This article describes the AnnData format (.h5ad) and SCP-required metadata, to help inform data management cores and other data generators who want their single cell datasets to be explorable using Single Cell Portal and its reusable visualization tools.
How to process single cell datasets for use in Single Cell Portal:
- Step 1: Generate primary data (FASTQs)
- Step 2: Generate BAMs and raw count matrix, using tools like Optimus
- Step 3: Generate SCP-ready AnnData files
- Fill in
obsmframes in your AnnData with sample-level values for SCP required metadata (e.g.organID,organ__ontology_label) - Use tools like Scanpy or Seurat to:
- Apply normalization, filtering, etc., generating an processed expression matrix from raw count matrix
- Generate (X, Y) clustering coordinates for your cells via dimensionality reduction methods like UMAP, t-SNE, or PCA
- Use tools like scANVI or Cellarium CAS to annotate cell types, and put the Cell Ontology values in the
cell_typeID andcell_type__ontology_labelframes inobsm-- these are optional fields in the SCP metadata schema
- Fill in
Our articles on setting up a study on SCP give more detailed instructions on how to create, upload, and manage your dataset on Single Cell Portal.
Questions? Contact us at scp-support@broadinstitute.zendesk.com.
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