Abstract
In this paper we present a more efficient algorithm for comparison of minisatellites which has complexity O(n’3+ m’3 + mn’2+ nm’2 +mn) where n and m are the lengths of the maps and n’ and m’ are the sizes of run-length encoded maps. We show that this algorithm makes a significant improvement for the real biological data, dividing the computing time by a factor 30 on a significant set of data.
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Behzadi, B., Steyaert, JM. (2004). The Minisatellite Transformation Problem Revisited: A Run Length Encoded Approach. In: Jonassen, I., Kim, J. (eds) Algorithms in Bioinformatics. WABI 2004. Lecture Notes in Computer Science(), vol 3240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30219-3_25
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DOI: https://doi.org/10.1007/978-3-540-30219-3_25
Publisher Name: Springer, Berlin, Heidelberg
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