NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATA.

ABSTRACT: Chromosome conformation capture experiments such as Hi-C are used to map the three-dimensional spatial organization of genomes. One specific feature of the 3D organization is known as topologically associating domains (TADs), which are densely interacting, contiguous chromatin regions playing important roles in regulating gene expression. A few algorithms have been proposed to detect TADs. In particular, the structure of Hi-C data naturally inspires application of community detection methods. However, one of the drawbacks of community detection is that most methods take exchangeability of the nodes in the network for granted; whereas the nodes in this case, that is, the positions on the chromosomes, are not exchangeable. We propose a network model for detecting TADs using Hi-C data that ta

SUBMITTER: Wang YXR 

PROVIDER: S-EPMC7508461 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature