Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Base relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. | Open Access 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 and Jo Vandesompele Address Center for Medical Genetics Ghent University Hospital De Pintelaan B-9000 Ghent Belgium. Correspondence Jo Vandesompele. Email Published 9 February 2007 Genome Biology 2007 8 R19 doi gb-2007-8-2-rl9 The electronic version of this article is the complete one and can be found online at http 2007 8 2 R19 Received 31 August 2006 Revised 7 December 2006 Accepted 9 February 2007 2007 Hellemans et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. Background Since its introduction more than 10 years ago 1 quantitative PCR qPCR has become the standard method for quantification of nucleic acid sequences. The ease of use and high sensitivity specificity and accuracy has resulted in a rapidly expanding number of applications with increasing throughput of samples to be analyzed. The software programs provided along with the various qPCR instruments allow for straightforward extraction of quantification cycle values from the recorded fluorescence measurements and at .
