HiGwas: how to compute longitudinal GWAS data in population designs.

Wang, Zhong; Wang, Nating; Wang, Zilu; Jiang, Libo; Wang, Yaqun; Li, Jiahan; Wu, Rongling

Wang, Zhong; Wang, Nating; Wang, Zilu; Jiang, Libo; Wang, Yaqun; Li, Jiahan; Wu, Rongling.

Afiliação

Wang Z; School of Software Technology, Dalian University of Technology, Dalian 116023, China.
Wang N; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing 100083, China.
Wang Z; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Jiang L; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing 100083, China.
Wang Y; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Li J; The College of Arts & Sciences, Cornell University, Ithaca, NY 14850, USA.
Wu R; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing 100083, China.

Bioinformatics ; 36(14): 4222-4224, 2020 08 15.

Article em En | MEDLINE | ID: mdl-32502244

Assuntos

Estudo de Associação Genômica Ampla; Software; Genótipo; Humanos; Herança Multifatorial; Polimorfismo de Nucleotídeo Único

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Estudo de Associação Genômica Ampla Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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