FScanpy

A Machine Learning-Based Framework for Programmed Ribosomal Frameshifting Prediction

FScanpy is a comprehensive Python package designed for the prediction of Programmed Ribosomal Frameshifting (PRF) sites in nucleotide sequences. By integrating advanced machine learning approaches (Gradient Boosting and BiLSTM-CNN) with the established FScanR framework, FScanpy provides robust and accurate PRF site predictions. The package requires input sequences to be in the positive (5' to 3') orientation.

For detailed documentation and usage examples, please refer to our tutorial.

Installation Requirements

• Python ≥ 3.7
• Dependencies are automatically handled during installation

Option 1: Install via pip

pip install FScanpy

Option 2: Install from source

git clone https://github.com/seanchen607/FScanpy-package.git
cd FScanpy-package
pip install -e .

Authors

Citation

If you utilize FScanpy in your research, please cite our work:

[Citation details will be added upon publication]