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Analyze flow cytometric data using gate information

Bioconductor version: Release (3.19)

A package to analyze flow cytometric data using gate information to follow population/community dynamics

Author: Joachim Schumann <joachim.schumann at>, Christin Koch <christin.koch at>, Susanne Günther <susanne.guenther at>, Ingo Fetzer <ingo.fetzer at>, Susann Müller <susann.mueller at>

Maintainer: Joachim Schumann <joachim.schumann at>

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


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

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


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:

Analyze flow cytometric data using gate information PDF R Script
Reference Manual PDF


biocViews CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, Software, Visualization
Version 1.40.0
In Bioconductor since BioC 2.14 (R-3.1) (10 years)
License GPL-2
Depends R (>= 3.0.0)
Imports gplots, vegan, methods
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Follow Installation instructions to use this package in your R session.

Source Package flowCyBar_1.40.0.tar.gz
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macOS Binary (x86_64) flowCyBar_1.40.0.tgz
macOS Binary (arm64) flowCyBar_1.40.0.tgz
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Source Repository (Developer Access) git clone
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