The genetic architecture of heterochrony as a quantitative trait: lessons from a computational model.

Sun, Lidan; Sang, Mengmeng; Zheng, Chenfei; Wang, Dongyang; Shi, Hexin; Liu, Kaiyue; Guo, Yanfang; Cheng, Tangren; Zhang, Qixiang; Wu, Rongling

Sun, Lidan; Sang, Mengmeng; Zheng, Chenfei; Wang, Dongyang; Shi, Hexin; Liu, Kaiyue; Guo, Yanfang; Cheng, Tangren; Zhang, Qixiang; Wu, Rongling.

Afiliação

Sun L; Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture at Beijing Forestry University.
Sang M; Computational Genetics in the Center for Computational Biology at Beijing Forestry University.
Zheng C; Computational Genetics in the Center for Computational Biology at Beijing Forestry University.
Wang D; Computational Biology Center for Computational Biology at Beijing Forestry University.
Shi H; Computational Biology Center for Computational Biology at Beijing Forestry University.
Liu K; Computational Biology Center for Computational Biology at Beijing Forestry University.
Guo Y; Computational Biology Center for Computational Biology at Beijing Forestry University.
Cheng T; National Engineering Research Center for Floriculture at Beijing Forestry University.
Zhang Q; National Engineering Research Center for Floriculture at Beijing Forestry University.
Wu R; Center for Computational Biology at Beijing Forestry University.

Brief Bioinform ; 19(6): 1430-1439, 2018 11 27.

Article em En | MEDLINE | ID: mdl-28575183

Assuntos

Simulação por Computador; Locos de Características Quantitativas; Animais; Fenótipo

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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