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Sorting by Translocations Via Reversals Theory

  • Michal Ozery-Flato
  • Ron Shamir
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4205)

Abstract

The understanding of genome rearrangements is an important endeavor in comparative genomics. A major computational problem in this field is finding a shortest sequence of genome rearrangements that “sorts” one genome into another. In this paper we focus on sorting a multi-chromosomal genome by translocations. We reveal new relationships between this problem and the well studied problem of sorting by reversals. Based on these relationships, we develop two new algorithms for sorting by translocations, which mimic known algorithms for sorting by reversals: a score-based method building on Bergeron’s algorithm, and a recursive procedure similar to the Berman-Hannenhalli method. Though their proofs are more involved, our procedures for translocations match the complexities of the original ones for reversals.

Keywords

Genome Rearrangement Recursive Algorithm Reciprocal Translocation Polynomial Algorithm Discrete Apply Mathematic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Michal Ozery-Flato
    • 1
  • Ron Shamir
    • 1
  1. 1.School of Computer ScienceTel-Aviv UniversityTel AvivIsrael

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