Haplotyping as perfect phylogeny: conceptual framework and efficient solutions
Proceedings of the sixth annual international conference on Computational biology
Large scale reconstruction of haplotypes from genotype data
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
The Haplotyping problem: an overview of computational models and solutions
Journal of Computer Science and Technology
Perfect phylogeny and haplotype assignment
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Incomplete Directed Perfect Phylogeny
SIAM Journal on Computing
Minimum Entropy Combinatorial Optimization Problems
CiE '09 Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice
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This paper deals with the computational problem of inferring complete information on haplotypes from haplotypes with missing data. This problem is one of the main issues in haplotyping, as the current DNA sequencing technology often produces haplotypes with missing bases and therefore the complete information on haplotypes has to be inferred through computational methods. In this paper, we propose a new algorithmic approach to the problem that assumes both the Coalescent and the Minimum Entropy models and we provide an experimental analysis relating it to the previously investigated approaches. In particular, the reconstruction of a perfect phylogeny from haplotypes with missing data is addressed.