This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see EasyqpcR.
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")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("EasyqpcR")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.31.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (8.5 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 | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
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/ |
Package Downloads Report | Download Stats |
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