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

Bioconductor version: Release (3.1)

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. It proposes also a function to aggregate the qPCR biological replicates followed by the application of the algorithm published by Willems et al. (2008) which is a standardization procedure that can be applied to data sets that display high variations between biological replicates. This enables proper statistical analysis to draw relevant conclusions. This package has been created for low-throughput qPCR data analysis.

Author: Le Pape Sylvain

Maintainer: Le Pape Sylvain <sylvain.le.pape at>

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PDF R Script EasyqpcR
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biocViews GeneExpression, Software, qPCR
Version 1.10.2
In Bioconductor since BioC 2.11 (R-2.15) (3 years)
License GPL (>=2)
Imports plyr, matrixStats, plotrix, gWidgetsRGtk2
Suggests SLqPCR, qpcrNorm, qpcR, knitr
Depends On Me
Imports Me
Suggests Me
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