Bounds for Parametric Sequence Comparison

  • Authors:
  • David Fernandez-Baca;Timo Seppalainen;Giora Slutzki

  • Affiliations:
  • -;-;-

  • Venue:
  • SPIRE '99 Proceedings of the String Processing and Information Retrieval Symposium & International Workshop on Groupware
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

We consider the problem of computing a global alignment between two or more sequences subject to varying mismatch and indel penalties. We prove a tight \mathbound on the worst-case number of distinct optimum alignments for two sequences of length n as the parameters are varied. This refines a \mathupper bound by Gusfield et al. Our lower bound requires an unbounded alphabet. For strings over a binary alphabet, we prove a \mathlower bound. For the parametric global alignment of \mathsequences under sum-of-pairs scoring we prove a \mathupper bound on the number of distinct optimality regions and a \mathlower bound. Based on experimental evidence, we conjecture that for two random sequences, the number of optimality regions is approximately \mathwith high probability.