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: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.
Authors: Simon C Ramsden; Sarah Daly; Wolf-Jochen Geilenkeuser; Graeme Duncan; Fabienne Hermitte; Ettore Marubini; Michael Neumaier; Claudio Orlando; Vladimir Palicka; Angelo Paradiso; Mario Pazzagli; Sara Pizzamiglio; Paolo Verderio Journal: Clin Chem Date: 2006-06-01 Impact factor: 8.327