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Segmentation of DNA into Coding and Noncoding Regions Based on Inter-STOP Symbols Distances

  • Conference paper
7th International Conference on Practical Applications of Computational Biology & Bioinformatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 222))

Abstract

In this study we set to explore the potentialities of the inter-genomic symbols distance for finding the coding regions in DNA sequences. We use the distance between STOP symbols in the DNA sequence and a chi-square statistic to evaluate the nonhomogeneity of the three possible reading frames. The results of this exploratory study suggest that inter-STOP symbols distance has strong ability to discriminate coding regions.

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Author information

Authors and Affiliations

  1. Signal Processing Lab, IEETA and Department of Electronics Telecommunications and Informatics, University of Aveiro, 3810-193, Aveiro, Portugal

    Carlos A. C. Bastos, Sara P. Garcia & Armando J. Pinho

  2. Department of Mathematics, University of Aveiro, 3810-193, Aveiro, Portugal

    Vera Afreixo

Authors
  1. Carlos A. C. Bastos
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  2. Vera Afreixo
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  3. Sara P. Garcia
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  4. Armando J. Pinho
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Corresponding author

Correspondence to Carlos A. C. Bastos .

Editor information

Editors and Affiliations

  1. , Department of Software Engineering, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia

    Mohd Saberi Mohamad

  2. , Department of Information Engineering, Università di Padua, Via Gradenigo 6, Padua, 35122, Italy

    Loris Nanni

  3. , Dep. Informática / CCTC, Universidade do Minho, Braga, 4710 - 057, Portugal

    Miguel P. Rocha

  4. , Department of Informatics, University of Vigo, Ourense, 32004, Spain

    Florentino Fdez-Riverola

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© 2013 Springer International Publishing Switzerland

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Bastos, C.A.C., Afreixo, V., Garcia, S.P., Pinho, A.J. (2013). Segmentation of DNA into Coding and Noncoding Regions Based on Inter-STOP Symbols Distances. In: Mohamad, M., Nanni, L., Rocha, M., Fdez-Riverola, F. (eds) 7th International Conference on Practical Applications of Computational Biology & Bioinformatics. Advances in Intelligent Systems and Computing, vol 222. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00578-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-00578-2_4

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00577-5

  • Online ISBN: 978-3-319-00578-2

  • eBook Packages: EngineeringEngineering (R0)

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