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This is the development version of flowGate; for the stable release version, see flowGate.

Interactive Cytometry Gating in R

Bioconductor version: Development (3.20)

flowGate adds an interactive Shiny app to allow manual GUI-based gating of flow cytometry data in R. Using flowGate, you can draw 1D and 2D span/rectangle gates, quadrant gates, and polygon gates on flow cytometry data by interactively drawing the gates on a plot of your data, rather than by specifying gate coordinates. This package is especially geared toward wet-lab cytometerists looking to take advantage of R for cytometry analysis, without necessarily having a lot of R experience.

Author: Andrew Wight [aut, cre], Harvey Cantor [aut, ldr]

Maintainer: Andrew Wight <andrew.wight10 at>

Citation (from within R, enter citation("flowGate")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

flowGate HTML R Script
Reference Manual PDF


biocViews DataImport, FlowCytometry, ImmunoOncology, Preprocessing, Software, WorkflowStep
Version 1.5.0
In Bioconductor since BioC 3.17 (R-4.3) (1 year)
License MIT + file LICENSE
Depends flowWorkspace(>= 4.0.6), ggcyto(>= 1.16.0), R (>= 4.2)
Imports shiny (>= 1.5.0), BiocManager (>= 1.30.10), flowCore(>= 2.0.1), dplyr (>= 1.0.0), ggplot2 (>= 3.3.2), rlang (>= 0.4.7), purrr, tibble, methods
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Suggests knitr, rmarkdown, stringr, tidyverse, testthat
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Follow Installation instructions to use this package in your R session.

Source Package flowGate_1.5.0.tar.gz
Windows Binary
macOS Binary (x86_64) flowGate_1.5.0.tgz
macOS Binary (arm64) flowGate_1.5.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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