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

BACKGROUND: 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. RESULTS: In order to describe the features of FCI four situations were...

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Detalles Bibliográficos
Autores principales: Verderio, Paolo, Pizzamiglio, Sara, Gallo, Fabio, Ramsden, Simon C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2245902/
https://www.ncbi.nlm.nih.gov/pubmed/18186926
http://dx.doi.org/10.1186/1471-2105-9-13
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author Verderio, Paolo
Pizzamiglio, Sara
Gallo, Fabio
Ramsden, Simon C
author_facet Verderio, Paolo
Pizzamiglio, Sara
Gallo, Fabio
Ramsden, Simon C
author_sort Verderio, Paolo
collection PubMed
description BACKGROUND: 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. RESULTS: 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. CONCLUSION: We have provided a freeware programme using this algorithm specifically designed to increase the information content of the real-time PCR assay.
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spelling pubmed-22459022008-02-20 FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification Verderio, Paolo Pizzamiglio, Sara Gallo, Fabio Ramsden, Simon C BMC Bioinformatics Software BACKGROUND: 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. RESULTS: 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. CONCLUSION: We have provided a freeware programme using this algorithm specifically designed to increase the information content of the real-time PCR assay. BioMed Central 2008-01-10 /pmc/articles/PMC2245902/ /pubmed/18186926 http://dx.doi.org/10.1186/1471-2105-9-13 Text en Copyright © 2008 Verderio 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 Software
Verderio, Paolo
Pizzamiglio, Sara
Gallo, Fabio
Ramsden, Simon C
FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
title 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_short 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
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2245902/
https://www.ncbi.nlm.nih.gov/pubmed/18186926
http://dx.doi.org/10.1186/1471-2105-9-13
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