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Updated: Nov 2, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP
Merve Sahin1,2, Wilfred Wong1,2, Yingqian Zhan3
1Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Abstract:
Recent genome-wide chromosome conformation capture assays such as Hi-C and HiChIP have vastly expanded the resolution and throughput with which we can study 3D genomic architecture and function. Here, we present HiC-DC+, a software tool for Hi-C/HiChIP interaction calling and differential analysis using an efficient implementation of the HiC-DC statistical framework. HiC-DC+ integrates with popular preprocessing and visualization tools and includes topologically associating domain (TAD) and A/B compartment callers. We found that HiC-DC+ can more accurately identify enhancer-promoter interactions in H3K27ac HiChIP, as validated by CRISPRi-FlowFISH experiments, compared to existing methods. Differential HiC-DC+ analyses of published HiChIP and Hi-C data sets in settings of cellular differentiation and cohesin perturbation systematically and quantitatively recovers biological findings, including enhancer hubs, TAD aggregation, and the relationship between promoter-enhancer loop dynamics and gene expression changes. HiC-DC+ therefore provides a principled statistical analysis tool to empower genome-wide studies of 3D chromatin architecture and function.
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