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	Practices of grid computing for genome alternative splicing analysis
	Yu, Huashan ; Lei, Kong
	2007
英文摘要	Alternative splicing analysis represents a typical computing pattern in bioinformatics. In such a problem's domain, there are massive and irregular batch jobs. It is critical to improve such a computation's efficiency and reduce the cost. Based on computational Grid technologies, a solution has been devised. The solution consists of a Grid service model for representing heterogeneous resources, a WS Service-Group for dynamically discovering as many appropriate resources as possible, and a WS Service-Group for performing massive, irregular batch jobs on distributed resources in a parallel and optimized way. The solution has been implemented in Harmonia, a computational Grid software platform developed by Peking University. Experiments has approved the solutions feasibility and practicability, also has presented some hints for improving its efficiency.; Computer Science, Hardware & Architecture; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/GCC.2007.97
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153407]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yu, Huashan,Lei, Kong. Practices of grid computing for genome alternative splicing analysis. 2007-01-01.

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