Combining genetic oscillators and switches using evolutionary algorithms
Thomas SA, Jin Y (2012)
In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE: 28-34.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Thomas, Spencer Angus;
Jin, YaochuUniBi
Abstract / Bemerkung
It is hypothesised that complex biological gene regulatory networks can be evolved from simple networks through modularisation, duplication and specialisation processes. However, the biological mechanisms of this process remain elusive and little work has been done to verify this hypothesis in a computational environment. This paper aims to couple two simple regulatory motifs, one toggle switch and one self-sustained oscillator using an evolutionary algorithm, which can be seen as a computational simulation of natural evolution. We have successfully evolved several complex dynamics for two different connections arrangements between the oscillator and toggle switch networks in a master/slave set up, which confirms the previously reported results achieved manually. Our results indicate that generating complex dynamics by coupling of simple motifs using simulated evolutionary mechanisms is methodologically feasible and more efficient, which can be seen as an indirect and partial verification of the above hypothesis.
Erscheinungsjahr
2012
Titel des Konferenzbandes
2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Seite(n)
28-34
Konferenz
2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Konferenzort
San Diego, CA, USA
ISBN
978-1-4673-1190-8
eISBN
978-1-4673-1191-5,
978-1-4673-1189-2
Page URI
https://pub.uni-bielefeld.de/record/2978582
Zitieren
Thomas SA, Jin Y. Combining genetic oscillators and switches using evolutionary algorithms. In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE; 2012: 28-34.
Thomas, S. A., & Jin, Y. (2012). Combining genetic oscillators and switches using evolutionary algorithms. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 28-34. IEEE. https://doi.org/10.1109/CIBCB.2012.6217207
Thomas, Spencer Angus, and Jin, Yaochu. 2012. “Combining genetic oscillators and switches using evolutionary algorithms”. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 28-34. IEEE.
Thomas, S. A., and Jin, Y. (2012). “Combining genetic oscillators and switches using evolutionary algorithms” in 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (IEEE), 28-34.
Thomas, S.A., & Jin, Y., 2012. Combining genetic oscillators and switches using evolutionary algorithms. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, pp. 28-34.
S.A. Thomas and Y. Jin, “Combining genetic oscillators and switches using evolutionary algorithms”, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE, 2012, pp.28-34.
Thomas, S.A., Jin, Y.: Combining genetic oscillators and switches using evolutionary algorithms. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). p. 28-34. IEEE (2012).
Thomas, Spencer Angus, and Jin, Yaochu. “Combining genetic oscillators and switches using evolutionary algorithms”. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2012. 28-34.