recipe bioconductor-rgu34aprobe

Probe sequence data for microarrays of type rgu34a

Homepage:

https://bioconductor.org/packages/3.18/data/annotation/html/rgu34aprobe.html

License:

LGPL

Recipe:

/bioconductor-rgu34aprobe/meta.yaml

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was RG-U34A\_probe\_tab.

package bioconductor-rgu34aprobe

(downloads) docker_bioconductor-rgu34aprobe

versions:
2.18.0-122.18.0-112.18.0-102.18.0-92.18.0-82.18.0-72.18.0-62.18.0-52.18.0-4

2.18.0-122.18.0-112.18.0-102.18.0-92.18.0-82.18.0-72.18.0-62.18.0-52.18.0-42.18.0-32.18.0-22.18.0-0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

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-rgu34aprobe

and update with::

   mamba update bioconductor-rgu34aprobe

To create a new environment, run:

mamba create --name myenvname bioconductor-rgu34aprobe

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-rgu34aprobe:<tag>

(see `bioconductor-rgu34aprobe/tags`_ for valid values for ``<tag>``)

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