enrichr-kg

is a Knowledge Graph.

Enrichr-KG is a comprehensive knowledge graph that integrates gene set enrichment analysis libraries from Enrichr, connecting genes to biological terms, pathways, diseases, drugs, and other functional annotations across multiple domains and species to enable multi-layered biological discovery and hypothesis generation.

Domains

biomedical, genomics, systems biology, drug discovery, biological systems

License

CC BY 4.0

Homepage

enrichr-kg

Repository

GitHub

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
enrichr-kg.portal Enrichr-KG Explorer enrichr-kg GraphicalInterface http Interactive web interface for explori...
enrichr-kg.api Enrichr-KG API api ProgrammingInterface http API endpoints for programmatic access...
enrichr-kg.graph Enrichr-KG Neo4j Database ❔ GraphProduct neo4j Neo4j graph database containing integ...

Details

Enrichr-KG

Enrichr-KG is a comprehensive knowledge graph that bridges multiple gene set enrichment analysis libraries from the Enrichr platform. The knowledge graph integrates over 200 gene set libraries spanning diverse biological domains including pathways, diseases, drugs, cell types, tissues, and functional annotations.

Key Features

Comprehensive Integration

  • Integrates gene set libraries from Enrichr covering multiple biological domains
  • Connects genes to functional terms, pathways, diseases, and drug perturbations
  • Spans multiple species with focus on human, mouse, and other model organisms
  • Contains millions of gene-term associations from curated and computational sources

Multi-Modal Connectivity

  • Gene-to-pathway associations from KEGG, Reactome, WikiPathways
  • Gene-disease relationships from DisGeNET, GWAS Catalog, and clinical databases
  • Drug-gene interactions from LINCS L1000, CREEDS, and chemical perturbation datasets
  • Cell type and tissue-specific expression patterns from single-cell and bulk RNA-seq

Interactive Exploration

  • Web-based interface for single and two-term graph searches
  • Shortest path analysis between biological entities
  • Neighborhood exploration around genes, diseases, drugs, and pathways
  • Customizable visualization and export capabilities

Applications

Drug Repurposing

  • Identify potential therapeutic targets through disease-gene-drug networks
  • Explore mechanism of action for existing drugs
  • Predict drug side effects and contraindications

Biomarker Discovery

  • Connect disease phenotypes to molecular signatures
  • Identify diagnostic and prognostic biomarkers
  • Explore tissue-specific disease mechanisms

Pathway Analysis

  • Multi-layered pathway enrichment across different databases
  • Cross-species pathway conservation analysis
  • Identification of pathway crosstalk and regulatory networks

Data Sources

Enrichr-KG integrates data from numerous high-quality biological databases and resources including pathway databases (KEGG, Reactome), disease databases (OMIM, DisGeNET), drug databases (DrugBank, LINCS), expression databases (GTEx, Human Protein Atlas), and many specialized functional annotation resources.

Automated Evaluation

Is this information incorrect or incomplete? Request an update.

Created: September 23, 2025 | Last modified: September 23, 2025