Efficient bounds for oriented chromosome inversion distance

John Kececioglu, David Sankoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Scopus citations

Abstract

We study the problem of comparing two circular chromosomes that have evolved by chromosome inversion, assuming that the order of corresponding genes is known, as well as their orientation. Determining the minimum number of inversions is equivalent to finding the minimum of reversals to sort a signed circular permutation, where a reversal takes an arbitrary substring of elements and reverses their order, as well as flipping their sign. We show that tight bounds on the minimum number of reversals can be found by simple and efficient algorithms.

Original languageEnglish (US)
Title of host publicationCombinatorial Pattern Matching - 5th Annual Symposium, CPM 1994, Proceedings
EditorsMaxime Crochemore, Dan Gusfield
PublisherSpringer-Verlag
Pages307-325
Number of pages19
ISBN (Print)9783540580942
DOIs
StatePublished - Jan 1 1994
Event5th Annual Symposium on Combinatorial Pattern Matching, CPM 1994 - Asilomar, United States
Duration: Jun 5 1994Jun 8 1994

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume807 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th Annual Symposium on Combinatorial Pattern Matching, CPM 1994
CountryUnited States
CityAsilomar
Period6/5/946/8/94

Keywords

  • Chromosome inversion
  • Genome rearrangements
  • Reversal distance
  • Sorting by signed reversals

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kececioglu, J., & Sankoff, D. (1994). Efficient bounds for oriented chromosome inversion distance. In M. Crochemore, & D. Gusfield (Eds.), Combinatorial Pattern Matching - 5th Annual Symposium, CPM 1994, Proceedings (pp. 307-325). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 807 LNCS). Springer-Verlag. https://doi.org/10.1007/3-540-58094-8_26