The haplotype resolution from xor-genotype data has been recently formulated as a new model for genetic studies [1]. The xorgenotype data is a cheaply obtainable type of data distinguishing heterozygous from homozygous sites without identifying the homozygous alleles. In this paper we propose a formulation based on a well known model used in haplotype inference: pure parsimony. We exhibit exact solutions of the problem by providing polynomial-time algorithms for some restricted cases and a fixed-parameter algorithm for the general case. These results are based on some interesting combinatorial properties of a graph representation of the solutions. Moreover we propose a heuristic and produce an experimental analysis showing that it scales to real-world instances taken from the HapMap project
Bonizzoni, P., DELLA VEDOVA, G., Dondi, R., Pirola, Y., Rizzi, R. (2009). Pure parsimony xor haplotyping. In Bioinformatics Research and Applications, 5th International Symposium (pp.186-197). Springer Verlag [10.1007/978-3-642-01551-9_19].
Pure parsimony xor haplotyping
BONIZZONI, PAOLA;DELLA VEDOVA, GIANLUCA;PIROLA, YURI;
2009
Abstract
The haplotype resolution from xor-genotype data has been recently formulated as a new model for genetic studies [1]. The xorgenotype data is a cheaply obtainable type of data distinguishing heterozygous from homozygous sites without identifying the homozygous alleles. In this paper we propose a formulation based on a well known model used in haplotype inference: pure parsimony. We exhibit exact solutions of the problem by providing polynomial-time algorithms for some restricted cases and a fixed-parameter algorithm for the general case. These results are based on some interesting combinatorial properties of a graph representation of the solutions. Moreover we propose a heuristic and produce an experimental analysis showing that it scales to real-world instances taken from the HapMap projectFile | Dimensione | Formato | |
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