flowCyBar

DOI: 10.18129/B9.bioc.flowCyBar    

Analyze flow cytometric data using gate information

Bioconductor version: Release (3.13)

A package to analyze flow cytometric data using gate information to follow population/community dynamics

Author: Joachim Schumann <joachim.schumann at ufz.de>, Christin Koch <christin.koch at ufz.de>, Susanne Günther <susanne.guenther at ufz.de>, Ingo Fetzer <ingo.fetzer at stockholmresilience.su.se>, Susann Müller <susann.mueller at ufz.de>

Maintainer: Joachim Schumann <joachim.schumann at ufz.de>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("flowCyBar")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("flowCyBar")

 

PDF	R Script	Analyze flow cytometric data using gate information
PDF		Reference Manual

Details

biocViews	CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, Software, Visualization
Version	1.28.0
In Bioconductor since	BioC 2.14 (R-3.1) (7.5 years)
License	GPL-2
Depends	R (>= 3.0.0)
Imports	gplots, vegan, methods
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URL	http://www.ufz.de/index.php?de=16773
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Build Report

Package Archives

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

Source Package	flowCyBar_1.28.0.tar.gz
Windows Binary	flowCyBar_1.28.0.zip
macOS 10.13 (High Sierra)	flowCyBar_1.28.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/flowCyBar
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/flowCyBar
Package Short Url	https://bioconductor.org/packages/flowCyBar/
Package Downloads Report	Download Stats