Cited by 502Gene Regulatory Network AnalysisScientific Computing and Data ManagementModeling and Simulation Systems

CellML: its future, present and past

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Lloyd, Catherine M., Halstead, Matt D.B., Nielsen, Poul F.·2004·Progress in Biophysics and Molecular Biology

Abstract

Advances in biotechnology and experimental techniques have lead to the elucidation of vast amounts of biological data. Mathematical models provide a method of analysing this data; however, there are two issues that need to be addressed: (1) the need for standards for defining cell models so they can, for example, be exchanged across the World Wide Web, and also read into simulation software in a consistent format and (2) eliminating the errors which arise with the current method of model publication. CellML has evolved to meet these needs of the modelling community. CellML is a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. In this paper we summarise the structure of CellML, its current applications (including biological pathway and electrophysiological models), and its future development--in particular, the development of toolsets and the integration of ontologies.

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Crossref · 10.1016/j.pbiomolbio.2004.01.004

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  • BioPAX does not support dynamic and quantitative aspects of biological processes, but coordinates with SBML and CellML mathematical modeling languages.

    “BioPAX does not support this, but coordinates with the SBML and CellML mathematical modeling languages55,56 and a growing software toolset supporting biological process simulation57 which cover these aspects.”

    From The BioPAX community standard for pathway data sharing (2010) · cites this paper as [55]

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Authors
Lloyd, C. M., Halstead, M. D. B., & Nielsen, P. F.
Affiliations
University of Auckland (NZ)
Corresponding author
Lloyd, Catherine M.
Venue
Progress in Biophysics and Molecular Biology
Publisher
Elsevier BV
Published
2004-06
Volume
85
Issue
2-3
Pages
433-450
ISSN
0079-6107 (ISSN-L)
OpenAlex
W2042880070
Cited by
499
References
27
Citations by year
2026: 4 · 2025: 4 · 2024: 12 · 2023: 4 · 2022: 12 · 2021: 10 · 2020: 17 · 2019: 10 · 2018: 12 · 2017: 10 · 2016: 18 · 2015: 24 · 2014: 24 · 2013: 28 · 2012: 28
FWCI
14.55
Type
journal article
Language
en
Open access
Locations
  • Progress in Biophysics and Molecular Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Directorate for Biological Sciences
Topics
  • 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
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Modeling and Simulation Systems
Keywords
CellML, electrophysiological model, ontology integration
MeSH terms
Algorithms, Animals, Cell Physiological Phenomena, Computer Simulation, Humans, Models, Biological, Programming Languages, Software, Information Storage and Retrieval, Hypermedia

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