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TADCompare

TADCompare: Identification and characterization of differential TADs

Bioconductor version: 3.23 · Package version: 1.22.2

Other Bioconductor versions

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

3.24 (devel), 3.23 (release)

TADCompare is an R package designed to identify and characterize differential Topologically Associated Domains (TADs) between multiple Hi-C contact matrices. It contains functions for finding differential TADs between two datasets, finding differential TADs over time and identifying consensus TADs across multiple matrices. It takes all of the main types of HiC input and returns simple, comprehensive, easy to analyze results.

DOI: 10.18129/B9.bioc.TADCompare

Installation

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

BiocManager::install("TADCompare")

Details

MaintainerMikhail Dozmorov <mikhail.dozmorov@gmail.com>
AuthorMikhail Dozmorov [aut, cre] (ORCID: <https://orcid.org/0000-0002-0086-8358>), Kellen Cresswell [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/dozmorovlab/TADCompare
Bug Reportshttps://github.com/dozmorovlab/TADCompare/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsClustering, FeatureExtraction, HiC, Sequencing, Software
Package Short Url https://bioconductor.org/packages/TADCompare/

Citation

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

Mikhail Dozmorov, Kellen Cresswell. TADCompare: TADCompare: Identification and characterization of differential TADs. doi:10.18129/B9.bioc.TADCompare, R package version 1.22.2, https://bioconductor.org/packages/TADCompare.

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 packageTADCompare_1.22.2.tar.gz
Windows binary (x86_64)TADCompare_1.22.2.zip
macOS binary (arm64)TADCompare_1.22.2.tgz
macOS binary (x86_64)TADCompare_1.22.2.tgz
Dependencies

Depends: R (>= 4.0)

Imports: dplyr, cluster, Matrix, magrittr, HiCcompare, ggplot2, tidyr, ggpubr, RColorBrewer, reshape2, cowplot

Suggests: BiocStyle, knitr, rmarkdown, microbenchmark, testthat, covr, pheatmap, SpectralTAD, magick, qpdf