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3 for 2 Offer SELECTBIO Conferences Circulating Biomarkers 2021Extracellular Vesicles (EV)-Exosomes: Diagnostics, Delivery and TherapeuticsInnovations in Microfluidics 20213D-Bioprinting 2021Single Cell Analysis Summit 2021ePoster Award Prize

Statistical Analysis of Real-time PCR Data/Gene Expression Profiling With Real-time PCR

Held in conjunction with Advances in qPCR and dPCR

12 May 2014 - 13 May 2014, at 09.00 - 17.30 in Barcelona, Spain


Course Overview

Learn how appropriate statistics shall be selected and applied correctly to get the most out of your qPCR data. This two-days course teaches statistical principles and tools that are used in qPCR data analysis. The course includes practical computer based exercises to help you choose the correct analysis as well as designing your experiment in the best way.

Day 1- Statistical Analysis of Real-time PCR Data

- Basic principles of statistics
- Advanced principles of statistics
- Statistical tests
- Ability to detect a difference

Day 2- Gene Expression Profiling With Real-time PCR

- Multiplate measurements
- Standard curves and absolute quantification
- Experimental design, Selecting reference genes
- Relative quantification, Comparison of groups
- Expression profiling

Mikael Kubista

Mikael Kubista, Professor/Founder, TATAA Biocenter AB