skip to main content
10.1145/1389095.1389151acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
research-article

An efficient probabilistic population-based descent for the median genome problem

Published: 12 July 2008 Publication History

Abstract

We present a novel population-based local search algorithm for the median genome problem. The primary result of this article is that this probabilistic approach significantly improves the performance of ancestral genome reconstruction compared to existing methods, making it possible to tackle problems where the contemporary genomes may contain many hundreds of markers. Moreover, our method is not limited to triples of genomes, and thus solves the median genome problem in its generality. We show that in real application cases the computational results are highly robust, suggesting that we can interpret the computed median genomes as candidates carrying the semantics of ancestral architectures.

References

[1]
D. A. Bader, B. Moret, and M. Yan. A linear-time algorithm for computing inversion distances between signed permutations with an experimental study. Journal of Computational Biology, 8(5):483--491, 2001.]]
[2]
M. Bernt, D. Merkle, and M. Middendorf. Genome rearrangement based on reversals that preserve conserved intervals. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3(3):275--288, 2006.]]
[3]
G. Bourque and P. A. Pevzner. Genome-scale evolution: Reconstructing gene orders in the ancestral species. Genome Research, 12:26--36, 2002.]]
[4]
D. Bryant. The complexity of the breakpoint median problem. Technical Report CRM2579, Centre de Recherches Mathematiques, Universite de Montreal, 1998.]]
[5]
A. Caprara. Formulations and complexity of multiple sorting by reversals. In S. Istrail, P. Pevzner, and M. Waterman, editors, Proceedings of the Third Annual International Conference on Computational Molecular Biology (RECOMB-99), pages 84--93, Lyon, France, 1999. ACM Press.]]
[6]
A. Caprara. The Reversal Median Problem. INFORMS J. on Computing, 15(1):93--113, 2003.]]
[7]
A. Goeffon, J.-M. Richer, and J.-K. Hao. Progressive tree neighborhood applied to the maximum parsimony problem. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 5(1):136--145, 2008.]]
[8]
S. Hannenhalli and P. Pevzner. Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals. In Proceedings of the 27th Annual ACM Symposium on the Theory of Computing, pages 178--189. ACM Press, 1995.]]
[9]
H. H. Hoos and T. St¨utzle. Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence). Morgan Kaufmann, 2004.]]
[10]
J. Meidanis and J. C. Setubal. Introduction to Computational Molecular Biology. PWS Publishing, 1997.]]
[11]
H. Muhlenbein and J. Zimmermann. Size of neighborhood more important than temperature for stochastic local search. In C. Cotta and J. I. van Hemert, editors, Proceedings of the 2000 Congress on Evolutionary Computation, volume 2, pages 1017--1024, 2000.]]
[12]
J. Nadeau and B. Taylor. Lengths of Chromosomal Segments Conserved since Divergence of Man and Mouse. Proceedings of the National Academy of Sciences of the United States of America, Part 1: Biological Sciences, 81(3):814--818, 1984.]]
[13]
J. M. Pasia, K. F. Doerner, R. F. Hartl, and M. Reimann. A population-based local search for solving a bi-objective vehicle routing problem. In C. Cotta and J. I. van Hemert, editors, EvoCOP, volume 4446 of Lecture Notes in Computer Science, pages 166--175. Springer, 2007.]]
[14]
I. Pe'er and R. Shamir. The median problems for breakpoints are NP-complete. Electronic Colloquium on Computational Complexity (ECCC), 5(071), 1998.]]
[15]
D. Sankoff and M. Blanchette. The median problem for breakpoints in comparative genomics. In COCOON '97: Proceedings of the Third Annual International Conference on Computing and Combinatorics, pages 251--264, London, UK, 1997. Springer-Verlag.]]
[16]
B. Selman, H. Levesque, and D. Mitchell. A new method for solving hard satisfiability problems. In Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92), pages 440--446, San Jose, CA, USA, 1992.]]
[17]
A. C. Siepel and B. M. E. Moret. Finding an optimal inversion median: Experimental results. In WABI '01: Proceedings of the First International Workshop on Algorithms in Bioinformatics, pages 189--203, London, UK, 2001. Springer-Verlag.]]

Cited By

View all
  • (2012)On pairwise distances and median score of three genomes under DCJBMC Bioinformatics10.1186/1471-2105-13-S19-S113:S19Online publication date: 19-Dec-2012
  • (2009)Swarming along the evolutionary branches sheds light on genome rearrangement scenariosProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1569935(241-246)Online publication date: 8-Jul-2009
  • (2009)Comparative genomics of protoploid SaccharomycetaceaeGenome Research10.1101/gr.091546.10919:10(1696-1709)Online publication date: 12-Jun-2009
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
July 2008
1814 pages
ISBN:9781605581309
DOI:10.1145/1389095
  • Conference Chair:
  • Conor Ryan,
  • Editor:
  • Maarten Keijzer
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. local search
  2. median genome problem
  3. probabilistic neighborhood

Qualifiers

  • Research-article

Conference

GECCO08
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2012)On pairwise distances and median score of three genomes under DCJBMC Bioinformatics10.1186/1471-2105-13-S19-S113:S19Online publication date: 19-Dec-2012
  • (2009)Swarming along the evolutionary branches sheds light on genome rearrangement scenariosProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1569935(241-246)Online publication date: 8-Jul-2009
  • (2009)Comparative genomics of protoploid SaccharomycetaceaeGenome Research10.1101/gr.091546.10919:10(1696-1709)Online publication date: 12-Jun-2009
  • (2009)Mining the Semantics of Genome Super-Blocks to Infer Ancestral ArchitecturesJournal of Computational Biology10.1089/cmb.2008.004616:9(1267-1284)Online publication date: Sep-2009

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media