CoV2K

CoV2K maps and integrates SARS-CoV-2 mutations, variants, and reported effects into a harmonized graph-based knowledge base for computational analysis.

Key Features:

• Graph-Based Knowledge Representation: Organizes SARS-CoV-2 entities, mutations, and variant relationships in a graph structure to capture interconnected biological concepts.
• RESTful API for Querying: Provides a RESTful API to query single entities and traverse paths across relationships in the knowledge graph.
• Integration of Diverse Data Sources: Aggregates and harmonizes information from multiple public resources to address incompleteness and inconsistency in SARS-CoV-2 datasets.
• Focus on Mutation Effects and Variant Co-occurrence: Emphasizes characterization of individual mutation effects and patterns of co-occurrence within variants.

Scientific Applications:

• Monitoring Viral Evolution: Enables analysis of mutation patterns and variant emergence to support surveillance of SARS-CoV-2 evolutionary dynamics.
• Understanding Mutation Effects: Supports investigation of how specific mutations affect viral properties such as transmissibility, virulence, and immune escape.
• Facilitating Data Integration: Synthesizes disparate study results and public resource data to produce a more unified representation of the virus's genetic landscape.

Methodology:

Employs an abstract graph-based model to represent SARS-CoV-2 concepts and interactions and to drive data and knowledge integration across public resources.