recipe bioconductor-rbm

RBM: a R package for microarray and RNA-Seq data analysis

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-rbm/meta.yaml

Links:

biotools: rbm, doi: 10.1038/nmeth.3252

Use A Resampling-Based Empirical Bayes Approach to Assess Differential Expression in Two-Color Microarrays and RNA-Seq data sets.

package bioconductor-rbm

(downloads) docker_bioconductor-rbm

versions:
1.38.0-01.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-0

1.38.0-01.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-01.8.0-0

depends bioconductor-limma:

>=3.62.0,<3.63.0

depends bioconductor-marray:

>=1.84.0,<1.85.0

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:

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-rbm

and update with::

   mamba update bioconductor-rbm

To create a new environment, run:

mamba create --name myenvname bioconductor-rbm

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-rbm:<tag>

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

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