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regBase: whole genome base-wise aggregation and functional prediction for human non-coding regulatory variants.
Zhang, Shijie; He, Yukun; Liu, Huanhuan; Zhai, Haoyu; Huang, Dandan; Yi, Xianfu; Dong, Xiaobao; Wang, Zhao; Zhao, Ke; Zhou, Yao; Wang, Jianhua; Yao, Hongcheng; Xu, Hang; Yang, Zhenglu; Sham, Pak Chung; Chen, Kexin; Li, Mulin Jun.
Afiliación
  • Zhang S; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • He Y; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Liu H; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Zhai H; Department of Computer Science, University of Illinois Urbana-Champaign, IL, USA.
  • Huang D; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Yi X; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Dong X; School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
  • Wang Z; Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
  • Zhao K; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Zhou Y; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Wang J; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Yao H; Department of Pharmacology, School of Basic Medical Sciences, Tianjin Key Laboratory of Inflammation Biology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Xu H; School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
  • Yang Z; School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
  • Sham PC; College of Computer Science, Nankai University, Tianjin, China.
  • Chen K; Centre of Genomics Sciences, State Key Laboratory of Brain and Cognitive Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Li MJ; Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Nucleic Acids Res ; 47(21): e134, 2019 12 02.
Article en En | MEDLINE | ID: mdl-31511901
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Genoma Humano / Bases de Datos Genéticas / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Genoma Humano / Bases de Datos Genéticas / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido