recipe conus

CONUS is an implementation of simple stochastic context-free grammars for RNA secondary structure analysis.CONUS developed for exploring the consequences of different single sequence SCFG designs in predicting RNA secondary structure.

Homepage:

http://eddylab.org/software/conus/

License:

file

Recipe:

/conus/meta.yaml

Links:

biotools: CONUS, doi: 10.1186/1471-2105-5-71

package conus

(downloads) docker_conus

versions:

1.0-5,  1.0-4,  1.0-3,  1.0-2,  1.0-1,  1.0-0

depends libgcc-ng:

>=12

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 conus

and update with::

   mamba update conus

To create a new environment, run:

mamba create --name myenvname conus

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/conus:<tag>

(see `conus/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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