KidneyGrid
Xingchen Chu, Andrew J. Lonie, Peter Harris, Sophie Thomas, Rajkumar Buyya · 2006
In this paper, we present a grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in separate laboratories around the world involved with human and animal kidney research. No single laboratory can develop these resources in isolation and the community of users should no longer need to be dependent upon the specific programming environment in which applications have been developed. This is a major innovation in life science and exploits the power of existing and planned high-bandwidth communications networks for collaborative research and for shared access to knowledge resources. The innovation is developed within a specialist community of renal scientists but will be transferable to any other field of research requiring interaction between published literature and databases, theoretical models and simulations and the formulation of effective experimental design.