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...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Paolo Verderio, Sara Pizzamiglio, Fabio Gallo, Simon C. Ramsden
• Keywords: BMCBI 2008, Nucleic Acid, Real-time Pcr, Standard Curve