Query KEGG REST API for pathway, gene, compound, and reaction data.
npx skills add https://github.com/OwnLabAI/ownlab --skill kegg-database-ownlabai
Please help me install this Agent Skill. Skill: kegg-database Source: https://github.com/OwnLabAI/ownlab/tree/main/mart/skills/scientific-skills/kegg-database Command: npx skills add https://github.com/OwnLabAI/ownlab --skill kegg-database-ownlabai
KEGG REST API access is provided to enable programmatic retrieval and integration of pathway, gene, compound, and reaction data for bioinformatics workflows.
Query KEGG data directly by calling the Python helper functions in scripts/kegg_api.py to perform common operations.
High-intent search queries and answers about installing and using this skill.
You can retrieve KEGG pathway and gene data by calling Python helper functions that wrap the KEGG REST API, enabling programmatic access for bioinformatics workflows. Functions like kegg_get and kegg_list fetch detailed entries and database listings directly.
You can convert external database IDs to KEGG gene IDs using the kegg_conv function. The tool enforces a 10-entry batch limit per REST API request to ensure successful ID conversion without hitting server constraints.
The best way to find drug interactions in KEGG reference pathways is using the kegg_ddi function. It queries the KEGG drug interaction database via REST endpoints to retrieve targeted interaction entries for bioinformatics analysis.
Yes, this KEGG REST API integration handles HTTP errors gracefully and supports cross-links between compounds, reactions, and pathways. The kegg_link function retrieves these cross-references to map data across organism-specific and reference databases.
Your KEGG API search may return fewer entries than expected because the integration enforces a 10-entry batch limit per request. This constraint ensures stable REST API communication but requires pagination for larger dataset retrieval.
You need KEGG REST API access for pathway exploration when building reproducible analysis pipelines, aggregating data across organisms, or mapping genes to pathways programmatically. Manual searches cannot scale for data integration workflows requiring automated retrieval.
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