kegg-database

You can query KEGG pathway data programmatically using Python helper functions that wrap the KEGG REST API. This Skill provides kegg_info, kegg_list, kegg_find, and kegg_get operations to fetch pathway and gene information with input validation and batch support.

Yes, you can map genes to pathways and perform cross-database ID conversions using the kegg_conv and kegg_link operations. The Skill supports organism-specific data and batch queries up to 10 entries for reliable academic-use integration.

The best way to automate fetching human pathway maps is building a Python pipeline using the kegg_get and kegg_link functions. You can retrieve pathway maps and cross-reference genes to KO groups for downstream enrichment analysis.

This KEGG API integration supports batch queries for up to 10 entries. It implements input validation and error handling across all operations including kegg_find, kegg_get, kegg_conv, and kegg_ddi to ensure reliable data retrieval.

You need a Python wrapper for KEGG REST to remove manual HTTP handling and enable direct integration into Python workflows. It provides validated access to pathway and gene data without managing raw API endpoints or response parsing.

KEGG REST API operations are limited to academic use and batch queries of up to 10 entries. The Skill implements error handling for all seven operations but users should anticipate rate limits and organism-specific data availability constraints during pathway analysis.