recipe r-riborex

Riborex is a R package for identification of differential translation from Ribo-seq data.

Homepage:

https://github.com/smithlabcode/riborex

License:

GPL-3.0

Recipe:

/r-riborex/meta.yaml

package r-riborex

(downloads) docker_r-riborex

versions:

2.4.0-6,  2.4.0-5,  2.4.0-4,  2.4.0-3,  2.4.0-2,  2.4.0-1,  2.4.0-0

depends bioconductor-deseq2:

depends bioconductor-edger:

depends r-base:

>=4.3,<4.4.0a0

depends r-fdrtool:

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 r-riborex

and update with::

   mamba update r-riborex

To create a new environment, run:

mamba create --name myenvname r-riborex

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/r-riborex:<tag>

(see `r-riborex/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/r-riborex/README.html)