ARIA

Seven Bridges ARIA™ is a centralized, high-throughput platform designed for genomic and phenotypic analysis at the million-participant scale. Built on top of the Seven Bridges Platform, ARIA enables researchers across biopharma, government, and academia to discover meaningful connections between genomics, health data, and biological knowledge — accelerating the path from raw data to transformative insights into disease mechanisms, novel therapeutics, and in silico disease models.

ARIA provides a browser-based, collaborative cloud computing ecosystem that combines over 550 tools and workflows — spanning NGS processing, GWAS, colocalization, and beyond — within a connected and secure environment. Its unprecedented scalability allows users to manage and create cohorts, apply complex statistical analyses, and extend insights for downstream research, all within a single end-to-end solution.

Core Capabilities

• Data Exploration and Query: Explore datasets to understand all available fields and select those of interest for your research team.
• Annotation and Biological Context: Define, explore, and visualize variant annotations to accelerate research and provide biological meaning to genomic findings.
• Robust and Flexible Algorithms: Leverage pre-built tools or bring your own tools and workflows to perform sophisticated pre- and post-association analyses, from association studies to colocalization and beyond.
• Data Management and Curation: Curate, harmonize, and integrate fields across modalities and datasets to establish a single source of truth.
• Integration and Customization: Connect with existing infrastructure and export insights to enterprise data warehouses or analytic solutions, ensuring interoperability across your ecosystem.
• Security and Access Management: Seven Bridges adheres to stringent security and compliance measures, ensuring client data remains safe and secure at all times.

Accelerate Speed to Insight

• Iterative data ingestion and familiar interfaces enable researchers to draw insights from data in weeks rather than months.
• Phenotype information is stored in a flexible and dynamic manner, allowing rapid exploration and selection of cohorts based on complex, compound variables and longitudinal data records.
• Schema standardization supports interoperability of genomic and clinical data housed across diverse geographical regions or between multiple entities.
• Programmatic and customizable visual interfaces enable researchers with diverse backgrounds to maximize data utility from feasibility study through complex association analysis.
• A robust workflow Software Development Kit (SDK) and interactive exploration tools provide complete control over downstream statistical analysis.

Realize the Million Genome Era

• A standardized format and novel compression approach delivers speed and enables data federation across locales while preserving cost effectiveness.
• Unprecedented ability to query, analyze, and visualize genomic variant data at the scale required to identify meaningful associations across the genome.
• Optimized support for multiple data modalities, enabling rich and comprehensive analysis environments.
• A robust framework for interpreting and integrating genetic variation in the context of hundreds of annotation sources.
• A variant data warehouse enables performant queries of whole genome data at scale, supporting aggregated visualizations, reports, direct programmatic interaction, and export for further analysis.

Connectivity and Interoperability

• Support for client-specific data models, enabling researchers to work with the standards they are already familiar with.
• Integration of diverse health data types and formats to provide a rich data exploration and analysis environment.
• Code-mapping and harmonization improve ease of use for diverse user groups.
• A suite of ETL processes allows rapid data ingestion and semi-automated data harmonization across different studies.

Demonstrated Performance

• ARIA users have achieved query time reductions of up to 99.8% compared to previous approaches.
• Data ingestion times have been reduced from days to hours, even when working with population-scale datasets.
• Typical performance improvements have been observed across common exploration and data preparation activities, including those required for preparing GWAS studies.

Seven Bridges also offers Professional Services and Consultative support, providing clients with deep population genomic expertise — from detailed quality analysis to data harmonization and optimization of analysis pipelines — delivering end-to-end support for managing genomic and phenotypic data ecosystems. ARIA is designed to integrate with the broader Seven Bridges product suite, including GRAF, RHEO, and the Seven Bridges Platform, and is suited for deployment across biopharma, NGS healthcare, government, and academic environments.