bio-database-evidence

# Bio Database Evidence ## Use This Skill For Use this skill when the main task is biological database lookup, annotation, or evidence gathering across one or more biological sources: - Gene annotation, identifiers, RefSeq, Ensembl IDs, orthologs, VEP, GO, and genomic coordinates. - Variant clinical significance, VUS interpretation support, ClinVar review status, cancer mutations, and COSMIC evidence. - GWAS Catalog trait associations, rs IDs, p-values, summary statistics, and genetic epidemiology evidence. - Pathway mapping, ID conversion, KEGG pathways, Reactome enrichment, disease pathways, and pathway evidence. - Target-disease association evidence, tractability, safety, known drugs, and Open Targets evidence. - Protein structure evidence from AlphaFold DB or RCSB PDB, including UniProt IDs, mmCIF/PDB downloads, pLDDT, PAE, and structure metadata. - Protein-protein interaction evidence, STRING networks, hub proteins, and enrichment evidence. - Reference single-cell data lookup from CELLxGENE Census when the user asks for census metadata or expression data, not full downstream analysis. - Cross-database biological ID mapping and evidence tables across multiple resources. ## Do Not Use This Skill For - Single-cell RNA-seq analysis, clustering, UMAP, marker genes, cell annotation, AnnData/h5ad container editing, or scVI/scANVI batch-correction planning. Use `scanpy`. - Bulk RNA-seq differential expression. Use `pydeseq2`. - BAM, SAM, CRAM, VCF, pileup, coverage, or regi...