{"title":"A Memory Efficient Algorithm for Structural Alignment of RNAs with Embedded Simple Pseudoknots","authors":"Thomas K. F. Wong, Y. Chiu, T. Lam, S. Yiu","doi":"10.1142/9781848161092_0012","DOIUrl":null,"url":null,"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.","PeriodicalId":74513,"journal":{"name":"Proceedings of the ... Asia-Pacific bioinformatics conference","volume":"29 1","pages":"89-100"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... Asia-Pacific bioinformatics conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9781848161092_0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.