e-Science, caGrid, and translational biomedical research

Joel Saltz, Tahsin Kurc, Shannon Hastings, Stephen Langella, Scott Oster, David Ervin, Ashish Sharma, Tony Pan, Metin Gurcan, Justin Permar, Renato Ferreira, Philip Payne, Umit Catalyurek, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Ravi Madduri, Ian Foster, Subhashree Madhavan, Kenneth BuetowKrishnakant Shanbhag, Eliot Siegel

Research output: Contribution to journalArticle

12 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)58-66
Number of pages9
JournalComputer
Volume41
Issue number11
DOIs
StatePublished - 2008
Externally publishedYes

Keywords

  • Bioinformatics
  • caGrid
  • Cancer
  • Data models
  • Diseases
  • e-Science
  • Genetics
  • Genomics
  • Interoperability
  • Pattern templates
  • Translational biomedical research
  • Tumors

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

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., ... Siegel, E. (2008). e-Science, caGrid, and translational biomedical research. Computer, 41(11), 58-66. https://doi.org/10.1109/MC.2008.459