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_We encourage contributions from the community and from developers of spatial technologies. Please see the "How to Contribute" section below._
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This package contains reader functions to load common spatial omics formats into SpatialData. Currently, we provide support for:
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- 10x Genomics Visium®
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Note: all mentioned technologies are registered trademarks of their respective companies.
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Please refer to the list of [open Pull Requests](https://github.com/scverse/spatialdata-io/pulls?q=sort%3Aupdated-desc+is%3Apr+is%3Aopen) for readers that are currently being developed.
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## Known limitations
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Contributions for addressing the below limitations are very welcomed.
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1.**Open a GitHub Issue**: Start by opening a new issue or commenting on an existing one in the repository. Clearly describe the problem and your proposed changes to avoid overlapping efforts with others.
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2.**Submit a Pull Request (PR)**: Once the issue is discussed, submit a PR to the `spatialdata-io` repository. Ensure your PR includes information about a suitable dataset for testing the reader, ideally no larger than 10 GB. Include clear instructions for accessing the data, preferably with a `curl` or `wget` command for easy downloading.
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3.**Optional Enhancements**: To facilitate reproducibility and ease of data access, consider adding a folder in the [spatialdata-sandbox](https://github.com/giovp/spatialdata-sandbox) repository. Include a `download.py` and `to_zarr.py` script (refer to examples in the repository) to enable others to reproduce your reader by simply running these scripts sequentially.
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2.**Submit a Pull Request (PR)**: Once the issue is discussed, submit a PR to the `spatialdata-io` repository. If you are contributing a new reader, or extending the reader for a new versions of a technologies, please consult our [contribution guide](https://spatialdata.scverse.org/projects/io/en/latest/contributing.html), which describes the steps to ensure that the pull request can be tested on suitable example data and reviewed efficiently.
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