recipe bioconductor-rgenometracksdata

Demonstration Data from rGenomeTracks Package

Homepage:

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

License:

GPL (>= 3)

Recipe:

/bioconductor-rgenometracksdata/meta.yaml

rGenomeTracksData is a collection of data from pyGenomeTracks project. The purpose of this data is testing and demonstration of rGenomeTracks. This package include 14 sample file from different genomic and epigenomic file format.

package bioconductor-rgenometracksdata

(downloads) docker_bioconductor-rgenometracksdata

versions:

0.99.0-4,  0.99.0-3,  0.99.0-2,  0.99.0-1,  0.99.0-0

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

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-rgenometracksdata

and update with::

   mamba update bioconductor-rgenometracksdata

To create a new environment, run:

mamba create --name myenvname bioconductor-rgenometracksdata

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-rgenometracksdata:<tag>

(see `bioconductor-rgenometracksdata/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-rgenometracksdata/README.html)