missMethyl
This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see missMethyl.
Analysing Illumina HumanMethylation BeadChip Data
Bioconductor version: 3.8
Normalisation and testing for differential variability and differential methylation for data from Illumina's Infinium HumanMethylation450 array. The normalisation procedure is subset-quantile within-array normalisation (SWAN), which allows Infinium I and II type probes on a single array to be normalised together. The test for differential variability is based on an empirical Bayes version of Levene's test. Differential methylation testing is performed using RUV, which can adjust for systematic errors of unknown origin in high-dimensional data by using negative control probes. Gene ontology analysis is performed by taking into account the number of probes per gene on the array.
Author: Belinda Phipson and Jovana Maksimovic
Maintainer: Belinda Phipson <belinda.phipson at mcri.edu.au>, Jovana Maksimovic <jovana.maksimovic at mcri.edu.au>, Andrew Lonsdale <andrew.lonsdale at mcri.edu.au>
citation("missMethyl")):
Installation
To install this package, start R (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("missMethyl")
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("missMethyl")| missMethyl: Analysing Illumina HumanMethylation BeadChip Data | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DNAMethylation, DifferentialMethylation, GeneSetEnrichment, GeneticVariability, GenomicVariation, MethylationArray, Normalization, Software |
| Version | 1.16.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (9.5 years) |
| License | GPL-2 |
| Depends | R (>= 2.3.0) |
| Imports | limma, minfi, methylumi, IlluminaHumanMethylation450kmanifest, statmod, ruv, stringr, IlluminaHumanMethylation450kanno.ilmn12.hg19, org.Hs.eg.db, AnnotationDbi, BiasedUrn, GO.db, IlluminaHumanMethylationEPICmanifest, IlluminaHumanMethylationEPICanno.ilm10b4.hg19 |
| System Requirements | |
| URL |
See More
| Suggests | minfiData, BiocStyle, knitr, rmarkdown, edgeR, tweeDEseqCountData |
| Linking To | |
| Enhances | |
| Depends On Me | methylationArrayAnalysis |
| Imports Me | ChAMP, DMRcate, MEAL, methylGSA |
| Suggests Me | RnBeads |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | missMethyl_1.16.0.tar.gz |
| Windows Binary | missMethyl_1.16.0.zip |
| Mac OS X 10.11 (El Capitan) | missMethyl_1.16.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/missMethyl |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/missMethyl |
| Bioc Package Browser | https://code.bioconductor.org/browse/missMethyl/ |
| Package Short Url | https://bioconductor.org/packages/missMethyl/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.8 | Source Archive |