35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
# 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)](https://en.wikipedia.org/wiki/Ribosomal_frameshift) sites in nucleotide sequences. By integrating advanced machine learning approaches (Gradient Boosting and BiLSTM-CNN) with the established [FScanR](https://github.com/seanchen607/FScanR.git) 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](tutorial/tutorial.md).
|
|
|
|
## Installation Requirements
|
|
- Python ≥ 3.7
|
|
- Dependencies are automatically handled during installation
|
|
|
|
### Option 1: Install via pip
|
|
```bash
|
|
pip install FScanpy
|
|
```
|
|
|
|
### Option 2: Install from source
|
|
```bash
|
|
git clone git@60.204.158.188:yyh/FScanpy-package.git
|
|
cd FScanpy-package
|
|
pip install -e .
|
|
```
|
|
|
|
## Authors
|
|
|
|
|
|
## Citation
|
|
If you utilize FScanpy in your research, please cite our work:
|
|
|
|
```bibtex
|
|
[Citation details will be added upon publication]
|
|
```
|