This repository contains documents and code used by cellxgene's curation team. Issues/suggestions pertaining to datasets and how they interact with cellxgene should be created here.
For information/issues about cellxgene and its portal please refer to:
The primary curation tool is the cellxgene-schema
CLI. It enables curators to perform schema validation for datasets to be hosted on the cellxgene Data Portal.
It requires Python >= 3.8. It is available through pip:
pip install cellxgene-schema
It can also be installed from the source by cloning this repository and running:
make install
And you can run the tests with:
make unit-test
The CLI validates an AnnData file (*.h5ad) to ensure that it addresses the schema requirements.
Datasets can be validated using the following command line:
cellxgene-schema validate input.h5ad
If the validation succeeds, the command returns a zero exit code; otherwise, it returns a non-zero exit code and prints validation failure messages.
This experimental validator also offers the option to annotate required columns cell_type_ontology_term_id
and tissue_ontology_term_id
in Zebrafish, Fruit Fly, or C. Elegans anndata BEFORE running validation commands above.
This relies on your anndata having the appropriate species-specific ontology terms (e.g. ZFA, FbBT, WBbt) labeled in organism_cell_type_ontology_term_id
and organism_tissue_ontology_term_id
, respectively.
cellxgene-schema map-species output.h5ad input.h5ad
The command will find the closest CL (for cell_type) or UBERON (for tissue) mapping for the given term, offering either an exact match for the given term or a match from the closest possible ancestor term. This is based on the CL and UBERON SSSOM mappings.
If there are multiple closest ancestors of the same distance with a match, the command will NOT annotate those rows and instead log your closest ancestor match options for your manual curation.
The data portal runs the following in the backend:
cellxgene-schema validate --add-labels output.h5ad input.h5ad
This execution validates the dataset as above AND adds the human-readable labels for the ontology and gene IDs as defined in the schema. If the validation is successful, a new AnnData file (output.h5ad) is written to disk with the labels appended.
This option SHOULD NOT be used by data contributors.
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