Evo2 Variant Analysis

A web app for predicting DNA mutation pathogenicity using the Evo2 deep learning model. Analyze single nucleotide variants (SNVs) and compare with ClinVar classifications.

Features

• 🧬 Evo2 model for variant effect prediction
• 🩺 SNV pathogenicity prediction (pathogenic/benign)
• ⚖️ ClinVar classification comparison
• 🌍 Genome assembly browsing and gene search
• 💻 FastAPI backend with GPU acceleration
• 📱 Next.js frontend with modern UI

Evo2 Model

• Paper
• GitHub

Quickstart

Backend

git clone --recurse-submodules https://github.com/shivazshu/evo2-vep.git
cd evo2-backend
pip install -r requirements.txt
modal setup
modal run main.py
# or deploy: modal deploy main.py

Frontend

cd evo2-frontend
npm install
npm run dev

Set NEXT_PUBLIC_ANALYZE_VARIANT_BASE_URL in .env.local to your backend endpoint.

Tech Stack

• Frontend: Next.js, React, TypeScript, Tailwind CSS
• Backend: FastAPI, Modal, GPU-accelerated inference

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