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.

Afiliación

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 en En | MEDLINE | ID: mdl-34996354

Asunto(s)

Cromatina; Epigenómica; Sitios de Unión; Cromatina/genética; Inmunoprecipitación de Cromatina; Simulación por Computador; Humanos; Unión Proteica

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cromatina / Epigenómica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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