A biological network is an abstract representation of a biological system as a graph in which nodes in the graph represent components in the system (genes, cells, molecules) and links between the nodes represent interactions between components. Links may be weighted to represent strength of interactions. The resulting graph has a particular topology which can be used to understand function.
Recent advances in technology have resulted in an explosion in the amount of data that can be collected from biological systems. Techniques such as mass spectrometry, yeast two-hybrid assays, and other high-throughput methods have enabled significant advances in the identification of components, expression patterns, and interactions within biological systems. Analyzing such vast data sets is challenging. Furthermore, the data sets are often incomplete and perhaps inaccurate. However, by...
KeywordsBiological network Graph Hub Motif Power law Scale-free network
References and Further Reading
- Callard R, Stark J (2007) Networks of the immune system. In: Kepes F (ed) Biological networks. Complex systems and interdisciplinary science. World-Scientific, SingaporeGoogle Scholar
- Gerhart J, Kirschner MW (1997) Cells, embryos and evolution: towards a cellular and developmental understanding of phenotypic variation and evolutionary adaptability. Blackwell, OxfordGoogle Scholar
- Kepes F (ed) (2007) Biological networks. Complex systems and interdisciplinary science. World-Scientific, SingaporeGoogle Scholar
- Wuchty S, Ravasz E, Barabaśi A-L (2003) The architecture of biological networks. In: Deisboeck TS, Yasha Kresh J, Kepler TB (eds) Complex systems in biomedicine. Kluwer, New YorkGoogle Scholar