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@ -7,6 +7,19 @@ FScanpy is a comprehensive Python package designed for the prediction of [Progra
For detailed documentation and usage examples, please refer to our [tutorial](tutorial/tutorial.md). For detailed documentation and usage examples, please refer to our [tutorial](tutorial/tutorial.md).
## Core Features
- **Sequence Feature Extraction**: Support for extracting features from nucleic acid sequences, including base composition, k - mer features, and positional features.
- **Frameshift Hotspot Region Prediction**: Predict potential PRF sites in nucleotide sequences using machine learning models.
- **Feature Extraction**: Extract relevant features from sequences to assist in prediction.
- **Cross - Species Support**: Built - in databases for viruses, marine phages, Euplotes, etc., enabling PRF prediction across various species.
## Main Advantages
- **High Accuracy**: Integrates multiple machine learning models to provide accurate PRF site predictions.
- **Efficiency**: Utilizes a sliding window approach and feature extraction techniques to rapidly scan sequences.
- **Versatility**: Supports PRF prediction across various species and can be combined with the [FScanR](https://github.com/seanchen607/FScanR.git) framework for enhanced accuracy.
- **User - Friendly**: Comes with detailed documentation and usage examples, making it easy for researchers to use.
- **Flexible**: Provides different resolutions to suit different using situations.
## Installation Requirements ## Installation Requirements
- Python ≥ 3.7 - Python ≥ 3.7
- Dependencies are automatically handled during installation - Dependencies are automatically handled during installation