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GWAS4D: multidimensional analysis of context-specific regulatory variant for human complex diseases and traits.
Huang, Dandan; Yi, Xianfu; Zhang, Shijie; Zheng, Zhanye; Wang, Panwen; Xuan, Chenghao; Sham, Pak Chung; Wang, Junwen; Li, Mulin Jun.
Afiliação
  • Huang D; Department of Pharmacology, Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Yi X; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Zhang S; School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
  • Zheng Z; Department of Pharmacology, Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Wang P; Department of Pharmacology, Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Xuan C; Department of Health Sciences Research & Center for Individualized Medicine, Mayo Clinic, Scottsdale, USA.
  • Sham PC; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Wang J; Center for Genomic Sciences, The University of Hong Kong, Hong Kong SAR, China.
  • Li MJ; Departments of Psychiatry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Nucleic Acids Res ; 46(W1): W114-W120, 2018 07 02.
Article em En | MEDLINE | ID: mdl-29771388
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Doenças Genéticas Inatas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China
Texto completo
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Locos de Características Quantitativas / Estudo de Associação Genômica Ampla / Doenças Genéticas Inatas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China