Computational modeling of chromatin accessibility identified important epigenomic regulators.

Zhao, Yanding; Dong, Yadong; Hong, Wei; Jiang, Chongming; Yao, Kevin; Cheng, Chao

Zhao, Yanding; Dong, Yadong; Hong, Wei; Jiang, Chongming; Yao, Kevin; Cheng, Chao.

Affiliation

Zhao Y; Department of Medicine, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA.
Dong Y; The Institute for Clinical and Translational Research, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA.
Hong W; Department of Medicine, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA.
Jiang C; The Institute for Clinical and Translational Research, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA.
Yao K; Department of Medicine, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA.
Cheng C; The Institute for Clinical and Translational Research, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA.

BMC Genomics ; 23(1): 19, 2022 Jan 08.

Article in En | MEDLINE | ID: mdl-34996354

Subject(s)

Chromatin; Epigenomics; Binding Sites; Chromatin/genetics; Chromatin Immunoprecipitation; Computer Simulation; Humans; Protein Binding

Key words

Chromatin accessibility; ENCODE; Histone modifications; Machine learning; Transcription factor

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromatin / Epigenomics Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom

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