Package: diffHic
Version: 1.40.0
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
git_url: https://git.bioconductor.org/packages/diffHic
git_branch: RELEASE_3_21
git_last_commit: 013f5c9
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.21
Date/Publication: 2025-04-15
Packaged: 2025-04-15 21:23:17 UTC; biocbuild
Built: R 4.5.0; aarch64-apple-darwin20; 2025-04-16 03:47:36 UTC; unix
