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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 H. Buetow
  • Krishnakant Shanbhag, Eliot Siegel
  • Ohio State University
  • Universidade Federal de Minas Gerais
  • Argonne National Laboratory
  • The University of Chicago
  • National Institutes of Health
  • University of Maryland, Baltimore

Research output: Contribution to specialist publicationArticle

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
Pages58-66
Number of pages9
Volume41
No11
Specialist publicationComputer
DOIs
StatePublished - 2008

Keywords

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

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