The reliance on relative quantification leaves qPCR workflows vulnerable to variability. From the labor-intensive preparation of standard curves to the variance of amplification efficiency, these factors introduce inconsistencies that can compromise accuracy and reproducibility. This is especially problematic when studying rare transcripts, where low signal can be obscured by background noise.
Droplet digital PCR (ddPCR) bypasses these limitations using droplet partitioning and absolute quantification. This eBook provides the evaluation framework to confidently transition your gene expression assays to ddPCR, eliminating the need for standard curves and improving experimental reproducibility.
Download this eBook to explore:
- Tips for overcoming common pain points of qPCR
- Considerations for transitioning from qPCR to ddPCR
- Comparison between one-step and two-step RT-ddPCR workflows
- Standardized guidelines for analyzing and reporting gene expression data