This pulls gene expression and omics datasets from ArrayExpress and BioStudies, with fallback to GEO and other repositories when needed. You give it a gene, condition, or disease, and it returns experiment metadata, sample annotations, file listings, and quality scores based on replication and completeness. The workflow includes gene symbol disambiguation and a three-tier quality assessment system that flags single-replicate studies or sparse metadata. Useful when you need to find RNA-seq or microarray data for specific tissues or conditions before committing to a download. The skill prioritizes experiments with three or more biological replicates and complete raw plus processed data, which saves time filtering through low-quality submissions.
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-expression-data-retrieval