qpcrNorm

DOI: 10.18129/B9.bioc.qpcrNorm  

Data-driven normalization strategies for high-throughput qPCR data.

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("qpcrNorm")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("qpcrNorm")

 

PDF	R Script	qPCR Normalization Example
PDF		Reference Manual

Details

biocViews	GeneExpression, Preprocessing, Software
Version	1.56.0
In Bioconductor since	BioC 2.4 (R-2.9) (14 years)
License	LGPL (>= 2)
Depends	methods, Biobase, limma, affy
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	qpcrNorm_1.56.0.tar.gz
Windows Binary	qpcrNorm_1.56.0.zip
macOS Binary (x86_64)	qpcrNorm_1.56.0.tgz
macOS Binary (arm64)	qpcrNorm_1.56.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/qpcrNorm
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/qpcrNorm
Bioc Package Browser	https://code.bioconductor.org/browse/qpcrNorm/
Package Short Url	https://bioconductor.org/packages/qpcrNorm/
Package Downloads Report	Download Stats