To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("EasyqpcR")

In most cases, you don't need to download the package archive at all.

EasyqpcR

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

Bioconductor version: Release (3.0)

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>

Citation (from within R, enter citation("EasyqpcR")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("EasyqpcR")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EasyqpcR")

 

PDF R Script EasyqpcR
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, Software, qPCR
Version 1.8.0
In Bioconductor since BioC 2.11 (R-2.15)
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 Archives

Follow Installation instructions to use this package in your R session.

Package Source EasyqpcR_1.8.0.tar.gz
Windows Binary EasyqpcR_1.8.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EasyqpcR_1.8.0.tgz
Mac OS X 10.9 (Mavericks) EasyqpcR_1.8.0.tgz
Browse/checkout source (username/password: readonly)
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