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Model Orchestration: Addressing the Model Management Challenges of Systems Biology

Finkelstein, A; Hetherington, J; Saffrey, P; Warner, A; (2003) Model Orchestration: Addressing the Model Management Challenges of Systems Biology. University College London Dept. of Computer Science Green open access

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Abstract

Biological modelling is an increasingly complex and diverse firld. As well as developing new models for biological phenomena, there is a need to integrate existing models and scale up to investigate higher level behaviour. To achieve this integration, techniques and tools are required to catalogue and understand existing models, and to support the development of new models ready for integration. We describe our approach to this problem and validate the approach with examples.

Type: Report
Title: Model Orchestration: Addressing the Model Management Challenges of Systems Biology
Open access status: An open access version is available from UCL Discovery
Keywords: biology, CHALLENGE, Management, model, SYSTEM, SYSTEMS
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1142
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