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Characterization and Treatment of the Temporal Dimension of Genomic Variations: A Conceptual Model-Based Approach

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Advances in Conceptual Modeling (ER 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 13012))

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Abstract

The reclassification of the genomic variation’s pathogenicity is not a rare event, and it may have dramatic consequences on a patient’s diagnosis and treatment. In this work, we present a characterization of the temporal dimension concept regarding the variation’s reclassification. Following this, we have expanded this characterization to include other dimensions of genomics that can also change over time. This characterization allows identifying what dimensions change, why they change, and how we can deal with these changes. On the other hand, this characterization has been the base to develop a conceptual based-approach that has let us solve the problems regarding the temporal dimension in a real-world, specific working context.

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Authors and Affiliations

  1. PROS Research Center, Universitat Politècnica de València, Camí de Vera, s/n, 46022, València, Spain

    Alberto García Simón, Mireia Costa Sánchez & Oscar Pastor

Authors
  1. Alberto García Simón
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  2. Mireia Costa Sánchez
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  3. Oscar Pastor
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Corresponding author

Correspondence to Alberto García Simón .

Editor information

Editors and Affiliations

  1. University of Haifa, Haifa, Israel

    Iris Reinhartz-Berger

  2. The University of Queensland, Brisbane, QLD, Australia

    Shazia Sadiq

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García Simón, A., Costa Sánchez, M., Pastor, O. (2021). Characterization and Treatment of the Temporal Dimension of Genomic Variations: A Conceptual Model-Based Approach. In: Reinhartz-Berger, I., Sadiq, S. (eds) Advances in Conceptual Modeling. ER 2021. Lecture Notes in Computer Science(), vol 13012. Springer, Cham. https://doi.org/10.1007/978-3-030-88358-4_9

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  • DOI: https://doi.org/10.1007/978-3-030-88358-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88357-7

  • Online ISBN: 978-3-030-88358-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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