GenomicKB

GenomicKB integrates genomic, epigenomic, transcriptomic, and 4D nucleome data into a knowledge graph database to enable integrative querying and analysis of relationships among human genomic entities.

Key Features:

• Knowledge graph architecture: Employs a knowledge graph architecture implemented as a graph database.
• Data integration: Integrates and consolidates genomic datasets and annotations from over 30 consortia and portals.
• Scale: Contains 347 million genomic entities, 1.36 billion relations, and 3.9 billion entity and relation properties.
• Supported domains: Covers human genome, epigenome, transcriptome, and 4D nucleome data.
• Graph queries: Supports customized graph pattern queries with specific constraints on entities and relations.
• Interconnections: Represents and links interconnections among genomic entities and disparate datasets.
• Multi-entity relationship analysis: Enables analyses that span multiple genomic entity types and their relationships.

Scientific Applications:

• Integrative genomics: Integrative analysis across genome, epigenome, transcriptome, and 4D nucleome datasets.
• Relationship mapping: Querying and mapping relationships among genomic entities to support cross-dataset discovery.
• Cross-consortium analyses: Comparative analyses and knowledge discovery using consolidated data from over 30 consortia and portals.
• Complex multi-entity queries: Performing complex queries that involve multiple entity types and relation constraints.

Methodology:

Implemented as a graph database using a knowledge graph architecture that integrates datasets and annotations and supports customized graph pattern queries constrained on entities and relations.