BioinformaticsBioinformaticsPeer-reviewed journal article
QuICSeedR: An R package for analyzing fluorophore-assisted seed amplification assay data
Manci LiiD, Damani N. BryantiD, Sarah Gresh, Marissa S. MilsteiniD, Peter R. ChristensoniD, Stuart Siegfried LichtenbergiD, Peter A. LarseniD, Sang‐Hyun OhiD
Abstract
SummaryFluorophore-assisted seed amplification assays (F-SAAs), such as real-time quaking-induced conversion (RT-QuIC) and fluorophore-assisted protein misfolding cyclic amplification (F-PMCA), have become indispensable tools for studying protein misfolding in neurodegenerative diseases. However, analyzing data generated by these techniques often requires complex and time-consuming manual processes. Additionally, the lack of standardization in F-SAA data analysis presents a significant challenge to the interpretation and reproducibility of F-SAA results across different laboratories and studies. Here, we present QuICSeedR (pronounced as "quick seeder"), an R package that addresses these challenges by providing a comprehensive toolkit for the automated processing, analysis, and visualization of F-SAA data. Importantly, QuICSeedR also sets up the foundation for building an F-SAA data management and analysis framework, enabling more consistent and comparable results across different research groups. Availability and implementationQuICSeedR source code is freely available at: https://github.com/mancili/QuICSeedR. Data and code used in this manuscript are provided in Supplementary Materials. Supplementary informationSupplementary Materials are available with the manuscript.
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