DocumentCode :
757122
Title :
Graph theory and networks in Biology
Author :
Mason, O. ; Verwoerd, M.
Author_Institution :
Hamilton Inst., Co. Kildare, Maynooth
Volume :
1
Issue :
2
fYear :
2007
fDate :
3/1/2007 12:00:00 AM
Firstpage :
89
Lastpage :
119
Abstract :
A survey of the use of graph theoretical techniques in Biology is presented. In particular, recent work on identifying and modelling the structure of bio-molecular networks is discussed, 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 synchronisation and disease propagation.
Keywords :
biology computing; complex networks; diseases; graph theory; molecular biophysics; bio-molecular networks; centrality measures; disease propagation; graph theory; hierarchical structure; network motifs; synchronisation;
fLanguage :
English
Journal_Title :
Systems Biology, IET
Publisher :
iet
ISSN :
1751-8849
Type :
jour
DOI :
10.1049/iet-syb:20060038
Filename :
4140672
Link To Document :
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