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Review
. 2003 Nov:Chapter 3:3.7.1-3.7.26.
doi: 10.1002/0471250953.bi0307s03.

An overview of multiple sequence alignment

Affiliations
Review

An overview of multiple sequence alignment

Victor Simossis et al. Curr Protoc Bioinformatics. 2003 Nov.

Abstract

Multiple sequence alignment is perhaps the most commonly applied bioinformatics technique. It often leads to fundamental biological insight into sequence-structure-function relationships of nucleotide or protein sequence families. In this unit, an overview of multiple sequence alignment techniques is presented, covering a history of nearly 30 years from the early pioneering methods to the current state-of-the-art techniques. Methodological and biological issues and end-user considerations, as well as alignment evaluation issues, are discussed.

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References

Literature Cited

References
    1. Altschul, S.F. and Erickson, B.W. 1986. A nonlinear measure of subalignment similarity and its significance levels. Bull. Math. Biol. 48:617-632.
    1. Altschul, S.F., Carrol, R.J., and Lipman, D.J. 1989. Weights for data related by a tree. J. Mol. Biol. 207:647-653.
    1. Altschul, S.F., Madden, T.L., Schaffer, A.A., Zhang, J., Zhang, Z., Miller, W., and Lipman, D.J. 1997. Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucleic Acids Res. 25:3389-3402.
    1. Bailey, T.L. and Elkan, C. 1994. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. In Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology. pp. 28-36. AAAI Press, Menlo Park, Calif.
    1. Bailey, T.L. and Elkan, C. 1995. The value of prior knowledge in discovering motifs with MEME. In Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology. pp. 21-29. AAAI Press, Menlo Park, Calif.
Key References
    1. Dayhoff et al., 1978. See above.
    1. Felsenstein, 1981. See above.
    1. Hogeweg and Hesper, 1984. See above.
    1. Needleman and Wunsch, 1970. See above.
    1. Smith and Waterman, 1981. See above.

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