Cited by 345Modeling and Simulation SystemsGene Regulatory Network AnalysisScientific Computing and Data Management

An Overview of CellML 1.1, a Biological Model Description Language

Cuellar, Autumn A., Lloyd, Catherine M., Nielsen, Poul F., Bullivant, David P., Nickerson, David P., Hunter, Peter J.·2003·SIMULATION

Abstract

CellML is an XML-based exchange format developed by the University of Auckland in collaboration with Physiome Sciences, Inc. CellML 1.1 has a component-based architecture allowing a modeller to build complex systems of models that expand and reuse previously published models. CellML Metadata is a format for encoding contextual information for a model. CellML 1.1 can be used in conjunction with CellML Metadata to provide a complete description of the structure and underlying mathematics of biological models. A repository of over 200 electrophysiological, mechanical, signal transduction, and metabolic pathway models is available at www.cellml.org.

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Crossref · 10.1177/0037549703040939

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  • Systems biology model representation has become standardized using XML-based languages SBML, CellML, and BioPAX.

    “For this reason, systems biology model representation has become standardized using XML-based languages SBML [10, 13], CellML [14], and BioPAX [15].”

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References 8 · Cited by 345

Authors
Cuellar, A. A., Lloyd, C. M., Nielsen, P. F., Bullivant, D. P., Nickerson, D. P., & Hunter, P. J.
Affiliations
University of Auckland (NZ)
Corresponding author
Cuellar, Autumn A.
Venue
SIMULATION
Published
2003-12
Volume
79
Issue
12
Pages
740-747
ISSN
  • 0037-5497 (ISSN-L)
  • 1741-3133
OpenAlex
W2170122529
Cited by
345
References
8
Citations by year
2026: 5 · 2025: 6 · 2024: 14 · 2023: 18 · 2022: 12 · 2021: 26 · 2020: 25 · 2019: 20 · 2018: 19 · 2017: 16 · 2016: 16 · 2015: 18 · 2014: 15 · 2013: 26 · 2012: 11
FWCI
9.17
Type
journal article
Language
en
Open access
closed
Locations
  • SIMULATION (publishedVersion)
  • ResearchSpace (University of Auckland) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Modeling and Simulation Systems
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
Keywords
CellML, model reuse, electrophysiological model, model repository

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