Package: multiHiCcompare
Title: Normalize and detect differences between Hi-C datasets when
        replicates of each experimental condition are available
Version: 1.2.0
Authors@R: c(person("John", "Stansfield", email = "stansfieldjc@vcu.edu", 
    role = c("aut", "cre")), 
    person("Mikhail", "Dozmorov", email = "mikhail.dozmorov@vcuhealth.org",
    role = c("aut")))
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 (>= 3.5.0)
Imports: data.table, dplyr, HiCcompare, edgeR, BiocParallel, qqman,
        pheatmap, methods, metap, GenomicRanges, graphics, stats,
        utils, pbapply, GenomeInfoDbData, BLMA, GenomeInfoDb
biocViews: Software, HiC, Sequencing, Normalization
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat, BiocStyle
RoxygenNote: 6.1.0
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/multiHiCcompare
git_branch: RELEASE_3_9
git_last_commit: 1ac2fa1
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: no
Packaged: 2019-05-03 05:25:48 UTC; biocbuild
Author: John Stansfield [aut, cre],
  Mikhail Dozmorov [aut]
Maintainer: John Stansfield <stansfieldjc@vcu.edu>
Built: R 3.6.0; ; 2019-05-03 13:58:45 UTC; windows
