A new dynamic programming algorithm for multiple sequence alignment

  • Authors:
  • Jean-Michel Richer;Vincent Derrien;Jin-Kao Hao

  • Affiliations:
  • LERIA - University of Angers, Angers Cedex 01, France;LERIA - University of Angers, Angers Cedex 01, France;LERIA - University of Angers, Angers Cedex 01, France

  • Venue:
  • COCOA'07 Proceedings of the 1st international conference on Combinatorial optimization and applications
  • Year:
  • 2007

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Abstract

Multiple sequence alignment (MSA) is one of the most basic and central tasks for many studies in modern biology. In this paper, we present a new progressive alignment algorithm for this very difficult problem. Given two groups A and B of aligned sequences, this algorithm uses Dynamic Programming and the sum-of-pairs objective function to determine an optimal alignment C of A and B. The proposed algorithm has a much lower time complexity compared with a previously published algorithm for the same task [11]. Its performance is extensively assessed on the well-known BAliBase benchmarks and compared with several state-of-the-art MSA tools.