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About
Seven Bridges is a comprehensive cloud-based biomedical data analysis platform designed to power genomics research at scale. Built for biopharma organizations, government agencies, and academic institutions, the platform provides a full suite of tools spanning data storage, cloud computation, collaborative research environments, and access to the world's largest public genomic datasets. The platform includes several specialized products: ARIA for data management and clinical research workflows, GRAF (Graph Reference Alignment and Analysis Framework) for advanced genome reference analysis across diverse populations, RHEO for clinical genomics pipelines, and the core Seven Bridges Platform for orchestrating complex bioinformatics workflows. Researchers can leverage pre-built tools and algorithms alongside custom pipelines with fully reproducible computation. Key capabilities include secure, cloud-based team collaboration across institutions, omics data exploration with novel bioinformatics workflows, streamlined clinical trial research, and enterprise-grade security and compliance features that meet strict regulatory requirements. Seven Bridges has partnered with top-tier organizations including Bristol-Myers Squibb, Becton Dickinson, and the National Cancer Institute, and has supported landmark studies such as PCAWG. Now operating under the Velsera brand, Seven Bridges continues to serve computational biologists, bioinformaticians, and data scientists working on population-scale genomics, biomarker discovery, NGS-based healthcare applications, and clinical research pipelines. It is the go-to platform for organizations seeking to accelerate the path from raw experimental genomic data to actionable clinical insights and new therapeutics.
Key Features
- Cloud-Based Bioinformatics Platform: Provides scalable, reproducible cloud computing with centralized data storage and collaborative research tools accessible to distributed teams.
- GRAF Graph Genome Reference: Graph-based genome reference framework supporting analysis of underrepresented populations, large human population studies, and personalized genomic graphs.
- Access to Public Genomic Datasets: Immediate access to the world's largest collection of public genomic datasets alongside proprietary data, enabling comprehensive comparative research.
- End-to-End Bioinformatics Workflows: Pre-built and customizable bioinformatics algorithms and workflows that take research from raw experimental data to clinical insights and biomarker discovery.
- Enterprise Security & Compliance: Comprehensive, integrated security features designed to protect genomic information and meet or surpass regulatory requirements for clinical and research data.
Use Cases
- Biopharma R&D teams using the platform to analyze large genomic datasets and accelerate biomarker discovery for new drug candidates.
- Government and national genomics programs building purpose-built data ecosystems for population-scale genomic research and data sharing across institutions.
- Academic research groups running complex bioinformatics workflows on cloud infrastructure to study cancer genomes and identify therapeutic targets.
- Clinical research organizations managing NGS-based healthcare application development and streamlining the path from clinical trial data to diagnostics.
- Transplant care providers integrating the bioinformatics ecosystem to support critical turnaround times for clinical genomic workflows such as AlloSure.
Pros
- Unmatched Genomic Dataset Access: Researchers gain immediate access to more public genomic datasets and bioinformatics tools than virtually any other platform, enabling richer analyses.
- Reproducible and Scalable Computation: Cloud-native infrastructure ensures bioinformatics workflows are reproducible at any scale, reducing variability across research teams and studies.
- Cross-Institution Collaboration: Secure cloud environment enables seamless data sharing and collaboration across biopharma companies, academic institutions, and government agencies.
- Proven Enterprise Partnerships: Validated by partnerships with leading organizations such as Bristol-Myers Squibb, NCI, and Becton Dickinson, demonstrating reliability at enterprise scale.
Cons
- Enterprise-Focused Pricing: Designed for large organizations and research institutions, making it cost-prohibitive for individual researchers or small labs with limited budgets.
- Steep Learning Curve: The depth and complexity of bioinformatics workflows and platform features require significant domain expertise and onboarding time.
- Niche Use Case: Highly specialized for genomics and biomedical research, making it unsuitable for organizations outside life sciences or clinical research.
Frequently Asked Questions
What is Seven Bridges used for?
Seven Bridges is used for end-to-end genomic data analysis, including cancer research, drug development, biomarker discovery, clinical trial management, and population-scale genomic studies. It provides cloud infrastructure, workflows, and dataset access for bioinformatics research.
What products does Seven Bridges offer?
Seven Bridges offers several products: ARIA for data and clinical research management, GRAF for graph-based genome reference analysis, RHEO for clinical genomics pipelines, and the core Seven Bridges Platform for orchestrating bioinformatics workflows at scale.
Who are the primary users of Seven Bridges?
The platform is built for biopharma companies, government health agencies, academic research institutions, computational biologists, bioinformaticians, and data scientists working on genomics and precision medicine projects.
Is Seven Bridges still operating, or has it been rebranded?
Seven Bridges has transitioned to operate under the Velsera brand. Velsera continues to offer all of Seven Bridges' products and services, along with new integrated solutions designed to further accelerate biomedical research.
How does Seven Bridges ensure data security and compliance?
Seven Bridges provides comprehensive, integrated security features specifically designed for genomic and clinical data, meeting or surpassing regulatory requirements. This includes secure cloud storage, access controls, and compliance with industry standards relevant to healthcare research.
