<img src="https://raw.githubusercontent.com/rajewsky-lab/openst/5617df9d35341778487d4c623eaac53b61000006/docs/static/img/openst_logo_color.png" class="dark-light" align="right" width="350" alt="image" />
Open-ST is an open-source spatial transcriptomics method with efficient whole-transcriptome capture at sub-cellular resolution (0.6 μm) at low cost (<150 Euro library preparation per 12 mm²).
Open-ST requires standard lab equipment and includes open-source software for seamless data processing and analysis.
pip install openst
.We provide various Open-ST datasets collected by the Rajewsky lab @ MDC Berlin, from various tissues/organisms. There, links to raw and processed data are available, as well as step-by-step guides for (pre)processing and downstream analysis.
All the detail to the experimental and computational aspects of our method are available in our website.
We love to have an open approach to documentation. We decided to use mkdocs as our documentation backend to make your life easier. So, feel free to suggest changes by opening a documentation-related issue!
You can build the documentation locally by following these steps:
git clone https://github.com/rajewsky-lab/openst
pip install mkdocs-material mkdocs-autorefs mknotebooks
mkdocs serve -f openst/mkdocs.yml
Open-ST is an open-source project mostly maintained by the Rajewsky lab @ MDC Berlin - so, your involvement is warmly welcome! If you're excited to join us, we recommend the following steps:
In general, you can always refer to the contribution guidelines for more details! Currently, only admins will be merging all accepted changes.
Everyone interacting in the Open-ST project's codebases, issue trackers, and discussion forums is expected to follow the PSF Code of Conduct.
The software tools of this project are under the GNU License - see the LICENSE file for details.