DOI: 10.18129/B9.bioc.EasyqpcR    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see EasyqpcR.

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

Bioconductor version: 3.12

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>

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


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if (!requireNamespace("BiocManager", quietly = TRUE))


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PDF R Script EasyqpcR
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, Software, qPCR
Version 1.31.0
In Bioconductor since BioC 2.11 (R-2.15) (8.5 years)
License GPL (>=2)
Imports plyr, matrixStats, plotrix, gWidgetsRGtk2
Suggests SLqPCR, qpcrNorm, qpcR, knitr
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package EasyqpcR_1.31.0.tar.gz
Windows Binary EasyqpcR_1.31.0.zip
macOS 10.13 (High Sierra) EasyqpcR_1.31.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EasyqpcR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EasyqpcR
Package Short Url https://bioconductor.org/packages/EasyqpcR/
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