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

Automatic and interactive quality control for flow cytometry data

Bioconductor version: Development (3.19)

The package is able to perform an automatic or interactive quality control on FCS data acquired using flow cytometry instruments. By evaluating three different properties: 1) flow rate, 2) signal acquisition, 3) dynamic range, the quality control enables the detection and removal of anomalies.

Author: Gianni Monaco, Hao Chen

Maintainer: Gianni Monaco <mongianni1 at gmail.com>

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


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:

Automatic and GUI methods to do quality control on Flow cytometry Data HTML R Script
Reference Manual PDF


biocViews BiomedicalInformatics, FlowCytometry, ImmunoOncology, QualityControl, Software
Version 1.33.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>= 2)
Depends R (>= 3.6)
Imports ggplot2, flowCore, plyr, changepoint, knitr, reshape2, RColorBrewer, scales, methods, graphics, stats, utils, rmarkdown
System Requirements
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Suggests testthat, shiny, BiocStyle
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Imports Me CytoPipeline
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package flowAI_1.33.0.tar.gz
Windows Binary flowAI_1.33.0.zip
macOS Binary (x86_64) flowAI_1.33.0.tgz
macOS Binary (arm64) flowAI_1.33.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/flowAI
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowAI
Bioc Package Browser https://code.bioconductor.org/browse/flowAI/
Package Short Url https://bioconductor.org/packages/flowAI/
Package Downloads Report Download Stats