Bioconductor version: Release (2.12)
This package is based on the qBase algorithms published by Hellemans et al. in 2007. The EasyqpcR package allows you to import easily qPCR data files as described in the vignette. Thereafter, you can calculate amplification efficiencies, relative quantities and their standard errors, normalization factors based on the best reference genes choosen (using the SLqPCR package), and then the normalized relative quantities, the NRQs scaled to your control and their standard errors. This package has been created for low-throughput qPCR data analysis.
Author: Le Pape Sylvain
Maintainer: Le Pape Sylvain <sylvain.le.pape at univ-poitiers.fr>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("EasyqpcR")
To cite this package in a publication, start R and enter:
citation("EasyqpcR")
R Script | EasyqpcR | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Software, qPCR |
Version | 1.2.0 |
In Bioconductor since | BioC 2.11 (R-2.16) |
License | GPL (>=2) |
Depends | |
Imports | plyr, matrixStats, plotrix, gWidgetsRGtk2 |
Suggests | SLqPCR, qpcrNorm, qpcR, knitr |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | EasyqpcR_1.2.0.tar.gz |
Windows Binary | EasyqpcR_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | EasyqpcR_1.2.0.tgz |
Package Downloads Report | Download Stats |
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