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Author Notes:

We thank Laura Esserman and Nola Hylton at the University of California, San Francisco, the PIs for the I-SPY trial project; Howard Fine at the NCI, the PI for the GMDI and Rembrandt projects; and Stephen Chanock, NCI, the PI for the CGEMS (GWAS) project.

The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the US government.

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Research Funding:

Our work was supported in part by the NCI caGrid Developer grant 79077CBS10, the State of Ohio BRTT Program grants ODOD AGMT TECH 04-049 and BRTT02-0003, the NHLBI R24 HL085343 grant, the NIH U54 CA113001 and R01 LM009239 grants, and NSF grants CNS-0403342 and CNS-0615155; by the NCI and NIH under contract no. N01-CO-12400; by the US Department of Energy under contract DE-AC02-06CH11357; and by Children’s Neuroblastoma Cancer Foundation.

e-Science, caGrid, and Translational Biomedical Research

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Journal Title:

Computer

Volume:

Volume 41, Number 11

Publisher:

, Pages 58-66

Type of Work:

Article | Post-print: After Peer Review

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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