prada

Data analysis for cell-based functional assays

Bioconductor version: 2.6

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

PDF R Script Combining prada output and cellHTS
PDF R Script Removal of contaminants from FACS data
PDF   Reference Manual

Details

biocViews CellBasedAssays, Visualization
Depends R (>= 2.1.0), Biobase, RColorBrewer, grid, methods, rrcov
Imports Biobase, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, utils
Suggests cellHTS, rflowcyt, tcltk
System Requirements
License LGPL
URL http://www.dkfz.de/mga/whuber, http://www.dkfz.de/LIFEdb
Depends On Me cellHTS, domainsignatures, facsDorit, rflowcyt, RNAither
Imports Me cellHTS2, rflowcyt
Suggests Me
Version 1.24.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source prada_1.24.0.tar.gz
Windows Binary prada_1.24.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary prada_1.24.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center