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A Tiling Bound for Pairwise Global Sequence Alignment

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Advances in Software Engineering (ASEA 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 30))

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Abstract

In this paper we motivate the need to develop new techniques to accelerate pairwise global sequence alignment and then propose a tiling bound to achieve this. The bounds involve a problem relaxation in which alignment scores of sequence fragments are combined to give a bound on the distance of any alignment passing through any particular point in the edit graph. We prove the correctness of the bound and briefly discuss possible implementation strategies.

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References

  1. Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. JMB 215, 403–410 (1990)

    Google Scholar 

  2. Bairoch, A., Apweiler, R., Wu, H.C., Barker, C.W., Boeckmann, B., Ferro, S., Gasteiger, E., Huang, H., Lopez, R., Magrane, M., Martin, J.M., Natale, A.D., O’Donovan, C., Redaschi, N., Yeh, S.L.: The universal protein resource (UniProt). NAR 33, D154–D159 (2005)

    Article  Google Scholar 

  3. Ficket, J.W.: Fast optimal alignment. Nucleic Acids Research 12, 175–180 (1983)

    Article  Google Scholar 

  4. Hart, P.E., Nilsson, N.J., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics SSC 4(2), 100–107 (1968)

    Article  Google Scholar 

  5. Holm, L., Sander, C.: Removing near-neighbour redundancy from large protein sequence collections. Bioinformatics 14, 423–429 (1998)

    Article  Google Scholar 

  6. Katoh, K., Toh, H.: Recent developments in the MAFFT multiple sequence alignment program. Briefings in Bioinformatics 9, 286–298 (2008)

    Article  Google Scholar 

  7. Li, W., Godzik, A.: Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22(13), 1658–1659 (2006)

    Article  Google Scholar 

  8. Li, W., Jaroszewski, L., Godzik, A.: Clustering of highly homologous sequences to reduce the size of large protein databases. Bioinformatics 17(3), 282–283 (2001)

    Article  Google Scholar 

  9. Löytynoja, A., Goldman, N.: Phylogeny-aware gap placement prevents errors in sequence alignment and evolutionary analysis. Science 320, 1632–1635 (2008)

    Article  Google Scholar 

  10. Needleman, S.B., Wunsch, C.D.: A general method applicable to the search for similarities in the amino acid sequences of two proteins. Journal of Molecular Biology 48, 444–453 (1970)

    Article  Google Scholar 

  11. Notredame, C., Holm, L., Higgins, D.G.: COFFEE: an objective function for multiple sequence alignments. Bioinformatics 14, 407–422 (1998)

    Article  Google Scholar 

  12. Notredame, C.: Recent evolutions of multiple sequence alignment algorithms. PLoS Comput. Biol. 3(8), e123 (2007)

    Article  Google Scholar 

  13. Pearson, W.R., Lipman, D.J.: Improved tools for biological sequence comparison. Proc. Natl. Acad. Sci. USA 85, 2444–2448 (1988)

    Google Scholar 

  14. Spouge, J.L.: Fast optimal alignment. CABIOS 7(1), 1–7 (1991)

    Google Scholar 

  15. Thompson, J.D., Higgins, D.G., Gibson, T.J.: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Research 22, 4673–4680 (1994)

    Article  Google Scholar 

  16. Ukkonen, E.: On approximate string matching. LNCS, vol. 158, pp. 487–495. Springer, Heidelberg (1984)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Horton, P., Frith, M. (2009). A Tiling Bound for Pairwise Global Sequence Alignment. In: Kim, Th., Fang, WC., Lee, C., Arnett, K.P. (eds) Advances in Software Engineering. ASEA 2008. Communications in Computer and Information Science, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10242-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-10242-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10241-7

  • Online ISBN: 978-3-642-10242-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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