kegg-database

Topics in the source

• KEGG Database
• Overview
• When to Use This Skill
• Quick Start
• Core Operations
• 1. Database Information (kegginfo)
• 2. Listing Entries (kegglist)
• 3. Searching (keggfind)

KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis and molecular interaction networks. Important: KEGG API is made available only for academic use by academic users. This skill should be used when querying pathways, genes, compounds, enzymes, diseases, and drugs across multiple organisms using KEGG's REST API. The skill provides: 1. Python helper functions (scripts/keggapi.py) for all KEGG REST API operations 2. Comprehensive reference documentation (references/keggreference.md) with detailed API specifications When users request KEGG data, determine which operation is needed and use the appropriate function from scripts/keggapi.py. Retrieve metadata and statistics about KEGG databases. When to use: Understanding database structure, checking available data, getting release information. Usage: Common databases: kegg, pathway, module, brite, genes, genome, compound, glycan, reaction, enzyme, disease, drug List entry identifiers and names from KEGG databases. When to use: Getting all pathways for an organism, listing genes, retrieving compound catalogs. Usage: Common organism codes: hsa (human), mmu (mouse), dme (f

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