A Memory Efficient Algorithm for Structural Alignment of RNAs with Embedded Simple Pseudoknots

Thomas K. F. Wong, Y. Chiu, T. Lam, S. Yiu
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引用次数: 3

Abstract

In this paper, we consider the problem of structural alignment of a target RNA sequence of length n and a query RNA sequence of length m with known secondary structure that may contain embedded simple pseduoknots. The best known algorithm for solving this problem (Dost et al. [13]) runs in O(mn4) time with space complexity of O(mn3), which requires too much memory making it infeasible for comparing ncRNAs (non-coding RNAs) with length several hundreds or more. We propose a memory efficient algorithm to solve the same problem. We reduce the space complexity to O(mn2 + n3) while maintaining the same time complexity of Dost et al.’s algorithm. Experimental reslts show that our algorithm is feasible for comparing ncRNAs of length more than 500. Availability: The source code of our program is available upon request.
嵌入简单伪结rna结构比对的高效记忆算法
在本文中,我们考虑了长度为n的目标RNA序列和长度为m的具有已知二级结构的查询RNA序列的结构比对问题,这些二级结构可能包含嵌入的简单伪多结。解决该问题的最著名的算法(Dost等人,[13])运行时间为0 (mn4),空间复杂度为0 (mn3),这需要太多的内存,使得比较长度为数百或更多的ncrna(非编码rna)变得不可行。我们提出了一种高效存储算法来解决同样的问题。我们将空间复杂度降低到O(mn2 + n3),同时保持了与Dost等人算法相同的时间复杂度。实验结果表明,该算法对于长度大于500的ncrna的比较是可行的。可用性:我们的程序的源代码是可要求的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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