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scHiCcompare

Differential Analysis of Single-cell Hi-C Data

Bioconductor version: 3.24 · Package version: 1.5.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.scHiCcompare

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
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsHiC, Normalization, Sequencing, SingleCell, Software
Package Short Url https://bioconductor.org/packages/scHiCcompare/

Citation

From within R, enter citation("scHiCcompare"):

My Nguyen, Mikhail Dozmorov. scHiCcompare: Differential Analysis of Single-cell Hi-C Data. doi:10.18129/B9.bioc.scHiCcompare, R package version 1.5.0, https://bioconductor.org/packages/scHiCcompare.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

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

Source packagescHiCcompare_1.5.0.tar.gz
Windows binary (x86_64)scHiCcompare_1.5.0.zip
macOS binary (arm64)scHiCcompare_1.5.0.tgz
macOS binary (x86_64)scHiCcompare_1.5.0.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