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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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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. |
format | Text |
id | pubmed-2245902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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