recipe bioconductor-rheumaticconditionwollbold

Normalized gene expression dataset published by Wollbold et al. [2009] (WOLLBOLD).

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/rheumaticConditionWOLLBOLD.html

License:

Artistic-2.0

Recipe:

/bioconductor-rheumaticconditionwollbold/meta.yaml

Normalized gene expression data from rheumatic diseases from study published by Wollbold et al. in 2009, provided as an eSet.

package bioconductor-rheumaticconditionwollbold

(downloads) docker_bioconductor-rheumaticconditionwollbold

versions:
1.40.0-0,  1.38.0-0,  1.35.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.27.0-0, 

1.40.0-0,  1.38.0-0,  1.35.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.27.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.22.0-0,  1.20.0-0

depends bioconductor-data-packages:

>=20231203

depends curl:

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-rheumaticconditionwollbold

and update with::

   mamba update bioconductor-rheumaticconditionwollbold

To create a new environment, run:

mamba create --name myenvname bioconductor-rheumaticconditionwollbold

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-rheumaticconditionwollbold:<tag>

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

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