recipe bioconductor-ggcyto

Visualize Cytometry data with ggplot

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/ggcyto.html

License:

file LICENSE

Recipe:

/bioconductor-ggcyto/meta.yaml

Links:

biotools: ggcyto, doi: 10.1038/nmeth.3252

With the dedicated fortify method implemented for flowSet, ncdfFlowSet and GatingSet classes, both raw and gated flow cytometry data can be plotted directly with ggplot. ggcyto wrapper and some customed layers also make it easy to add gates and population statistics to the plot.

package bioconductor-ggcyto

Versions:

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.2-0, 

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.2-0,  1.10.0-0,  1.8.2-0,  1.6.0-0,  1.4.1-0,  1.4.0-0

Depends:

• bioconductor-flowcore >=2.10.0,<2.11.0

• bioconductor-flowworkspace >=4.10.0,<4.11.0

• bioconductor-ncdfflow >=2.44.0,<2.45.0

• r-base >=4.2,<4.3.0a0

• r-data.table

• r-ggplot2 >=3.3.0

• r-gridextra

• r-hexbin

• r-plyr

• r-rcolorbrewer

• r-rlang

• r-scales

Required By:

• bioconductor-cytoml

• ig-flowtools

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-ggcyto

and update with:

conda update bioconductor-ggcyto

or use the docker container:

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

(see bioconductor-ggcyto/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/bioconductor-ggcyto/README.html)