Journal:  Mol Ecol       Date:  2011-11-18       Impact factor: 6.185

4.  Improved IBD detection using incomplete haplotype information.

Authors:  Giulio Genovese; Gregory Leibon; Martin R Pollak; Daniel N Rockmore
Journal:  BMC Genet       Date:  2010-06-30       Impact factor: 2.797

5.  Evidence of gene conversion in the evolutionary process of the codon 41/42 (-CTTT) mutation causing beta-thalassemia in southern China.

Authors:  Wen Zhang; Wang-Wei Cai; Wei-Ping Zhou; Hai-Peng Li; Liang Li; Wei Yan; Qin-Kai Deng; Ya-Ping Zhang; Yun-Xin Fu; Xiang-Min Xu
Journal:  J Mol Evol       Date:  2008-04-15       Impact factor: 2.395

6.  A survey on haplotyping algorithms for tightly linked markers.

Authors:  Jing Li; Tao Jiang
Journal:  J Bioinform Comput Biol       Date:  2008-02       Impact factor: 1.122

Review 7.  A comprehensive literature review of haplotyping software and methods for use with unrelated individuals.

Authors:  Rany M Salem; Jennifer Wessel; Nicholas J Schork
Journal:  Hum Genomics       Date:  2005-03       Impact factor: 4.639

8.  A survey of current software for haplotype phase inference.

Authors:  Michael E Weale
Journal:  Hum Genomics       Date:  2004-01       Impact factor: 4.639

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

Authors:  Xiang-Sun Zhang; Rui-Sheng Wang; Ling-Yun Wu; Wei Zhang
Journal:  Evol Bioinform Online       Date:  2007-02-16       Impact factor: 1.625

10.  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

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