Package: ramr 1.13.0

Oleksii Nikolaienko

ramr: Detection of Rare Aberrantly Methylated Regions in Array and NGS Data

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.

Authors:Oleksii Nikolaienko [aut, cre]

ramr_1.13.0.tar.gz
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ramr_1.13.0.tgz(r-4.4-any)ramr_1.13.0.tgz(r-4.3-any)
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ramr.pdf |ramr.html
ramr/json (API)
NEWS

# Install 'ramr' in R:
install.packages('ramr', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bbcg/ramr/issues

Datasets:
  • ramr.data - Simulated Illumina HumanMethylation 450k data set with 3000 CpGs and 100 samples
  • ramr.samples - Simulated Illumina HumanMethylation 450k data set with 3000 CpGs and 100 samples
  • ramr.tp.nonunique - Simulated Illumina HumanMethylation 450k data set with 3000 CpGs and 100 samples
  • ramr.tp.unique - Simulated Illumina HumanMethylation 450k data set with 3000 CpGs and 100 samples

On BioConductor:ramr-1.13.0(bioc 3.20)ramr-1.12.0(bioc 3.19)

bioconductor-package

5 exports 0.61 score 64 dependencies

Last updated 2 months agofrom:751437be8c

Exports:getAMRgetUniverseplotAMRsimulateAMRsimulateData

Dependencies:askpassBiocGenericsclicodetoolscolorspacecurldigestdoParalleldoRNGEnvStatsExtDistfansifarverforeachGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobanditeratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmimemunsellnlmenloptrnortestnumDerivopenssloptimxpillarpkgconfigplyrpracmaR6RColorBrewerRcppreshape2rlangrngtoolsS4VectorsscalesstringistringrsystibbleUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

The ramr User's Guide

Rendered fromramr.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2021-08-13
Started: 2020-11-04