prada
Data analysis for cell-based functional assays
Bioconductor version: 2.9
Tools for analysing and navigating data from high-throughput phenotyping experiments based on cellular assays and fluorescent detection (flow cytometry (FACS), high-content screening microscopy).
Author: Florian Hahne <florian.hahne at novartis.com>, Wolfgang Huber <huber at ebi.ac.uk>, Markus Ruschhaupt, Joern Toedling <toedling at ebi.ac.uk>
Maintainer: Florian Hahne <florian.hahne at novartis.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("prada")
To cite this package in a publication, start R and enter:
citation("prada")
Documentation
| R Script | Combining prada output and cellHTS | |
| R Script | Removal of contaminants from FACS data | |
| Reference Manual |
Details
| biocViews | CellBasedAssays, Visualization |
| Depends | R (>= 2.10.0), Biobase, RColorBrewer, grid, methods, rrcov |
| Imports | Biobase, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, utils |
| Suggests | cellHTS, tcltk |
| System Requirements | |
| License | LGPL |
| URL | http://www.dkfz.de/mga/whuber, http://www.dkfz.de/LIFEdb |
| Depends On Me | cellHTS, domainsignatures, facsDorit, RNAither |
| Imports Me | cellHTS2 |
| Suggests Me | |
| Version | 1.30.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
Package Downloads
| Package Source | prada_1.30.0.tar.gz |
| Windows Binary | prada_1.30.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | prada_1.30.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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