A factor-(1.408 + ε) approximation for sorting unsigned genomes by reciprocal translocations

Haitao Jiang, Lusheng Wang, Binhai Zhu*, Daming Zhu

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

5 Citations (Scopus)

Abstract

Sorting genomes by translocations is a classic combinatorial problem in genome rearrangements. The translocation distance for signed genomes can be computed exactly in polynomial time, but for unsigned genomes the problem becomes NP-hard and the current best approximation ratio is 1.5 + ε. In this paper, we investigate the problem of sorting unsigned genomes by translocations. Firstly, we propose a tighter lower bound of the optimal solution by analyzing some special sub-permutations; then, by exploiting the two well-known algorithms for approximating the maximum independent set on graphs with a bounded degree and for set packing with sets of bounded size, we devise a new polynomial-time approximation algorithm, improving the approximation ratio to 1.408 + ε, where ε = O(1/log n).
Original languageEnglish
Pages (from-to)166-180
JournalTheoretical Computer Science
Volume607
DOIs
Publication statusPublished - 23 Nov 2015

Research Keywords

  • Approximation algorithms
  • Computational genomics
  • Genome rearrangement
  • NP-hardness

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