recipe bioconductor-rrbsdata

An RRBS data set with 12 samples and 10,000 simulated DMRs

Homepage:

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

License:

LGPL-3

Recipe:

/bioconductor-rrbsdata/meta.yaml

RRBS data set comprising 12 samples with simulated differentially methylated regions (DMRs).

package bioconductor-rrbsdata

versions:

1.22.0-0,  1.20.0-0,  1.18.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0, 

1.22.0-0,  1.20.0-0,  1.18.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.2.0-0

depends bioconductor-biseq:

>=1.42.0,<1.43.0

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-rrbsdata

and update with::

   mamba update bioconductor-rrbsdata

To create a new environment, run:

mamba create --name myenvname bioconductor-rrbsdata

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-rrbsdata:<tag>

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

Download stats

Link to this page

Render an 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-rrbsdata/README.html)