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A method for scoring the cell type-specific impacts of noncoding variants in personal genomes.
Li, Wenran; Duren, Zhana; Jiang, Rui; Wong, Wing Hung.
Affiliation
  • Li W; Department of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford University, Stanford, CA 94305.
  • Duren Z; Ministry of Education Key Laboratory of Bioinformatics, Research Department of Bioinformatics at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China.
  • Jiang R; Department of Statistics, Department of Biomedical Data Science, Bio-X Program, Stanford University, Stanford, CA 94305.
  • Wong WH; Ministry of Education Key Laboratory of Bioinformatics, Research Department of Bioinformatics at the Beijing National Research Center for Information Science and Technology, Center for Synthetic and Systems Biology, Department of Automation, Tsinghua University, Beijing 100084, China ruijiang@tsingh
Proc Natl Acad Sci U S A ; 117(35): 21364-21372, 2020 09 01.
Article in En | MEDLINE | ID: mdl-32817564
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Genome, Human / Genetic Techniques / Regulatory Elements, Transcriptional / Models, Genetic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2020 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Genome, Human / Genetic Techniques / Regulatory Elements, Transcriptional / Models, Genetic Type of study: Prognostic_studies Limits: Humans Language: En Journal: Proc Natl Acad Sci U S A Year: 2020 Type: Article