Improve the Quality of your qPCR Result
Mar 09 2016 Comments 0
Learn how RNA normalization using PIPETMAX® easily improves the quality of qPCR results.
Normalization of RNA concentrations prior to reverse transcription reduces error in qPCR experiments, and is recommended by the MIQE guidelines for qPCR experiments.
PIPETMAX® Normalization Assistant provides a flexible interface that everyone in the lab can use to create fully automated DNA or RNA normalization protocols, effortlessly incorporating normalization into your workflow while maintaining the integrity of your important nucleic acid samples. Adding PIPETMAX® qPCR Assistant further improves the traceability and reliability of your qPCR sample prep by fully automating master mix prep, sample dilutions, and qPCR plate preparation – all at your fingertips on PIPETMAX®.
When integrated into your workflow, these two automated lab assistants provide reliable pipetting and verifiable results while minimising bookkeeping errors and user variation, saving precious time and delivering the meaningful qPCR results your research demands.
Want to learn more about using MIQE guidelines and automation for more reproducible, meaningful qPCR data?
Download the MIQE & qPCR iBook – How to Apply the MIQE Guidelines - A Visual, Interactive and Practical qPCR Guide. This free iBook is available for anyone who is interested in implementing automation and MIQE guidelines to qPCR workflows to improve the reproducibility and reliability of his or her results.
Covering a range of issues associated with this powerful and sensitive molecular biology technique, the guide addresses the increasing need for traceability and compliance with MIQE guidelines in both regulated and non-regulated lab environments.
Advanced automation solutions are discussed with respect to the advantages they bring to molecular diagnostic and basic research laboratories, including improved sample traceability, precise pipetting performance, and both qualitative and quantitative control measures. Topics addressed include:
- Factors that affect verifiability of qPCR results
- Advantages of implementing standardised, quality controlled qPCR methods and practices
- Improvement in sample traceability and data reproducibility with automated workflows
- Shortcomings of current software solutions.
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