Optimal algorithms for haplotype assembly from whole-genome sequence data

@inproceedings{He2010OptimalAF,
  title={Optimal algorithms for haplotype assembly from whole-genome sequence data},
  author={Dan He and Arthur Choi and Knot Pipatsrisawat and Adnan Darwiche and Eleazar Eskin},
  booktitle={Bioinformatics [ISMB]},
  year={2010}
}
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 haplotypes by combining sequence fragments. The problem of 'haplotype assembly' is the problem of… CONTINUE READING
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