Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy
Accurate detection of TADs requires ultra-deep sequencing and sophisticated normalisation procedures, which limits the analysis of Hi-C data. Here the authors develop a normalisation-free method to decode the domains of chromosomes (deDoc) that utilizes structural entropy to predict TADs with ultra-...
Main Authors: | Angsheng Li, Xianchen Yin, Bingxiang Xu, Danyang Wang, Jimin Han, Yi Wei, Yun Deng, Ying Xiong, Zhihua Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2018-08-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-018-05691-7 |
Similar Items
-
On entropy measures of molecular graphs using topological indices
by: Shazia Manzoor, et al.
Published: (2020-08-01) -
Topological Entropy and Special α-Limit Points of Graph Maps
by: Taixiang Sun, et al.
Published: (2011-01-01) -
Domain Formation Driven by the Entropy of Topological Edge Modes
by: Oreg, Y., et al.
Published: (2022) -
Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
by: Marc-Thorsten Hütt, et al.
Published: (2012-06-01) -
Set of periods, topological entropy and combinatorial dynamics for tree and graph maps
by: Juher Barrot, David
Published: (2003)