Package: diffHic
Version: 1.12.1
Date: 2018-04-21
Title: Differential Analyis of Hi-C Data
Author: Aaron Lun <alun@wehi.edu.au>
Maintainer: Aaron Lun <alun@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
Suggests: BSgenome.Ecoli.NCBI.20080805, Matrix
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 (>= 1.12.1), zlibbioc, Rcpp
SystemRequirements: C++11
Packaged: 2018-06-02 00:31:41 UTC; biocbuild
Built: R 3.5.0; x86_64-apple-darwin15.6.0; 2018-06-02 07:53:18 UTC; unix
