Author :
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. ;
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.
Keywords :
biology computing; diseases; grid computing; medical computing; security of data; software reliability; biomedical hypotheses; caGrid; complex execution environment; diseases; diverse data; e-Science; experimental methodologies; reliability requirement; security requirement; translational biomedical research; Best practices; Biomedical informatics; Cancer; Data security; Diseases; Laboratories; Medical treatment; Project management; Software design; Testing; caGrid; e-Science; interoperability; pattern templates; translational biomedical research;
