Package: epialleleR 1.20.0

Oleksii Nikolaienko

epialleleR: Fast, Accurate, Epiallele-Aware Methylation Caller and Reporter

Epialleles are specific DNA methylation patterns that are mitotically and/or meiotically inherited. This package calls and reports cytosine methylation as well as frequencies of hypermethylated epialleles at the level of genomic regions or individual cytosines in next-generation sequencing data using binary alignment map (BAM) files as an input. Among other things, this package can also extract and visualise methylation patterns and assess allele specificity of methylation.

Authors:Oleksii Nikolaienko [aut, cre]

epialleleR_1.20.0.tar.gz
epialleleR_1.20.0.zip(r-4.7)epialleleR_1.20.0.zip(r-4.6)epialleleR_1.20.0.zip(r-4.5)
epialleleR_1.20.0.tgz(r-4.6-x86_64)epialleleR_1.20.0.tgz(r-4.6-arm64)epialleleR_1.20.0.tgz(r-4.5-x86_64)epialleleR_1.20.0.tgz(r-4.5-arm64)
epialleleR_1.20.0.tar.gz(r-4.7-arm64)epialleleR_1.20.0.tar.gz(r-4.7-x86_64)epialleleR_1.20.0.tar.gz(r-4.6-arm64)epialleleR_1.20.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
epialleleR/json (API)
NEWS

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

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

Uses libs:
  • curl– Easy-to-use client-side URL transfer library
  • bzip2– High-quality block-sorting file compressor library
  • xz-utils– XZ-format compression library
  • zlib– Compression library
  • c++– GNU Standard C++ Library v3

On BioConductor:epialleleR-1.21.0(bioc 3.24)epialleleR-1.20.0(bioc 3.23)

dnamethylationepigeneticsmethylseqlongreadbioconductorcytosine-methylation-reportdna-methylationepialleleepimutationlong-read-sequencingnext-generation-sequencingsamtoolsshort-read-sequencingcurlbzip2xz-utilszlibcpp

5.86 score 6 stars 6 scripts 389 downloads 13 exports 10 dependencies

Last updated from:ad311c0e1d (on RELEASE_3_23). Checks:12 NOTE, 1 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE212
linux-devel-arm64NOTE271
linux-devel-x86_64NOTE326
source / vignettesOK338
linux-release-arm64NOTE262
linux-release-x86_64NOTE334
macos-release-arm64NOTE176
macos-release-x86_64NOTE518
macos-oldrel-arm64NOTE164
macos-oldrel-x86_64NOTE528
windows-develNOTE345
windows-releaseNOTE337
windows-oldrelNOTE325
wasm-releaseFAIL214

Exports:callMethylationextractPatternsgenerateAmpliconReportgenerateBedEcdfgenerateBedReportgenerateCaptureReportgenerateCytosineReportgenerateMhlReportgenerateVcfReportplotPatternspreprocessBampreprocessGenomesimulateBam

Dependencies:BHBiocGenericsdata.tablegenericsGenomicRangesIRangesRcppRhtslibS4VectorsSeqinfo

The epialleleR User's Guide

Rendered fromepialleleR.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2026-01-25
Started: 2021-04-08

The epialleleR output values

Rendered fromvalues.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2026-01-18
Started: 2023-09-29

Readme and manuals

Help Manual

Help pageTopics
callMethylationcallMethylation
extractPatternsextractPatterns
generateBedEcdfgenerateBedEcdf
generateBedReportgenerateAmpliconReport generateBedReport generateCaptureReport
generateCytosineReportgenerateCytosineReport
generateMhlReportgenerateMhlReport
generateVcfReportgenerateVcfReport
plotPatternsplotPatterns
preprocessBampreprocessBam
preprocessGenomepreprocessGenome
simulateBamsimulateBam