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scHiCcompare

Differential Analysis of Single-cell Hi-C Data

Bioconductor version: 3.23 · Package version: 1.4.0

This package provides functions for differential chromatin interaction analysis between two single-cell Hi-C data groups. It includes tools for imputation, normalization, and differential analysis of chromatin interactions. The package implements pooling techniques for imputation and offers methods to normalize and test for differential interactions across single-cell Hi-C datasets.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scHiCcompare")

Details

MaintainerMy Nguyen <hamy.12398@gmail.com>
AuthorMy Nguyen [aut, cre] (ORCID: <https://orcid.org/0009-0003-1118-7085>), Mikhail Dozmorov [aut] (ORCID: <https://orcid.org/0000-0002-0086-8358>)
LicenseMIT + file LICENSE
URLhttps://github.com/dozmorovlab/ScHiCcompare
Bug Reportshttps://github.com/dozmorovlab/ScHiCcompare/issues
Downloads rank275
Source branchRELEASE_3_23
biocViewsHiC, Normalization, Sequencing, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescHiCcompare_1.4.0.tar.gz
Windows binary (x86_64)scHiCcompare_1.4.0.zip
macOS binary (arm64)scHiCcompare_1.4.0.tgz
macOS binary (x86_64)scHiCcompare_1.4.0.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: grDevices, graphics, stats, utils, dplyr, ggplot2, gtools, HiCcompare, lattice, mclust, mice, miceadds, ranger, rstatix, tidyr, rlang, data.table, BiocParallel

Suggests: knitr, rmarkdown, testthat, BiocStyle, DT, gridExtra