filmov
tv
Build and Deploy a Biotech AI Tool: Python, Next.js 15, React, Tailwind, Modal, Typescript (2025)

Показать описание
Everything (including GPU's) is free, and no biological background is needed, since I'll walk you through all the theory needed.
TL;DR / Simpler Version
DNA is like a long code made of A, T, G, and C. Small changes (mutations) in specific parts of this code, like in genes responsible for preventing cancer, can increase a person's risk of developing the disease. For instance, if an 'A' appears where a 'T' should be at a particular spot, that's a mutation. These changes can vary in how harmful they are, and we'll build a tool to analyze these different variations' harmfulness.
Features
🧬 Evo2 model for variant effect prediction
🩺 Predict pathogenicity of single nucleotide variants (pathogenic/benign)
⚖️ Comparison view for existing ClinVar classification vs. Evo2 prediction
💯 Prediction confidence estimation
🌍 Genome assembly selector (e.g., hg38)
🗺️ Select genes from chromosome browsing or searching (e.g., BRCA1)
🌐 See full reference genome sequence (UCSC API)
🧬 Explore gene and variants data (NCBI ClinVar/E-utilities)
💻 Python backend deployed with Modal
🚀 FastAPI endpoint for variant analysis requests
⚡ GPU-accelerated (H100) variant scoring via Modal
🎨 Modern UI with Tailwind CSS & Shadcn UI
📖 Chapters
00:00:00 Demo
00:03:50 Theory
01:42:08 Cloning the Evo2 repo
01:45:52 BRCA1 notebook
02:05:33 Running on Modal
02:42:30 Backend
03:08:10 Thresholds and confidence
03:32:40 Deploying the backend
03:35:30 Frontend
03:50:46 Genome assembly fetch
04:10:40 Chromosomes fetch
04:40:27 Genes search fetch
05:14:07 Gene details fetch
05:30:25 Gene sequence fetch
05:43:30 Gene information card
05:56:39 Gene sequence card
07:17:14 Known variants card
07:18:15 Known variants fetch
08:14:20 Mutation analysis call
08:30:17 Variant comparison modal
09:05:30 Variant analysis card
09:57:35 End notes
Комментарии