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Algorithms for Loosely Constrained Multiple Sequence Alignment

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

Abstract

For finding accurate and biologically meaningful multiple sequence alignment, it is required to consider a loosely constrained version of multiple sequence alignment. This paper is the first to define a loosely constrained multiple sequence alignment (LCMSA). And it also designs a complete algorithm for the loosely constrained pair-wise sequence alignment problem with the time complexity of O((α + 1)n 2(α + 1)) and an approximation algorithm for LCMSA running in time O(k 2(α + 1)n 2(α + 1)), k and n is the number and the maximum length of input sequences, and α is the length of constrained sequence. In fact, α is small compared to n and it is reasonable to regard it as a constant. So, the former two algorithms run in polynomial time. Finally, a LCMSA software system is built up.

This work was supported by the National ‘863’ High-Tech Program of China under the grant No.2001AA111041, 2002AA104560, and High-standard Universities Construction Project in CAS.

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References

  1. Jiang, T., Xu, Y., Zhang, M.Q.: Current Topics in Computational Molecular Biology. The MIT Press, Cambridge (2002)

    Google Scholar 

  2. Gusfield, D.: Efficient Methods for Multiple Sequence Alignment with Guaranteed Error Bounds. Bulletin of Mathematical Biology 55, 141–154 (1993)

    MATH  Google Scholar 

  3. Tang, C.Y., Lu, C.L., Chang, M.D.-T., Tai, Y.-T., Sun, Y.-J., Chao, K.-M., Chang, J.-M., Chiou, Y.-H., Wu, C.-M., Chang, H.-T., Chou, W.-I.: Constrained Multiple Sequence Alignment Tool Development and Its Application to RNase Family Alignment. In: Proceeding of the first IEEE Computer Society Bioinformatics Conference, pp. 127–137 (2002)

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  4. Chin, F.Y.L., Ho, N.L., Lam, T.W., Wong, P.W.H., Chan, M.Y.: Efficient Constraint Multiple Sequence Alignment with Performance Guarantee. In: Proceeding of the second IEEE Computer Society Bioinformatics Conference, pp. 337–346 (2003)

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© 2004 Springer-Verlag Berlin Heidelberg

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Song, B., Zhou, Ff., Chen, Gl. (2004). Algorithms for Loosely Constrained Multiple Sequence Alignment. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_34

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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