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qpcrNorm

This is the released version of qpcrNorm; for the devel version, see qpcrNorm.

All versions

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

DOI: 10.18129/B9.bioc.qpcrNorm

Bioconductor version: Release (3.23)

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")):

Jessica Mar. qpcrNorm: Data-driven normalization strategies for high-throughput qPCR data. doi:10.18129/B9.bioc.qpcrNorm, R package version 1.70.0, https://bioconductor.org/packages/qpcrNorm.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")

Details

Package Archives

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