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BioinformaticsNAR Genomics and Bioinformatics
Peer-reviewed journal article

PHi-C: deciphering Hi-C data into polymer dynamics

Soya ShinkaiiD, Masaki NakagawaiD, Takeshi SugawaraiD, Yuichi TogashiiD, Hiroshi OchiaiiD, Ryuichiro NakatoiD, Yuichi TaniguchiiD, Shuichi OnamiiD

Abstract

Computational modelling methods for Hi-C data have revealed averaged and static features of the 3D genome in cell nuclei. Here, we describe a 4D simulation method, PHi-C (Polymer dynamics deciphered from Hi-C data), that depicts dynamic 3D genome features through polymer modelling. This method allows for demonstrations of dynamic characteristics of genomic loci and chromosomes, as observed in live-cell imaging experiments, and provides physical insights into Hi-C data.

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