The haplotype inference (HI) problem is defined as the problem of inferring 2n haplotype pairs from n observed genotype vectors. The inference of haplotype information from genotype data (the latter of which is more readily available) is very useful in researching genes affecting health, disease and responses to drugs and environmental factors. The PPH or the Perfect Phylogeny Haplotype model assumes that inferred haplotypes from a sample can be derived using a single tree, i.e. a perfect phylogeny. However, there are biological events such as recombination that violate this model. Stochastic methods on the other hand can infer haplotypes despite recombination but they can be time consuming and their inferences often depend on the initial state randomly chosen during a run. The research described in this monograph aimed to analyse previous models and solutions to the haplotype inference problem and engineer algorithms that would infer haplotypes from genotypes in the presence of recombination using disjoint and overlapping regions of perfect phylogeny and scale better in terms of time complexity.
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Syedur Rahman, originally from Dhaka, Bangladesh, holds a BEng in Computer Science from the University of York and a MSc in the same field from the University of Oxford in the United Kingdom. Recently, he has been working as a business consultant and as a university lecturer teaching undergraduate courses in computer science and engineering.
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Da: moluna, Greven, Germania
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rahman SyedurSyedur Rahman, originally from Dhaka, Bangladesh, holds a BEng innComputer Science from the University of York and a MSc in thensame field from the University of Oxford in the United Kingdom.nRecently, he has been workin. Codice articolo 4962253
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The haplotype inference (HI) problem is defined asthe problem of inferring 2n haplotype pairs from nobserved genotype vectors. The inference of haplotypeinformation from genotype data (the latter of whichis more readily available) is very useful inresearching genes affecting health, disease andresponses to drugs and environmental factors. The PPHor the Perfect Phylogeny Haplotype model assumes thatinferred haplotypes from a sample can be derivedusing a single tree, i.e. a perfect phylogeny.However, there are biological events such asrecombination that violate this model. Stochasticmethods on the other hand can infer haplotypesdespite recombination but they can be time consumingand their inferences often depend on the initialstate randomly chosen during a run. The researchdescribed in this monograph aimed to analyse previousmodels and solutions to the haplotype inferenceproblem and engineer algorithms that would inferhaplotypes from genotypes in the presence ofrecombination using disjoint and overlapping regionsof perfect phylogeny and scale better in terms oftime complexity. Codice articolo 9783639153637
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Imperfect Phylogeny Haplotype Inference | Using regions of perfect phylogeny | Syedur Rahman | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639153637 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 101571659
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