Leading Together:
Merck and DNAnexus Driving Biopharmaceutical Excellence
Catalyze Merck’s R&D productivity with powerful data management, analysis, and collaboration tools that uplevel the value of multimodal precision health data.
Handpicked Resources for Merck
Purpose-Built Trusted Research Environments: Facilitating Precision Health Breakthroughs in Biopharma
With a Scalable Cloud Foundation, City of Hope’s POSEIDON Powers a Sea Change in Personalized Cancer Care
City of Hope’s POSEIDON precision oncology platform leverages the DNAnexus technology stack to ensure a consistent analytical workflow for breast cancer biomarkers in clinical trials.
Forrester Study: The Total Economic Impact™ of the DNAnexus Platform
What Merck Gains
Increase the value of your clinical trial data
With DNAnexus you can unify and catalog and provide controlled access to your high-value data, allowing stakeholders across your organization to inform activities ranging from label expansion to pricing strategy.
Achieve GxP-compliance quickly and painlessly
Companies avoid the time and cost associated with GxP validation with DNAnexus’ out-of-the-box, IT-ready security and regulatory compliance.
Enjoy the innovation benefits without compromising IP
Engage with internal and external collaborators in dedicated trusted research environments pre-loaded with tools for collaborative analysis, and secured with access controls and a full-audit trail.
What DNAnexus offers
Secure Data Management
Easily consume, perform quality control, and clean a wide variety of data types, including omics, imaging and phenotypic datasets. Weave together multimodal datasets for deeper analysis.
Powerful Data Analysis
DNAnexus lets you choose from a comprehensive library of bioinformatics tools or build and deploy your own. Get a head start on analysis using our extensive tools library covering multiple data types and precision health applications or, create your own tools and keep them stored for future use.
Seamless Collaboration
Share precision health data, tools, analyses, and JupyterLab notebooks efficiently with local and global collaboratorswhile managing access, security, and compliance with data sovereignty requirements. Make data findable, accessible and shareable–internally and externally–without compromising security.
