Package: diffHic
Version: 1.43.0
Date: 2024-12-16
Title: Differential Analysis of Hi-C Data
Author: Aaron Lun, Gordon Smyth
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>,
 Gordon Smyth <smyth@wehi.edu.au>, Hannah Coughlin
 <coughlin.h@wehi.edu.au>
Depends: R (>= 3.5), GenomicRanges, InteractionSet,
        SummarizedExperiment
Imports: Rsamtools, Rhtslib, Biostrings, BSgenome, rhdf5, edgeR, limma,
        csaw, locfit, methods, IRanges, S4Vectors, GenomeInfoDb,
        BiocGenerics, grDevices, graphics, stats, utils, Rcpp,
        rtracklayer
Suggests: BSgenome.Ecoli.NCBI.20080805, Matrix, testthat
biocViews: MultipleComparison, Preprocessing, Sequencing, Coverage,
        Alignment, Normalization, Clustering, HiC
Description: Detects differential interactions across biological
        conditions in a Hi-C experiment. Methods are provided for read
        alignment and data pre-processing into interaction counts.
        Statistical analysis is based on edgeR and supports
        normalization and filtering. Several visualization options are
        also available.
License: GPL-3
NeedsCompilation: yes
LinkingTo: Rhtslib (>= 1.13.1), Rcpp
SystemRequirements: C++, GNU make
Config/pak/sysreqs: make libbz2-dev liblzma-dev libxml2-dev libssl-dev
        xz-utils zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:25:47 UTC
RemoteUrl: https://github.com/bioc/diffHic
RemoteRef: HEAD
RemoteSha: c909cdbd1242388c8f3896e31c287eae4a515cc5
Packaged: 2026-02-08 09:20:08 UTC; root
Built: R 4.6.0; x86_64-apple-darwin20; 2026-02-08 09:27:05 UTC; unix
