AUTHOR=Li Xiang , Wang Yingmin , Li Jingyu , Mei Xinyue , Liu Yixiang , Huang Huichuan 

TITLE=qPCRtools: An R package for qPCR data processing and visualization

JOURNAL=Frontiers in Genetics

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.1002704

DOI=10.3389/fgene.2022.1002704

ISSN=1664-8021

ABSTRACT=<p>In biological research, qPCR is a technique that is frequently used to measure gene expression levels. The calculation of gene amplification efficiency is a critical step in the processing of qPCR data since it helps to decide which method to employ to compute gene expression levels. Here, we introduce the R package qPCRtools, which enables users to analyze the efficiency of gene amplification. Additionally, this software can determine gene expression levels using one of three approaches: the conventional curve-based method, the 2<sup>−ΔΔCt</sup> method, and the SATQPCR method. The qPCRtools package produces a table with the statistical data of each method as well as a figure with a box or bar plot illustrating the results. The R package qPCRtools is freely available at CRAN (<ext-link ext-link-type="uri" xlink:href="https://cran.r-project.org/package=qPCRtools" xmlns:xlink="http://www.w3.org/1999/xlink">https://CRAN.R-project.org/package=qPCRtools</ext-link>) or GitHub (<ext-link ext-link-type="uri" xlink:href="https://github.com/lixiang117423/qPCRtools/tree/main/CRAN/qPCRtools" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/lixiang117423/qPCRtools/tree/main/CRAN/qPCRtools</ext-link>).</p>