This is the development version of qpcrNorm; for the stable release version, see qpcrNorm.
Data-driven normalization strategies for high-throughput qPCR data.Bioconductor version: Development (3.22)
The package contains functions to perform normalization of high-throughput qPCR data. Basic functions for processing raw Ct data plus functions to generate diagnostic plots are also available.
Author: Jessica Mar
Maintainer: Jessica Mar <jess at jimmy.harvard.edu>
Citation (from within R, entercitation("qpcrNorm")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("qpcrNorm")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("qpcrNorm")
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Follow Installation instructions to use this package in your R session.
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