e-Science, caGrid, and Translational Biomedical Research

Authors:
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
Affiliations:
Emory University;Emory University;Ohio State University;Ohio State University;Ohio State University;Ohio State University;Ohio State University;Ohio State University;Ohio State University;Ohio State University;Universidade Federal de Minas Gerais;Ohio State University;Ohio State University;Ohio State University;Ohio State University;Argonne National Laboratory;Argonne National Laboratory;University of Chicago;National Cancer Institute;National Cancer Institute;National Cancer Institute;University of Maryland
Venue:
Computer
Year:
2008

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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.