Flow & mass cytometry analytics in scverse
Project description
pytometry: Flow & mass cytometry analytics
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
Getting started
Please refer to the documentation. In particular, the
Installation
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
Release notes
See GitHub releases.
Contact
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
Citation
Pytometry is currently a pre-print on bioRxiv.
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