Segmentation-free Analysis of In Situ Capture data
Project description
sainsc
/ˈsaiəns/
"Segmentation-free Analysis of In Situ Capture data" or alternatively "Stupid Acronyms In Science"
sainsc
is a segmentation-free analysis tool for spatial transcriptomics from in situ
capture technologies (but also works for imaging-based technologies). It is easily
integratable with the scverse (i.e. scanpy
and squidpy
)
by exporting data in AnnData
or
SpatialData
format.
Installation
sainsc
will be made available on PyPI and
bioconda. For detailed installation instructions
please refer to the documentation.
Documentation
For an extensive documentation of the package please refer to the ReadTheDocs page
Versioning
This project follows the SemVer guidelines for versioning.
Citations
If you are using sainsc
for your research please cite
Müller-Bötticher, N., Tiesmeyer, S., Eils, R., and Ishaque, N. "Sainsc: a computational tool for segmentation-free analysis of in-situ capture" bioRxiv (2024) https://doi.org/10.1101/2024.08.02.603879
License
This project is licensed under the MIT License - for details please refer to the LICENSE file.
Project details
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