Practices of Grid Computing for Genome Alternative Splicing Analysis
Alternative splicing analysis represents a typical computing pattern in bioinformatics. In such a problems domain, there are massive and irregular batch jobs. It is critical to improve such a computations 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 ServiceGroup 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.
YU Huashan Kong Lei
School of Electronic Engineering and Computer Science, Peking University, Beijing,100871,P.R.China Center for Bioinformatics, National Laboratory of Plant Genetic Engineering and Protein Engineering
国际会议
第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)
乌鲁木齐
英文
622-629
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）