Article
An efficient algorithm for haplotype inference on pedigrees with recombinations and mutations.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Pirola Yuri, Bonizzoni Paola, Jiang Tao
Abstract excerpt
Haplotype Inference (HI) is a computational challenge of crucial importance in a range of genetic studies. Pedigrees allow to infer haplotypes from genotypes more accurately than population data, since Mendelian inheritance restricts the set of possible solutions. In this work, we define a new HI problem on pedigrees, called MINIMUM-CHANGE HAPLOTYPE CONFIGURATION (MCHC) problem, that allows two types of genetic...
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