Algorithms for automated detection of hook effect-bearing amplification curves

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. Therefore, our algorithms streamline quality control, but can also be used for assay optimization or machine learning.
Source: Biomolecular Detection and Quantification - Category: Molecular Biology Source Type: research