Connecting high-resolution 3D chromatin organization with epigenomics
While large-scale 3D genome architecture is well studied, the limits of resolution have hindered our understanding on the fine scale. Here the authors mapped 1D epigenomic profiles to fine-scale 3D chromatin structures with their deep learning model CAESAR. The model predicted fine-scale structures,...
Main Authors: | Fan Feng, Yuan Yao, Xue Qing David Wang, Xiaotian Zhang, Jie Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-04-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-29695-6 |
Similar Items
-
ENCODE: A Sourcebook of Epigenomes and Chromatin Language
by: Maryam Yavartanoo, et al.
Published: (2013-03-01) -
Retention of the Native Epigenome in Purified Mammalian Chromatin.
by: Andreas H Ehrensberger, et al.
Published: (2015-01-01) -
Chromatin epigenomic domain folding: size matters
by: Bertrand R. Caré, et al.
Published: (2015-09-01) -
Computational modeling of chromatin accessibility identified important epigenomic regulators
by: Yanding Zhao, et al.
Published: (2022-01-01) -
Comprehensive mapping of the 3D epigenome by high-content super-resolution image analysis
by: Sardiello, E
Published: (2018)