Ontology highlight
ABSTRACT:
SUBMITTER: Li A
PROVIDER: S-EPMC6093941 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
Li Angsheng A Yin Xianchen X Xu Bingxiang B Wang Danyang D Han Jimin J Wei Yi Y Deng Yun Y Xiong Ying Y Zhang Zhihua Z
Nature communications 20180815 1
Submegabase-size topologically associating domains (TAD) have been observed in high-throughput chromatin interaction data (Hi-C). However, accurate detection of TADs depends on ultra-deep sequencing and sophisticated normalization procedures. Here we propose a fast and normalization-free method to decode the domains of chromosomes (deDoc) that utilizes structural information theory. By treating Hi-C contact matrix as a representation of a graph, deDoc partitions the graph into segments with mini ...[more]