recipe mea

Mea was developed as part of the lab class "Bioinformatik von RNA- und Proteinstrukturen (Praktikum, Modul 10-202-2208)". The package predicts maximum expected accuracy (MEA) RNA secondary structures from dot plots of RNAs while correcting the score in dependence of base pair span. Furthermore, it provides tools to evaluate predictions and optimize parameters.

Homepage:

http://www.bioinf.uni-leipzig.de/Software/mea/

License:

GPLv3

Recipe:

/mea/meta.yaml

package mea

(downloads) docker_mea

versions:

0.6.4-8,  0.6.4-7,  0.6.4-6,  0.6.4-5,  0.6.4-4,  0.6.4-3,  0.6.4-2,  0.6.4-1

depends libgcc-ng:

>=12

depends libstdcxx-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 mea

and update with::

   mamba update mea

To create a new environment, run:

mamba create --name myenvname mea

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/mea:<tag>

(see `mea/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/mea/README.html)