4.5 Review

Translational informatics: enabling high-throughput research paradigms

Journal

PHYSIOLOGICAL GENOMICS
Volume 39, Issue 3, Pages 131-140

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/physiolgenomics.00050.2009

Keywords

biomedical research

Funding

  1. NIH [P01-CA-081534, R01-CA-134232, UL1-RR-025755, R01-LM-009533, UL1-RR-026314, R01-GM-077185, R01-GM-069589, R01-HL-073087]

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Payne PRO, Embi PJ, Sen CK. Translational informatics: enabling high-throughput research paradigms. Physiol Genomics 39: 131-140, 2009. First published September 8, 2009; doi: 10.1152/physiolgenomics.00050.2009.-A common thread throughout the clinical and translational research domains is the need to collect, manage, integrate, analyze, and disseminate large-scale, heterogeneous biomedical data sets. However, well-established and broadly adopted theoretical and practical frameworks and models intended to address such needs are conspicuously absent in the published literature or other reputable knowledge sources. Instead, the development and execution of multidisciplinary, clinical, or translational studies are significantly limited by the propagation of silos of both data and expertise. Motivated by this fundamental challenge, we report upon the current state and evolution of biomedical informatics as it pertains to the conduct of high-throughput clinical and translational research and will present both a conceptual and practical framework for the design and execution of informatics-enabled studies. The objective of presenting such findings and constructs is to provide the clinical and translational research community with a common frame of reference for discussing and expanding upon such models and methodologies.

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