database-access

To fetch public omics datasets, provide input identifiers or search terms to resolve data assets across GEO, SRA, UniProt, Reactome, and PubMed. The skill queries Entrez-style APIs to retrieve sequences, annotations, and literature-linked resources.

Normalize metadata and track provenance by applying built-in metadata normalization during data retrieval. This process ensures reproducible outputs by standardizing dataset records fetched from multiple omics databases into linked metadata tables.

Yes, you can retrieve sequences and annotations from UniProt and Reactome. The skill streamlines access to these omics databases, allowing you to gather and normalize dataset metadata specifically for building meta-analysis inputs.

No, you do not strictly need specific accessions. The skill resolves data assets from GEO and SRA using either input identifiers like accessions or general search terms queried through Entrez-style APIs to find relevant datasets.

The best way to build linked metadata tables from omics databases is to use a skill that fetches public datasets and applies metadata normalization. This ensures provenance tracking and reproducible outputs when consolidating resources from GEO, SRA, UniProt, Reactome, and PubMed.

Metadata normalization matters for reproducible analyses because it standardizes disparate dataset formats retrieved from multiple omics databases. Tracking provenance alongside normalized exports ensures that fetched literature-linked resources remain consistent and traceable across different workflow stages.