Held in conjunction with Genomics Research
07 May 2013 - 08 May 2013, at 09.00 - 17.30 in Boston, MA, USA
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
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Mikael Kubista, Professor/Founder, TATAA Biocenter AB
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