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StripeDiff: Model-based algorithm for differential analysis of chromatin stripe.
Gupta, Krishan; Wang, Guangyu; Zhang, Shuo; Gao, Xinlei; Zheng, Rongbin; Zhang, Yanchun; Meng, Qingshu; Zhang, Lili; Cao, Qi; Chen, Kaifu.
Afiliação
  • Gupta K; Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.
  • Wang G; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
  • Zhang S; Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.
  • Gao X; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
  • Zheng R; Houston Methodist Hospital Research Institute, Houston, TX 77030, USA.
  • Zhang Y; Houston Methodist Hospital Research Institute, Houston, TX 77030, USA.
  • Meng Q; Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.
  • Zhang L; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
  • Cao Q; Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.
  • Chen K; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA.
Sci Adv ; 8(49): eabk2246, 2022 Dec 09.
Article em En | MEDLINE | ID: mdl-36475785
Multiple recent studies revealed stripes as an architectural feature of three-dimensional chromatin and found stripes connected to epigenetic regulation of transcription. Whereas a couple of tools are available to define stripes in a single sample, there is yet no reported method to quantitatively measure the dynamic change of each stripe between samples. Here, we developed StripeDiff, a bioinformatics tool that delivers a set of statistical methods to detect differential stripes between samples. StripeDiff showed optimal performance in both simulation data analysis and real Hi-C data analysis. Applying StripeDiff to 12 sets of Hi-C data revealed new insights into the connection between change of chromatin stripe and change of chromatin modification, transcriptional regulation, and cell differentiation. StripeDiff will be a robust tool for the community to facilitate understanding of stripes and their function in numerous biological models.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos