Query the KEGG REST API for biological pathways, genes, and compounds.
npx skills add https://github.com/yf8578/clawomics --skill query-kegg-yf8578
Please help me install this Agent Skill. Skill: query-kegg Source: https://github.com/yf8578/clawomics/tree/main/skills/query-kegg Command: npx skills add https://github.com/yf8578/clawomics --skill query-kegg-yf8578
This Skill allows users to query the KEGG database for information on biological pathways, genes, and compounds, making complex biological data more accessible.
Use the query-kegg skill to find pathways related to 'glycolysis'.
High-intent search queries and answers about installing and using this skill.
To find biological pathways, you can query the KEGG REST API using keywords like 'apoptosis' or 'metabolism' to discover relevant pathway IDs. This allows you to identify specific metabolic or signaling pathways for further molecular biology research.
Yes, you can retrieve a list of genes associated with a specific KEGG pathway ID. By querying the KEGG database with a pathway ID, you obtain a comprehensive gene list to identify key genes involved in that biological pathway.
You can get detailed gene information from the KEGG database by searching for genes by name or retrieving details for genes within specific pathways. This facilitates bioinformatics research by providing molecular insights into gene functions across organisms.
Yes, the tool supports organism-specific queries and ID conversions. You can target your KEGG REST API searches to specific organisms and convert identifiers to facilitate cross-database bioinformatics analysis.
To explore KEGG compounds and gene lists for disease research, query the KEGG REST API for relevant pathways and retrieve associated genes. This helps researchers understand the metabolic pathways and key genes involved in specific diseases.
Yes, you need the Python requests library to query biological pathways and genes from KEGG. The Skill uses requests to interact with the KEGG REST API, enabling you to retrieve pathway IDs, gene details, and compound information.
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