scRNA-seq Explorer 🧬

A high-performance R Shiny application for the interactive exploration of single-cell RNA sequencing data. This tool allows researchers to visualize Seurat objects without writing code.

⭐ Key Features

• Dynamic Upload: Supports .rds files containing Seurat objects.
• Interactive Visualizations:
  • UMAP/t-SNE cluster viewing.
  • Real-time Gene Expression (FeaturePlots).
  • Distribution analysis via Violin Plots.
• On-the-fly Analysis: Calculate top cluster marker genes using FindAllMarkers.
• Publication Ready: Download plots as PNG directly from the UI.

🚀 Getting Started

Prerequisites

You will need R installed. Then, install the required packages:

install.packages(c("shiny", "ggplot2", "dplyr", "patchwork", "bslib"))
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")
BiocManager::install("Seurat")


# Running Locally
Clone this repository:

git clone [https://github.com/yourusername/scrna-explorer.git](https://github.com/yourusername/scrna-explorer.git)

Open app.R in RStudio.

Click "Run App" or type shiny::runApp() in the console.