BE-Hive
Liu Lab, Broad Institute
4.6( reviews)
Base Editing
Machine Learning
Outcome Prediction
About
Learn more about this tool
A machine learning tool that predicts the outcomes of cytosine and adenine base editing. It helps researchers design more precise base editing experiments.
Key Features
- Prediction of base editing outcomes
- Support for multiple base editor variants
- Machine learning-based predictions
- Visualization tools
Technical Specifications
- Platform
- License
- Last Updated
- 2023-11-20T00:00:00+00:00
Performance Metrics
Evaluation and benchmarks
Performance Score85%
This tool demonstrates high accuracy in predicted results compared to experimental validation.
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