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e-Science, caGrid, and Translational Biomedical Research
Saltz, J. Kurc, T. Hastings, S. Langella, S. Oster, S. Ervin, D. Sharma, A. Pan, T. Gurcan, M. Permar, J. Ferreira, R. Payne, P. Catalyurek, U. Caserta, E. Leone, G. Ostrowski, M.C. Madduri, R. Foster, I. Madhavan, S. Buetow, K.H. Shanbhag, K. Siegel, E.

This paper appears in: Computer
Publication Date: Nov. 2008
Volume: 41, Issue: 11
On page(s): 58-66
ISSN: 0018-9162
INSPEC Accession Number: 10301949
Digital Object Identifier: 10.1109/MC.2008.459
Current Version Published: 2008-11-07

Abstract
Translational research projects target a wide variety of diseases, test many different kinds of biomedical hypotheses, and employ a large assortment of experimental methodologies. Diverse data, complex execution environments, and demanding security and reliability requirements make the implementation of these projects extremely challenging and require novel e-Science technologies.

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