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BMCBI
2008

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

10 years 2 months ago
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 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. Background Real-time PCR is widely used for the quantification of nucleic acids in a wide range of clinical and research applications including the measurement of gene dosage, detection of residual disease in haematological malignancies and detection of bacterial and viral infection. Real-time...
Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Sim
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Simon C. Ramsden
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