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Synthetic promoter design in Escherichia coli based on a deep generative network.
Wang, Ye; Wang, Haochen; Wei, Lei; Li, Shuailin; Liu, Liyang; Wang, Xiaowo.
Affiliation
  • Wang Y; Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Wang H; Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Wei L; Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Li S; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Liu L; Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Wang X; Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
Nucleic Acids Res ; 48(12): 6403-6412, 2020 07 09.
Article in En | MEDLINE | ID: mdl-32424410
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Promoter Regions, Genetic / Sequence Analysis, DNA Language: En Journal: Nucleic Acids Res Year: 2020 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Promoter Regions, Genetic / Sequence Analysis, DNA Language: En Journal: Nucleic Acids Res Year: 2020 Document type: Article Affiliation country: Country of publication: