FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification

<p>Abstract</p> <p>Background</p> <p>FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confidence intervals according to Fieller's theorem.</p> <p...

Full description

Bibliographic Details
Main Authors: Gallo Fabio, Pizzamiglio Sara, Verderio Paolo, Ramsden Simon C
Format: Article
Language:English
Published: BMC 2008-01-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/9/13
id doaj-e48e34f0d48340868239524c6552d174
record_format Article
spelling doaj-e48e34f0d48340868239524c6552d1742020-11-25T00:30:19ZengBMCBMC Bioinformatics1471-21052008-01-01911310.1186/1471-2105-9-13FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantificationGallo FabioPizzamiglio SaraVerderio PaoloRamsden Simon C<p>Abstract</p> <p>Background</p> <p>FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confidence intervals according to Fieller's theorem.</p> <p>Results</p> <p>In order to describe the features of FCI four situations were selected from real data collected during an international external quality assessment program for quantitative assays based on real-time PCR. The code generates a diagnostic figure suitable for assessing the quality of the quantification process.</p> <p>Conclusion</p> <p>We have provided a freeware programme using this algorithm specifically designed to increase the information content of the real-time PCR assay.</p> http://www.biomedcentral.com/1471-2105/9/13
collection DOAJ
language English
format Article
sources DOAJ
author Gallo Fabio
Pizzamiglio Sara
Verderio Paolo
Ramsden Simon C
spellingShingle Gallo Fabio
Pizzamiglio Sara
Verderio Paolo
Ramsden Simon C
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
BMC Bioinformatics
author_facet Gallo Fabio
Pizzamiglio Sara
Verderio Paolo
Ramsden Simon C
author_sort Gallo Fabio
title FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
title_short FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
title_full FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
title_fullStr FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
title_full_unstemmed FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
title_sort fci: an r-based algorithm for evaluating uncertainty of absolute real-time pcr quantification
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2008-01-01
description <p>Abstract</p> <p>Background</p> <p>FCI is an R code for analyzing data from real-time PCR experiments. This algorithm estimates standard curve features as well as nucleic acid concentrations and confidence intervals according to Fieller's theorem.</p> <p>Results</p> <p>In order to describe the features of FCI four situations were selected from real data collected during an international external quality assessment program for quantitative assays based on real-time PCR. The code generates a diagnostic figure suitable for assessing the quality of the quantification process.</p> <p>Conclusion</p> <p>We have provided a freeware programme using this algorithm specifically designed to increase the information content of the real-time PCR assay.</p>
url http://www.biomedcentral.com/1471-2105/9/13
work_keys_str_mv AT gallofabio fcianrbasedalgorithmforevaluatinguncertaintyofabsoluterealtimepcrquantification
AT pizzamigliosara fcianrbasedalgorithmforevaluatinguncertaintyofabsoluterealtimepcrquantification
AT verderiopaolo fcianrbasedalgorithmforevaluatinguncertaintyofabsoluterealtimepcrquantification
AT ramsdensimonc fcianrbasedalgorithmforevaluatinguncertaintyofabsoluterealtimepcrquantification
_version_ 1725327306058104832