Quantitative real-time PCR (qPCR) is used in every field that investigates gene expression, and further serves as a diagnostic tool for various clinical and industrial applications, including disease screening and risk assessment, biologics manufacturing, genetic engineering, and forensics.
Researchers must consider numerous factors that affect qPCR performance, especially when comparing qPCR data gathered from runs against different targets, on different sample types, and in different laboratories. Understanding what affects qPCR performance is critical for establishing qPCR data accuracy, reproducibility, and consistency.
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