Package: ramr
Title: Detection of Rare Aberrantly Methylated Regions in Array and NGS
        Data
Version: 1.21.3
Authors@R: 
  person(given = "Oleksii",
    family = "Nikolaienko",
    role = c("aut", "cre"),
    email = "oleksii.nikolaienko@gmail.com",
    comment = c(ORCID = "0000-0002-5910-4934"))
Description: ramr is an R package for detection of epimutations (i.e.,
        infrequent aberrant DNA methylation events) in large data sets
        obtained by methylation profiling using array or
        high-throughput methylation 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.
SystemRequirements: C++20, GNU make
NeedsCompilation: yes
Depends: R (>= 4.1)
Imports: methods, data.table, Seqinfo, GenomicRanges, IRanges,
        BiocGenerics, S4Vectors, Rcpp
LinkingTo: Rcpp
Suggests: RUnit, knitr, rmarkdown, ggplot2, gridExtra, annotatr, LOLA,
        org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene, parallel,
        doParallel, foreach, doRNG, matrixStats, EnvStats, ExtDist,
        gamlss, gamlss.dist
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
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: make
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-09-14 20:50:24 UTC
RemoteUrl: https://github.com/bioc/ramr
RemoteRef: HEAD
RemoteSha: 38eacd491b03d09d194edf7b5dc43ceb48d5d6c6
Packaged: 2026-10-15 08:14:25 UTC; root
Author: Oleksii Nikolaienko [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5910-4934>)
Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko@gmail.com>