Computational modeling of chromatin accessibility identified important epigenomic regulators.

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作者： Yanding,Zhao ^[1] ; Yadong,Dong ^[2] ; Wei,Hong ^[1] ; Chongming,Jiang ^[2] ; Kevin,Yao ^[1] ; Chao,Cheng ^[2]

作者单位： Department of Medicine, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA. ^[1] 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. ^[2] Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, 77843, USA. ^[3] Department of Medicine, Baylor College of Medicine, Room ICTR 100D, One Baylor Plaza, Baylor College of Medicine, Houston, TX, 77030, USA. chao.cheng@bcm.edu. ^[4] 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. chao.cheng@bcm.edu. ^[5]

关键词 Chromatin accessibility ENCODE Histone modifications Machine learning Transcription factor

主题词结合部位(Binding Sites);染色质(Chromatin);染色质免疫沉淀法(Chromatin Immunoprecipitation);计算机模拟(Computer Simulation);表观基因组学(Epigenomics);人类(Humans);蛋白质结合(Protein Binding)

DOI 10.1186/s12864-021-08234-5

PMID 34996354

发布时间 2024-04-05

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