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Beaches of Islands of Tractability: Algorithms for Parsimony and Minimum Perfect Phylogeny Haplotyping Problems

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Algorithms in Bioinformatics (WABI 2006)

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Abstract

The problem Parsimony Haplotyping (PH) asks for the smallest set of haplotypes which can explain a given set of genotypes, and the problem Minimum Perfect Phylogeny Haplotyping (MPPH) asks for the smallest such set which also allows the haplotypes to be embedded in a perfect phylogeny evolutionary tree, a well-known biologically-motivated data structure. For PH we extend recent work of [17] by further mapping the interface between “easy” and “hard” instances, within the framework of (k,l)-bounded instances. By exploring, in the same way, the tractability frontier of MPPH we provide the first concrete, positive results for this problem, and the algorithms underpinning these results offer new insights about how MPPH might be further tackled in the future. In both PH and MPPH intriguing open problems remain.

Supported by the Dutch BSIK/BRICKS project.

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References

  1. Alimonti, P., Kann, V.: Hardness of approximating problems on cubic graphs. In: Proc. of the 3rd Italian Conf. on Algorithms and Complexity, pp. 288–298 (1997)

    Google Scholar 

  2. Bafna, V., Gusfield, D., Hannenhalli, S., Yooseph, S.: A Note on Efficient Computation of Haplotypes via Perfect Phylogeny. J. of Computational Biology 11(5), 858–866 (2004)

    Article  Google Scholar 

  3. Blair, J.R.S., Peyton, B.: An introduction to chordal graphs and clique trees. In: Graph theory and sparse matrix computation, pp. 1–29. Springer, Heidelberg (1993)

    Google Scholar 

  4. Bonizzoni, P., Vedova, G.D., Dondi, R., Li, J.: The haplotyping problem: an overview of computational models and solutions. J. of Computer Science and Technology 18(6), 675–688 (2003)

    Article  MATH  Google Scholar 

  5. Brown, D., Harrower, I.: Integer programming approaches to haplotype inference by pure parsimony. IEEE/ACM Transactions on Computational Biology and Informatics 3(2) (2006)

    Google Scholar 

  6. Cilibrasi, R., Iersel, L.J.J., van Kelk, S.M., Tromp, J.: On the Complexity of Several Haplotyping Problems. In: Casadio, R., Myers, G. (eds.) WABI 2005. LNCS (LNBI), vol. 3692, pp. 128–139. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  7. Ding, Z., Filkov, V., Gusfield, D.: A linear-time algorithm for the perfect phylogeny haplotyping (PPH) problem. J. of Computational Biology 13(2), 522–533 (2006)

    Article  MathSciNet  Google Scholar 

  8. Gusfield, D.: Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology. Cambridge University Press, Cambridge (1997)

    Book  MATH  Google Scholar 

  9. Gusfield, D.: Efficient algorithms for inferring evolutionary history. Networks 21, 19–28 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  10. Gusfield, D.: Haplotype inference by pure parsimony. In: Baeza-Yates, R., Chávez, E., Crochemore, M. (eds.) CPM 2003. LNCS, vol. 2676, pp. 144–155. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Halldórsson, B.V., Bafna, V., Edwards, N., Lippert, R., Yooseph, S., Istrail, S.: A survey of computational methods for determining haplotypes. In: Proc. DIMACS/RECOMB Satellite Workshop: Computational Methods for SNPs and Haplotype Inference, pp. 26–47 (2004)

    Google Scholar 

  12. Iersel, L.J.J., van Keijsper, J.C.M., Kelk, S.M., Stougie, L.: Beaches of islands of tractability: Algorithms for parsimony and minimum perfect phylogeny haplotyping problems, technical report (2006), http://www.win.tue.nl/bs/spor/2006-09.pdf

  13. Lancia, G., Pinotti, M., Rizzi, R.: Haplotyping populations by pure parsimony: complexity of exact and approximation algorithms. INFORMS J. on Computing 16(4), 348–359 (2004)

    Article  MathSciNet  Google Scholar 

  14. Lancia, G., Rizzi, R.: A polynomial case of the parsimony haplotyping problem. Operations Research Letters 34(3), 289–295 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  15. Papadimitriou, C.H., Yannakakis, M.: Optimization, approximation, and complexity classes. J. Comput. System Sci. 43, 425–440 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  16. Rose, D.J., Tarjan, R.E., Lueker, G.S.: Algorithmic aspects of vertex elimination on graphs. SIAM J. Comput. 5, 266–283 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  17. Sharan, R., Halldórsson, B.V., Istrail, S.: Islands of tractability for parsimony haplotyping. IEEE/ACM Transactions on Computational Biology and Bioinformatics (to appear)

    Google Scholar 

  18. Song, Y.S., Wu, Y., Gusfield, D.: Algorithms for imperfect phylogeny haplotyping (IPPH) with single haploplasy or recombination event. In: Casadio, R., Myers, G. (eds.) WABI 2005. LNCS (LNBI), vol. 3692, pp. 152–164. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  19. VijayaSatya, R., Mukherjee, A.: An optimal algorithm for perfect phylogeny haplotyping. J. of Computational Biology (to appear)

    Google Scholar 

  20. Zhang, X.-S., Wang, R.-S., Wu, L.-Y., Chen, L.: Models and Algorithms for Haplotyping Problem. Current Bioinformatics 1, 105–114 (2006)

    Article  Google Scholar 

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van Iersel, L., Keijsper, J., Kelk, S., Stougie, L. (2006). Beaches of Islands of Tractability: Algorithms for Parsimony and Minimum Perfect Phylogeny Haplotyping Problems. In: Bücher, P., Moret, B.M.E. (eds) Algorithms in Bioinformatics. WABI 2006. Lecture Notes in Computer Science(), vol 4175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11851561_8

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  • DOI: https://doi.org/10.1007/11851561_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39583-6

  • Online ISBN: 978-3-540-39584-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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