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

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 c...

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Autores principales: Hellemans, Jan, Mortier, Geert, De Paepe, Anne, Speleman, Frank, Vandesompele, Jo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852402/
https://www.ncbi.nlm.nih.gov/pubmed/17291332
http://dx.doi.org/10.1186/gb-2007-8-2-r19
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author Hellemans, Jan
Mortier, Geert
De Paepe, Anne
Speleman, Frank
Vandesompele, Jo
author_facet Hellemans, Jan
Mortier, Geert
De Paepe, Anne
Speleman, Frank
Vandesompele, Jo
author_sort Hellemans, Jan
collection PubMed
description 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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spelling pubmed-18524022007-04-18 qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data Hellemans, Jan Mortier, Geert De Paepe, Anne Speleman, Frank Vandesompele, Jo Genome Biol Method 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. BioMed Central 2007 2007-02-09 /pmc/articles/PMC1852402/ /pubmed/17291332 http://dx.doi.org/10.1186/gb-2007-8-2-r19 Text en Copyright © 2007 Hellemans et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Hellemans, Jan
Mortier, Geert
De Paepe, Anne
Speleman, Frank
Vandesompele, Jo
qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
title qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
title_full qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
title_fullStr qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
title_full_unstemmed qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
title_short qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
title_sort qbase relative quantification framework and software for management and automated analysis of real-time quantitative pcr data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852402/
https://www.ncbi.nlm.nih.gov/pubmed/17291332
http://dx.doi.org/10.1186/gb-2007-8-2-r19
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