recipe bioconductor-arrmnormalization

Adaptive Robust Regression normalization for Illumina methylation data

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/ARRmNormalization.html

License:

Artistic-2.0

Recipe:

/bioconductor-arrmnormalization/meta.yaml

Links:

biotools: arrmnormalization, doi: 10.1186/s13059-014-0503-2

Perform the Adaptive Robust Regression method (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.

package bioconductor-arrmnormalization

(downloads) docker_bioconductor-arrmnormalization

versions:
1.42.0-01.40.0-01.38.0-01.34.0-01.32.0-01.30.0-21.30.0-01.28.0-01.26.0-1

1.42.0-01.40.0-01.38.0-01.34.0-01.32.0-01.30.0-21.30.0-01.28.0-01.26.0-11.24.0-11.24.0-01.22.0-01.20.0-01.18.0-0

depends bioconductor-arrmdata:

>=1.38.0,<1.39.0

depends r-base:

>=4.3,<4.4.0a0

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-arrmnormalization

and update with::

   mamba update bioconductor-arrmnormalization

To create a new environment, run:

mamba create --name myenvname bioconductor-arrmnormalization

with myenvname being 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-arrmnormalization:<tag>

(see `bioconductor-arrmnormalization/tags`_ for valid values for ``<tag>``)

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