Package: multiHiCcompare
Title: Normalize and detect differences between Hi-C datasets when
        replicates of each experimental condition are available
Version: 1.14.0
Author: John Stansfield <stansfieldjc@vcu.edu>,
    Mikhail Dozmorov <mikhail.dozmorov@vcuhealth.org>
Maintainer: John Stansfield <stansfieldjc@vcu.edu>, Mikhail Dozmorov <mikhail.dozmorov@vcuhealth.org>
Description: multiHiCcompare provides functions for joint normalization 
    and difference detection in multiple Hi-C datasets. This extension of
    the original HiCcompare package now allows for Hi-C experiments with 
    more than 2 groups and multiple samples per group. multiHiCcompare 
    operates on processed Hi-C data in the form of sparse upper triangular 
    matrices. It accepts four column (chromosome, region1, region2, IF)
    tab-separated text files storing chromatin interaction matrices. 
    multiHiCcompare provides cyclic loess and fast loess (fastlo) methods
    adapted to jointly normalizing Hi-C data. Additionally, it provides 
    a general linear model (GLM) framework adapting the edgeR package to detect
    differences in Hi-C data in a distance dependent manner. 
Depends: R (>= 4.0.0)
Imports: data.table, dplyr, HiCcompare, edgeR, BiocParallel, qqman,
        pheatmap, methods, GenomicRanges, graphics, stats, utils,
        pbapply, GenomeInfoDbData, GenomeInfoDb, aggregation
biocViews: Software, HiC, Sequencing, Normalization
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat, BiocStyle
RoxygenNote: 7.1.1
VignetteBuilder: knitr
BugReports: https://github.com/dozmorovlab/multiHiCcompare/issues
URL: https://github.com/dozmorovlab/multiHiCcompare
git_url: https://git.bioconductor.org/packages/multiHiCcompare
git_branch: RELEASE_3_15
git_last_commit: 1c6969d
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-26 23:51:03 UTC; biocbuild
Built: R 4.2.0; ; 2022-04-27 14:18:46 UTC; unix
