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BART3D: Inferring transcriptional regulators associated with differential chromatin interactions from Hi-C data

By Zhenjia Wang, Yifan Zhang, Chongzhi Zang

Posted 20 Aug 2020
bioRxiv DOI: 10.1101/2020.08.19.258095

SummaryIdentification of functional transcriptional regulators associated with chromatin interactions is an important problem in studies of 3-dimensional genome organization and gene regulation. Direct inference of TR binding has been limited by the resolution of Hi-C data. Here, we present BART3D, a computational method for inferring TRs associated with genome-wide differential chromatin interactions by comparing Hi-C maps from two states, leveraging public ChIP-seq data for human and mouse. We demonstrate that BART3D can detect relevant TRs from dynamic Hi-C profiles with TR perturbation or cell differentiation. BART3D can be a useful tool in 3D genome data analysis and functional genomics research. Availability and ImplementationImplemented in Python, source code freely available at https://github.com/zanglab/bart3d Contactzang@virginia.edu Supplementary InformationSupplementary data are available.

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