Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks

Jennifer S. Hallinan; Anil Wipat

doi:10.1109/CIBCB.2008.4675763

Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks

Jennifer S. Hallinan, Anil Wipat

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

The concept of a network motif - a small set of interacting genes which produce a predictable behaviour at the network level - has attracted considerable attention amongst network analysts. It is of particular interest to synthetic biology, a new discipline which aims to apply engineering principles to biological systems. The modular nature of network motifs would make them ideal candidates for the basic components of an engineered organism. In this paper we investigate the relationship between the presence of network motifs and oscillatory dynamics in a yeast transcriptional network and a set of computational networks, evolved to exhibit oscillatory behaviour. Our results do not support the hypothesis that network motifs are critical to network dynamics, possibly because they are tightly connected to many other components of the complex cell-wide transcriptional network.

Original language	English
Title of host publication	2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	83-89
Number of pages	7
ISBN (Print)	9781424417780
DOIs	https://doi.org/10.1109/CIBCB.2008.4675763
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 - Sun Valley, ID, United States Duration: 15 Sept 2008 → 17 Sept 2008

Other

Other	2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08
Country/Territory	United States
City	Sun Valley, ID
Period	15/09/08 → 17/09/08

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10.1109/CIBCB.2008.4675763

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Hallinan, J. S., & Wipat, A. (2008). Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks. In 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (pp. 83-89). Article 4675763 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CIBCB.2008.4675763

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title = "Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks",

abstract = "The concept of a network motif - a small set of interacting genes which produce a predictable behaviour at the network level - has attracted considerable attention amongst network analysts. It is of particular interest to synthetic biology, a new discipline which aims to apply engineering principles to biological systems. The modular nature of network motifs would make them ideal candidates for the basic components of an engineered organism. In this paper we investigate the relationship between the presence of network motifs and oscillatory dynamics in a yeast transcriptional network and a set of computational networks, evolved to exhibit oscillatory behaviour. Our results do not support the hypothesis that network motifs are critical to network dynamics, possibly because they are tightly connected to many other components of the complex cell-wide transcriptional network.",

author = "Hallinan, {Jennifer S.} and Anil Wipat",

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doi = "10.1109/CIBCB.2008.4675763",

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pages = "83--89",

booktitle = "2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08 ; Conference date: 15-09-2008 Through 17-09-2008",

}

Hallinan, JS & Wipat, A 2008, Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks. in 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology., 4675763, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 83-89, 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '08, Sun Valley, ID, United States, 15/09/08. https://doi.org/10.1109/CIBCB.2008.4675763

Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks. / Hallinan, Jennifer S.; Wipat, Anil.
2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 83-89 4675763.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - The concept of a network motif - a small set of interacting genes which produce a predictable behaviour at the network level - has attracted considerable attention amongst network analysts. It is of particular interest to synthetic biology, a new discipline which aims to apply engineering principles to biological systems. The modular nature of network motifs would make them ideal candidates for the basic components of an engineered organism. In this paper we investigate the relationship between the presence of network motifs and oscillatory dynamics in a yeast transcriptional network and a set of computational networks, evolved to exhibit oscillatory behaviour. Our results do not support the hypothesis that network motifs are critical to network dynamics, possibly because they are tightly connected to many other components of the complex cell-wide transcriptional network.

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BT - 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

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Y2 - 15 September 2008 through 17 September 2008

ER -

Network motifs in context: an exploration of the evolution of oscillatory dynamics in transcriptional networks

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