A Dataset Generator for Whole Genome Shotgun Sequencing
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Comparing Assemblies Using Fragments and Mate-Pairs
WABI '01 Proceedings of the First International Workshop on Algorithms in Bioinformatics
SNPs Problems, Complexity, and Algorithms
ESA '01 Proceedings of the 9th Annual European Symposium on Algorithms
Opportunities for Combinatorial Optimization in Computational Biology
INFORMS Journal on Computing
Haplotype assembly from aligned weighted SNP fragments
Computational Biology and Chemistry
A heuristic algorithm for haplotype reconstruction from aligned weighted SNP fragments
International Journal of Bioinformatics Research and Applications
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Given a set of DNA sequence fragments of an individual with each base of every fragment attached a confidence value, the weighted minimum letter flips model (WMLF) of the individual haplotyping problem is to infer a pair of haplotypes by flipping a number of bases such that the sum of the confidence values corresponding to the flipped bases is minimized. WMLF is NP-hard. This paper proposes a parameterized exact algorithm for WMLF of time $O(nk_22^{k_2}+mlogm+mk_1)$, where mis the number of fragments, nis the number of SNP sites, k1is the maximum number of SNP sites that a fragment covers, and k2is the maximum number of fragments that cover a SNP site. Since in real biological experiments, both k1and k2are small, the parameterized algorithm is efficient in practical application.