recipe rjchallis-assembly-stats

Assembly metric visualisations to facilitate rapid assessment and comparison of assembly quality.

Homepage:

https://github.com/rjchallis/assembly-stats

License:

MIT / MIT

Recipe:

/rjchallis-assembly-stats/meta.yaml

Links:

doi: 10.5281/zenodo.322347

package rjchallis-assembly-stats

(downloads) docker_rjchallis-assembly-stats

versions:

17.02-0

depends perl:

depends perl-json:

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 rjchallis-assembly-stats

and update with::

   mamba update rjchallis-assembly-stats

To create a new environment, run:

mamba create --name myenvname rjchallis-assembly-stats

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/rjchallis-assembly-stats:<tag>

(see `rjchallis-assembly-stats/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/rjchallis-assembly-stats/README.html)