README.md
In artitzco/fraping: Package for FRAP Data Analysis and Interpretation

FRAP Analysis Package

The FRAP Analysis Package is designed to handle and interpret data acquired through the Fluorescence Recovery After Photobleaching (FRAP) technique. It provides a set of main functions to facilitate the analysis and interpretation of FRAP data.

The FRAP Analysis Package offers the following key features:

Standardization and Visualization
Standardize and visualize fluorescence data obtained from FRAP experiments.
Gain insights into the dynamics of fluorophore recovery.
Parametric Model Fitting
Fit parametric models to the fluorescence recovery curve.
Identify the most suitable model that describes the recovery kinetics after photobleaching.
Statistical Comparison
Perform statistical tests to compare fluorescence recovery curves between different datasets.
Assess significant differences in recovery kinetics.
Simulation Methods
Utilize simulation methods to increase the effective sample size of your data.
Enhance statistical analyses and improve the accuracy of conclusions.

To install the FRAP Analysis Package, you can use the install_github function from the devtools package. Please make sure to also install the required itz package from GitHub:

devtools::install_github("artitzco/itz")
devtools::install_github("artitzco/fraping")

To get started, you can use the downloadData function to download a demo dataset and create the file test.fraping.R in your workspace. The dataset includes FRAP fluorescence recovery data quantified by the Image Fiji software.

fraping::downloadData()

For more detailed instructions and examples, please refer to the User Manual (English version) or Manual de Usuario (versión en español).

Contributions to the FRAP Analysis Package are welcome. If you encounter any issues or have suggestions for improvements, please submit them in the Issues section.

This project is associated with an article published in the Microscopy Research & Technique.