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Multiple sequence alignment: algorithms and applications.

O Gotoh1

  • 1Saitama Cancer Center Research Institute, Japan.

Advances in Biophysics
|August 27, 1999
PubMed
Summary
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Multiple sequence alignment is crucial for understanding gene and protein relationships. New iterative methods are advancing this field, offering powerful tools for biological research and bioinformatics.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Understanding gene and protein relationships (sequence, structure, function, evolution) is key in modern biology.
  • Multiple sequence alignment is a vital tool for phylogenetic reconstruction, identifying functional regions, and predicting structures.

Purpose of the Study:

  • To review various methods for constructing multiple sequence alignments.
  • To discuss the applications of multiple alignments in elucidating gene and protein relationships.
  • To highlight the evolving landscape of multiple alignment techniques.

Main Methods:

  • Review of existing and emerging multiple sequence alignment algorithms.
  • Discussion of computational approaches for sequence alignment.

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  • Exploration of multidisciplinary contributions to alignment methods.

    • Main Results:

    • Progressive methods have long been dominant, but iterative methods are increasingly important.
    • Advances in multiple sequence alignment are driven by contributions from mathematics, computer science, and biology.
    • Multiple sequence alignment aids in understanding sequence, structure, function, and evolution (FESS) relationships.

    Conclusions:

    • Multiple sequence alignment is essential for biological research.
    • New techniques, particularly iterative methods, are enhancing alignment capabilities.
    • Generalized multiple alignment is poised to play a central role in future FESS relationship studies.