GeneGlobe

RT-qPCR data analysis

How do you analyze your qPCR data?

Data analysis isn’t simply the next thing to do after running an experiment. It is the critical workflow step that converts all your hard work into meaningful biological insights. So, even if you’re just starting to plan your experiment, it’s important to think ahead to ensure that the data you generate are useful and insightful.

Discover the GeneGlobe Data Analysis Center
GeneGlobe’s complimentary, web-based data analysis tools include a user-friendly wizard to guide you step-by-step through the normalization and analysis of your qPCR data and generation of publication-ready results figures.
Check out the demo and see for yourself

Watch this short video to see one of our gene expression qPCR analysis tools in action. Or, visit the GeneGlobe Data Analysis Center to see all the analysis modules. You’ll need to log in with your My QIAGEN account credentials or create a free account if you don’t already have one.

See all modules
Complimentary with our qPCR assays and panels

QIAGEN offers an unparalleled selection of predesigned qPCR assays and panels for mRNA/lncRNA and miRNA targets, with the option to design your own using our advanced algorithms.

Multiple reference or housekeeping genes, along with controls for RT and PCR efficiency and gDNA contamination, are included in our cataloged panels to ensure top performance and standardization of gene expression and miRNA profiling results.

Find your assay or panel
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Gain confidence in your analyses

qPCR is ubiquitous, but many researchers are uncertain about analyzing their data. Our online analysis software tools are reliable and simple to use and help everyone – even non-experts – obtain results they can trust.

  • Automatically calculate ∆∆Cq-based fold-change values.
  • Provide the assay or panel catalog number(s), and the results are annotated to the correct gene list.
  • Get tips on interpreting the genomic DNA, reverse transcription efficiency and positive PCR control well data.
  • Perform pair-wise comparisons between groups of experimental replicates or compare all groups side-by-side.
  • Explore the results in tabular format or scatter, volcano, cluster-gram or multi-group plots. 
Ready to start exploring?
Visit the GeneGlobe Data Analysis Center and try it out for yourself. Log in with your My QIAGEN credentials or create your free account.
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