Your browser doesn't support javascript.
loading
MSTD for Detecting Topological Domains from 3D Genomic Maps.
Ye, Yusen; Gao, Lin; Zhang, Shihua.
Afiliación
  • Ye Y; School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China.
  • Gao L; School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China. lgao@mail.xidian.edu.cn.
  • Zhang S; NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China. zsh@amss.ac.cn.
Methods Mol Biol ; 2117: 79-92, 2020.
Article en En | MEDLINE | ID: mdl-31960373
In this chapter, we introduce a generic and efficient method to identify multiscale topological domains (MSTD), including cis- and trans-interacting regions, from a variety of 3D genomic datasets. We first applied MSTD to detect promoter-anchored interaction domains (PADs) from promoter capture Hi-C datasets across 17 primary blood cell types. The boundaries of PADs are significantly enriched with one or the combination of multiple epigenetic factors. Moreover, PADs between functionally similar cell types are significantly conserved in terms of domain regions and expression states. Cell type-specific PADs involve in distinct cell type-specific activities and regulatory events by dynamic interactions within them. We also employed MSTD to define multiscale domains from typical symmetric Hi-C datasets and illustrated its distinct superiority to the state-of-the-art methods in terms of accuracy, flexibility and efficiency.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN / Mapeo Cromosómico Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN / Mapeo Cromosómico Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2020 Tipo del documento: Article País de afiliación: China