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An overview of the CellML API and its implementation

Authors :
Halstead Matt
Britten Randall
Garny Alan
Reeve Adam
Marsh Justin
Miller Andrew K
Cooper Jonathan
Nickerson David P
Nielsen Poul F
Source :
BMC Bioinformatics, Vol 11, Iss 1, p 178 (2010)
Publication Year :
2010
Publisher :
BMC, 2010.

Abstract

Abstract Background CellML is an XML based language for representing mathematical models, in a machine-independent form which is suitable for their exchange between different authors, and for archival in a model repository. Allowing for the exchange and archival of models in a computer readable form is a key strategic goal in bioinformatics, because of the associated improvements in scientific record accuracy, the faster iterative process of scientific development, and the ability to combine models into large integrative models. However, for CellML models to be useful, tools which can process them correctly are needed. Due to some of the more complex features present in CellML models, such as imports, developing code ab initio to correctly process models can be an onerous task. For this reason, there is a clear and pressing need for an application programming interface (API), and a good implementation of that API, upon which tools can base their support for CellML. Results We developed an API which allows the information in CellML models to be retrieved and/or modified. We also developed a series of optional extension APIs, for tasks such as simplifying the handling of connections between variables, dealing with physical units, validating models, and translating models into different procedural languages. We have also provided a Free/Open Source implementation of this application programming interface, optimised to achieve good performance. Conclusions Tools have been developed using the API which are mature enough for widespread use. The API has the potential to accelerate the development of additional tools capable of processing CellML, and ultimately lead to an increased level of sharing of mathematical model descriptions.

Details

Language :
English
ISSN :
14712105
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.1e4fad5ad562490babf5c9c6c221f7df
Document Type :
article
Full Text :
https://doi.org/10.1186/1471-2105-11-178