Experimental design and statistical data analysis for qPCR

Learn how appropriate statistics shall be selected and applied correctly to get the most out of your qPCR data.

Testimonial from previous course participant:

” Very comprehensive, very informative it will change the outline of my whole experiment!

 



There is a 3 days course and a 2 days course available.


 

3 DAYS Experimental design and statistical data analysis for qPCR

Target audience: Medium to Advanced qPCR users

Entrance qualifications: Hands-on qPCR module or similar knowledge

Description: This is a comprehensive course teaching the basics of statistics including the most common methods to analyze univariate as well as multivariate qPCR. The course includes extensive computer based exercises. The course contains:

Day 1- Real-time PCR experimental design and basic data processing

Basic principles of statistics
Experimental design, selecting reference genes
Absolute quantification

Day 2- Statistical analysis of real-time PCR data

Advanced principles of statistics
Statistical tests
Ability to detect a difference
Separate variance contributions
Relative quantification, Comparison of groups

Day 3- Gene expression profiling with real-time PCR

Multiplate measurements
Normalization
Introduction to Expression Profiling
Data preprocessing
Classification methods


2 DAYS Experimental design and statistical data analysis for qPCR

Target audience: Beginners to Medium experienced qPCR users

Entrance qualifications: Hands-on qPCR module or similar knowledge

Description: Learn how appropriate statistics shall be selected and applied correctly to get the most out of your qPCR data. The two-days course covers the most of the same principles as the three-day analysis course but less comprehensive and with less practical exercises. The course contains:

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