This package provides efficient and scalable handling of flow and mass cytometry data analysis. It provides
- the functionality to read in flow data in the fcs file format as anndata objects
- flow and mass cytometry specific preprocessing tools
- access to the entire scanpy workflow functionality
- GPU support through rapids-singlecell
Please refer to the documentation. In particular, the
You need to have Python 3.10 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.
There are several alternative options to install pytometry:
- Install the latest release of
pytometry
from PyPI.
pip install pytometry
- Install the latest development version:
pip install git+https://github.com/scverse/pytometry.git@main
See GitHub releases.
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
Pytometry is currently a pre-print on bioRxiv.