Litcius/Paper detail

qPCRtools: An R package for qPCR data processing and visualization

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

2022Frontiers in Genetics30 citationsDOIOpen Access PDF

Abstract

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 −ΔΔCt 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 ).

Topics & Concepts

R packageComputer sciencePlot (graphics)Table (database)Data miningMeasure (data warehouse)VisualizationSoftware packageExpression (computer science)SoftwareComputational biologyComputational scienceProgramming languageStatisticsBiologyMathematicsMolecular Biology Techniques and ApplicationsRNA Research and SplicingGene expression and cancer classification
qPCRtools: An R package for qPCR data processing and visualization | Litcius