recipe bioconductor-highlyreplicatedrnaseq

Collection of Bulk RNA-Seq Experiments With Many Replicates

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-highlyreplicatedrnaseq/meta.yaml

Gene-level count matrix data for bulk RNA-seq dataset with many replicates. The data are provided as easy to use SummarizedExperiment objects. The source data that is made accessible through this package comes from https://github.com/bartongroup/profDGE48.

package bioconductor-highlyreplicatedrnaseq

(downloads) docker_bioconductor-highlyreplicatedrnaseq

versions:

1.14.0-0,  1.12.0-0,  1.10.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-highlyreplicatedrnaseq

and update with::

   mamba update bioconductor-highlyreplicatedrnaseq

To create a new environment, run:

mamba create --name myenvname bioconductor-highlyreplicatedrnaseq

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-highlyreplicatedrnaseq:<tag>

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