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The Minisatellite Transformation Problem Revisited: A Run Length Encoded Approach

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Book cover Algorithms in Bioinformatics (WABI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3240))

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Abstract

In this paper we present a more efficient algorithm for comparison of minisatellites which has complexity O(n3+ m3 + mn2+ nm2 +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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© 2004 Springer-Verlag Berlin Heidelberg

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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

  • Print ISBN: 978-3-540-23018-2

  • Online ISBN: 978-3-540-30219-3

  • eBook Packages: Springer Book Archive

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