Printer-friendly version

Translational research holds huge promise to drive the advancement of molecular-based diagnostics and enable early disease detection and personalized medicine. But, the very essence of translational research, being highly collaborative and multi-disciplinary, creates many systems challenges for research organizations.

It means clinical data must be integrated from many sources and marshaled into the research domain. It often involves many collection sites, biorepositories, core technology labs and instruments generating larger data sets across multiple sciences and institutions.

To solve the above challenges, GenoLogics provides integrated informatics solutions for translational research initiatives:

• Biomarker Discovery Programs - Systems for researchers using advanced and often multiple technologies to discover biomarkers.

• Translational Validation Studies - Systems to manage cohorts of participants, collect specimen and clinical data, and integrate genomics datasets for biostatistics analysis.

• Enterprise / Multi-Institutional Translational Research - Systems to support multiple research groups and institutions working in a collaborative translation research paradigm.

Our end-to-end view of translational research starts from collecting phenotypical data and federating biobanks to managing science experiments and enabling analysis. GenoLogics provides the informatics platform and tools to seamlessly manage this process and create the environment necessary to conduct translational research.

To learn more about the challenges facing researchers and how adopting a common informatics platform can address some of those challenges, listen to Enabling Translational Research Informatics.

For more information, download our Solutions to Translational Research Informatics overview, or learn about our solutions for life sciences labs and biorepositories.