Publikation: Representing experimental biological data in metabolic networks
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This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the context of the underlying processes. Biological networks can be modelled as graphs and visualised using graph drawing methods. We present a general method for mapping experimental data onto nodes and edges of a graph and to visualise the data-enriched networks in 2 1/2 dimensions such that the data is easy to understand. Our focus is on time series data occuring during developmental analysis. We demonstrate the utility of our approach by a real world example from the seed development of barley (Hordeum vulgare).
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DWYER, Tim, Hardy ROLLETSCHEK, Falk SCHREIBER, 2004. Representing experimental biological data in metabolic networks. Second Asia-Pacific Bioinformatics Conference (APBC '04). Dunedin, New Zealand, 18. Jan. 2004 - 22. Jan. 2004. In: CHEN, Yi-Ping Phoebe, ed.. Bioinformatics 2004 : proceedings of the Second Asia-Pacific Bioinformatics Conference, Dunedin, New Zealand, January 2004. Sydney: Australian Computer Society, 2004, pp. 13-20. Conferences in research and practice in information technology. 29. ISSN 1445-1336. ISBN 1-920682-11-2BibTex
@inproceedings{Dwyer2004Repre-40360, year={2004}, title={Representing experimental biological data in metabolic networks}, url={https://dl.acm.org/citation.cfm?id=976523}, number={29}, isbn={1-920682-11-2}, issn={1445-1336}, publisher={Australian Computer Society}, address={Sydney}, series={Conferences in research and practice in information technology}, booktitle={Bioinformatics 2004 : proceedings of the Second Asia-Pacific Bioinformatics Conference, Dunedin, New Zealand, January 2004}, pages={13--20}, editor={Chen, Yi-Ping Phoebe}, author={Dwyer, Tim and Rolletschek, Hardy and Schreiber, Falk} }
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