BMC Bioinformatics

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Open Access Highly Access Methodology article

Highly accurate sigmoidal fitting of real-time PCR data by introducing a parameter for asymmetry

Andrej-Nikolai Spiess1*, Caroline Feig1 and Christian Ritz2

Author Affiliations

1 Department of Andrology, University Hospital Hamburg-Eppendorf, Hamburg, Germany

2 Statistics Group, Department of Natural Sciences, Faculty of Life Sciences, University of Copenhagen, Denmark

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BMC Bioinformatics 2008, 9:221 doi:10.1186/1471-2105-9-221

Published: 29 April 2008

Additional files

Additional file 1:

Statistical summary of four independent dilution datasets and five commonly used quantification methods based on threshold cycles and initial template fluorescence as estimated from four- and five-parameter sigmoidal models. Four different dilution datasets differing in the number of replicates, enzymatic chemistry and platform were analyzed in respect to efficiency, measures for the goodness of fit (RMSE, AIC, R-squared; see Methods), threshold cycles estimated from four- and five-parameter sigmoidal models and calculated ratios obtained either by Δct methods or by estimation of the initial template fluorescence (F0). In total, five different methods as described in the file under 'Details' were used for the statistical comparison (see also Legend to Table 1). In cases of increased performance of the five-parameter models over the four-parameter models, the statistical values were highlighted in yellow. Microsoft Excel spreadsheet.

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