CVD Atlas

CVD Atlas compiles curated multi-omics data, gene-disease associations, datasets, and prior knowledge from existing resources to enable comprehensive cardiovascular disease research.

Key Features:

• Gene-Disease Associations: Contains 215,333 associations gathered from 308 publications, covering 190 diseases and 44 traits across multiple omics levels.
• Multi-Omics Datasets: Integrates 652 datasets and information from 7 databases for comprehensive CVD analysis.
• Interactive Knowledge Graph: Integrates disease-gene associations for querying and displaying relationships.
• Analysis Tools: Provides two types of analysis tools for investigating cardiovascular disease data.

Scientific Applications:

• Cardiovascular Disease Mechanism Research: Supports investigation of underlying mechanisms and molecular characteristics of CVD using multi-omics approaches.
• Gene-Disease Relationship Discovery: Facilitates exploration of associations between genes, diseases, and traits across multiple omics levels.
• Data Integration and Mining: Enables synthesis of curated knowledge from manual curation, large-scale data analysis, and existing databases.

Methodology:

CVD Atlas compiles knowledge and information from manual curation, large-scale data analysis, and existing databases, utilizing multi-omics data to understand cardiovascular diseases comprehensively.