In this paper we define a new problem, motivated by computational biology, LCSk aiming at finding the maximal number of k length substrings, matching in both input string while preserving their order of appearance in the input strings. The traditional LCS definition is a spacial case of our problem, where k = 1. We provide an algorithm, solving the general case in O(n2) time, where n is the length of the input, equaling the time required for the special case of k = 1. The space requirement is O(kn). In order to enable backtracking of the solution O(n2) space is needed. © 2013 Springer-Verlag.
CITATION STYLE
Benson, G., Levy, A., & Shalom, B. R. (2013). Longest common subsequence in k length substrings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8199 LNCS, pp. 257–265). https://doi.org/10.1007/978-3-642-41062-8_26
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