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Exact and Asymptotic Distribution of the Local Score of One i.i.d. Random Sequence

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Computational Biology (JOBIM 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2066))

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Abstract

We propose two new and complementary methods to assess the statistical significance of high scoring segments, within both long and short sequences. The numerical results show that these methods improve the work of Karlin et al. implemented in BLAST for the comparison of two sequences.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Mercier, S., Cellier, D., Charlot, F., Daudin, JJ. (2001). Exact and Asymptotic Distribution of the Local Score of One i.i.d. Random Sequence. In: Gascuel, O., Sagot, MF. (eds) Computational Biology. JOBIM 2000. Lecture Notes in Computer Science, vol 2066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45727-5_7

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  • DOI: https://doi.org/10.1007/3-540-45727-5_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42242-6

  • Online ISBN: 978-3-540-45727-5

  • eBook Packages: Springer Book Archive

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