Abstract
A weighted biological sequence is a string in which a set of characters may appear at each position with respective probabilities of occurrence. We attempt to locate all the tandem repeats in a weighted sequence. By introducing the idea of equivalence classes in weighted sequences, we identify the tandem repeats of every possible length using an iterative partitioning technique, and present the O(n 2) time algorithm.
Corresponding author: Qing Guo, College of Computer Science, Zhejiang University, Hangzhou, China. Tel: 0086-571-88939701. Fax: 0086-571-88867185.
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Zhang, H., Guo, Q., Iliopoulos, C.S. (2012). Locating Tandem Repeats in Weighted Biological Sequences. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_17
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DOI: https://doi.org/10.1007/978-3-642-31837-5_17
Publisher Name: Springer, Berlin, Heidelberg
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