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Updated skill descrtipotions to resolve possible conflicts in their use
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name: kegg-database
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description: "Query KEGG REST API for pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion, compound structures, for systems biology and enrichment analysis."
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description: "Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control."
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# KEGG Database
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name: pubmed-database
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description: "Search PubMed biomedical literature. Advanced queries with Boolean/MeSH/field tags, E-utilities API access, batch processing, citation management, for literature review and systematic analysis."
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description: "Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations."
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# PubMed Database
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name: uniprot-database
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description: "Query UniProt protein database REST API. Search proteins by name/gene/accession, retrieve sequences (FASTA), annotations, ID mapping, Swiss-Prot/TrEMBL, GO terms, for protein analysis."
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description: "Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control."
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# UniProt Database
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