We are currently alpha testing the publishing portal and are not accepting public submissions at this time.
However, if you have a single cell RNA or DNA assay from human or mouse that you'd like to curate and are interested in helping us test upload and other portal features, please contact us at cellxgene@chanzuckerberg.com and we'll be happy to discuss whether your dataset is something that we can accept.
The Data Portal is designed to maximize the impact of your published data by maximizing their accessibility and reusability through graphical tools and command line interfaces:
| Major single cell data reuse case | Data Portal feature |
|---|---|
| Computational Benchmarking | Standardized data in R and Python native formats |
| Meta Analysis / Integrative Analysis | Standardized data in R and Python native formats |
| Evaluate published results | Instant data exploration in Cellxgene Explorer |
| Gene Lookup (by cell type, or other entity) | Add gene in Cellxgene Explorer and paint by cell types |
| Biological Pathway Exploration | Add gene set in Cellxgene Explorer and paint by any metadata |
The Data Portal also provides features that assist in the Publication process:
- Citation: the portal provides permanent publication links that can be cited in your paper or preprint and linked to from your lab's website.
- Private Collaboration: Data uploaded to the portal can be kept private until you are ready to publish it, and private links can be shared with collaborators or manuscript reviewers.
To enable these capabilities, data contributed to the Data Portal will need to be formatted to adhere to the the single-cell annotated data schema. Documentation describing how to format and submit data is available in the single-cell-curation repository.
If you have any further questions about data submission and requirements, please contact us