DEG Pipeline & Visualizer v2.0.2
DEG Pipeline & Visualizer — First Public Release (v2.0.2)
We are excited to announce the first stable release of DEG Pipeline & Visualizer, an integrated desktop application for differential gene expression analysis and publication‑quality visualisation.
What’s Included
This release provides a fully functional Windows executable (.exe) that requires no Python installation. Simply download, double‑click, and start analysing your RNA‑seq data.
Key Features
- Automated DEG analysis using PyDESeq2 (Tumor vs. Normal)
- Interactive volcano plots, MA plots, summary bar charts, and expression heatmaps
- Intelligent gene labelling with automatic collision‑free connectors
- Multi‑format export: PNG, PDF, TIFF, SVG at 600 DPI
- Clean, two‑step graphical user interface
Installation & Usage
Option 1 – Standalone Executable (Recommended)
- Download
DEG_Pipeline.exefrom the assets below. - Double‑click to run – no additional software required.
Option 2 – Run from Source
See the README for detailed instructions on setting up a Python environment and installing dependencies.
System Requirements
- Windows 7 or later (64‑bit recommended)
- 4 GB RAM minimum (8 GB or more recommended for large datasets)
Known Issues
- The executable is currently built for Windows only. macOS and Linux users should run from source.
- Large datasets (> 500 samples) may require additional memory; adjust accordingly.
Feedback & Support
If you encounter any issues or have suggestions for improvement, please open an Issue on GitHub. We welcome contributions!
Happy analysing!
Alireza Balaei Kahnamoei
Full Changelog: https://github.com/alirezabk1382927-sys/DEG-Pipeline-Visualizer/commits/v2.0.2