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This is the development version of tidyFlowCore; to use it, please install the devel version of Bioconductor.

tidyFlowCore: Bringing flowCore to the tidyverse

Bioconductor version: Development (3.20)

tidyFlowCore bridges the gap between flow cytometry analysis using the flowCore Bioconductor package and the tidy data principles advocated by the tidyverse. It provides a suite of dplyr-, ggplot2-, and tidyr-like verbs specifically designed for working with flowFrame and flowSet objects as if they were tibbles; however, your data remain flowCore data structures under this layer of abstraction. tidyFlowCore enables intuitive and streamlined analysis workflows that can leverage both the Bioconductor and tidyverse ecosystems for cytometry data.

Author: Timothy Keyes [cre] , Kara Davis [rth, own], Garry Nolan [rth, own]

Maintainer: Timothy Keyes <tkeyes at>

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


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:

tidyFlowCore HTML R Script
Reference Manual PDF


biocViews FlowCytometry, Infrastructure, SingleCell, Software
Version 0.99.2
In Bioconductor since BioC 3.20 (R-4.4)
License MIT + file LICENSE
Depends R (>= 4.3)
Imports Biobase, dplyr, flowCore, ggplot2, methods, purrr, rlang, stats, stringr, tibble, tidyr
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Suggests BiocStyle, HDCytoData, knitr, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0)
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Follow Installation instructions to use this package in your R session.

Source Package tidyFlowCore_0.99.2.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) tidyFlowCore_0.99.2.tgz
macOS Binary (arm64) tidyFlowCore_0.99.2.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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