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Bioconductor - flowCyBar (development version)

flowCyBar

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

Analyze flow cytometric data using gate information

Bioconductor version: Development (3.22)

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>

Citation (from within R, enter citation("flowCyBar")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Analyze flow cytometric data using gate information PDF R Script Reference Manual PDF Details See More Suggests Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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

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