recipe w4mclstrpeakpics

Visualize W4M sample-cluster peaks - Produce a figure to assess the similarities and differences among peaks in a cluster of samples using XCMS-preprocessed data files as input. MIT Licence allows redistribution.

Homepage:

https://github.com/HegemanLab/w4mclstrpeakpics

License:

MIT

Recipe:

/w4mclstrpeakpics/meta.yaml

package w4mclstrpeakpics

(downloads) docker_w4mclstrpeakpics

versions:

0.98.1-1,  0.98.1-0

depends r-base:

>=3.4.1,<3.4.2.0a0

depends r-batch:

depends r-reshape2:

depends r-sqldf:

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 w4mclstrpeakpics

and update with::

   mamba update w4mclstrpeakpics

To create a new environment, run:

mamba create --name myenvname w4mclstrpeakpics

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/w4mclstrpeakpics:<tag>

(see `w4mclstrpeakpics/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/w4mclstrpeakpics/README.html)