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Bioconductor - ramr

ramr

This is the released version of ramr; for the devel version, see ramr.

Detection of Rare Aberrantly Methylated Regions in Array and NGS Data

Bioconductor version: Release (3.21)

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.

Author: Oleksii Nikolaienko [aut, cre] ORCID: 0000-0002-5910-4934

Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko at gmail.com>

Citation (from within R, enter citation("ramr")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ramr")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ramr")
Details biocViews DNAMethylation, DifferentialMethylation, Epigenetics, MethylSeq, MethylationArray, Software Version 1.16.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License Artistic-2.0 Depends R (>= 4.1) Imports methods, data.table, GenomeInfoDb, GenomicRanges, IRanges, BiocGenerics, S4Vectors, Rcpp System Requirements C++20, GNU make URL https://github.com/BBCG/ramr Bug Reports https://github.com/BBCG/ramr/issues See More 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 Linking To Rcpp Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.


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