Improvement of Performance of MegaBlast Algorithm for DNA Sequence Alignment
Guang-Ming Tan(谭光明); Ning-Hui Sun(孙凝晖); Sheng-Zhong Feng(冯圣中); Dong-Bo Bu(卜东波); Lin Xu(徐琳)
刊名Journal of Computer Science and Technology
2006
卷号21期号:6页码:973-978
关键词Sequence Alignment Blast Megablast I/o Intensive Parallelization
英文摘要MegaBlast is one of the most important programs in NCBI BLAST (Basic Local Alignment Search Tool) toolkits. However, MegaBlast is computation and I/O intensive. It consumes a great deal of memory which is proportional to the size of the query sequences set and subject (database) sequences set of product. This paper proposes a new strategy for optimizing MegaBlast. The new strategy exchanges the query and subject sequences sets, and builds a hash table based on new subject sequences. It overlaps I/O with computation, shortens the overall time and reduces the cost of memory, since the memory here is only proportional to the size of subject sequences set. The optimized algorithm is suitable to be parallelized in cluster systems. The parallel algorithm uses query segmentation method. As our experiments shown, the parallel program which is implemented with MPI has fine scalability.
语种英语
公开日期2010-11-04
内容类型期刊论文
源URL[http://ictir.ict.ac.cn/handle/311040/845]  
专题中国科学院计算技术研究所期刊论文_2006年英文
推荐引用方式
GB/T 7714
Guang-Ming Tan,Ning-Hui Sun,Sheng-Zhong Feng,et al. Improvement of Performance of MegaBlast Algorithm for DNA Sequence Alignment[J]. Journal of Computer Science and Technology,2006,21(6):973-978.
APA Guang-Ming Tan,Ning-Hui Sun,Sheng-Zhong Feng,Dong-Bo Bu,&Lin Xu.(2006).Improvement of Performance of MegaBlast Algorithm for DNA Sequence Alignment.Journal of Computer Science and Technology,21(6),973-978.
MLA Guang-Ming Tan,et al."Improvement of Performance of MegaBlast Algorithm for DNA Sequence Alignment".Journal of Computer Science and Technology 21.6(2006):973-978.
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