We continue with the problem of sorting signed permutations by reversal. We first establish a new lower bound on the number of reversals that take the number of hurdles into account. At this point it is beneficial to review the definitions for bad and good components, simple and super hurdles, and a fortress. A new lower bound We will show that dβ(α) ≥ n+1 − cβ(α)+hβ(α). First note that any reversal ρ can “destroy ” at most two hurdles. If ρ is defined by two reality edges in the same component (whether hurdle or not), then it only affects that component. If ρ is defined by two reality edges in different components, then: (1) if both are hurldes, no hurdle can separate them and hence only these two hurdles are affected, (2) if non of them ...
Abstract Background A classical problem in studying genome rearrangements is understanding the serie...
A number of fields, including the study of genome rearrangements and the design of interconnection n...
Abstract. Genome rearrangement algorithms are powerful tools to analyze gene orders in molecular evo...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
The rearrangement distance between single-chromosome genomes can be estimated as the minimum number ...
Abstract. This paper investigates the problem of conservation of com-binatorial structures in genome...
AbstractThe problem of sorting signed permutations by reversals is inspired by genome rearrangement ...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
AbstractAn important problem in computational biology is the genome rearrangement using reversals an...
For estimating the evolutionary distance between genomes of two different organisms, many sorting pe...
AbstractSorting permutations by reversals is one of the most challenging problems related with the a...
During evolution, global mutations may modify the gene order in a genome. Such mutations are commonl...
The problem of estimating evolutionary distance from differences in gene order has been distilled to...
Genome rearrangements are global mutations that change large stretches of DNA sequence throughout ge...
Sorting signed permutations by reversals is a fundamental problem in computationial molecular biolog...
Abstract Background A classical problem in studying genome rearrangements is understanding the serie...
A number of fields, including the study of genome rearrangements and the design of interconnection n...
Abstract. Genome rearrangement algorithms are powerful tools to analyze gene orders in molecular evo...
International audienceThis paper proposes new algorithms for computing pairwise rearrangement scenar...
The rearrangement distance between single-chromosome genomes can be estimated as the minimum number ...
Abstract. This paper investigates the problem of conservation of com-binatorial structures in genome...
AbstractThe problem of sorting signed permutations by reversals is inspired by genome rearrangement ...
Motivated by the problem in computational biology of reconstructing the series of chromosome inversi...
AbstractAn important problem in computational biology is the genome rearrangement using reversals an...
For estimating the evolutionary distance between genomes of two different organisms, many sorting pe...
AbstractSorting permutations by reversals is one of the most challenging problems related with the a...
During evolution, global mutations may modify the gene order in a genome. Such mutations are commonl...
The problem of estimating evolutionary distance from differences in gene order has been distilled to...
Genome rearrangements are global mutations that change large stretches of DNA sequence throughout ge...
Sorting signed permutations by reversals is a fundamental problem in computationial molecular biolog...
Abstract Background A classical problem in studying genome rearrangements is understanding the serie...
A number of fields, including the study of genome rearrangements and the design of interconnection n...
Abstract. Genome rearrangement algorithms are powerful tools to analyze gene orders in molecular evo...