The QuantiNova LNA PCR and Probe PCR Panels provide a powerful new pathway-focused approach for SYBR® Green or probe-based real-time RT-PCR gene expression analyses. However, no experiment is complete without first processing and interpreting the data. This webinar demonstrates the benefits of using the free and easy-to-use GeneGlobe QuantiNova LNA PCR Data Analysis software to perform this final step. See how the software first interprets the built-in quality control assays and helps determine the best normalization method. From there, the software calculates fold change results and their statistical significance using the standard ΔΔCT method and Student’s t-test. Choose from the several plots available to visualize the results in publication-quality images. Also, use the software to design the best follow-up experiments. Identify the PCR assays needed to perform an even more focused gene expression analysis or to analyze the expression and/or function of miRNAs predicted to regulate the observed differentially expressed genes. Finally, export the results in an Excel file and/or a PDF report suitable for presentation purposes. See how to complete your gene expression analysis experiment with the GeneGlobe QuantiNova LNA PCR Data Analysis software.

 

About the speaker
George J. Quellhorst, Jr., Ph.D, Associate Director of R&D
QIAGEN
Dr. Quellhorst is an Associate Director of Research and Development at QIAGEN, responsible for the development of biological research content for QIAGEN's Assay Technologies, such as its PCR array solutions, as well as the development of system biology software applications. Dr. Quellhorst received his PhD from the Department of Biochemistry and Molecular Biology at the Johns Hopkins Bloomberg School of Public Health. He has been involved in various product management, marketing, and development capacities in the biotechnology industry for 10 years.
Date of recording:Wednesday, July 22, 2020
Duration:50 minutes
Categories
Webinar
Molecular Biology Research
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