FCI: an R-based algorithm for evaluating uncertainty of absolute real-time PCR quantification
<p>Abstract</p> <p>Background</p> <p>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.</p> <p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-01-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/9/13 |
| Summary: | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>We have provided a freeware programme using this algorithm specifically designed to increase the information content of the real-time PCR assay.</p> |
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| ISSN: | 1471-2105 |