flowCHIC

DOI: 10.18129/B9.bioc.flowCHIC    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see flowCHIC.

Analyze flow cytometric data using histogram information

Bioconductor version: 3.13

A package to analyze flow cytometric data of complex microbial communities based on histogram images

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

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

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

Installation

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

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

BiocManager::install("flowCHIC")

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("flowCHIC")

 

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

Details

biocViews CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, Software, Visualization
Version 1.26.0
In Bioconductor since BioC 3.0 (R-3.1) (7 years)
License GPL-2
Depends R (>= 3.1.0)
Imports methods, flowCore, EBImage, vegan, hexbin, ggplot2, grid
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.ufz.de/index.php?en=16773
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package flowCHIC_1.26.0.tar.gz
Windows Binary flowCHIC_1.26.0.zip
macOS 10.13 (High Sierra) flowCHIC_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/flowCHIC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowCHIC
Package Short Url https://bioconductor.org/packages/flowCHIC/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: