qpcrNorm

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see qpcrNorm.

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

Bioconductor version: 3.21

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, enter citation("qpcrNorm")):

Installation

To install this package, start R (version "4.5") 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")

qPCR Normalization Example PDF R Script

Reference Manual PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews GeneExpression, Preprocessing, Software

Version 1.66.0

In Bioconductor since BioC 2.4 (R-2.9) (16.5 years)

License LGPL (>= 2)

Depends methods, Biobase, limma, affy

Imports

System Requirements

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Package Archives

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

Source Package qpcrNorm_1.66.0.tar.gz

Windows Binary (x86_64) qpcrNorm_1.66.0.zip

macOS Binary (x86_64) qpcrNorm_1.66.0.tgz

macOS Binary (arm64) qpcrNorm_1.66.0.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/

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