Sorting by weighted reversals, transpositions, and inverted transpositions

Martin Bader1, Enno Ohlebusch

  • 1Faculty of Engineering and Computer Sciences, University of Ulm, Ulm, Germany. martin.bader@uni-ulm.de

Summary

This study introduces a 1.5-approximation algorithm for genome rearrangement problems. It efficiently sorts signed permutations using weighted reversals, transpositions, and inverted transpositions for evolutionary analysis.

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