
Cloud platform for secure management, analysis, and collaboration on multiomics and clinical health data, enabling precision medicine and research.
Vendor
DNAnexus
Company Website

The DNAnexus Precision Health Data Platform is a cloud-based solution designed for biomedical organizations, academic medical centers, and biopharmaceutical companies to securely manage, analyze, and collaborate on multimodal health data. It supports the integration of multiomics (genomics, transcriptomics, proteomics) and clinical datasets, providing a centralized repository for data storage, workflow automation, and access control. The platform enables rapid development and deployment of bioinformatics pipelines, supports multiple workflow languages (Nextflow, WDL), and offers a library of pre-built tools and applications. Users can perform cohort analysis, data visualization, and leverage AI and machine learning for predictive analytics. The platform is purpose-built for scalability, compliance, and auditability, facilitating collaborative research, secondary analysis, and clinical reporting. It is trusted by leading healthcare providers, pharmaceutical companies, and genome centers for advancing precision medicine across oncology, rare diseases, cardiology, and other complex conditions.
Key Features
Multiomics and Multimodal Data Management Centralized storage and integration of genomics, transcriptomics, proteomics, and clinical data.
- Structured databases for effortless querying
- Linkage to medical records and phenotypic data
Bioinformatics Workflow Automation Rapid development and deployment of analysis pipelines.
- Support for Nextflow, WDL, and Docker integration
- Pre-built tools and reusable pipelines
AI and Machine Learning Integration Deploy predictive analytics and accelerate insight generation.
- Secure environment for algorithm execution
- Automated variant interpretation and clinical reporting[5]
Cohort Analysis and Data Visualization Powerful tools for exploring and visualizing large datasets.
- Cohort browser for slicing and dicing data
- Integrated JupyterLab notebooks
Collaboration and Data Sharing Secure environment for internal and external collaboration.
- Access controls and compliance features
- Data provenance tracking and auditability
Scalability and Flexibility High-availability cloud infrastructure for large-scale data analysis.
- Automated sample and data tracking
- Optimized compute and storage resources
Benefits
Accelerated Scientific Discovery Enables faster research and clinical insights.
- Reduces pipeline deployment and analysis time
- Supports rapid iteration and validation
Improved Data Security and Compliance Ensures data privacy and regulatory compliance.
- Trusted by FDA and top pharmaceutical companies
- Comprehensive access controls and audit trails
Enhanced Collaboration and Efficiency Facilitates teamwork across organizations and disciplines.
- Democratizes data access for translational research
- Streamlines data sharing and project management