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BART3D: Inferring transcriptional regulators associated with differential chromatin interactions from Hi-C data
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.08.19.258095v1?rss=1
Authors: Wang, Z., Zhang, Y., Zang, C.
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.
Copy rights belong to original authors. Visit the link for more info
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By Multimodal LLCLink to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.08.19.258095v1?rss=1
Authors: Wang, Z., Zhang, Y., Zang, C.
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.
Copy rights belong to original authors. Visit the link for more info