• Home
• Bioconductor 3.24
• Software Packages
• flowCyBar (development version)

flowCyBar

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14

Analyze flow cytometric data using gate information

DOI: 10.18129/B9.bioc.flowCyBar

Bioconductor version: Development (3.24)

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")):

Joachim Schumann, Christin Koch, Susanne Günther, Ingo Fetzer, Susann Müller. flowCyBar: Analyze flow cytometric data using gate information. doi:10.18129/B9.bioc.flowCyBar, R package version 1.49.0, https://bioconductor.org/packages/flowCyBar.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
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")

Details

Package Archives

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