Skip to content

DEG Pipeline & Visualizer v2.0.2

Choose a tag to compare

@alirezabk1382927-sys alirezabk1382927-sys released this 23 Jul 14:30
· 40 commits to main since this release
edb5019

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)

  1. Download DEG_Pipeline.exe from the assets below.
  2. 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