State-of-the-Art Normalization of RT-qPCR Data

Setting up a qPCR experiment is so simple that it actually becomes dangerous. Without appropriate controls and data normalization, results can be misleading at best. During this webinar, Dr Vandesompele addresses selection and validation of suitable reference genes as well as the use of the global mean normalization method to obtain accurate data. He also describes tools for data generation and analysis. 

About the Speaker: 

Dr Jo Vandesompele is a professor of functional genomics and applied bioinformatics at Ghent University. He has written numerous ground-breaking publications on normalization of gene expression and real-time PCR data analysis, and co-authored the MIQE guidelines for publication of qPCR experiments. With Dr Jan Hellemans, Dr Vandesompele cofounded Biogazelle, a real-time PCR company, built upon a decade of experience in real-time PCR experiment design, assay development, and data-analysis (