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HumanNet v3: an improved database of human gene networks for disease research.
Kim, Chan Yeong; Baek, Seungbyn; Cha, Junha; Yang, Sunmo; Kim, Eiru; Marcotte, Edward M; Hart, Traver; Lee, Insuk.
Affiliation
  • Kim CY; Department of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul 03722, Korea.
  • Baek S; Department of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul 03722, Korea.
  • Cha J; Department of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul 03722, Korea.
  • Yang S; Department of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul 03722, Korea.
  • Kim E; Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Marcotte EM; Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA.
  • Hart T; Department of Molecular Biosciences, University of Texas at Austin, TX 78712, USA.
  • Lee I; Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Nucleic Acids Res ; 50(D1): D632-D639, 2022 01 07.
Article in En | MEDLINE | ID: mdl-34747468

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Communicable Diseases / Databases, Genetic / Gene Regulatory Networks / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Communicable Diseases / Databases, Genetic / Gene Regulatory Networks / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article