Characterizing qPCR Assays Using Different Software Tools.

Jonathan Phillips, Gregor Blaha

Published: 2024-07-25 DOI: 10.17504/protocols.io.5qpvok7b7l4o/v1

data analysis

qPCR

Excel

Rstudio

OpenBugs

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Abstract

This protocol aims to assist those new to qPCR data analysis and those who seek to escape the closed-source, proprietary software tied to their qPCR instrumentation.

Here we describe how to assess the quality of qPCR data and qPCR assays using:

  • CFX Maestro 2.3, the software native to Bio-Rad qPCR instruments,

  • Microsoft Excel version 2404,

  • a Bayesian inference Using Gibbs Sampling (BUGS) script presented by PJ Schmidt et al.,

  • the 'LOD calculator' R-script, and

  • the ‘qpcR’ R software package

Attachments

03_computers_20240721.pdf

Steps

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