Finkelstein, A and Hetherington, J and Saffrey, P and Warner, A (2003) Model Orchestration: Addressing the Model Management Challenges of Systems Biology. University College London Dept. of Computer Science
![[img]](/style/images/fileicons/application_pdf.png)
| PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 180Kb |
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 > School of Life and Medical Sciences > Faculty of Life Sciences |
View download statistics for this itemArchive Staff Only: edit this record