Leveraging the national cyberinfrastructure for biomedical research. LeDuc, R., Vaughn, M., Fonner, J., M., Sullivan, M., Williams, J., G., Blood, P., D., Taylor, J., & Barnett, W. Journal of the American Medical Informatics Association, 21(2):195-199, 2014. Paper doi abstract bibtex In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the 'Big Data' challenges facing the medical informatics community can be efficiently handled using nationalscale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community.
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title = {Leveraging the national cyberinfrastructure for biomedical research},
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abstract = {In the USA, the national cyberinfrastructure refers to a system of research supercomputer and other IT facilities and the high speed networks that connect them. These resources have been heavily leveraged by scientists in disciplines such as high energy physics, astronomy, and climatology, but until recently they have been little used by biomedical researchers. We suggest that many of the 'Big Data' challenges facing the medical informatics community can be efficiently handled using nationalscale cyberinfrastructure. Resources such as the Extreme Science and Discovery Environment, the Open Science Grid, and Internet2 provide economical and proven infrastructures for Big Data challenges, but these resources can be difficult to approach. Specialized web portals, support centers, and virtual organizations can be constructed on these resources to meet defined computational challenges, specifically for genomics. We provide examples of how this has been done in basic biology as an illustration for the biomedical informatics community.},
bibtype = {article},
author = {LeDuc, Richard and Vaughn, Matthew and Fonner, John M. and Sullivan, Michael and Williams, James G. and Blood, Philip D. and Taylor, James and Barnett, William},
doi = {10.1136/amiajnl-2013-002059},
journal = {Journal of the American Medical Informatics Association},
number = {2}
}
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