title: qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data.
abstract: 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.
authors.affiliation: Center for Medical Genetics, Ghent University Hospital, De Pintelaan, B-9000 Ghent, Belgium. Jan.Hellemans@UGent.be
authors.forename: Jan
authors.initials: J
authors.lastname: Hellemans
authors.forename: Geert
authors.initials: G
authors.lastname: Mortier
authors.forename: Anne
authors.initials: A
authors.lastname: De Paepe
authors.forename: Frank
authors.initials: F
authors.lastname: Speleman
authors.forename: Jo
authors.initials: J
authors.lastname: Vandesompele
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods*; D008957:Models, Genetic; D016133:Polymerase Chain Reaction / Q000379:methods*; D012984:Software