EasyqpcR for low-throughput real-time quantitative PCR data analysis

Bioconductor version: Release (2.11)

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:


To cite this package in a publication, start R and enter:



PDF R Script EasyqpcR
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, Software, qPCR
Version 1.2.0
In Bioconductor since BioC 2.11 (R-2.15)
License GPL (>=2)
Imports plyr, matrixStats, plotrix, gWidgetsRGtk2
Suggests SLqPCR, qpcrNorm, qpcR, knitr
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source EasyqpcR_1.2.0.tar.gz
Windows Binary EasyqpcR_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) EasyqpcR_1.2.0.tgz
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