shinyMethyl

DOI: 10.18129/B9.bioc.shinyMethyl    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see shinyMethyl.

Interactive visualization for Illumina methylation arrays

Bioconductor version: 3.13

Interactive tool for visualizing Illumina methylation array data. Both the 450k and EPIC array are supported.

Author: Jean-Philippe Fortin [cre, aut], Kasper Daniel Hansen [aut]

Maintainer: Jean-Philippe Fortin <jfortin at jhsph.edu>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("shinyMethyl")

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("shinyMethyl")

 

PDF	R Script	shinyMethyl: interactive visualization of Illumina 450K methylation arrays
PDF		Reference Manual
Text		NEWS

Details

biocViews	DNAMethylation, Microarray, Preprocessing, QualityControl, Software, TwoChannel
Version	1.28.0
In Bioconductor since	BioC 3.0 (R-3.1) (7 years)
License	Artistic-2.0
Depends	methods, BiocGenerics(>= 0.3.2), shiny (>= 0.13.2), minfi(>= 1.18.2), IlluminaHumanMethylation450kmanifest, matrixStats, R (>= 3.0.0)
Imports	RColorBrewer
LinkingTo
Suggests	shinyMethylData, minfiData, BiocStyle, RUnit, digest, knitr
SystemRequirements
Enhances
URL
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	shinyMethyl_1.28.0.tar.gz
Windows Binary	shinyMethyl_1.28.0.zip
macOS 10.13 (High Sierra)	shinyMethyl_1.28.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/shinyMethyl
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/shinyMethyl
Package Short Url	https://bioconductor.org/packages/shinyMethyl/
Package Downloads Report	Download Stats