圣淘沙名胜世界(新加坡)

    Characterizing qPCR Assays Using Different Software Tools.

    Jonathan Phillips, Gregor Blaha

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