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flowWorkspace

Infrastructure for representing and interacting with gated and ungated cytometry data sets.

Bioconductor version: 3.23 · Package version: 4.24.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("flowWorkspace")

Details

MaintainerGreg Finak <greg@ozette.com>, Mike Jiang <mike@ozette.com>
AuthorGreg Finak, Mike Jiang
LicenseAGPL-3.0-only
System RequirementsGNU make, C++17
Downloads rank2278
Source branchRELEASE_3_23
biocViewsDataImport, DataRepresentation, FlowCytometry, ImmunoOncology, Preprocessing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageflowWorkspace_4.24.0.tar.gz
Windows binary (x86_64)flowWorkspace_4.24.0.zip
macOS binary (arm64)flowWorkspace_4.24.0.tgz
macOS binary (x86_64)flowWorkspace_4.24.0.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: Biobase, BiocGenerics, cytolib (>= 2.13.1), XML, ggplot2, graph, graphics, grDevices, methods, stats, stats4, utils, RBGL, tools, Rgraphviz, data.table, dplyr, scales (>= 1.3.0), matrixStats, RProtoBufLib, flowCore (>= 2.1.1), ncdfFlow (>= 2.25.4), DelayedArray, S4Vectors

LinkingTo: cpp11, BH (>= 1.62.0-1), RProtoBufLib (>= 1.99.4), cytolib (>= 2.3.7), Rhdf5lib

Suggests: testthat, flowWorkspaceData (>= 2.23.2), knitr, rmarkdown, ggcyto, parallel, CytoML, openCyto

Reverse dependencies

Depends On Me (3): flowGate, ggcyto, highthroughputassays

Imports Me (5): CytoML, flowStats, openCyto, PeacoQC, staRgate

Suggests Me (4): CATALYST, flowClust, flowCore, FlowSOM

Links To Me (1): CytoML