recipe bioconductor-splots

Visualization of high-throughput assays in microtitre plate or slide format

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/splots.html

License:

LGPL

Recipe:

/bioconductor-splots/meta.yaml

Links:

biotools: splots, doi: 10.1038/nmeth.3252

This package is here to support legacy usages of it, but it should not be used for new code development. It provides a single function, plotScreen, for visualising data in microtitre plate or slide format. As a better alternative for such functionality, please consider the platetools package on CRAN (https://cran.r-project.org/package=platetools and https://github.com/Swarchal/platetools), or ggplot2 (geom_raster, facet_wrap) as exemplified in the vignette of this package.

package bioconductor-splots

(downloads) docker_bioconductor-splots

versions:
1.72.0-0,  1.68.0-0,  1.66.0-0,  1.64.0-0,  1.60.0-0,  1.58.0-0,  1.56.0-1,  1.56.0-0,  1.54.0-0, 

1.72.0-0,  1.68.0-0,  1.66.0-0,  1.64.0-0,  1.60.0-0,  1.58.0-0,  1.56.0-1,  1.56.0-0,  1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-0,  1.42.0-0

depends r-base:

>=4.4,<4.5.0a0

depends r-rcolorbrewer:

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 bioconductor-splots

and update with::

   mamba update bioconductor-splots

To create a new environment, run:

mamba create --name myenvname bioconductor-splots

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/bioconductor-splots:<tag>

(see `bioconductor-splots/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/bioconductor-splots/README.html)