Although quantitative PCR (qPCR) is becoming the method of choice for expression profiling of selected genes, accurate and straightforward processing of the raw measurements remains a major hurdle. Here we outline advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track. These models and algorithms are implemented in qBase, a free program for the management and automated analysis of qPCR data. © 2007 Hellemans et al.; licensee BioMed Central Ltd.
CITATION STYLE
Hellemans, J., Mortier, G., De Paepe, A., Speleman, F., & Vandesompele, J. (2008). qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biology, 8(2). https://doi.org/10.1186/gb-2007-8-2-r19
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