Article Download
Choose Your Next Gene Expression Method with Confidence
Gene expression researchers have a number of powerful methods at their fingertips for measuring RNA. But each of these methods must be carefully evaluated to determine whether it will facilitate scientific discovery or just be a headache.
Read this article to learn:
- Why reproducibility, specificity, sensitivity, time, and ease of analysis are the most important factors to consider when selecting a gene expression method
- Which research contexts are appropriate for microarrays, PCR, and RNA-Seq
- Simple steps you can take to choose the best gene expression method for your research pipeline
Download the Article
Share a little information with us to access the entire article now.
Content you'll also find interesting
Recommended Features
-
Image
Your Guide to MIQE and dMIQE
In this article, we summarize MIQE and dMIQE guidelines and explore implications and benefits for standardizing qPCR and ddPCR™ experiments.
-
Image
Balancing qPCR and ddPCR™ in Therapeutic Development
Gene expression analysis is a critical part of the drug discovery and development process. Here's how RT-qPCR and ddPCR can be used to support various stages across the drug development pipeline, from discovery to manufacture.
-
Image
Benefits of Complementary Methods in Gene Expression Profiling
Drug development isn't a one-size-fits-all process, so the tools you use in your research shouldn't be either. Combining multiple powerful gene expression analysis techniques can bring your drug development efforts to the next level.
