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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
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Click-qPCR: A Simple Tool for Interactive qPCR Data Analysis.

Azusa Kubota1, Atsushi Tajima1

  • 1Department of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Kanazawa, Japan.

Bio-Protocol
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Click-qPCR is a free, web-based tool that simplifies gene expression analysis using real-time quantitative PCR (qPCR) data. This application enables biologists to easily perform complex statistical analyses and generate publication-quality visualizations without coding skills.

Keywords:
BioinformaticsCopy number variation analysisGene expression analysisReal-time quantitative PCR (qPCR)Shiny web application

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Real-time quantitative PCR (qPCR) is essential for gene expression and DNA copy number analysis.
  • Limited user-friendly software hinders qPCR data analysis for biologists lacking computational expertise.

Purpose of the Study:

  • To develop Click-qPCR, an accessible, web-based Shiny application for streamlined qPCR data analysis.
  • To empower researchers with efficient tools for processing, interpreting, and visualizing qPCR results.

Main Methods:

  • Developed a user-friendly, browser-based Shiny application named Click-qPCR.
  • Integrated ΔCq and ΔΔCq calculations from user-uploaded CSV files.
  • Implemented interactive selection of genes/groups for Welch's t-tests and ANOVA with Dunnett's post-hoc test.

Main Results:

  • Click-qPCR provides intuitive workflows for statistical analysis of qPCR data.
  • Interactive bar plots with mean ± SD and individual data points are generated.
  • Publication-quality visualizations and summary statistics are downloadable.

Conclusions:

  • Click-qPCR facilitates efficient and reproducible qPCR data analysis for researchers of all skill levels.
  • The open-source, freely accessible application promotes transparency and adoption in molecular biology and biomedical research.