Identification of key genes affecting porcine fat deposition based on co-expression network analysis of weighted genes.

Xing, Kai; Liu, Huatao; Zhang, Fengxia; Liu, Yibing; Shi, Yong; Ding, Xiangdong; Wang, Chuduan

Xing, Kai; Liu, Huatao; Zhang, Fengxia; Liu, Yibing; Shi, Yong; Ding, Xiangdong; Wang, Chuduan.

Afiliação

Xing K; Animal Science and Technology College, Beijing University of Agriculture, Beijing, China.
Liu H; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Zhang F; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Liu Y; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Shi Y; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Ding X; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China. xding@cau.edu.cn.
Wang C; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China. cdwang@cau.edu.cn.

J Anim Sci Biotechnol ; 12(1): 100, 2021 Aug 20.

Article em En | MEDLINE | ID: mdl-34419151

Palavras-chave

Fat deposition; Pigs; RNA-seq; WGCNA

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Anim Sci Biotechnol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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