- recipe bioconductor-missmethyl
Analysing Illumina HumanMethylation BeadChip Data
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/missMethyl.html
- License:
GPL-2
- Recipe:
- Links:
biotools: missmethyl
Normalisation, testing for differential variability and differential methylation and gene set testing for data from Illumina's Infinium HumanMethylation arrays. 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, as well as taking into account multi-gene associated probes.
- package bioconductor-missmethyl¶
- versions:
1.32.0-0,1.26.0-0,1.24.0-1,1.24.0-0,1.22.0-0,1.20.0-0,1.18.0-1,1.16.0-0,1.14.0-0,1.32.0-0,1.26.0-0,1.24.0-1,1.24.0-0,1.22.0-0,1.20.0-0,1.18.0-1,1.16.0-0,1.14.0-0,1.12.0-0- depends bioconductor-annotationdbi:
>=1.60.0,<1.61.0- depends bioconductor-biobase:
>=2.58.0,<2.59.0- depends bioconductor-biocgenerics:
>=0.44.0,<0.45.0- depends bioconductor-genomicranges:
>=1.50.0,<1.51.0- depends bioconductor-go.db:
>=3.16.0,<3.17.0- depends bioconductor-illuminahumanmethylation450kanno.ilmn12.hg19:
>=0.6.0,<0.7.0- depends bioconductor-illuminahumanmethylation450kmanifest:
>=0.4.0,<0.5.0- depends bioconductor-illuminahumanmethylationepicanno.ilm10b4.hg19:
>=0.6.0,<0.7.0- depends bioconductor-illuminahumanmethylationepicmanifest:
>=0.3.0,<0.4.0- depends bioconductor-iranges:
>=2.32.0,<2.33.0- depends bioconductor-limma:
>=3.54.0,<3.55.0- depends bioconductor-methylumi:
>=2.44.0,<2.45.0- depends bioconductor-minfi:
>=1.44.0,<1.45.0- depends bioconductor-org.hs.eg.db:
>=3.16.0,<3.17.0- depends bioconductor-s4vectors:
>=0.36.0,<0.37.0- depends bioconductor-summarizedexperiment:
>=1.28.0,<1.29.0- depends r-base:
>=4.2,<4.3.0a0- depends r-biasedurn:
- depends r-ruv:
- depends r-statmod:
- depends r-stringr:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-missmethyl and update with:: mamba update bioconductor-missmethyl
To create a new environment, run:
mamba create --name myenvname bioconductor-missmethyl
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-missmethyl:<tag> (see `bioconductor-missmethyl/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-missmethyl/README.html)
