Advanced AI-powered tool for CRISPR-Cas9 sequence analysis and optimization. Features real-time visualization, efficiency prediction, and off-target risk assessment.
- Interactive GUI with tabbed interface
- Real-time sequence analysis
- Cutting efficiency prediction
- Off-target risk assessment
- Visual result presentation
- Parameter customization
- Comprehensive results reporting
- Python 3.8+
- TensorFlow 2.x
- NumPy
- Matplotlib
- Seaborn
- BioPython
- Tkinter
- Clone the repository:
git clone https://github.com/yourusername/crispr-ai-analyzer.git
cd crispr-ai-analyzer
crispr-ai-analyzer/
├── src/
│ ├── __init__.py
│ ├── predictor.py
│ ├── visualizer.py
│ └── utils.py
├── tests/
│ ├── __init__.py
│ └── test_predictor.py
├── examples/
│ └── basic_usage.py
├── README.md
├── requirements.txt
└── LICENSE
Create and activate virtual environment: python -m venv venv
venv\Scripts\activate
source venv/bin/activate
Install dependencies: pip install -r requirements.txt Requirements.txt: tensorflow>=2.8.0 numpy>=1.21.0 matplotlib>=3.5.0 seaborn>=0.11.0 biopython>=1.79
Quick Start from crispr_analyzer import CRISPRGui
app = CRISPRGui() app.run()
Basic Sequence Analysis: sequence = "ATCGATCGATCG" app = CRISPRGui() app.sequence_input.insert("1.0", sequence) app.analyze_sequence()
Custom Parameter Settings:
app = CRISPRGui()
app.efficiency_threshold.set(0.8) # Higher efficiency threshold
app.offtarget_tolerance.set(0.2) # Stricter off-target control