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TERANODE XDA:
Providing the Foundation to Unify Experiment Data
The distributed and complex nature of R&D data makes it extremely difficult for scientists to get the information they need to make informed decisions. The efficacy and safety of the compounds, diagnostics, and therapies developed depend on experiment data, yet traditional informatics solutions lack the flexibility and openness to solve the data integration and access challenge. Whether driven by new
initiatives such as translational medicine or new technologies such as biomarkers, product safety, project schedules, and development costs will increasingly depend on accurate and timely access to experiment data across labs.

TERANODE XDA is a powerful platform that integrates with your existing IT infrastructure to manage R&D experiment data and workflow. TERANODE XDA allows scientists to automate lab experiments, manage data within and across laboratories, and unify disparate data across the enterprise, improving the speed and quality of R&D projects.

Flexible informatics for changing needs
Fit the solution to your needs
Easy access to trusted data with provenance
Integrate individual labs with the enterprise
Drive innovation with a sustainable cost structure
TERANODE XDA INCLUDES:
Design and Automate Laboratory and In-silico Experiments
Graphically build protocols for automation or biological models for simulation with drag-and-drop ease
Deliver Secure Collaboration, Unification and Reuse
Provide web-enabled repository for managing and accessing data within project teams or across labs
Integrate Your Enterprise
Easily extend your enterprise with developer tools that integrate existing systems, analytics and instrumentation
TERANODE XDA BENEFITS:
TERANODE XDA Benefits: Tackling Change, Complexity, and Fragmentation
TERANODE XDA gives scientists the agility and scalability needed to help manage changing and diverse data sets:
  • Links experiment data to visualizations and analytic routines, allowing scientists to rapidly interpret results and make changes on-the-fly.
  • Indexes data in a virtual repository, making compound, sample, and pathway data shareable and searchable on file servers and databases.
  • Automates experiment workflow and integrates data across instruments and databases, eliminating manual data management tasks.
  • Eliminates programming of schemas, simulation models, data management rules, and workflow, reducing informatics costs and timelines.
  • Improves data integrity within labs and remote collaborators by eliminating manual data entry along with the need to import and export spreadsheets.
Experimental Design Automation White Paper
Bridging information gaps in the fragmented informatics landscape

–Mike Swenson Life Sciences Insights