qpcrNorm
Data-driven normalization strategies for high-throughput qPCR data.
Bioconductor version: 3.24 · Package version: 1.71.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("qpcrNorm")Details
| Maintainer | Jessica Mar <jess@jimmy.harvard.edu> |
| Author | Jessica Mar |
| License | LGPL (>= 2) |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneExpression, Preprocessing, Software |
| Package Short Url | https://bioconductor.org/packages/qpcrNorm/ |
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 1.71.0, https://bioconductor.org/packages/qpcrNorm.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | qpcrNorm_1.71.0.tar.gz |
| Windows binary (x86_64) | qpcrNorm_1.71.0.zip |
| macOS binary (arm64) | qpcrNorm_1.71.0.tgz |
| macOS binary (x86_64) | qpcrNorm_1.71.0.tgz |