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DAM
2007

Haplotyping with missing data via perfect path phylogenies

13 years 3 months ago
Haplotyping with missing data via perfect path phylogenies
Computational methods for inferring haplotype information from genotype data are used in studying the association between genomic variation and medical condition. Recently, Gusfield proposed a haplotype inference method that is based on perfect phylogeny principles. A fundamental problem arises when one tries to apply this approach in the presence of missing genotype data, which is common in practice. We show that the resulting theoretical problem is NP-hard even in very restricted cases. To cope with missing data, we introduce a variant of haplotyping via perfect phylogeny in which a path phylogeny is sought. Searching for perfect path phylogenies is strongly motivated by the characteristics of human genotype data: 70% of real instances that admit a perfect phylogeny also admit a perfect path phylogeny. Our main result is a fixed-parameter algorithm for haplotyping with missing data via perfect path phylogenies. We also present a simple linear-time algorithm for the problem on comp...
Jens Gramm, Till Nierhoff, Roded Sharan, Till Tant
Added 25 Dec 2010
Updated 25 Dec 2010
Type Journal
Year 2007
Where DAM
Authors Jens Gramm, Till Nierhoff, Roded Sharan, Till Tantau
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