epialleleR

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see epialleleR.

Fast, Epiallele-Aware Methylation Caller and Reporter


Bioconductor version: 3.19

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 methylation patterns and assess allele specificity of methylation.

Author: Oleksii Nikolaienko [aut, cre]

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

Citation (from within R, enter citation("epialleleR")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("epialleleR")

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("epialleleR")
epialleleR HTML R Script
values HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DNAMethylation, Epigenetics, MethylSeq, Software
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3.5 years)
License Artistic-2.0
Depends R (>= 4.1)
Imports stats, methods, utils, GenomicRanges, BiocGenerics, GenomeInfoDb, SummarizedExperiment, VariantAnnotation, data.table, Rcpp
System Requirements C++17, GNU make
URL https://github.com/BBCG/epialleleR
Bug Reports https://github.com/BBCG/epialleleR/issues
See More
Suggests RUnit, knitr, rmarkdown, ggplot2, ggstance, gridExtra
Linking To Rcpp, BH, Rhtslib, zlibbioc
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package epialleleR_1.12.0.tar.gz
Windows Binary (x86_64) epialleleR_1.12.0.zip
macOS Binary (x86_64) epialleleR_1.12.0.tgz
macOS Binary (arm64) epialleleR_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epialleleR
Source Repository (Developer Access) git clone [email protected]:packages/epialleleR
Bioc Package Browser https://code.bioconductor.org/browse/epialleleR/
Package Short Url https://bioconductor.org/packages/epialleleR/
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