Haplotype Assembly from Weighted SNP Fragments and Related Genotype Information

Authors:
Seung-Ho Kang;In-Seon Jeong;Mun-Ho Choi;Hyeong-Seok Lim
Affiliations:
Dept. of Computer Science, Chonnam National University, Gwangju, Korea 500-757;Dept. of Computer Science, Chonnam National University, Gwangju, Korea 500-757;Dept. of Computer Science, Chonnam National University, Gwangju, Korea 500-757;Dept. of Computer Science, Chonnam National University, Gwangju, Korea 500-757
Venue:
FAW '08 Proceedings of the 2nd annual international workshop on Frontiers in Algorithmics
Year:
2008

Citing 7
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Abstract

The algorithms that are based on the Weighted Minimum Letter Flips (WMLF) model are more accurate in haplotype reconstruction than those based on the Minimum Letter Flips (MLF) model, but WMLF is effective only when the error rate in SNP fragments is low. In this paper, we first establish a new computational model that employs the related genotype information as an improvement of the WMLF model and show its NP-hardness, and then we propose an efficient genetic algorithm to solve for the haplotype assembly problem. The results of experiments on a real data set indicate that the introduction of genotype information to the WMLF model is quite effective in improving the reconstruction rate especially when the error rate in SNP fragments is high.