epidecodeR

DOI: 10.18129/B9.bioc.epidecodeR  

epidecodeR: a functional exploration tool for epigenetic and epitranscriptomic regulation

Bioconductor version: Release (3.16)

epidecodeR is a package capable of analysing impact of degree of DNA/RNA epigenetic chemical modifications on dysregulation of genes or proteins. This package integrates chemical modification data generated from a host of epigenomic or epitranscriptomic techniques such as ChIP-seq, ATAC-seq, m6A-seq, etc. and dysregulated gene lists in the form of differential gene expression, ribosome occupancy or differential protein translation and identify impact of dysregulation of genes caused due to varying degrees of chemical modifications associated with the genes. epidecodeR generates cumulative distribution function (CDF) plots showing shifts in trend of overall log2FC between genes divided into groups based on the degree of modification associated with the genes. The tool also tests for significance of difference in log2FC between groups of genes.

Author: Kandarp Joshi [aut, cre], Dan Ohtan Wang [aut]

Maintainer: Kandarp Joshi <kandarpbioinfo at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("epidecodeR")

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("epidecodeR")

 

HTML	R Script	epidecodeR: a functional exploration tool for epigenetic and epitranscriptomic regulation
PDF		Reference Manual

Details

biocViews	ChipOnChip, DifferentialExpression, Epigenetics, Epitranscriptomics, FunctionalGenomics, FunctionalPrediction, GeneExpression, GeneRegulation, HistoneModification, Software, SystemsBiology, Transcription, Transcriptomics
Version	1.6.0
In Bioconductor since	BioC 3.13 (R-4.1) (2 years)
License	GPL-3
Depends	R (>= 3.1.0)
Imports	EnvStats, ggplot2, rtracklayer, GenomicRanges, IRanges, rstatix, ggpubr, methods, stats, utils, dplyr
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL	https://github.com/kandarpRJ/epidecodeR https://epidecoder.shinyapps.io/shinyapp
BugReports	https://github.com/kandarpRJ/epidecodeR/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	epidecodeR_1.6.0.tar.gz
Windows Binary	epidecodeR_1.6.0.zip
macOS Binary (x86_64)	epidecodeR_1.6.0.tgz
macOS Binary (arm64)	epidecodeR_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/epidecodeR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/epidecodeR
Bioc Package Browser	https://code.bioconductor.org/browse/epidecodeR/
Package Short Url	https://bioconductor.org/packages/epidecodeR/
Package Downloads Report	Download Stats