Quantitative analysis of redundancy in evolution of developmental systems

Schramm L, Jin Y, Sendhoff B (2012)
In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE: 61-68.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Schramm, Lisa; Jin, YaochuUniBi ; Sendhoff, Bernhard
Abstract / Bemerkung
Redundancy is believed to play a key role in robustness and evolvability of biological systems. This paper investigates the influence of redundancy on the evolutionary performance of a gene regulatory network governing a cellular growth process. Extensive simulation results suggest that, for the developmental model studied in this work, maintaining sufficient redundancy helps to improve the ability of the evolutionary algorithm to achieve better performance. To examine the change of redundancy during the evolutionary process and its relationship to evolutionary performance, we propose a quantitative definition for measuring different aspects of redundancy, namely, structural redundancy, functional redundancy and functional proximity. Our results show that evolution attempts to increase the functional redundancy after pruning of redundant genes if the evolution is under a larger selection pressure. It is also interesting to notice that an increase in functional proximity enhances the evolutionary performance.
Erscheinungsjahr
2012
Titel des Konferenzbandes
2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Seite(n)
61-68
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/2978587

Zitieren

Schramm L, Jin Y, Sendhoff B. Quantitative analysis of redundancy in evolution of developmental systems. In: 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE; 2012: 61-68.
Schramm, L., Jin, Y., & Sendhoff, B. (2012). Quantitative analysis of redundancy in evolution of developmental systems. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 61-68. IEEE. https://doi.org/10.1109/CIBCB.2012.6217212
Schramm, Lisa, Jin, Yaochu, and Sendhoff, Bernhard. 2012. “Quantitative analysis of redundancy in evolution of developmental systems”. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 61-68. IEEE.
Schramm, L., Jin, Y., and Sendhoff, B. (2012). “Quantitative analysis of redundancy in evolution of developmental systems” in 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (IEEE), 61-68.
Schramm, L., Jin, Y., & Sendhoff, B., 2012. Quantitative analysis of redundancy in evolution of developmental systems. In 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, pp. 61-68.
L. Schramm, Y. Jin, and B. Sendhoff, “Quantitative analysis of redundancy in evolution of developmental systems”, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), IEEE, 2012, pp.61-68.
Schramm, L., Jin, Y., Sendhoff, B.: Quantitative analysis of redundancy in evolution of developmental systems. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). p. 61-68. IEEE (2012).
Schramm, Lisa, Jin, Yaochu, and Sendhoff, Bernhard. “Quantitative analysis of redundancy in evolution of developmental systems”. 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, 2012. 61-68.

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