Mason, Oliver and Verwoerd, Mark (2007) Graph Theory and Networks in Biology. IET Systems Biology, 1 (2). pp. 89-119. ISSN 1751-8857

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Abstract

In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particular, we discuss recent work on identifying and modelling the structure of bio-molecular networks, as well as the application of centrality measures to interaction networks and research on the hierarchical structure of such networks and network motifs. Work on the link between structural network properties and dynamics is also described, with emphasis on synchronization and disease propagation.

Item Type:	Article
Additional Information:	©2007 IET. Reprinted from IET Systems Biology. http://scitation.aip.org/dbt/dbt.jsp?KEY=ISBEAT&Volume=1&Issue=2
Keywords:	Biology computing; Complex networks; Diseases; Graph theory; Molecular biophysics; Bio-molecular networks; Centrality measures; Disease propagation; Graph theory; Hierarchical structure; Network motifs; Synchronisation; Hamilton Institute.
Academic Unit:	Faculty of Science and Engineering > Biology Faculty of Science and Engineering > Computer Science
Item ID:	1885
Identification Number:	https://doi.org/10.1049/iet-syb:20060038
Depositing User:	Hamilton Editor
Date Deposited:	15 Mar 2010 10:42
Journal or Publication Title:	IET Systems Biology
Publisher:	The Institution of Engineering and Technology
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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