nlm-ckn

is a Knowledge Graph.

The NLM Cell Knowledge Network, a knowledge graph that contains knowledge about cellular phenotypes (cell types and cell states) that has been gathered through single cell technologies and related experiments. NLM-CKN is populated using validated computational analysis pipelines and natural language processing of scientific literature and integrated with other public sources of relevant knowledge about genes, anatomical structures, diseases, and drugs.

License

CC0-1.0

Homepage

nlm-ckn

Repository

GitHub

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
nlm-ckn.graph nlm-ckn-graph nlm-ckn.org GraphProduct http The NLM-CKN knowledge graph of cellul...
nlm-ckn.ui nlm-ckn-ui nlm-ckn-ui GraphicalInterface http The NLM-CKN web application, a Django...
nlm-ckn.schema nlm-ckn-schema ckn-schema.yaml (73.4 KB) DataModelProduct LinkML data model (schema) for cell p...
nlm-ckn.etl nlm-ckn-etl nlm-ckn-etl ProcessProduct The NLM-CKN ETL pipeline, which produ...
nlm-ckn.harvester cellxgene-harvester cellxgene-harvester ProcessProduct The cellxgene-harvester package, whic...
nlm-ckn.scsilhouette scsilhouette scsilhouette ProcessProduct The scsilhouette Python package, part...
nlm-ckn.nsforest-qc sc-nsforest-qc-nf sc-nsforest-qc-nf ProcessProduct The sc-nsforest-qc-nf Nextflow workfl...

KG-Registry Curators

Harry Caufield

ORCID: 0000-0001-5705-7831

Github: caufieldjh

Details

A knowledge graph that contains knowledge about cellular phenotypes (cell types and cell states) that has been gathered through single cell technologies and related experiments. NLM-CKN is populated using validated computational analysis pipelines and natural language processing of scientific literature and integrated with other public sources of relevant knowledge about genes, anatomical structures, diseases, and drugs.

The NLM-CKN infrastructure spans several coordinated repositories: the cellxgene-harvester selects and filters single-cell datasets from the CELLxGENE Census; the sc-nsforest-qc-nf Nextflow workflow (using scsilhouette and NSForest) generates marker genes and quality metrics; the NLM-CKN ETL pipeline builds the ArangoDB knowledge graph from those results and source ontologies (following the NLM-CKN schema); and the NLM-CKN UI serves it at nlm-ckn.org.

Automated Evaluation

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Created: April 17, 2025 | Last modified: July 14, 2026