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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowUtils")
In most cases, you don't need to download the package archive at all.
flowUtils
Utilities for flow cytometry
Bioconductor version: 3.0
Provides utilities for flow cytometry data.
Author: N. Gopalakrishnan, F. Hahne, B. Ellis, R. Gentleman, M. Dalphin, N. Le Meur, B. Purcell, J. Spidlen.
Maintainer: Josef Spidlen <jspidlen at bccrc.ca>
Citation (from within R,
enter citation("flowUtils")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowUtils")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowUtils")
| R Script | Gating-ML support in R | |
| Reference Manual |
Details
| biocViews | CellBasedAssays, DecisionTree, FlowCytometry, Infrastructure, Software |
| Version | 1.30.0 |
| In Bioconductor since | BioC 2.2 (R-2.7) |
| License | Artistic-2.0 |
| Depends | R (>= 2.2.0), flowCore(>= 1.31.16) |
| Imports | Biobase, graph, methods, stats, utils, flowViz, corpcor, RUnit, XML |
| LinkingTo | |
| Suggests | gatingMLData |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | gatingMLData |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | flowUtils_1.30.0.tar.gz |
| Windows Binary | flowUtils_1.30.0.zip |
| Mac OS X 10.6 (Snow Leopard) | flowUtils_1.30.0.tgz |
| Mac OS X 10.9 (Mavericks) | flowUtils_1.30.0.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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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