recipe bioconductor-ggcyto

Visualize Cytometry data with ggplot

Homepage

https://bioconductor.org/packages/3.12/bioc/html/ggcyto.html

License

Artistic-2.0

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

1.18.0-0,  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, 

1.18.0-0,  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 >=2.2.0,<2.3.0

• bioconductor-flowworkspace >=4.2.0,<4.3.0

• bioconductor-ncdfflow >=2.36.0,<2.37.0

• r-base >=4.0,<4.1.0a0

• r-data.table

• r-ggplot2 >=3.3.0

• r-gridextra

• r-hexbin

• r-plyr

• r-rcolorbrewer

• r-rlang

• r-scales

Required By

• ig-flowtools

• bioconductor-cytoml

Installation

With an activated Bioconda channel (see 2. 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>)

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)