Models and Algorithms for Haplotyping Problem

Xiang-Sun Zhang; Rui-Sheng Wang; Ling-Yun Wu; Luonan Chen

doi:10.2174/157489306775330570

ISSN: 1574-8936
E-ISSN:

Models and Algorithms for Haplotyping Problem
Authors: Xiang-Sun Zhang¹, Rui-Sheng Wang², Ling-Yun Wu³ and Luonan Chen⁴
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Affiliations: ¹ Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka 574-8530, Japan; ² Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka 574-8530, Japan; ³ Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka 574-8530, Japan; ⁴ Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka 574-8530, Japan;
Source: Current Bioinformatics, Volume 1, Issue 1, Jan 2006, p. 105 - 114
DOI: https://doi.org/10.2174/157489306775330570
- Available online: 01 Jan 2006

Abstract

One of the main topics in genomics is to determine the relevance of DNA variations with some genetic disease. Single nucleotide polymorphism (SNP) is the most frequent and important form of genetic variation which involves a single DNA base. The values of a set of SNPs on a particular chromosome copy define a haplotype. Because of its importance in the studies of complex disease association, haplotyping is one of the central problems in bioinformatics. There are two classes of in silico haplotyping problems, i.e., single individual haplotyping and population haplotyping. In this review paper, we give an overview on the existing models and algorithms on this topic, report the recent progresses from the computational viewpoint and further discuss the future research trends.

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2006-01-01

2024-10-17

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Article Type: Research Article

Keyword(s): haplotype assembly; Hardy-Weinber equilibrium (HWE); Minimum Fragment Removal (MFR); Perfect Phylogeny Haplotyping; Single nucleotide polymorphism (SNP)

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Models and Algorithms for Haplotyping Problem

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