Minimum common string partition revisited

  • Authors:
  • Haitao Jiang;Binhai Zhu;Daming Zhu;Hong Zhu

  • Affiliations:
  • Department of Computer Science, Montana State University, Bozeman, USA 59717-3880 and School of Computer Science and Technology, Shandong University, Jinan, China;Department of Computer Science, Montana State University, Bozeman, USA 59717-3880;School of Computer Science and Technology, Shandong University, Jinan, China;College of Software, East China Normal University, Shanghai, China

  • Venue:
  • Journal of Combinatorial Optimization
  • Year:
  • 2012

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Abstract

Minimum Common String Partition (MCSP) has drawn much attention due to its application in genome rearrangement. In this paper, we investigate three variants of MCSP: MCSP c , which requires that there are at most c elements in the alphabet; d-MCSP, which requires the occurrence of each element to be bounded by d; and x-balanced MCSP, which requires the length of blocks being in range (n/k驴x,n/k+x), where n is the length of the input strings, k is the number of blocks in the optimal common partition and x is a constant integer. We show that MCSP c is NP-hard when c驴2. As for d-MCSP, we present an FPT algorithm which runs in O 驴((d!)2k ) time. As it is still unknown whether an FPT algorithm only parameterized on k exists for the general case of MCSP, we also devise an FPT algorithm for the special case x-balanced MCSP parameterized on both k and x.