Haplotyping as perfect phylogeny: conceptual framework and efficient solutions
Proceedings of the sixth annual international conference on Computational biology
Opportunities for Combinatorial Optimization in Computational Biology
INFORMS Journal on Computing
Integer Programming Approaches to Haplotype Inference by Pure Parsimony
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Haplotyping Populations by Pure Parsimony: Complexity of Exact and Approximation Algorithms
INFORMS Journal on Computing
Haplotype inference by pure Parsimony
CPM'03 Proceedings of the 14th annual conference on Combinatorial pattern matching
A Class Representative Model for Pure Parsimony Haplotyping
INFORMS Journal on Computing
A polynomial case of the parsimony haplotyping problem
Operations Research Letters
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We partially order a collection of genotypes so that we can represent the NP-Hard problem of inferring the least number of haplotypes in terms of substructures we call g-lattices. This representation allows us to prove that the problem can be solved efficiently if the genotypes partition into chains with certain structure. Even without the specified structure, the decomposition shows how to separate the underlying integer programming model into smaller models.