Quantitative real-time PCR (qPCR) is highly popular, but this has led to a wide array of qPCR protocols, reagents, cycle steps, analysis methods, and reporting formats. This lack of uniformity and consensus hinders qPCR data accuracy, consistency, and cross-applicability, which is further complicated by many scientific articles glossing over key information.
Standardization, especially as qPCR workflows incorporate automation, is therefore vital for qPCR data consistency, reproducibility, and dissemination.
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