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Fast treatment of MACSQuantify FACS data

Bioconductor version: Release (3.19)

Automatically process the metadata of MACSQuantify FACS sorter. It runs multiple modules: i) imports of raw file and graphical selection of duplicates in well plate, ii) computes statistics on data and iii) can compute combination index.

Author: Raphaël Bonnet [aut, cre], Marielle Nebout [dtc],Giulia Biondani [dtc], Jean-François Peyron[aut,ths], Inserm [fnd]

Maintainer: Raphaël Bonnet <raphael.bonnet at>

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


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:

MACSQuantifyR_quick_introduction HTML R Script
MACSQuantifyR_simple_pipeline HTML R Script
MACSQuantifyR_step_by_step_analysis HTML R Script
Reference Manual PDF


biocViews DataImport, DataRepresentation, FlowCytometry, GUI, Normalization, Preprocessing, Software
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License Artistic-2.0
Imports readxl, graphics, tools, utils, grDevices, ggplot2, ggrepel, methods, stats, latticeExtra, lattice, rmarkdown, png, grid, gridExtra, prettydoc, rvest, xml2
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Suggests knitr, testthat, R.utils, spelling
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Follow Installation instructions to use this package in your R session.

Source Package MACSQuantifyR_1.18.0.tar.gz
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macOS Binary (x86_64) MACSQuantifyR_1.18.0.tgz
macOS Binary (arm64) MACSQuantifyR_1.18.0.tgz
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Source Repository (Developer Access) git clone
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