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Formal Language Model for Transcriptome and Proteome Data Integration

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12253))

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Abstract

We present in this article, for the area of structural and functional genetics, a preliminary theoretical model based on the representation of transcriptomes and proteomes as families of formal languages, in which the phenomenon of translation is described as a artificial language transduction process (present in programming languages compilers), making it possible to unify the transcriptomic and proteomic data.

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Author information

Authors and Affiliations

  1. Campus de Ponta Porã, Universidade Federal de Mato Grosso do Sul, Ponta Porã, Mato Grosso do Sul, Brazil

    Reginaldo Inojosa da Silva Filho & Claudio Santos Oliveira

  2. Departamento de Engenharia da Computação, Escola Politécnica da Universidade de São Paulo, São Paulo, Brazil

    Ricardo Luis de Azevedo da Rocha

Authors
  1. Reginaldo Inojosa da Silva Filho
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  2. Ricardo Luis de Azevedo da Rocha
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  3. Claudio Santos Oliveira
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Corresponding author

Correspondence to Claudio Santos Oliveira .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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da Silva Filho, R.I., de Azevedo da Rocha, R.L., Oliveira, C.S. (2020). Formal Language Model for Transcriptome and Proteome Data Integration. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_60

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  • DOI: https://doi.org/10.1007/978-3-030-58814-4_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58813-7

  • Online ISBN: 978-3-030-58814-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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