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The Longest Common Subsequence Problem for Arc-Annotated Sequences

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Combinatorial Pattern Matching (CPM 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1848))

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Abstract

Arc-annotated sequences are useful in representing the structural information of RNA and protein sequences. Recently, the longest arc-preserving common subsequence problem has been introduced in [[6],[7]] as a framework for studying the similarity of arc-annotated sequences. In this paper, we consider arc-annotated sequences with various arc structures and present some new algorithmic and complexity results on the longest arc-preserving common subsequence problem. Some of our results answer an open question in [[6],[7]] and some others improve the hardness results in [[6],[7]].

Supported in part by NSERC Research Grant OGP0046613, a CITO grant, and a UCR startup grant.

Supported in part by NSERC Research Grant OGP0046613 and a CITO grant.

Supported in part by NSERC Research Grant OGP0046506 and a CGAT grant.

Supported in part by NSERC Research Grant OGP0046373.

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© 2000 Springer-Verlag Berlin Heidelberg

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Jiang, T., Lin, GH., Ma, B., Zhang, K. (2000). The Longest Common Subsequence Problem for Arc-Annotated Sequences. In: Giancarlo, R., Sankoff, D. (eds) Combinatorial Pattern Matching. CPM 2000. Lecture Notes in Computer Science, vol 1848. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45123-4_15

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  • DOI: https://doi.org/10.1007/3-540-45123-4_15

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  • Print ISBN: 978-3-540-67633-1

  • Online ISBN: 978-3-540-45123-5

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