DocumentCode
1151592
Title
Perfect Sorting by Reversals Is Not Always Difficult
Author
Bérard, Sèverine ; Bergeron, Anne ; Chauve, Cedric ; Paul, Christophe
Author_Institution
Departement de Mathematiqus et d´´Informatique Appliquees, INRA, Toulouse
Volume
4
Issue
1
fYear
2007
Firstpage
4
Lastpage
16
Abstract
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
Keywords
biology computing; cellular biophysics; genetics; molecular biophysics; polynomials; sorting; X chromosomes; genome combinatorial structure; human; mouse; pairwise rearrangement; polynomial time; rat; reversals; signed permutations; sorting; synteny blocks; Bioinformatics; Biological cells; Biology computing; Computer architecture; Genomics; Helium; Humans; Mice; Polynomials; Sorting; Evolution scenarios; common intervals.; reversals; Algorithms; Animals; Computational Biology; Evolution, Molecular; Gene Rearrangement; Genes, X-Linked; Genome; Genome, Human; Genomics; Humans; Mice; Models, Genetic; Rats; Synteny;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2007.1011
Filename
4104455
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