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Graph Theory and Networks in Biology |
Mason, Oliver; Verwoerd, Mark
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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.
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Keyword(s):
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Biology; Computer Science; Biology computing; Complex networks; Diseases; Graph theory; Molecular biophysics; Bio-molecular networks; Centrality measures; Disease propagation; Hierarchical structure; Network motifs; Synchronisation; Hamilton Institute. |
Publication Date:
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2007 |
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Type:
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Journal article |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Citation(s):
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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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Publisher(s):
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The Institution of Engineering and Technology |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://mural.maynoothuniversity.ie/1885/1/HamiltonMasonGraphTheory.pdf |
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First Indexed:
2020-01-31 06:00:10 Last Updated:
2020-04-02 07:41:21 |
