Quantitative real-time PCR (qPCR) is extremely popular, but this has led to a large selection of qPCR protocols, reagents, cycle steps, analysis methods, and reporting formats. This lack of uniformity and agreement prevents qPCR data accuracy, consistency, and cross-applicability, which is even more made complex by lots of clinical short articles glossing over essential info. Standardization, specifically as qPCR workflows incorporate automation, is for that reason crucial for qPCR data consistency, reproducibility, and dissemination.
Download this ebook from Bio-Rad and The Scientists Creative Services Team to learn more about
Why standardizing qPCR is necessary for speculative reproducibility
Developing a universal qPCR standard for data storage and dissemination
Including automation into qPCR workflows without jeopardizing standardization
An example of an automated qPCR workflow