ABSTRACT
Identification of functional transcriptional regulators (TRs) 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 two Hi-C maps, leveraging public ChIP-seq data for human and mouse. We demonstrate that BART3D can detect target TRs inducing chromatin architecture changes from dynamic Hi-C profiles with TR perturbation. BART3D can be a useful tool in 3D genome data analysis and functional genomics research.
Competing Interest Statement
The authors have declared no competing interest.