Package: ramr
Title: Detection of Rare Aberrantly Methylated Regions in Array and NGS
        Data
Version: 1.4.0
Authors@R: 
    person(given = "Oleksii",
           family = "Nikolaienko",
           role = c("aut", "cre"),
           email = "oleksii.nikolaienko@gmail.com",
           comment = c(ORCID = "0000-0002-5910-4934"))
Comment: Maintainer: Oleksii Nikolaienko
        <oleksii.nikolaienko@gmail.com>
Description: ramr is an R package for detection of low-frequency aberrant
    methylation events in large data sets obtained by methylation profiling
    using array or high-throughput bisulfite sequencing. In addition, package
    provides functions to visualize found aberrantly methylated regions (AMRs),
    to generate sets of all possible regions to be used as reference sets for
    enrichment analysis, and to generate biologically relevant test data sets
    for performance evaluation of AMR/DMR search algorithms.
Depends: R (>= 4.1), GenomicRanges, parallel, doParallel, foreach,
        doRNG, methods
Imports: IRanges, BiocGenerics, ggplot2, reshape2, EnvStats, ExtDist,
        matrixStats, S4Vectors
Suggests: RUnit, knitr, rmarkdown, gridExtra, annotatr, LOLA,
        org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene
License: Artistic-2.0
URL: https://github.com/BBCG/ramr
BugReports: https://github.com/BBCG/ramr/issues
Encoding: UTF-8
biocViews: DNAMethylation, DifferentialMethylation, Epigenetics,
        MethylationArray, MethylSeq
RoxygenNote: 7.1.2
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/ramr
git_branch: RELEASE_3_15
git_last_commit: 5cb93d3
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-27 00:42:17 UTC; biocbuild
Author: Oleksii Nikolaienko [aut, cre]
    (<https://orcid.org/0000-0002-5910-4934>)
Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko@gmail.com>
Built: R 4.2.0; ; 2022-04-27 09:56:59 UTC; windows
