
pmid: 17277409
We propose new algorithms for computing pairwise rearrangement scenarios that conserve the combinatorial structure of genomes. More precisely, we investigate the problem of sorting signed permutations by reversals without breaking common intervals. We describe a combinatorial framework for this problem that allows us to characterize classes of signed permutations for which one can compute, in polynomial time, a shortest reversal scenario that conserves all common intervals. In particular, we define a class of permutations for which this computation can be done in linear time with a very simple algorithm that does not rely on the classical Hannenhalli-Pevzner theory for sorting by reversals. We apply these methods to the computation of rearrangement scenarios between permutations obtained from 16 synteny blocks of the X chromosomes of the human, mouse, and rat.
Evolution Scenarios, Synteny, Evolution, Molecular, Mice, Genes, X-Linked, Animals, Humans, Gene Rearrangement, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Genome, Models, Genetic, Genome, Human, Common Intervals, Computational Biology, Genomics, Rats, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Reversals, Algorithms
Evolution Scenarios, Synteny, Evolution, Molecular, Mice, Genes, X-Linked, Animals, Humans, Gene Rearrangement, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Genome, Models, Genetic, Genome, Human, Common Intervals, Computational Biology, Genomics, Rats, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Reversals, Algorithms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 39 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
