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Exact pairwise alignment of megabase genome biological sequences using a novel z-align parallel strategy

机译:使用新型z-align平行策略对兆碱基基因组生物学序列进行精确的成对比对

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Pairwise sequence alignment is a basic operation in bioinformatics that is performed thousands of times, in a daily basis. The exact methods proposed in the literature have quadratic time complexity. For this reason, heuristic methods such as BLAST are widely used. Nevertheless, it is known that exact methods present better sensitivity, leading to better results. To obtain exact results faster, many parallel strategies have been proposed but most of them fail to align huge biological sequences. This happens because not only the quadratic time must be considered but also the space should be reduced. In this paper, we evaluate the performance and sensibility of z-align, a parallel exact strategy that runs in user-restricted memory space. The results obtained in a 64-processor cluster show that two sequences of size 23MBP (Mega Base Pairs) and 24MBP, respectively, were successfully aligned with z-align. Also, in order to align two 3MBP sequences, a speedup of 34.35 was achieved. Finally, when comparing z-align with BLAST, we can see that the z-align alignments are longer and have a higher score.
机译:成对序列比对是生物信息学中的一项基本操作,每天执行数千次。文献中提出的精确方法具有二次时间复杂度。因此,诸如BLAST的启发式方法被广泛使用。然而,众所周知,精确的方法具有更好的灵敏度,导致更好的结果。为了更快地获得准确的结果,已经提出了许多并行策略,但是大多数策略无法比对巨大的生物学序列。发生这种情况是因为不仅必须考虑二次时间,而且还应减少空间。在本文中,我们评估了z-align的性能和敏感性,z-align是一种在用户受限的内存空间中运行的并行精确策略。在64个处理器的群集中获得的结果表明,分别用z-align成功比对了大小为23MBP(兆碱基对)和24MBP的两个序列。同样,为了比对两个3MBP序列,实现了34.35的加速。最后,当将z-align与BLAST进行比较时,我们可以看到z-align更长,得分更高。

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