Li Xiang, Wang Yingmin, Li Jingyu, Mei Xinyue, Liu Yixiang, Huang Huichuan
State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agri-cultural University, Kunming, China.
Key Laboratory for Agro-Biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, China.
Front Genet. 2022 Sep 13;13:1002704. doi: 10.3389/fgene.2022.1002704. eCollection 2022.
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 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 (https://CRAN.R-project.org/package=qPCRtools) or GitHub (https://github.com/lixiang117423/qPCRtools/tree/main/CRAN/qPCRtools).
在生物学研究中,qPCR是一种常用于测量基因表达水平的技术。基因扩增效率的计算是qPCR数据处理中的关键步骤,因为它有助于决定采用哪种方法来计算基因表达水平。在此,我们介绍R包qPCRtools,它能让用户分析基因扩增效率。此外,该软件可以使用三种方法之一来确定基因表达水平:传统的基于曲线的方法、2法和SATQPCR方法。qPCRtools包会生成一个包含每种方法统计数据的表格以及一个带有箱线图或柱状图来说明结果的图形。R包qPCRtools可在CRAN(https://CRAN.R-project.org/package=qPCRtools)或GitHub(https://github.com/lixiang117423/qPCRtools/tree/main/CRAN/qPCRtools)上免费获取。