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Computational Life Sciences pp 3–20Cite as

Interesting Programming Languages Used in Life Sciences

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Part of the Studies in Big Data book series (SBD,volume 112)

Abstract

In this chapter we present seven programming languages and tools which have contributed a lot to—and were improved based on the demands of—various fields of Life Sciences ranging from epidemiology to genetics, from simulations to image processing.

We cannot give a detailed introduction into each language, but rather provide some context and small examples to to wet your appetite and make you aware of all the beautiful and powerful tools available

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  • DOI: 10.1007/978-3-031-08411-9_1
  • Chapter length: 18 pages
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Notes

  1. 1.

    The placement of the dashes is actually a joke on the rule itself.

Author information

Authors and Affiliations

  1. LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Strasse 27, 04103, Leipzig, Germany

    Christof Meigen

Authors
  1. Christof Meigen
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Correspondence to Christof Meigen .

Editor information

Editors and Affiliations

  1. German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

    Jens Dörpinghaus

  2. Department for Mathematics and Computer Science, University of Cologne, Cologne, Germany

    Vera Weil

  3. German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

    Sebastian Schaaf

  4. High Performance Computing, Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany

    Alexander Apke

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Meigen, C. (2022). Interesting Programming Languages Used in Life Sciences. In: Dörpinghaus, J., Weil, V., Schaaf, S., Apke, A. (eds) Computational Life Sciences. Studies in Big Data, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-031-08411-9_1

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