To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("EasyqpcR")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see EasyqpcR.
Bioconductor version: 3.4
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("EasyqpcR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EasyqpcR")
R Script | EasyqpcR | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Software, qPCR |
Version | 1.16.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (4.5 years) |
License | GPL (>=2) |
Depends | |
Imports | plyr, matrixStats, plotrix, gWidgetsRGtk2 |
LinkingTo | |
Suggests | SLqPCR, qpcrNorm, qpcR, knitr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | EasyqpcR_1.16.0.tar.gz |
Windows Binary | EasyqpcR_1.16.0.zip |
Mac OS X 10.9 (Mavericks) | EasyqpcR_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/EasyqpcR/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/EasyqpcR/ |
Package Downloads Report | Download Stats |
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