Package: HiCociety
Type: Package
Title: Inferring Chromatin Interaction Modules from 3C-Based Data
Version: 0.1.38
Author: Sora Yoon [aut, cre]
Maintainer: Sora Yoon <sora.yoon@pennmedicine.upenn.edu>
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: 7.3.2
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
Authors@R: c(person(given = "Sora",
                    family = "Yoon",
                    role = c("aut", "cre"),
                    email = "sora.yoon@pennmedicine.upenn.edu"))
NeedsCompilation: yes
Packaged: 2025-05-09 21:22:42 UTC; sora
Repository: CRAN
Date/Publication: 2025-05-13 08:20:02 UTC
Built: R 4.5.1; x86_64-w64-mingw32; 2025-10-29 04:50:47 UTC; windows
Archs: x64
