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: | 0.1.39 |
| Depends: | R (≥ 3.5.0) |
| Imports: | strawr, shape, fitdistrplus, igraph, foreach, doParallel, Rcpp, AnnotationDbi, GenomicFeatures, parallel, IRanges, S4Vectors, grDevices, graphics, stats, GenomicRanges, pracma, signal, HiCocietyExample |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), BiocManager, biomaRt, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, org.Mm.eg.db, org.Hs.eg.db |
| Published: | 2026-02-16 |
| DOI: | 10.32614/CRAN.package.HiCociety |
| Author: | Sora Yoon [aut, cre] |
| Maintainer: | Sora Yoon <ysora90 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | HiCociety results [issues need fixing before 2026-03-21] |
| Reference manual: | HiCociety.html , HiCociety.pdf |
| Package source: | HiCociety_0.1.39.tar.gz |
| Windows binaries: | r-devel: HiCociety_0.1.39.zip, r-release: HiCociety_0.1.39.zip, r-oldrel: HiCociety_0.1.39.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | HiCociety archive |
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