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.

Afiliação

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 em En | MEDLINE | ID: mdl-30921327

Assuntos

Retrovirus Endógenos/genética; Genética Populacional/métodos; Genômica/métodos; Provírus/genética; Grupos Raciais/genética; Algoritmos; Genoma Humano/genética; Genoma Viral/genética; Humanos; Epidemiologia Molecular; Software

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Provírus / Retrovirus Endógenos / Genômica / Grupos Raciais / Genética Populacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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