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International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics

CIBB 2009: Computational Intelligence Methods for Bioinformatics and Biostatistics pp 206–214Cite as

Multiple Sequence Alignment with Genetic Algorithms

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6160))

Abstract

The multiple sequence alignment problem is one the most common task in the analysis of sequential data, especially in bioinformatics. In this paper, we propose to use a genetic algorithm to compute a multiple sequence alignment, by optimizing a simple scoring function. Even though the idea of using genetic algorithms is not new, the presented approach differs in the representation of the multiple alignment and in the simplicity of the genetic operators. The results so far obtained are reported and discussed in this paper.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, University of Torino, Corso Svizzera 185, 10149, Torino, Italy

    Marco Botta & Guido Negro

  2. Center for Complex Systems in Molecular Biology and Medicine, University of Torino, Via Accademia Albertina 13, 10100, Torino, Italy

    Marco Botta

Authors
  1. Marco Botta
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  2. Guido Negro
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Editor information

Editors and Affiliations

  1. DISI - Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, Via Dodecaneso 35, 16146, Genova, Italy

    Francesco Masulli

  2. Center for Biostatistics, The Methodist Hospital Research Institute (TMHRI), Weill Cornell Medical College, Cornell University, 6565 Fannin, Suite MGJ6-031, 77030, Houston, Texas, USA

    Leif E. Peterson

  3. Dipartimento di Matematica ed Informatica, Università di Salerno, Via Ponte don Melillo, 84084, Fisciano, (Sa), Italy

    Roberto Tagliaferri

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Botta, M., Negro, G. (2010). Multiple Sequence Alignment with Genetic Algorithms. In: Masulli, F., Peterson, L.E., Tagliaferri, R. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2009. Lecture Notes in Computer Science(), vol 6160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14571-1_15

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  • DOI: https://doi.org/10.1007/978-3-642-14571-1_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14570-4

  • Online ISBN: 978-3-642-14571-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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