Systems Biology Simulation Core Library specifications


Unique identifier OMICS_16939
Name Systems Biology Simulation Core Library
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java
License GNU Lesser General Public License version 3.0
Computer skills Advanced
Version 1.4
Stability Stable
Maintained Yes



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  • person_outline Andreas Drager <>

Publication for Systems Biology Simulation Core Library

Systems Biology Simulation Core Library in publication

PMCID: 4434901
PMID: 26042043
DOI: 10.3389/fphys.2015.00152

[…] electrophysiology cell models (cooper et al., )., there are many tools that have been developed to perform simulations based on markup descriptions of data and models, for example: celldesigner, systems biology simulation core library, repose, flint and cmiss, to name but a few. beyond a single-cell simulations for example, cellml has been integrated into opencmiss […]

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Systems Biology Simulation Core Library institution(s)
Center for Bioinformatics Tuebingen (ZBIT), University of Tuebingen, Tübingen, Germany; Graduate School of Science and Technology, Keio University, Yokohama, Japan; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; SynthSys Edinburgh, CH Waddington Building, University of Edinburgh, Edinburgh, UK; European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK; Babraham Institute, Babraham, Cambridge, UK; Natural and Medical Sciences Institute at the University of Tuebingen Reutlingen, Germany; University of California, San Diego, Gilman Drive, La Jolla, CA, USA
Systems Biology Simulation Core Library funding source(s)
This work was funded by the Federal Ministry of Education and Research (BMBF, Germany) as part of the Virtual Liver Network (grant number 0315756), The Japan Society for the Promotion of Science and the Ministry of Education, Culture, Sports, Science and Technology of Japan, Grants-in-Aid for Scientific Research on Innovative Areas (KAKENHI), grant number 23136513, the UK Biotechnology and Biological Sciences Research Council, grant number BB/D019621/1, the German Research Foundation (DFG) and the Open Access Publishing Fund of the University of Tuebingen.

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