EasyqpcR: EasyqpcR for low-throughput real-time quantitative PCR data analysis

This package is based on the qBase algorithms published by Hellemans et al. in 2007. The EasyqpcR package allows you to import easily qPCR data files as described in the vignette. Thereafter, you can calculate amplification efficiencies, relative quantities and their standard errors, normalization factors based on the best reference genes choosen (using the SLqPCR package), and then the normalized relative quantities, the NRQs scaled to your control and their standard errors. This package has been created for low-throughput qPCR data analysis.

Package details

AuthorLe Pape Sylvain
Bioconductor views GeneExpression qPCR
MaintainerLe Pape Sylvain <sylvain.le.pape@univ-poitiers.fr>
LicenseGPL (>=2)
Version1.31.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EasyqpcR")

Try the EasyqpcR package in your browser

Any scripts or data that you put into this service are public.

EasyqpcR documentation built on Nov. 8, 2020, 5:36 p.m.