recipe bioconductor-flowworkspace

This package is designed to facilitate comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the flowCore functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.







biotools: flowworkspace, doi: 10.1186/1471-2105-13-252

package bioconductor-flowworkspace

(downloads) docker_bioconductor-flowworkspace


3.30.2-0, 3.30.1-0, 3.28.2-0, 3.26.2-0, 3.24.4-0

Depends bioconductor-biobase


Depends bioconductor-biocgenerics


Depends bioconductor-cytolib


Depends bioconductor-flowcore


Depends bioconductor-flowviz


Depends bioconductor-graph


Depends bioconductor-ncdfflow


Depends bioconductor-rbgl


Depends bioconductor-rgraphviz


Depends bioconductor-rprotobuflib


Depends libgcc-ng


Depends libstdcxx-ng


Depends r-base


Depends r-bh


Depends r-data.table

Depends r-dplyr

Depends r-gridextra

Depends r-lattice

Depends r-latticeextra

Depends r-matrixstats

Depends r-rcolorbrewer

Depends r-rcpp

Depends r-scales

Depends r-stringr

Depends r-xml



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

conda install bioconductor-flowworkspace

and update with:

conda update bioconductor-flowworkspace

or use the docker container:

docker pull<tag>

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