recipe bioconductor-stager

stageR: stage-wise analysis of high throughput gene expression data in R



GNU General Public License version 3



The stageR package allows automated stage-wise analysis of high-throughput gene expression data. The method is published in Genome Biology at

package bioconductor-stager

(downloads) docker_bioconductor-stager



depends bioconductor-summarizedexperiment:


depends r-base:




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-stager

and update with::

   mamba update bioconductor-stager

To create a new environment, run:

mamba create --name myenvname bioconductor-stager

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<tag>

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

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