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. © 2008 Verderio et al; licensee BioMed Central Ltd.

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

GALLO, FABIO;
2008-01-01

Abstract

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. © 2008 Verderio et al; licensee BioMed Central Ltd.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/847868
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