Package: HiCociety
Type: Package
Title: Inferring Chromatin Interaction Modules from 3C-Based Data
Version: 0.1.39
Authors@R: 
    c(person(given = "Sora",
             family = "Yoon",
             role = c("aut", "cre"),
             email = "ysora90@gmail.com"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
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
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
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-02-16 10:34:36 UTC; sorayoon
Author: Sora Yoon [aut, cre]
Maintainer: Sora Yoon <ysora90@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-16 11:00:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-02-17 00:50:56 UTC; windows
Archs: x64
