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Issue No.04 - October-December (2008 vol.5)
pp: 492-502
Loredana M. Genovese , IIT-CNR, Pisa
Filippo Geraci , IIT-CNR, Pisa
Marco Pellegrini , IIT-CNR, Pisa
ABSTRACT
Single nucleotide polymorphism (SNP) is the most frequent form of DNA variation. The set of SNP's present in a chromosome (called the em haplotype) is of interest in a wide area of applications in molecular biology and biomedicine, including diagnostic and medical therapy. In this paper we propose a new heuristic method for the problem of haplotype reconstruction for (portions of) a pair of homologous human chromosomes from a single individual (SIH). The problem is well known in literature and exact algorithms have been proposed for the case when no (or few) gaps are allowed in the input fragments. These algorithms, though exact and of polynomial complexity, are slow in practice. When gaps are considered no exact method of polynomial complexity is known. The problem is also hard to approximate with guarantees. Therefore fast heuristics have been proposed. In this paper we describe SpeedHap, a new heuristic method that is able to tackle the case of many gapped fragments and retains its effectiveness even when the input fragments have high rate of reading errors (up to 20%) and low coverage (as low as 3). We test SpeedHap on real data from the HapMap Project.
INDEX TERMS
Algorithms, Biology and genetics
CITATION
Loredana M. Genovese, Filippo Geraci, Marco Pellegrini, "SpeedHap: An Accurate Heuristic for the Single Individual SNP Haplotyping Problem with Many Gaps, High Reading Error Rate and Low Coverage", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.5, no. 4, pp. 492-502, October-December 2008, doi:10.1109/TCBB.2008.67
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