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Technological Roadmap

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Scalable Big Data Analytics for Protein Bioinformatics

Part of the book series: Computational Biology ((COBO,volume 28))

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Abstract

Scientific solutions presented in this book rely on various technologies that emerged in computer science. Some of them emerged recently and are quite new in the bioinformatics field. Some of them are widely used in developing efficient and reliable IT systems supporting various forms of business for many years, but are not frequently used in bioinformatics. This chapter provides a technological road map for solutions presented in this book. It covers a brief introduction to the concept of cloud computing, cloud service, and deployment models. It also defines the Big Data challenge and presents benefits of using multi-threading in scientific computations. It then explains graphics processing units (GPU) and CUDA architecture. Finally, it focuses on relational databases and the SQL language used for declarative querying.

Technology is a useful servant but a dangerous master

Christian Lous Lange

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Authors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

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  1. Dariusz Mrozek
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Mrozek, D. (2018). Technological Roadmap. In: Scalable Big Data Analytics for Protein Bioinformatics. Computational Biology, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-98839-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-98839-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98838-2

  • Online ISBN: 978-3-319-98839-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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