Registration and Call for Abstracts Open for Bioc2024


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

Peak-based selection of high quality cytometry data

Bioconductor version: Development (3.19)

This is a package that includes pre-processing and quality control functions that can remove margin events, compensate and transform the data and that will use PeacoQCSignalStability for quality control. This last function will first detect peaks in each channel of the flowframe. It will remove anomalies based on the IsolationTree function and the MAD outlier detection method. This package can be used for both flow- and mass cytometry data.

Author: Annelies Emmaneel [aut, cre]

Maintainer: Annelies Emmaneel <annelies.emmaneel at>

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


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.


Reference Manual PDF


biocViews FlowCytometry, PeakDetection, Preprocessing, QualityControl, Software
Version 1.13.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL (>=3)
Depends R (>= 4.0)
Imports circlize, ComplexHeatmap, flowCore, flowWorkspace, ggplot2, grDevices, grid, gridExtra, methods, plyr, stats, utils
System Requirements
Bug Reports
See More
Suggests knitr, rmarkdown, BiocStyle
Linking To
Depends On Me
Imports Me CytoPipeline
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats