qpcrNorm

DOI: 10.18129/B9.bioc.qpcrNorm    

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

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("qpcrNorm")

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	1.36.0
In Bioconductor since	BioC 2.4 (R-2.9) (9 years)
License	LGPL (>= 2)
Depends	methods, Biobase, limma, affy
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	EasyqpcR
Build Report

Package Archives

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

Source Package	qpcrNorm_1.36.0.tar.gz
Windows Binary	qpcrNorm_1.36.0.zip
Mac OS X 10.11 (El Capitan)	qpcrNorm_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/qpcrNorm
Package Short Url	http://bioconductor.org/packages/qpcrNorm/
Package Downloads Report	Download Stats