OpjPeakAnalyzer

An interactive Shiny application for processing .opj files, performing peak analysis, and visualizing results with dynamic plots.

Demo

Features

• Batch File Upload: Upload multiple .opj files simultaneously for efficient processing.
• Dynamic Column Selection: Easily select X and Y columns from your data for analysis.
• Data Cleaning: Automatically removes phantom coordinates (outliers) based on median and Median Absolute Deviation (MAD) without user intervention.
• Peak Analysis: Identifies and counts peaks in the Y-axis data using customizable parameters such as minimum peak height, distance between peaks, and threshold.
• Comprehensive Visualization: Generates clear and informative plots for each processed file, highlighting detected peaks.
• Error Handling: Skips corrupted or improperly formatted files and notifies users of any issues.
• Results Export: Download analysis results in .csv format for further use or record-keeping.

Installation

Prerequisites

• R (version 4.0 or higher)
• RStudio (optional but recommended)

Clone the Repository

git clone https://github.com/flawedme/OpjPeakAnalyzer.git

Navigate to the Project Directory

cd OpjPeakAnalyzer

Install Required Packages

Open R or RStudio and run the following command to install necessary packages:

install.packages(c("shiny", "Ropj", "dplyr", "pracma", "DT", "ggplot2"))

Usage

Launch the Application

In R or RStudio, set the working directory to the project folder and run:

shiny::runApp("app.R")