Please use this identifier to cite or link to this item: https://doi.org/10.1109/HPCASIA.2004.1324060
Title: The application of grid technology in systems biology: Parameter estimation
Authors: Dhar, P.K. 
Issue Date: 2004
Citation: Dhar, P.K. (2004). The application of grid technology in systems biology: Parameter estimation. Proceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004 : 370-377. ScholarBank@NUS Repository. https://doi.org/10.1109/HPCASIA.2004.1324060
Abstract: The Systems biology is a recent scientific discipline that arose from the need to combine biology with mathematics, physics, chemistry and computer science. Partly driven by the availability of a morass of data and partly driven by the availability of computational resources, the field of systems biology was reborn few years ago. Recently, a number of computational methods have been developed to model cellular pathways and networks. One of the major issues in building mathematical models of cellular processes is the difficulty of estimating parameters. Due to a wide numerical range within which parameters operate, it takes a large number of iterations to find the biologically relevant values. In this paper I will describe how grid technology can be used to salvage this situation and help in building robust in-silico models.
Source Title: Proceedings - Seventh International Conference on High Performance Computing and Grid in Asia Pacific Region, HPCAsia 2004
URI: http://scholarbank.nus.edu.sg/handle/10635/107794
ISBN: 076952138X
DOI: 10.1109/HPCASIA.2004.1324060
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