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Can a Breakpoint Graph be Decomposed into None Other Than 2-Cycles?

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Abstract

Breakpoint graph is a key data structure to study genome rearrangements. The problem of Breakpoint Graph Decomposition (BGD), which asks for a largest collection of edge-disjoint cycles in a breakpoint graph, is a crucial step in computing rearrangement distances between genomes. This problem for genomes of unsigned genes is proved NP-hard, and the best known approximation ratio is 1.4193+\(\epsilon \) [1]. In this paper, we present a polynomial time algorithm to detect whether a breakpoint graph can be decomposed into none other than 2-cycles. Our algorithm can be used to detect if there exists a sorting scenario between two genomes without reusing any breakpoints.

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References

  1. Lin, G., Jiang, T.: A further improved approximation algorithm for breakpoint graph decomposition. J. Comb. Optim. 8(2), 183–194 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  2. Kececioglu, J., Sankoff, D.: Exact and approximation algorithms for the inversion distance between two chromosomes. Comb. Pattern Matching Fourth Ann. Symp. 684, 87–105 (1993)

    MathSciNet  Google Scholar 

  3. Caprara, A.: Sorting by reversals is difficult. In: Proceedings of the First Annual International Conference on Computational Molecular Biology (1997)

    Google Scholar 

  4. Hannenhalli, S., Pevzner, P.A.: Transforming cabbage into turnip (polynomial algorithm for sorting signed permutations by reversals). In: Proceedings of 27th Annual ACM Symposium on Theory of Comput (STOC) (1995)

    Google Scholar 

  5. Caprara, A.: On the tightness of the alternating-cycle lower bound for sorting by reversals. J. Comb. Optim. 3(2), 149–182 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  6. Swenson, K.M., Lin, Y., Rajan, V., Moret, B.M.E.: Hurdles and sorting by inversions: combinatorial, statistical, and experimental results. J. Comput. Biol. 16(10), 1339–1351 (2009)

    Article  MathSciNet  Google Scholar 

  7. Swenson, K.M., Lin, Y., Rajan, V., Moret, B.M.E.: Hurdles hardly have to be heeded. In: Nelson, C.E., Vialette, S. (eds.) RECOMB-CG 2008. LNCS (LNBI), vol. 5267, pp. 241–251. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Hannenhalli, S.: Polynomial-time algorithm for computing translocation distance between genomes. Proc. Sixth Ann. Symp. Comb. Pattern Matching (CPM) 937, 162–176 (1995)

    MathSciNet  MATH  Google Scholar 

  9. Kececioglu, J., Ravi, R.: Of mice and men: algorithms for evolutionary distances between genomes with translocation. In: Proceedings Sixth Annual ACM-SIAM Symposium, Discrete Algorithms (SODA) (1995)

    Google Scholar 

  10. Jiang, H., Zhu, B., Zhu, D.: Algorithms for sorting unsigned linear genomes by the DCJ operations. Bioinformatics 27(3), 311–316 (2010)

    Article  MathSciNet  Google Scholar 

  11. Chen, X., Zheng, J., Fu, Z., Nan, P., Zhong, Y., Lonardi, S., Jiang, T.: Assignment of orthologous genes via genome rearrangement. ACM/IEEE Trans. Comput. Bio. Bioinf. 2(4), 302–315 (2005)

    Article  Google Scholar 

  12. Shao, M., Lin, Y., Moret, B.: An exact algorithm to compute the DCJ distance for genomes with duplicate genes. In: Sharan, R. (ed.) RECOMB 2014. LNCS, vol. 8394, pp. 280–292. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  13. Chen, Z., Fu, B., Zhu, B.: The approximability of the exemplar breakpoint distance problem. In: Cheng, S.-W., Poon, C.K. (eds.) AAIM 2006. LNCS, vol. 4041, pp. 291–302. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Ma, J., Ratan, A., Raney, B.J., Suh, B.B., Miller, W., Haussler, D.: The infinite sites model of genome evolution. Proc. Nat. Acad. Sci. 105(38), 14254–14261 (2008)

    Article  Google Scholar 

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Correspondence to Haitao Jiang .

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Pu, L., Jiang, H. (2016). Can a Breakpoint Graph be Decomposed into None Other Than 2-Cycles?. In: Zhu, D., Bereg, S. (eds) Frontiers in Algorithmics. FAW 2016. Lecture Notes in Computer Science(), vol 9711. Springer, Cham. https://doi.org/10.1007/978-3-319-39817-4_20

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  • DOI: https://doi.org/10.1007/978-3-319-39817-4_20

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  • Online ISBN: 978-3-319-39817-4

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