qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

Jan Hellemans; Geert Mortier; Anne De Paepe; Frank Speleman; Jo Vandesompele

doi:10.1186/gb-2007-8-2-r19

qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

Genome Biol. 2007;8(2):R19. doi: 10.1186/gb-2007-8-2-r19.

Authors

Jan Hellemans¹, Geert Mortier, Anne De Paepe, Frank Speleman, Jo Vandesompele

Affiliation

¹ Center for Medical Genetics, Ghent University Hospital, De Pintelaan, B-9000 Ghent, Belgium. Jan.Hellemans@UGent.be

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Gene Expression Profiling / methods*
Models, Genetic*
Polymerase Chain Reaction / methods*
Software*