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

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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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APA

Verderio, P., Pizzamiglio, S., Gallo, F., & Ramsden, S. C. (2008). FCI: An R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification. BMC Bioinformatics, 9. https://doi.org/10.1186/1471-2105-9-13

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