Metadata-Version: 2.1
Name: spatialdata_xenium_explorer
Version: 0.1.7
Summary: Converting any SpatialData object into files that can be open by the Xenium Explorer
Home-page: https://quentinblampey.github.io/spatialdata_xenium_explorer/
License: BSD-3-Clause
Author: Quentin Blampey
Author-email: quentin.blampey@gmail.com
Requires-Python: >=3.9,<3.11
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Requires-Dist: botocore (==1.34.19)
Requires-Dist: spatialdata (>=0.1.2)
Requires-Dist: typer (>=0.9.0)
Project-URL: Documentation, https://quentinblampey.github.io/spatialdata_xenium_explorer/
Project-URL: Repository, https://github.com/quentinblampey/spatialdata_xenium_explorer
Description-Content-Type: text/markdown

# SpatialData to Xenium Explorer

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Converting any [`SpatialData`](https://github.com/scverse/spatialdata) object into files that can be opened by the [Xenium Explorer](https://www.10xgenomics.com/support/software/xenium-explorer).


Check [the documentation](https://quentinblampey.github.io/spatialdata_xenium_explorer/) to get started quickly.

> *Xenium Explorer* is a registered trademark of 10x Genomics

> You may also be interested in a pipeline for spatial-omics that uses this package: see [Sopa](https://github.com/gustaveroussy/sopa).

## Installation

Requirement: `python>=3.9`

```sh
pip install spatialdata_xenium_explorer
```

## Features

- Conversion of the following data: images, cell boundaries (polygons or spot), transcripts, cell-by-gene table, and cell categories (or observations).
- Image alignment can be made on the Xenium Explorer, and then the `SpatialData` object can be updated
- When working on the `SpatialData` or `AnnData` object, new cell categories can be easily and quickly added to the Explorer
- When selecting cells with the "lasso tool" on the Explorer, it's easy to select back these cells on the `SpatialData` or `AnnData` object

## Usage

You can use our CLI or API, see examples below. It will create up to 6 files, among which a file called `experiment.xenium`. Double-click on this file to open it on the [Xenium Explorer](https://www.10xgenomics.com/support/software/xenium-explorer/downloads) (make sure you have the latest version of the software).

### CLI

```sh
spatialdata_xenium_explorer write /path/to/sdata.zarr
```

Check [our documentation](https://quentinblampey.github.io/spatialdata_xenium_explorer/cli) for more details.

### API

```python
import spatialdata
import spatialdata_xenium_explorer

sdata = spatialdata.read_zarr("...")

spatialdata_xenium_explorer.write("/path/to/directory", sdata, image_key, shapes_key, points_key, gene_column)
```

Check [our documentation](https://quentinblampey.github.io/spatialdata_xenium_explorer/api) for more details.

## Contributing

This package is still in early development. Contributions are welcome (new issues, pull requests, ...).

## Cite us

This library has been detailed in a more general article spatial omics analysis, see the [Sopa library](https://github.com/gustaveroussy/sopa).
The latter article is not published yet, but you can cite our [preprint](https://www.biorxiv.org/content/10.1101/2023.12.22.571863v1):

```txt
@article {Blampey2023.12.22.571863,
	author = {Quentin Blampey & Kevin Mulder et al.},
	title = {Sopa: a technology-invariant pipeline for analyses of image-based spatial-omics},
	elocation-id = {2023.12.22.571863},
	year = {2023},
	doi = {10.1101/2023.12.22.571863},
	publisher = {Cold Spring Harbor Laboratory},
	URL = {https://www.biorxiv.org/content/early/2023/12/23/2023.12.22.571863},
	eprint = {https://www.biorxiv.org/content/early/2023/12/23/2023.12.22.571863.full.pdf},
	journal = {bioRxiv}
}
```

