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ABSTRACT: Background
Based upon defining a common reference point, current real-time quantitative PCR technologies compare relative differences in amplification profile position. As such, absolute quantification requires construction of target-specific standard curves that are highly resource intensive and prone to introducing quantitative errors. Sigmoidal modeling using nonlinear regression has previously demonstrated that absolute quantification can be accomplished without standard curves; however, quantitative errors caused by distortions within the plateau phase have impeded effective implementation of this alternative approach.Results
Recognition that amplification rate is linearly correlated to amplicon quantity led to the derivation of two sigmoid functions that allow target
SUBMITTER: Rutledge RG
PROVIDER: S-EPMC2397388 | biostudies-literature | 2008 May
REPOSITORIES: biostudies-literature