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Description

Analyze Data for Fluorophore-Assisted Seed Amplification Assays.

A toolkit for analysis and visualization of data from fluorophore-assisted seed amplification assays, such as Real-Time Quaking-Induced Conversion (RT-QuIC) and Fluorophore-Assisted Protein Misfolding Cyclic Amplification (PMCA). 'QuICSeedR' addresses limitations in existing software by automating data processing, supporting large-scale analysis, and enabling comparative studies of analysis methods. It incorporates methods described in Henderson et al. (2015) <doi:10.1099/vir.0.069906-0>, Li et al. (2020) <doi:10.1038/s41598-021-96127-8>, Rowden et al. (2023) <doi:10.3390/pathogens12020309>, Haley et al. (2013) <doi:10.1371/journal.pone.0081488>, and Mair and Wilcox (2020) <doi:10.3758/s13428-019-01246-w>. Please refer to the original publications for details.

QuICSeedR

R-CMD-check

Overview

QuICSeedR is a comprehensive R package for analyzing and visualizing data from fluorophore-assisted seed amplification assays, such as Real-Time Quaking-Induced Conversion (RT-QuIC) and fluorophore-assisted Protein Misfolding Cyclic Amplification (PMCA). This toolkit addresses limitations in existing software by automating data processing, supporting large-scale analysis, and enabling comparative studies of analysis methods.

Features

  • Automated data processing for RT-QuIC and PMCA assays
  • Support for large-scale data analysis
  • Comparative analysis of different methodologies
  • Visualization tools for assay results
  • Statistical analysis functions tailored for seed amplification data

Installation

You can install the development version of QuICSeedR from GitHub with:

# install.packages("devtools")
devtools::install_github("mancili/QuICSeedR")

Usage

For more detailed examples and function documentation, please refer to the function help pages. The manuscript link will be added here once it becomes available.

Requirements

  • R (>= 4.1.0)

License

This R package for analyzing seed amplification assay data is available under a dual licensing model: it is freely available under the GNU General Public License v3.0 (GPL-3) for open-source use, and a separate commercial LICENSE is offered for use cases that require additional rights or support beyond the scope of GPL-3.

Author

Manci Li, PhD

ORCID: 0000-0003-3930-7117

Citation

If you use QuICSeedR in your research, please cite it as follows:

Li, M. (2024). QuICSeedR: Data analysis for fluorophore-assisted seed amplification assays. R package version 0.1.2. https://github.com/mancili/QuICSeedR

Contact

For questions and feedback, please contact Dr. Manci Li at [email protected].

Metadata

Version

0.1.2

License

Unknown

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