scDeBussy is a Python package for dynamic time warping (DTW)-based pseudotime alignment of single-cell RNA-seq data. It enables robust alignment of temporal or developmental trajectories across different conditions or datasets.
- Implements DTW with barycenter averaging for trajectory alignment
- Downstream analysis with visualization capabilities
Please refer to the documentation, in particular, the API documentation.
You need to have Python 3.10 or newer installed on your system. If you don't have Python installed, we recommend installing uv.
Install the latest development version scDeBussy
pip install git+https://github.com/joechanlab/scDeBussy.git@main
See the changelog.
We welcome contributions! Feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.
For questions or feedback, please use the issue tracker.
t.b.a