recipe bioconductor-bigpint

Big multivariate data plotted interactively

Homepage

https://bioconductor.org/packages/3.13/bioc/html/bigPint.html

License

GPL-3

Recipe

/bioconductor-bigpint/meta.yaml

Methods for visualizing large multivariate datasets using static and interactive scatterplot matrices, parallel coordinate plots, volcano plots, and litre plots. Includes examples for visualizing RNA-sequencing datasets and differentially expressed genes.

package bioconductor-bigpint

Versions

1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

Depends

• bioconductor-delayedarray >=0.18.0,<0.19.0

• bioconductor-summarizedexperiment >=1.22.0,<1.23.0

• r-base >=4.1,<4.2.0a0

• r-dplyr >=0.7.2

• r-ggally >=1.3.2

• r-ggplot2 >=2.2.1

• r-gridextra >=2.3

• r-hexbin >=1.27.1

• r-hmisc >=4.0.3

• r-htmlwidgets >=0.9

• r-plotly >=4.7.1

• r-plyr >=1.8.4

• r-rcolorbrewer >=1.1.2

• r-reshape >=0.8.7

• r-shiny >=1.0.5

• r-shinycssloaders >=0.2.0

• r-shinydashboard >=0.6.1

• r-stringr >=1.3.1

• r-tidyr >=0.7.0

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-bigpint

and update with:

conda update bioconductor-bigpint

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-bigpint:<tag>

(see bioconductor-bigpint/tags for valid values for <tag>)

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/bioconductor-bigpint/README.html)