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Data Warehouses in Bioinformatics

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Approaches in Integrative Bioinformatics

Abstract

The progress in the area of biological research in recent years has led to a multiplicity of different databases and information systems. Molecular biology deals with complex problems and an enormous amount of versatile data will be produced by high-throughput techniques. Hence, the total number of databases, as well as the data itself, is continuously increasing, and with it the distribution and heterogeneity of the data rises. The importance of database integration has been recognized for many years. Therefore, this chapter presents the problems in database integration as well as a small selection of well-known existing integration systems which have been developed. Finally, this chapter presents an in-house data warehouse approach for biological data. Integrated data is the basis for network analysis, reconstruction, and visualization.

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Notes

  1. 1.

    http://www.ncbi.nlm.nih.gov/blast/fasta.shtml

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Authors and Affiliations

  1. Bioinformatics/Medical Informatics Department, Bielefeld University, Universitätsstraße 25, D-33501, Bielefeld, Germany

    Benjamin Kormeier

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  1. Benjamin Kormeier
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Correspondence to Benjamin Kormeier .

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Editors and Affiliations

  1. College of Life Sciences, Zhejiang University, Hangzhou, People's Republic of China

    Ming Chen

  2. Department of Bioinformatics and Medical Informatics, Bielefeld University, Bielefeld, Germany

    Ralf Hofestädt

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Kormeier, B. (2014). Data Warehouses in Bioinformatics. In: Chen, M., Hofestädt, R. (eds) Approaches in Integrative Bioinformatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41281-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-41281-3_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41280-6

  • Online ISBN: 978-3-642-41281-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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