recipe nucleosome_prediction

This tool allows you to submit a genomic sequence and to recieve a prediction of the nucleosomes positions on it,

Homepage:

https://genie.weizmann.ac.il/software/nucleo_prediction.html

License:

LGPLv2

Recipe:

/nucleosome_prediction/meta.yaml

package nucleosome_prediction

(downloads) docker_nucleosome_prediction

versions:

3.0-6,  3.0-5,  3.0-4,  3.0-3,  3.0-2,  3.0-1,  3.0-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends perl:

>=5.32.1,<5.33.0a0 *_perl5

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 nucleosome_prediction

and update with::

   mamba update nucleosome_prediction

To create a new environment, run:

mamba create --name myenvname nucleosome_prediction

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/nucleosome_prediction:<tag>

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

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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/nucleosome_prediction/README.html)