Physiol. Genomics Information on EB 2010
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Physiol. Genomics 39: 131-140, 2009. First published September 8, 2009; doi:10.1152/physiolgenomics.00050.2009
1094-8341/09 $8.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
39/3/131    most recent
00050.2009v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Google Scholar
Right arrow Articles by Payne, P. R. O.
Right arrow Articles by Sen, C. K.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Payne, P. R. O.
Right arrow Articles by Sen, C. K.
Received 11 March 2009; accepted in final form 1 September 2009.
Physiological Genomics 39:131-140 (2009)
Copyright © 2009 the American Physiological Society © 2009 American Physiological Society

Review

Translational informatics: enabling high-throughput research paradigms

Philip R. O. Payne 1,2, Peter J. Embi 4,5 and Chandan K. Sen 2,3

1Department of Biomedical Informatics,
2Center for Clinical and Translational Science, and
3Department of Surgery, The Ohio State University, Columbus; and
4Center for Health Informatics and
5Department of Medicine, University of Cincinnati, Cincinnati, Ohio

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.

biomedical research






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2009 by the American Physiological Society.