scientific-ontology-enrichment

Cross-ontology enrichment analysis integrates EFO, OLS, Enrichr, and UMLS to map biomedical experimental factors to standardized ontology terms and run enrichment queries across multiple libraries. You provide a gene list to obtain ontology mappings and enrichment results for downstream bioinformatics analyses.

Cross-ontology mapping links experimental factors to standardized terms across HP, MONDO, DOID, GO, and CHEBI using OLS and UMLS. You need it when your bioinformatics workflow requires consistent annotation and cross-ontology queries across disparate biomedical resources.

Yes, you can use Enrichr and EFO mappings together within a single pipeline. The skill integrates EFO for experimental factor annotation and Enrichr for gene-set enrichment, outputting combined ontology mappings and enrichment results for your downstream analyses.

Yes, you need API access to EFO, OLS, UMLS, and Enrichr to run cross-ontology queries. The pipeline requires these external ontology services to retrieve standardized mappings and perform enrichment analyses across biomedical resources.

The best way to map experimental factors to standardized ontology terms is using an integrated pipeline that applies EFO, OLS, and UMLS. This approach retrieves cross-ontology mappings across resources like MONDO and GO, ensuring consistent annotation for enrichment analyses.

Limitations of cross-ontology enrichment include dependency on external API availability for EFO, OLS, UMLS, and Enrichr. If an API is unavailable, the pipeline cannot retrieve the ontology mappings or enrichment results needed for your downstream bioinformatics analyses.