recipe bioconductor-ath1121501frmavecs

Vectors used by frma for microarrays of type ath1121501

Homepage:

https://bioconductor.org/packages/3.20/data/annotation/html/ath1121501frmavecs.html

License:

GPL (>= 2)

Recipe:

/bioconductor-ath1121501frmavecs/meta.yaml

Annotation package for the implementation of the frozen Robust Multiarray Analysis procedure for Arabidopsis thaliana. This package was generated on the basis of frmaTools version 1.52.0.

package bioconductor-ath1121501frmavecs

(downloads) docker_bioconductor-ath1121501frmavecs

versions:

1.0.0-0

depends bioconductor-data-packages:

>=20241103

depends curl:

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-ath1121501frmavecs

and update with::

   mamba update bioconductor-ath1121501frmavecs

To create a new environment, run:

mamba create --name myenvname bioconductor-ath1121501frmavecs

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-ath1121501frmavecs:<tag>

(see `bioconductor-ath1121501frmavecs/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-ath1121501frmavecs/README.html)