Exact algorithms for haplotype assembly from whole-genome sequence data

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چکیده

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Exact algorithms for haplotype assembly from whole-genome sequence data

MOTIVATION Haplotypes play a crucial role in genetic analysis and have many applications such as gene disease diagnoses, association studies, ancestry inference and so forth. The development of DNA sequencing technologies makes it possible to obtain haplotypes from a set of aligned reads originated from both copies of a chromosome of a single individual. This approach is often known as haplotyp...

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Optimal algorithms for haplotype assembly from whole-genome sequence data

MOTIVATION Haplotype inference is an important step for many types of analyses of genetic variation in the human genome. Traditional approaches for obtaining haplotypes involve collecting genotype information from a population of individuals and then applying a haplotype inference algorithm. The development of high-throughput sequencing technologies allows for an alternative strategy to obtain ...

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An MCMC algorithm for haplotype assembly from whole-genome sequence data.

In comparison to genotypes, knowledge about haplotypes (the combination of alleles present on a single chromosome) is much more useful for whole-genome association studies and for making inferences about human evolutionary history. Haplotypes are typically inferred from population genotype data using computational methods. Whole-genome sequence data represent a promising resource for constructi...

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Relationship Estimation from Whole-Genome Sequence Data

The determination of the relationship between a pair of individuals is a fundamental application of genetics. Previously, we and others have demonstrated that identity-by-descent (IBD) information generated from high-density single-nucleotide polymorphism (SNP) data can greatly improve the power and accuracy of genetic relationship detection. Whole-genome sequencing (WGS) marks the final step i...

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Efficient Haplotype Inference Algorithms in One Whole Genome Scan for Pedigree Data with Non-genotyped Founders

An efficient rule-based algorithm is presented for haplotype inference from general pedigree genotype data, with the assumption of no recombination. This algorithm generalizes previous algorithms to handle the cases where some pedigree founders are not genotyped, provided that for each nuclear family at least one parent is genotyped and each non-genotyped founder appears in exactly one nuclear ...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2013

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btt349