An HMM-based comparative genomic framework for detecting introgression in eukaryotes.

Liu, Kevin J; Dai, Jingxuan; Truong, Kathy; Song, Ying; Kohn, Michael H; Nakhleh, Luay

Liu, Kevin J; Dai, Jingxuan; Truong, Kathy; Song, Ying; Kohn, Michael H; Nakhleh, Luay.

Afiliación

Liu KJ; Department of Computer Science, Rice University, Houston, Texas, United States of America; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America.
Dai J; Department of Computer Science, Rice University, Houston, Texas, United States of America.
Truong K; Department of Computer Science, Rice University, Houston, Texas, United States of America.
Song Y; The State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Kohn MH; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America.
Nakhleh L; Department of Computer Science, Rice University, Houston, Texas, United States of America; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, United States of America.

PLoS Comput Biol ; 10(6): e1003649, 2014 Jun.

Article en En | MEDLINE | ID: mdl-24922281

Asunto(s)

Hibridación Genómica Comparativa; Evolución Molecular; Modelos Genéticos; Algoritmos; Animales; Mapeo Cromosómico; Biología Computacional; Simulación por Computador; Bases de Datos Genéticas; Genética de Población; Genómica; Cadenas de Markov; Ratones; Filogenia

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Evolución Molecular / Hibridación Genómica Comparativa / Modelos Genéticos Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Animals Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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