Package: diffHic
Version: 1.38.0
Date: 2024-05-11
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), zlibbioc, Rcpp
SystemRequirements: C++, GNU make
git_url: https://git.bioconductor.org/packages/diffHic
git_branch: RELEASE_3_20
git_last_commit: d60781d
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
Packaged: 2024-10-30 00:26:35 UTC; biocbuild
Built: R 4.4.2; x86_64-apple-darwin13.4.0; 2024-12-22 12:15:02 UTC; unix
