Hellemans J, Mortier GR, De Paepe A, Speleman F, Vandesompele JqBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol 8:R19

Center for Medical Genetics, Ghent University Hospital, De Pintelaan, B-9000 Ghent, Belgium.
Genome biology (Impact Factor: 10.81). 02/2007; 8(2):R19. DOI: 10.1186/gb-2007-8-2-r19
Source: PubMed


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.

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    • "ed as an internal control ( Wang et al . , 2011b ) , and the sample without template was used as a negative control . The Ct values and real - time PCR efficiencies were obtained using LinRegPCR version 2015 . 1 ( Ruijter et al . , 2009 ) , and the relative expression and standard errors for each sample were calculated using Biogazelle qbasePLUS ( Hellemans et al . , 2007 ) ."
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