Towards an ontology of biomodelling

Authors:
Larisa Soldatova;Qian Gao;David Gilbert
Affiliations:
Department of Information Systems and Computing, Brunel University, London, UK;Department of Information Systems and Computing, Brunel University, London, UK;Department of Information Systems and Computing, Brunel University, London, UK
Venue:
CMSB'12 Proceedings of the 10th international conference on Computational Methods in Systems Biology
Year:
2012

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Abstract

We present a core Ontology of Biomodelling (OBM), which formally defines principle entities of modelling of biological systems, and follows a structural approach for the engineering of biochemical network models. OBM is fully interoperable with relevant resources, e.g. GO, SBML, ChEBI, and the recording of biomodelling knowledge with Ontology of Biomedical investigations (OBI) ensures efficient sharing and re-use of information, reproducibility of developed biomodels, retrieval of information regarding tools, methods, tasks, bio-models and their parts. An initial version of OBM is available at disc.brunel.ac.uk/obm .