Minimum Conflict Individual Haplotyping from SNP Fragments and Related Genotype

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Minimum Conflict Individual Haplotyping from SNP Fragments and Related Genotype

The Minimum Error Correction (MEC) is an important model for haplotype reconstruction from SNP fragments. However, this model is effective only when the error rate of SNP fragments is low. In this paper, we propose a new computational model called Minimum Conflict Individual Haplotyping (MCIH) as an extension to MEC. In contrast to the conventional approaches, the new model employs SNP fragment...

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A model of higher accuracy for the individual haplotyping problem based on weighted SNP fragments and genotype with errors

MOTIVATION In genetic studies of complex diseases, haplotypes provide more information than genotypes. However, haplotyping is much more difficult than genotyping using biological techniques. Therefore effective computational techniques have been in demand. The individual haplotyping problem is the computational problem of inducing a pair of haplotypes from an individual's aligned SNP fragments...

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On the Complexity of the Single Individual SNP Haplotyping Problem

We present several new results pertaining to haplotyping. These results concern the combinatorial problem of reconstructing haplotypes from incomplete and/or imperfectly sequenced haplotype fragments. We consider the complexity of the problems Minimum Error Correction (MEC) and Longest Haplotype Reconstruction (LHR) for different restrictions on the input data. Specifically, we look at the gapl...

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Haplotype reconstruction from SNP fragments by minimum error correction

MOTIVATION Haplotype reconstruction based on aligned single nucleotide polymorphism (SNP) fragments is to infer a pair of haplotypes from localized polymorphism data gathered through short genome fragment assembly. An important computational model of this problem is the minimum error correction (MEC) model, which has been mentioned in several literatures. The model retrieves a pair of haplotype...

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ژورنال

عنوان ژورنال: Evolutionary Bioinformatics

سال: 2006

ISSN: 1176-9343,1176-9343

DOI: 10.1177/117693430600200032