Package: diffHic
Version: 1.18.0
Date: 2019-10-12
Title: Differential Analyis of Hi-C Data
Authors@R: c(person("Aaron", "Lun", role=c("aut", "cre"), email=
        "infinite.monkeys.with.keyboards@gmail.com"),
        person("Gordon", "Smyth", role="aut"))
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++11, GNU make
git_url: https://git.bioconductor.org/packages/diffHic
git_branch: RELEASE_3_10
git_last_commit: 425ec0a
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
Packaged: 2019-10-30 01:46:26 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Gordon Smyth [aut]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.6.1; x86_64-apple-darwin15.6.0; 2019-10-30 11:57:50 UTC; unix
