A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations.

Li, Weiling; Lin, Lin; Malhotra, Raunaq; Yang, Lei; Acharya, Raj; Poss, Mary

Li, Weiling; Lin, Lin; Malhotra, Raunaq; Yang, Lei; Acharya, Raj; Poss, Mary.

Afiliación

Li W; The School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America.
Lin L; Department of Statistics, The Pennsylvania State University, University Park, PA, United States of America.
Malhotra R; The School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America.
Yang L; Department of Biology, The Pennsylvania State University, University Park, PA, United States of America.
Acharya R; The School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America.
Poss M; School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, United States of America.

PLoS Comput Biol ; 15(3): e1006564, 2019 03.

Article en En | MEDLINE | ID: mdl-30921327

Asunto(s)

Retrovirus Endógenos/genética; Genética de Población/métodos; Genómica/métodos; Provirus/genética; Grupos Raciales/genética; Algoritmos; Genoma Humano/genética; Genoma Viral/genética; Humanos; Epidemiología Molecular; Programas Informáticos

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Provirus / Retrovirus Endógenos / Genómica / Grupos Raciales / Genética de Población Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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