Skip to main content

A Practical Approximation Algorithm for Solving Massive Instances of Hybridization Number

  • Conference paper
Algorithms in Bioinformatics (WABI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 7534))

Included in the following conference series:

Abstract

Reticulate events play an important role in determining evolutionary relationships. The problem of computing the minimum number of such events to explain discordance between two phylogenetic trees is a hard computational problem. In practice, exact solvers struggle to solve instances with reticulation number larger than 40. For such instances, one has to resort to heuristics and approximation algorithms. Here we present the algorithm CycleKiller which is the first approximation algorithm that can produce solutions verifiably close to optimality for instances with hundreds or even thousands of reticulations. Theoretically, the algorithm is an exponential-time 2-approximation (or 4-approximation in its fastest mode). However, using simulations we demonstrate that in practice the algorithm runs quickly for large and difficult instances, producing solutions within one percent of optimality. An implementation of this algorithm, which extends the theoretical work of [14], has been made publicly available.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Albrecht, B., Scornavacca, C., Cenci, A., Huson, D.H.: Fast computation of minimum hybridization networks. Bioinformatics 28(2), 191–197 (2012)

    Article  Google Scholar 

  2. Baroni, M., Grünewald, S., Moulton, V., Semple, C.: Bounding the number of hybridisation events for a consistent evolutionary history. Mathematical Biology 51, 171–182 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bordewich, M., Linz, S., St. John, K., Semple, C.: A reduction algorithm for computing the hybridization number of two trees. Evolutionary Bioinformatics 3, 86–98 (2007)

    Google Scholar 

  4. Bordewich, M., Semple, C.: Computing the minimum number of hybridization events for a consistent evolutionary history. Discrete Applied Mathematics 155(8), 914–928 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  5. Chen, Z.-Z., Wang, L.: Hybridnet: a tool for constructing hybridization networks. Bioinformatics 26(22), 2912–2913 (2010)

    Article  Google Scholar 

  6. Chen, Z.-Z., Wang, L.: Algorithms for reticulate networks of multiple phylogenetic trees. IEEE/ACM Transactions on Computational Biology and Bioinformatics 9(2), 372–384 (2012)

    Article  Google Scholar 

  7. Collins, J., Linz, S., Semple, C.: Quantifying hybridization in realistic time. Journal of Computational Biology 18, 1305–1318 (2011)

    Article  MathSciNet  Google Scholar 

  8. Flum, J., Grohe, M.: Parameterized Complexity Theory. Springer (2006)

    Google Scholar 

  9. Gascuel, O. (ed.): Mathematics of Evolution and Phylogeny. Oxford University Press, Inc. (2005)

    Google Scholar 

  10. Gascuel, O., Steel, M. (eds.): Reconstructing Evolution: New Mathematical and Computational Advances. Oxford University Press, USA (2007)

    MATH  Google Scholar 

  11. Huson, D.H., Rupp, R., Scornavacca, C.: Phylogenetic Networks: Concepts, Algorithms and Applications. Cambridge University Press (2011)

    Google Scholar 

  12. Huson, D.H., Scornavacca, C.: Dendroscope 3 - a program for computing and drawing rooted phylogenetic trees and networks (2011) (in preparation), Software, http://www.dendroscope.org

  13. Huson, D.H., Scornavacca, C.: A survey of combinatorial methods for phylogenetic networks. Genome Biology and Evolution 3, 23–35 (2011)

    Article  Google Scholar 

  14. Kelk, S.M., van Iersel, L.J.J., Lekić, N., Linz, S., Scornavacca, C., Stougie, L.: Cycle killer.. qu’est ce que c’est? on the comparative approximability of hybridization number and directed feedback vertex set. Submitted, preliminary version arXiv:1112.5359v1 (math.CO)

    Google Scholar 

  15. Nakhleh, L.: Evolutionary phylogenetic networks: models and issues. In: The Problem Solving Handbook for Computational Biology and Bioinformatics. Springer (2009)

    Google Scholar 

  16. Rodrigues, E.M., Sagot, M.F., Wakabayashi, Y.: The maximum agreement forest problem: Approximation algorithms and computational experiments. Theoretical Computer Science 374(1-3), 91–110 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  17. Whidden, C.: http://kiwi.cs.dal.ca/Software/RSPR

  18. Whidden, C., Beiko, R.G., Zeh, N.: Fixed-parameter and approximation algorithms for maximum agreement forests. Submitted, preliminary version arXiv:1108.2664v1 (q-bio.PE)

    Google Scholar 

  19. Whidden, C., Beiko, R.G., Zeh, N.: Fast FPT Algorithms for Computing Rooted Agreement Forests: Theory and Experiments. In: Festa, P. (ed.) SEA 2010. LNCS, vol. 6049, pp. 141–153. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

van Iersel, L., Kelk, S., Lekić, N., Scornavacca, C. (2012). A Practical Approximation Algorithm for Solving Massive Instances of Hybridization Number. In: Raphael, B., Tang, J. (eds) Algorithms in Bioinformatics. WABI 2012. Lecture Notes in Computer Science(), vol 7534. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33122-0_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33122-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33121-3

  • Online ISBN: 978-3-642-33122-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics