string-database
This skill provides Python functions to query the STRING database for protein-protein interactions across 5000+ species. It handles identifier mapping, network retrieval with confidence thresholds, functional enrichment analysis, and generates network visualizations. The documentation includes practical examples for common bioinformatics workflows.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-string-database
Repository
Skill path: scientific-skills/string-database
This skill provides Python functions to query the STRING database for protein-protein interactions across 5000+ species. It handles identifier mapping, network retrieval with confidence thresholds, functional enrichment analysis, and generates network visualizations. The documentation includes practical examples for common bioinformatics workflows.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack, Backend, Data / AI.
Target audience: Research teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install string-database into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding string-database to shared team environments
- Use string-database for research workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.