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.
Download this ebook from Bio-Rad and The Scientist’s Creative Services Team to learn about
- Why standardizing qPCR is necessary for experimental reproducibility
- Establishing a universal qPCR standard for data storage and dissemination
- Incorporating automation into qPCR workflows without compromising standardization
- An example of an automated qPCR workflow