methylationArrayAnalysis

DOI: 10.18129/B9.bioc.methylationArrayAnalysis  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see methylationArrayAnalysis.

A cross-package Bioconductor workflow for analysing methylation array data.

Bioconductor version: 3.17

Methylation in the human genome is known to be associated with development and disease. The Illumina Infinium methylation arrays are by far the most common way to interrogate methylation across the human genome. This Bioconductor workflow uses multiple packages for the analysis of methylation array data. Specifically, we demonstrate the steps involved in a typical differential methylation analysis pipeline including: quality control, filtering, normalization, data exploration and statistical testing for probe-wise differential methylation. We further outline other analyses such as differential methylation of regions, differential variability analysis, estimating cell type composition and gene ontology testing. Finally, we provide some examples of how to visualise methylation array data.

Author: Jovana Maksimovic [aut, cre]

Maintainer: Jovana Maksimovic <jovana.maksimovic at mcri.edu.au>

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("methylationArrayAnalysis")

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("methylationArrayAnalysis")

 

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A cross-package Bioconductor workflow for analysing methylation array data

Details

biocViews	EpigeneticsWorkflow, Workflow
Version	1.24.0
License	Artistic-2.0
Depends	R (>= 3.3.0), knitr, rmarkdown, BiocStyle, limma, minfi, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylation450kmanifest, RColorBrewer, missMethyl, matrixStats, minfiData, Gviz, DMRcate, stringr, FlowSorted.Blood.450k
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Package Archives

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

Source Package	methylationArrayAnalysis_1.24.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/methylationArrayAnalysis
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/methylationArrayAnalysis
Package Short Url	https://bioconductor.org/packages/methylationArrayAnalysis/
Package Downloads Report	Download Stats