What organisms are supported by this skill?

The skill supports over 5000 species including Human (NCBI taxon 9606), Mouse (10090), Fly (7227), and many other model organisms.

What is the difference between functional and physical networks?

Functional networks include all evidence types like co-expression and text-mining, while physical networks focus specifically on direct protein binding interactions.

Does this skill help with protein identifier conversion?

Yes, it includes a mapping function that converts common gene names or external database IDs into canonical STRING identifiers for faster querying.

Can I perform Gene Ontology (GO) enrichment with this?

Yes, the enrichment function provides results for GO Biological Process, Molecular Function, and Cellular Component, as well as KEGG pathways and Pfam domains.

STRING Database Analysis

Name: STRING Database Analysis
Author: jcafazzo

byjcafazzo

0•

데이터 과학 및 ML

Analyzes protein-protein interaction networks and performs functional enrichment using the STRING database REST API.

This skill provides a comprehensive interface for Claude to interact with the STRING database, covering over 59 million proteins and 20 billion interactions across 5,000+ species. It enables automated bioinformatics workflows including gene identifier mapping, interaction network retrieval, and statistical analysis of protein clusters. Users can perform functional enrichment across Gene Ontology, KEGG, and Pfam databases, generate network visualizations, and test for significantly enriched functional modules, making it an essential tool for systems biology and proteomics research.

주요 기능

01Multi-protein interaction network retrieval with confidence thresholds

020 GitHub stars

03Identifier mapping for gene/protein names across 5000+ species

04PPI enrichment testing to validate functional connectivity

05Network visualization with evidence-based coloring and actions

06Functional enrichment analysis (GO, KEGG, Pfam, InterPro)

사용 사례

01Interpreting lists of differentially expressed proteins from experiments

02Generating pathway-centric network visualizations for research documentation

03Discovering novel interaction partners and expanding known protein networks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jcafazzo/thewolfondchair.ca string-database

For use in Claude.ai and ChatGPT

주요 기능

01Multi-protein interaction network retrieval with confidence thresholds

020 GitHub stars

03Identifier mapping for gene/protein names across 5000+ species

04PPI enrichment testing to validate functional connectivity

05Network visualization with evidence-based coloring and actions

06Functional enrichment analysis (GO, KEGG, Pfam, InterPro)

사용 사례

01Interpreting lists of differentially expressed proteins from experiments

02Generating pathway-centric network visualizations for research documentation

03Discovering novel interaction partners and expanding known protein networks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jcafazzo/thewolfondchair.ca string-database

For use in Claude.ai and ChatGPT