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Interactive Visualization of Big Data Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Architectural Challenges of Genotype-Phenotype Data Management

Authors : Michał Chlebiej, Piotr Habela, Andrzej Rutkowski, Iwona Szulc, Piotr Wiśniewski, Krzysztof Stencel

Published in: Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Publisher: Springer International Publishing

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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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previous chapter Distributed Monte Carlo Feature Selection: Extracting Informative Features Out of Multidimensional Problems with Linear Speedup
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Metadata
Title
Architectural Challenges of Genotype-Phenotype Data Management
Authors
Michał Chlebiej
Piotr Habela
Andrzej Rutkowski
Iwona Szulc
Piotr Wiśniewski
Krzysztof Stencel
Copyright Year
2016
Book
Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Print ISBN: 978-3-319-34098-2

Electronic ISBN: 978-3-319-34099-9

Copyright Year: 2016

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

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