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Updated: Jul 13, 2025

Capturing Chromosome Conformation Across Length Scales
Published on: January 20, 2023
scHiCDiff: detecting differential chromatin interactions in single-cell Hi-C data
1Department of Statistics, University of California Riverside, Riverside, CA 92521, United States.
Summary:
Here, we presented the scHiCDiff software tool that provides both nonparametric tests and parametirc models to detect differential chromatin interactions (DCIs) from single-cell Hi-C data. We thoroughly evaluated the scHiCDiff methods on both simulated and real data. Our results demonstrated that scHiCDiff, especially the zero-inflated negative binomial model option, can effectively detect reliable and consistent single-cell DCIs between two conditions, thereby facilitating the study of cell type-specific variations of chromatin structures at the single-cell level.
Availability And Implementation:
scHiCDiff is implemented in R and freely available at GitHub (https://github.com/wmalab/scHiCDiff).

