recipe mqc

qualtiy control tool to assess the mapping quality of a ribosome profiling experiment

Homepage:

https://github.com/Biobix/mQC

License:

GNU General Public License v3.0

Recipe:

/mqc/meta.yaml

package mqc

versions:

1.10-1,  1.10-0,  1.9-0,  1.8-0,  1.7-0,  1.6-0,  1.5-0,  1.4-0,  1.3-0, 

1.10-1,  1.10-0,  1.9-0,  1.8-0,  1.7-0,  1.6-0,  1.5-0,  1.4-0,  1.3-0,  1.2-3,  1.2-2,  1.2-1,  1.2-0

depends matplotlib:

depends numpy:

depends pandas:

depends perl:

5.22.0*

depends perl-app-cpanminus:

depends perl-dbd-sqlite:

depends perl-dbi:

depends perl-parallel-forkmanager:

depends plastid:

0.4.7 py27_0

depends pysam:

0.11*

depends python:

2.7*

depends r-base:

3.4.1*

depends samtools:

depends seaborn:

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 mqc

and update with::

   mamba update mqc

To create a new environment, run:

mamba create --name myenvname mqc

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/mqc:<tag>

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

Download stats

Link to this page

Render an 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/mqc/README.html)