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Architectural Challenges of Genotype-Phenotype Data Management

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Book cover Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

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Abstract

Medical research initiatives more and more often involve processing considerable amounts of data that may evolve during the project. These data should be preserved and aggregated for the purpose of future analyses beyond the lifetime of a given research project. This paper discussed the challenges concerned with the construction of the storage management layer for genotype-phenotype data. These data were used to research neurodegeneration disorders and their therapy. We outline the functionality of data processing services. We also present a flexible data-storage structure. Finally, we discuss the choices regarding database schema management and input sanitation and processing.

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Acknowledgements

This work is sponsored by the project “Innovative strategy for diagnostics, prevention and adiuvant therapy of selected neurodegenerative disorders in population of Polish ancestry” co-funded by The National Centre for Research and Development, contract no. STRATEGMED1/234261/2/NCBR/2014.

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Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland

    Michał Chlebiej, Andrzej Rutkowski, Iwona Szulc, Piotr Wiśniewski & Krzysztof Stencel

  2. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Piotr Habela

Authors
  1. Michał Chlebiej
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  2. Piotr Habela
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  3. Andrzej Rutkowski
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  4. Iwona Szulc
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  5. Piotr Wiśniewski
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  6. Krzysztof Stencel
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Corresponding author

Correspondence to Piotr Wiśniewski .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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© 2016 Springer International Publishing Switzerland

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Chlebiej, M., Habela, P., Rutkowski, A., Szulc, I., Wiśniewski, P., Stencel, K. (2016). Architectural Challenges of Genotype-Phenotype Data Management. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_36

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  • DOI: https://doi.org/10.1007/978-3-319-34099-9_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34098-2

  • Online ISBN: 978-3-319-34099-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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