To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowQB")
In most cases, you don't need to download the package archive at all.
flowQB
Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CVinstrinsic calculations.
Bioconductor version: 3.0
flowQB is a fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.
Author: Faysal El Khettabi
Maintainer: Faysal El Khettabi <faysal.el.khettabi at gmail.com>
Citation (from within R,
enter citation("flowQB")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("flowQB")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowQB")
| R Script | flowQB package | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | FlowCytometry, Software |
| Version | 1.10.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) |
| License | Artistic-2.0 |
| Depends | |
| Imports | Biobase, graphics, methods, flowCore, stats, MASS |
| LinkingTo | |
| Suggests | MASS, flowCore |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | flowQB_1.10.0.tar.gz |
| Windows Binary | flowQB_1.10.0.zip |
| Mac OS X 10.6 (Snow Leopard) | flowQB_1.10.0.tgz |
| Mac OS X 10.9 (Mavericks) | flowQB_1.10.0.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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