biocontext-knowledge-queries

Query 49 biomedical databases for gene annotation, pathways, literature, and drugs.

32|5|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/Starlitnightly/omicclaw --skill biocontext-knowledge-queries
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: biocontext-knowledge-queries
Source: https://github.com/Starlitnightly/omicclaw/tree/main/src/omicverse_skills/skills/biocontext-knowledge
Command: npx skills add https://github.com/Starlitnightly/omicclaw --skill biocontext-knowledge-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides programmatic access to 49 biomedical databases, enabling users to quickly look up gene/protein annotations, query pathway databases, find cell type markers, search biomedical literature, and explore drug-disease associations.

Core Features & Use Cases

  • Gene/Protein Annotation: Retrieve function, domains, GO terms, and structures for genes/proteins.
  • Pathway & Literature Search: Find pathways associated with genes and search biomedical literature.
  • Cell Type Markers: Identify known marker genes for specific cell types and organs.
  • Drug & Disease Associations: Explore links between genes, diseases, and drugs, and search clinical trials.
  • Use Case: Annotate a list of differentially expressed genes with their known functions, associated pathways, and relevant literature.

Quick Start

Use the biocontext-knowledge-queries skill to query UniProt for the function of the gene symbol 'TP53' in humans.

Frequently Asked Questions about biocontext-knowledge-queries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find gene annotations and protein structures for differentially expressed genes?

To find gene annotations and protein structures, you can query databases like UniProt and AlphaFold using a unified Python API to retrieve functions, domains, and structural data for specific gene symbols such as TP53.

Can I search biomedical literature and pathway databases at the same time?

Yes, you can search biomedical literature and pathway databases simultaneously by querying PubMed and Reactome through a single API to retrieve associated pathways and relevant research papers for your genes of interest.

What is the best way to identify cell type markers for single-cell omics data annotation?

The best way to identify cell type markers is by querying PanglaoDB through a Python API, which allows you to retrieve known marker genes for specific cell types and organs to annotate your omics data.

Does this biomedical knowledge integration tool support drug discovery and disease association queries?

Yes, this tool supports drug discovery by querying OpenTargets to explore links between genes, diseases, and drugs, enabling users to search clinical trials and map drug-disease associations effectively.

How many biomedical databases can I access for pathway analysis and literature search?

You can access 49 biomedical databases for pathway analysis and literature search, including STRING, GO, and Reactome, facilitating comprehensive knowledge integration for annotating biological data.

What are the limitations of using a unified Python API for querying multiple biomedical databases?

A limitation of using a unified API for querying multiple databases is that it requires programmatic access and Python knowledge, and may not expose every advanced or database-specific query feature available natively.