An eco-evo-devo genetic network model of stress response.

Feng, Li; Dong, Tianyu; Jiang, Peng; Yang, Zhenyu; Dong, Ang; Xie, Shang-Qian; Griffin, Christopher H; Wu, Rongling

Feng, Li; Dong, Tianyu; Jiang, Peng; Yang, Zhenyu; Dong, Ang; Xie, Shang-Qian; Griffin, Christopher H; Wu, Rongling.

Afiliação

Feng L; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Dong T; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Jiang P; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Yang Z; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Dong A; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Xie SQ; Key Laboratory of Ministry of Education for Genetics and Germplasm Innovation of Tropical Special Trees and Ornamental Plants, College of Forestry, Hainan University, Haikou 570228, China.
Griffin CH; Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802, USA.
Wu R; Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Hortic Res ; 9: uhac135, 2022.

Article em En | MEDLINE | ID: mdl-36061617

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article