recipe bioconductor-r4rna

An R package for RNA visualization and analysis

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/R4RNA.html

License:

GPL-3

Recipe:

/bioconductor-r4rna/meta.yaml

Links:

biotools: r4rna

A package for RNA basepair analysis, including the visualization of basepairs as arc diagrams for easy comparison and annotation of sequence and structure. Arc diagrams can additionally be projected onto multiple sequence alignments to assess basepair conservation and covariation, with numerical methods for computing statistics for each.

package bioconductor-r4rna

(downloads) docker_bioconductor-r4rna

versions:
1.34.0-01.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-0

1.34.0-01.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-01.12.0-11.10.0-01.8.0-01.6.0-01.4.0-0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends r-base:

>=4.4,<4.5.0a0

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-r4rna

and update with::

   mamba update bioconductor-r4rna

To create a new environment, run:

mamba create --name myenvname bioconductor-r4rna

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-r4rna:<tag>

(see `bioconductor-r4rna/tags`_ for valid values for ``<tag>``)

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