The Community for Technology Leaders
Green Image
Issue No. 01 - January/February (2012 vol. 9)
ISSN: 1545-5963
pp: 161-168
T. K. F. Wong , Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China
Y. S. Chiu , Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China
T. W. Lam , Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China
S. M. Yiu , Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China
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 simple pseudoknots or embedded simple pseudoknots. The best known algorithm for solving this problem runs in O(mn3) time for simple pseudoknot or O(mn4) time for embedded simple pseudoknot with space complexity of O(mn3) for both structures, which require too much memory making it infeasible for comparing noncoding RNAs (ncRNAs) with length several hundreds or more. We propose memory efficient algorithms to solve the same problem. We reduce the space complexity to O(n3) for simple pseudoknot and O(mn2 + n3) for embedded simple pseudoknot while maintaining the same time complexity. We also show how to modify our algorithm to handle a restricted class of recursive simple pseudoknot which is found abundant in real data with space complexity of O(mn2 + n3) and time complexity of O(mn4). Experimental results show that our algorithms are feasible for comparing ncRNAs of length more than 500.
INDEX TERMS
Complexity theory, Bioinformatics, Memory management, Genomics, RNA, Computational biology, Heuristic algorithms,memory efficient algorithm., Noncoding RNAs, pseudoknot, structural alignment
CITATION
T. K. F. Wong, Y. S. Chiu, T. W. Lam, S. M. Yiu, "Memory Efficient Algorithms for Structural Alignment of RNAs with Pseudoknots", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. , pp. 161-168, January/February 2012, doi:10.1109/TCBB.2011.66
187 ms
(Ver )