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The 'hook effect' describes a phenomenon in quantitative PCR (qPCR) amplification curves where fluorescence values decrease following an initial amplification phase. We propose that in intercalating dye-based qPCR, the 'hook effect' is due to the amplification of heterogeneous but related DNA target ….
1 de dic. de 2018 · In this study we present two approaches to automatically detect hook effect-like curvatures based on linear (hookreg) and nonlinear regression (hookregNL). As the hook effect is typical for qPCR data, both algorithms can be employed for the automated identification of regular structured qPCR curves.
5 de jun. de 2020 · The ‘hook effect’ describes a phenomenon in quantitative PCR (qPCR) amplification curves where fluorescence values decrease following an initial amplification phase. We propose that in...
The aim of the study is to provide software tools and algorithms, which assists qPCR users during the analysis and quality management of their data. In particular, this study shows how it is possible to automatically detect hook effects (see Barratt and Mackay (2002)) or hook effect-like curvatures.
16 de oct. de 2018 · In this study we present two approaches to automatically detect hook effect-like curvatures based on linear (hookreg) and nonlinear regression (hookregNL). As the hook effect is typical for qPCR data, both algorithms can be employed for the automated identification of regular structured qPCR curves.
1 de oct. de 2018 · In this study we present two approaches to automatically detect hook effect-like curvatures based on linear (hookreg) and nonlinear regression (hookregNL). As the hook effect is typical for...
31 de mar. de 2021 · PCRedux aims to remedy this situation by providing a basis for 29 the automated evaluation of qPCR results using established and new descriptive curve 30 features that could be used to classify amplification curves. 31 With the availability of machine learning techniques, several groups have started to 32 use these in qPCR e...
