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A model framework for identifying genes that guide the evolution of heterochrony.
Sun, Lidan; Ye, Meixia; Hao, Han; Wang, Ningtao; Wang, Yaqun; Cheng, Tangren; Zhang, Qixiang; Wu, Rongling.
Afiliação
  • Sun L; Beijing Key Laboratory of Ornamental Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, China rwu@phs.psu.edu zqx@bjfu.edu.cn.
  • Ye M; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China rwu@phs.psu.edu zqx@bjfu.edu.cn.
  • Hao H; Center for Statistical Genetics, The Pennsylvania State University rwu@phs.psu.edu zqx@bjfu.edu.cn.
  • Wang N; Center for Statistical Genetics, The Pennsylvania State University.
  • Wang Y; Center for Statistical Genetics, The Pennsylvania State University.
  • Cheng T; Beijing Key Laboratory of Ornamental Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, China.
  • Zhang Q; Beijing Key Laboratory of Ornamental Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, China rwu@phs.psu.edu zqx@bjfu.edu.cn.
  • Wu R; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, ChinaCenter for Statistical Genetics, The Pennsylvania State University rwu@phs.psu.edu zqx@bjfu.edu.cn.
Mol Biol Evol ; 31(8): 2238-47, 2014 Aug.
Article em En | MEDLINE | ID: mdl-24817546
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Biologia Computacional / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Cromossômico / Biologia Computacional / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article