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Improved bounds on sorting by length-weighted reversals
Authors:Michael A Bender  Dongdong Ge  Simai He  Haodong Hu  Ron Y Pinter  Steven Skiena  Firas Swidan  
Affiliation:aDepartment of Computer Science, SUNY Stony Brook, Stony Brook, NY 11794-4400, USA;bDepartment of Management Science and Engineering, Stanford University, Stanford, CA 94305, USA;cDepartment of System Engineering and Engineering Management, Chinese University of Hong Kong, Hong Kong, China;dDepartment of Computer Science, Technion – Israel Institute of Technology, Haifa 32000, Israel
Abstract:We study the problem of sorting binary sequences and permutations by length-weighted reversals. We consider a wide class of cost functions, namely f()=α for all αgreater-or-equal, slanted0, where is the length of the reversed subsequence. We present tight or nearly tight upper and lower bounds on the worst-case cost of sorting by reversals. Then we develop algorithms to approximate the optimal cost to sort a given input. Furthermore, we give polynomial-time algorithms to determine the optimal reversal sequence for a restricted but interesting class of sequences and cost functions. Our results have direct application in computational biology to the field of comparative genomics.
Keywords:Sorting by reversals  Potential functions  Dynamic programming  Sorting 0/1 sequences by reversals  Modeling genome rearrangements
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