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Automatic Prediction of the Genetic Code

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Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

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Abstract

The genetic code is the translation table used by an organism to transform each nucleotide triplet (codon) into an amino acid. For any species, its genetic code can be predicted by comparing conserved codon sites in protein alignments of target and reference sequences. Here we describe the design and implementation of a general and improved dynamic pipeline to predict the genetic code for any genome/species, taking into account the physicochemical properties of the amino acids involved and the phylogenetic relationships of the organisms compared.

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Author information

Authors and Affiliations

  1. Departamento de Bioquímica, Genética, e Inmunología, Universidad de Vigo, Vigo, Spain

    Mateus Patricio & David Posada

  2. Bioinformatics Department, Centro de Investigación Príncipe Felipe (CIPF), Autopista del Saler 16, E46013, Valencia, Spain

    Jaime Huerta-Cepas & Toni Gabaldón

  3. Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de, Ciencias Naturales, Madrid, Spain

    Rafael Zardoya

Authors
  1. Mateus Patricio
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  2. Jaime Huerta-Cepas
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  3. Toni Gabaldón
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  4. Rafael Zardoya
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  5. David Posada
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Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan

    Sigeru Omatu

  2. Department of Informatics / CCTC, University of Minho, Braga, Portugal

    Miguel P. Rocha

  3. MAmI Research Lab, University of Castilla-La Mancha,, Ciudad Real, Spain

    José Bravo

  4. Department of Informatics, University of Vigo, Ourense, Spain

    Florentino Fernández

  5. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  6. Higher Polytechnic School, University of Burgos, Burgos, Spain

    Andrés Bustillo

  7. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Patricio, M., Huerta-Cepas, J., Gabaldón, T., Zardoya, R., Posada, D. (2009). Automatic Prediction of the Genetic Code. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_170

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_170

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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