HiCociety: Inferring Chromatin Interaction Modules from 3C-Based Data

Identifies chromatin interaction modules by constructing a Hi-C contact network based on statistically significant interactions, followed by network clustering. The method enables comparison of module connectivity across two Hi-C datasets and is capable of detecting cell-type-specific regulatory modules. By integrating network analysis with chromatin conformation data, this approach provides insights into the spatial organization of the genome and its functional implications in gene regulation. Author: Sora Yoon (2025) <https://github.com/ysora/HiCociety>.

Version:	0.1.38
Depends:	R (≥ 3.5.0)
Imports:	strawr, shape, fitdistrplus, igraph, ggraph, foreach, doParallel, biomaRt, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, org.Mm.eg.db, org.Hs.eg.db, Rcpp, AnnotationDbi, GenomicFeatures, parallel, IRanges, S4Vectors, grDevices, graphics, stats, BiocManager, BiocGenerics, GenomicRanges, pracma, signal, HiCocietyExample
LinkingTo:	Rcpp
Published:	2025-05-13
DOI:	10.32614/CRAN.package.HiCociety
Author:	Sora Yoon [aut, cre]
Maintainer:	Sora Yoon <sora.yoon at pennmedicine.upenn.edu>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	HiCociety results

Documentation:

Reference manual:

HiCociety.pdf

Downloads:

Package source:	HiCociety_0.1.38.tar.gz
Windows binaries:	r-devel: HiCociety_0.1.38.zip, r-release: HiCociety_0.1.38.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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