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Analyze your scRNA-seq data

Load your data

  • h5ad or 10x .h5 with raw scRNA-seq counts and optional metadata columns

Configure run

  • Select tissue context
  • Select outcomes
  • Assign column roles

Download results

  • Analysis report (.html)
  • Processed results (.zip)

Your data is encrypted in transit and at rest, is never used to train anything, and stays yours: we claim no rights to it or to your results. Uploads are deleted after 7 days and results after 30, and you can delete them yourself at any time. Data handling

Which biological context best represents your data?

An appropriate pre-trained model will be used to analyze your data. Your data will not be used for training.

Cell types

B cell, CD4-positive, alpha-beta T cell, CD8-positive, alpha-beta T cell, classical monocyte, conventional dendritic cell, erythrocyte, gamma-delta T cell, hematopoietic precursor cell, innate lymphoid cell, intermediate monocyte, macrophage, mast cell, mucosal invariant T cell, natural killer cell, neutrophil, non-classical monocyte, plasma cell, plasmacytoid dendritic cell, platelet, regulatory T cell

Explore context ↗
What would you like to achieve?
    Load your data
    Drop your data here, or

    Accepts .h5ad (AnnData) and 10x .h5. Requires raw counts, not normalized values.

    Cite the data source (optional)

    One per line, text | link. Printed at the top of the report.

    Run analysis