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QuICSeedR

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 li000021@umn.edu.

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Version

Install

install.packages('QuICSeedR')

Monthly Downloads

151

Version

0.1.2

License

GPL-3 | file LICENSE

Maintainer

Manci Li

Last Published

September 2nd, 2024

Functions in QuICSeedR (0.1.2)

GetCalculation

Perform Calculations
GetAnalysis

Perform Statistical Analysis on Calculations
PlotPlate

Plot Time Series Data
GetReplicate

Generate Replicate Numbers for Plate Data
CleanRaw

Generate Clean Raw Data
CleanMeta

Get Clean Metadata
BulkReadMARS

Bulk Read MARS data
ConvertTime

Extract and Convert Time Data to Decimal Hours
BulkProcessing

Processing and analyzing Multiple Experiments
SummarizeResult

Summarize Analysis Results
PlotMetric

Create a customizable ggplot for metrics
PlotRawMulti

Plot Multiple Samples from the Cleaned Raw Data
PlotRawSingle

Plot a Single Sample from the Cleaned Raw Data
SpreadCalculation

Spread Calculation Data