Towards Optimally Solving the LONGEST COMMON SUBSEQUENCE Problem for Sequences with Nested Arc Annotations in Linear Time

  • Authors:
  • Jochen Alber;Jens Gramm;Jiong Guo;Rolf Niedermeier

  • Affiliations:
  • -;-;-;-

  • Venue:
  • CPM '02 Proceedings of the 13th Annual Symposium on Combinatorial Pattern Matching
  • Year:
  • 2002

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Abstract

We present exact algorithms for the NP-complete Longest Common Subsequence problem for sequences with nested arc annotations, a problem occurring in structure comparison of RNA. Given two sequences of length at most n and nested arc structure, our algorithm determines (if existent) in time O(3.31k1+k2驴n) an arc-preserving subsequence of both sequences, which can be obtained by deleting (together with corresponding arcs) k1 letters from the first and k2 letters from the second sequence. Thus, the problem is fixed-parameter tractable when parameterized by the number of deletions. This complements known approximation results which give a quadratic time factor-2-approximation for the general and polynomial time approximation schemes for restricted versions of the problem. In addition, we obtain further fixed-parameter tractability results for these restricted versions.