计算生物学
质量(理念)
计算机科学
生物
物理
量子力学
作者
Sean C. Taylor,Katia Nadeau,Meysam Abbasi,Claude Lachance,Marie Nguyen,Joshua Fenrich
标识
DOI:10.1016/j.tibtech.2018.12.002
摘要
Quantitative PCR (qPCR) is one of the most common techniques for quantification of nucleic acid molecules in biological and environmental samples. Although the methodology is perceived to be relatively simple, there are a number of steps and reagents that require optimization and validation to ensure reproducible data that accurately reflect the biological question(s) being posed. This review article describes and illustrates the critical pitfalls and sources of error in qPCR experiments, along with a rigorous, stepwise process to minimize variability, time, and cost in generating reproducible, publication quality data every time. Finally, an approach to make an informed choice between qPCR and digital PCR technologies is described.
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