Spaces:
Running
Running
| title: Bioinformatics Classification | |
| emoji: 🧬 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_file: app.py | |
| pinned: false | |
| # 🧬 Bioinformatics Classification App | |
| A Flask-based web application for genomic SNP classification and natural product analysis using machine learning. | |
| ## Features | |
| - **SNP-based Classification** - Genomic sequence analysis and classification | |
| - **ML Model Integration** - Scikit-learn Logistic Regression for predictions | |
| - **BLAST Database Support** - Sequence alignment against pathway databases | |
| - **Interactive Web UI** - Flask + HTML/CSS/JS frontend | |
| ## Quick Start | |
| The application starts automatically. Just interact with the web interface! | |
| ## Project Structure | |
| ├── app.py # Main Flask application | |
| ├── best_model_LR.sav # Trained ML model | |
| ├── label_encoder.pkl # Feature encoder | |
| ├── pathway_db.* # BLAST sequence databases | |
| ├── static/ # CSS, JavaScript, images | |
| ├── templates/ # HTML templates | |
| └── data/ # Reference data | |
| ## Model Details | |
| - **Classifier:** Scikit-learn Logistic Regression | |
| - **Input:** SNP features (genomic sequences) | |
| - **Output:** Classification predictions | |
| - **Framework:** Flask + Python 3.10 | |
| ## API Endpoints | |
| - `GET /` - Main web interface | |
| - `POST /api/predict` - Make predictions | |
| - `POST /api/upload` - Upload sequences | |
| - `GET /api/results` - Retrieve results | |
| ## Author | |
| **Snehazs** - Bioinformatics Researcher | |
| ## License | |
| MIT License |