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GUI's for visualization of flow cytometry data analysis pipelines

Bioconductor version: Release (3.19)

This package is the companion of the `CytoPipeline` package. It provides GUI's (shiny apps) for the visualization of flow cytometry data analysis pipelines that are run with `CytoPipeline`. Two shiny applications are provided, i.e. an interactive flow frame assessment and comparison tool and an interactive scale transformations visualization and adjustment tool.

Author: Philippe Hauchamps [aut, cre] , Laurent Gatto [aut] , Dan Lin [ctb]

Maintainer: Philippe Hauchamps <philippe.hauchamps at>

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


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:

CytoPipelineGUI : visualization of Flow Cytometry Data Analysis Pipelines run with CytoPipeline HTML R Script
Demonstration of the CytoPipeline R package suite functionalities HTML R Script
Reference Manual PDF


biocViews FlowCytometry, GUI, ImmunoOncology, Preprocessing, QualityControl, ShinyApps, Software, Visualization, WorkflowStep
Version 1.2.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License GPL-3
Depends R (>= 4.3), CytoPipeline
Imports shiny, plotly, ggplot2, flowCore
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Suggests testthat (>= 3.0.0), vdiffr, diffviewer, knitr, rmarkdown, BiocStyle, patchwork
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Follow Installation instructions to use this package in your R session.

Source Package CytoPipelineGUI_1.2.0.tar.gz
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macOS Binary (x86_64) CytoPipelineGUI_1.2.0.tgz
macOS Binary (arm64) CytoPipelineGUI_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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