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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowCyBar")
In most cases, you don't need to download the package archive at all.
flowCyBar
Analyze flow cytometric data using gate information
Bioconductor version: 2.14
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.günther at ufz.de>, Ingo Fetzer <ingo.fetzer at stockholmresilience.su.se>, Susann Müller <susann.müller 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 and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowCyBar")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowCyBar")
| R Script | Analyze flow cytometric data using gate information | |
| Reference Manual |
Details
| biocViews | CellBasedAssays, Clustering, FlowCytometry, Software, Visualization |
| Version | 1.0.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) |
| License | GPL-2 |
| Depends | R (>= 3.0.0) |
| Imports | gplots, vegan, methods |
| Suggests | |
| System Requirements | |
| URL | http://www.ufz.de/index.php?de=16773 |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | flowCyBar_1.0.0.tar.gz |
| Windows Binary | flowCyBar_1.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | flowCyBar_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | flowCyBar_1.0.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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