Literature DB >> 18845583

A better block partition and ligation strategy for individual haplotyping.

Yuzhong Zhao1, Yun Xu, Zhihao Wang, Hong Zhang, Guoliang Chen.   

Abstract

MOTIVATION: Haplotype played an important role in the association studies of disease gene and drug responsivity over the past years, but the low throughput of expensive biological experiments largely limited its application. Alternatively, some efficient statistical methods were developed to deduce haplotypes from genotypes directly. Because these algorithms usually needed to estimate the frequencies of numerous possible haplotypes, the partition and ligation strategy was widely adopted to reduce the time complexity. The haplotypes were usually partitioned uniformly in the past, but recent studies showed that the haplotypes had their own block structure, which may be not uniform. More reasonable block partition and ligation strategy according to the haplotype structure may further improve the accuracy of individual haplotyping.
RESULTS: In this article, we presented a simple algorithm for block partition and ligation, which provided better accuracy for individual haplotyping. The block partition and ligation could be completed within O(m(2) logm+m(2n)) time complexity, where m represented the length of genotypes and n represented the number of individuals. We tested the performance of our algorithm on both real and simulated dataset. The result showed that our algorithm yielded better accuracy with short running time. AVAILABILITY: The software is publicly available at http://mail.ustc.edu.cn/~zyzh.

Mesh:

Year:  2008        PMID: 18845583     DOI: 10.1093/bioinformatics/btn519

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


  4 in total

1.  Global haplotype partitioning for maximal associated SNP pairs.

Authors:  Ali Katanforoush; Mehdi Sadeghi; Hamid Pezeshk; Elahe Elahi
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

2.  WinHAP: an efficient haplotype phasing algorithm based on scalable sliding windows.

Authors:  Yun Xu; Wenhua Cheng; Pengyu Nie; Fengfeng Zhou
Journal:  PLoS One       Date:  2012-08-14       Impact factor: 3.240

3.  WinHAP2: an extremely fast haplotype phasing program for long genotype sequences.

Authors:  Weihua Pan; Yanan Zhao; Yun Xu; Fengfeng Zhou
Journal:  BMC Bioinformatics       Date:  2014-05-30       Impact factor: 3.169

4.  Large-scale multiple testing in genome-wide association studies via region-specific hidden Markov models.

Authors:  Jian Xiao; Wensheng Zhu; Jianhua Guo
Journal:  BMC Bioinformatics       Date:  2013-09-25       Impact factor: 3.169

  4 in total

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