AbstractWe study the problem of sorting binary sequences and permutations by length-weighted reversals. We consider a wide class of cost functions, namely f(ℓ)=ℓα for all α⩾0, where ℓ 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
AbstractGu et al. gave a 2-approximation for computing the minimal number of inversions and transpos...
Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem ...
International audienceThe traditional approach for the problems of sorting permutations by rearrange...
Classical sorting by reversals uses the unit-cost model, that is, each reversal consumes an equal co...
The problem of estimating evolutionary distance from differences in gene order has been distilled to...
Sorting signed permutations by reversals is a fundamental problem in computationial molecular biolog...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
The rearrangement distance between single-chromosome genomes can be estimated as the minimum number ...
During evolution, global mutations may modify the gene order in a genome. Such mutations are commonl...
Genome rearrangements are global mutations that change large stretches of DNA sequence throughout ge...
In comparative genomics studies, finding a minimum length sequences of reversals, so-called sorting ...
Abstract. In comparative genomics studies, finding a minimum length sequences of reversals, so calle...
Abstract. Genome rearrangement algorithms are powerful tools to analyze gene orders in molecular evo...
AbstractGenome rearrangement algorithms are powerful tools to analyze gene orders in molecular evolu...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
AbstractGu et al. gave a 2-approximation for computing the minimal number of inversions and transpos...
Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem ...
International audienceThe traditional approach for the problems of sorting permutations by rearrange...
Classical sorting by reversals uses the unit-cost model, that is, each reversal consumes an equal co...
The problem of estimating evolutionary distance from differences in gene order has been distilled to...
Sorting signed permutations by reversals is a fundamental problem in computationial molecular biolog...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
The rearrangement distance between single-chromosome genomes can be estimated as the minimum number ...
During evolution, global mutations may modify the gene order in a genome. Such mutations are commonl...
Genome rearrangements are global mutations that change large stretches of DNA sequence throughout ge...
In comparative genomics studies, finding a minimum length sequences of reversals, so-called sorting ...
Abstract. In comparative genomics studies, finding a minimum length sequences of reversals, so calle...
Abstract. Genome rearrangement algorithms are powerful tools to analyze gene orders in molecular evo...
AbstractGenome rearrangement algorithms are powerful tools to analyze gene orders in molecular evolu...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
AbstractGu et al. gave a 2-approximation for computing the minimal number of inversions and transpos...
Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem ...
International audienceThe traditional approach for the problems of sorting permutations by rearrange...