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E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria

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Computational Methods in Systems Biology (CMSB 2016)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9859))

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Abstract

E-cyanobacterium.org is an online platform providing tools for public sharing, annotation, analysis, and visualization of dynamical models and wet-lab experiments related to cyanobacteria. The platform is unique in integrating abstract mathematical models with a precise consortium-agreed biochemical description provided in a rule-based formalism. The general aim is to stimulate collaboration between experimental and computational systems biologists to achieve better understanding of cyanobacteria.

This work has been supported by the Czech National Infrastructure grant LM2015055 and by the Czech Science Foundation grant GA15-11089S.

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Notes

  1. 1.

    http://www.cyanoteam.org.

  2. 2.

    http://www.e-cyanobacterium.org.

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Author information

Authors and Affiliations

  1. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Matej Troják, David Šafránek, Jakub Hrabec, Jakub Šalagovič & Františka Romanovská

  2. Global Change Research Centre AS CR, v. v. i., Brno, Czech Republic

    Jan Červený

Authors
  1. Matej Troják
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  2. David Šafránek
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  3. Jakub Hrabec
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  4. Jakub Šalagovič
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  5. Františka Romanovská
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  6. Jan Červený
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Corresponding author

Correspondence to David Šafránek .

Editor information

Editors and Affiliations

  1. TU Wien, Vienna, Austria

    Ezio Bartocci

  2. Computer Laboratory, University of Cambridge, Cambridge, United Kingdom

    Pietro Lio

  3. Department of Computer Science, University of Oxford, Oxford, United Kingdom

    Nicola Paoletti

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Troják, M., Šafránek, D., Hrabec, J., Šalagovič, J., Romanovská, F., Červený, J. (2016). E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria. In: Bartocci, E., Lio, P., Paoletti, N. (eds) Computational Methods in Systems Biology. CMSB 2016. Lecture Notes in Computer Science(), vol 9859. Springer, Cham. https://doi.org/10.1007/978-3-319-45177-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-45177-0_20

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  • Online ISBN: 978-3-319-45177-0

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