To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("flowCHIC")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.0
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("flowCHIC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowCHIC")
R Script | Analyze flow cytometric data using histogram information | |
Reference Manual |
biocViews | CellBasedAssays, Clustering, FlowCytometry, Software, Visualization |
Version | 1.0.2 |
In Bioconductor since | BioC 3.0 (R-3.1) |
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 | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | flowCHIC_1.0.2.tar.gz |
Windows Binary | flowCHIC_1.0.2.zip |
Mac OS X 10.6 (Snow Leopard) | flowCHIC_1.0.2.tgz |
Mac OS X 10.9 (Mavericks) | flowCHIC_1.0.2.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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