
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.-
Data normalization to reference genesNormalization of raw RT-PCR Cq values to multiple reference genes control for small differences in input RNA amount -
Exportable plots, charts and reportsPublication-ready results can be exported as free Excel files or as .png image files -
Easy-to-interpret resultsCalculation of fold change, fold regulation, average ΔCq and 2^–ΔCq based on the well-established Δ ΔCq methods -
Control analysis and data QCTechnical assessment of results quality including gDNA contamination, RT efficiency and PCR performance -
Hassle free, no matter your expertiseThe user-friendly wizard guides you step-by-step through the normalization and analysis of your data
icon-geneglobe
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.

