The problem of resolving genotypes into haplotypes, under the perfect phylogeny model, has been under intensive study recently. All studies so far handled missing data entries in a heuristic manner. We prove that the perfect phylogeny haplotype problem is NPcomplete when some of the data entries are missing, even when the phylogeny is rooted. We define a biologically motivated probabilistic model for genotype generation and for the way missing data occur. Under this model, we provide an algorithm, which takes an expected polynomial time. In tests on simulated data, our algorithm quickly resolves the genotypes under high rates of missing entries
The haplotype inference problem (HIP) asks to find a set of haplotypes which resolve a given set of ...
In this paper, we explore the problem of constructing near-perfect phylogenies bi-allelic haplotypes...
International audienceABSTRACT : We recently described a new method to identify disease susceptibili...
Computational methods for inferring haplotype information from genotype data are used in studying th...
We address the problem of reconstructing haplotypes in a population, given a sample of genotypes and...
Haplotyping, also known as haplotype phase prediction, is the problem of predicting likely hap-lotyp...
AbstractHaplotyping, also known as haplotype phase prediction, is the problem of predicting likely h...
The incomplete perfect phylogeny (IPP) problem and the incomplete perfect phylogeny haplotyping (IPP...
The incomplete perfect phylogeny (IPP) problem and the incomplete perfect phylogenyhaplotyping (IPPH...
Abstract — The incomplete perfect phylogeny (IPP) problem and the incomplete perfect phylogeny haplo...
AbstractComputational methods for inferring haplotype information from genotype data are used in stu...
The paper addresses the combinatorial problem of inferring the unknown haplotypes in a population, g...
We present several new results pertaining to haplotyping. The first set of results concerns the comb...
Motivation: We explore the problem of constructing near-perfect phylogenies on bi-allelic haplotypes...
Motivation: We explore the problem of constructing near-perfect phylogenies on bi-allelic haplotypes...
The haplotype inference problem (HIP) asks to find a set of haplotypes which resolve a given set of ...
In this paper, we explore the problem of constructing near-perfect phylogenies bi-allelic haplotypes...
International audienceABSTRACT : We recently described a new method to identify disease susceptibili...
Computational methods for inferring haplotype information from genotype data are used in studying th...
We address the problem of reconstructing haplotypes in a population, given a sample of genotypes and...
Haplotyping, also known as haplotype phase prediction, is the problem of predicting likely hap-lotyp...
AbstractHaplotyping, also known as haplotype phase prediction, is the problem of predicting likely h...
The incomplete perfect phylogeny (IPP) problem and the incomplete perfect phylogeny haplotyping (IPP...
The incomplete perfect phylogeny (IPP) problem and the incomplete perfect phylogenyhaplotyping (IPPH...
Abstract — The incomplete perfect phylogeny (IPP) problem and the incomplete perfect phylogeny haplo...
AbstractComputational methods for inferring haplotype information from genotype data are used in stu...
The paper addresses the combinatorial problem of inferring the unknown haplotypes in a population, g...
We present several new results pertaining to haplotyping. The first set of results concerns the comb...
Motivation: We explore the problem of constructing near-perfect phylogenies on bi-allelic haplotypes...
Motivation: We explore the problem of constructing near-perfect phylogenies on bi-allelic haplotypes...
The haplotype inference problem (HIP) asks to find a set of haplotypes which resolve a given set of ...
In this paper, we explore the problem of constructing near-perfect phylogenies bi-allelic haplotypes...
International audienceABSTRACT : We recently described a new method to identify disease susceptibili...