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METAMorph: Experimenting with genetic regulatory networks for artificial development

Publication ,  Journal Article
Stewart, F; Taylor, T; Konidaris, G
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2005

We introduce METAMorph, an open source software platform for the experimental design of simulated cellular development processes using genomes encoded as genetic regulatory networks (GRNs). METAMorph allows researchers to design GRNs by hand and to visualise the resulting morphological growth process. As such, it is a tool to aid researchers in developing an understanding of the expressive properties of GRNs. We describe the software and present our preliminary observations in the form of techniques for realising some common structures. © Springer-Verlag Berlin Heidelberg 2005.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2005

Volume

3630 LNAI

Start / End Page

108 / 117

Related Subject Headings

  • Artificial Intelligence & Image Processing
 

Citation

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Stewart, F., Taylor, T., & Konidaris, G. (2005). METAMorph: Experimenting with genetic regulatory networks for artificial development. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3630 LNAI, 108–117. https://doi.org/10.1007/11553090_12
Stewart, F., T. Taylor, and G. Konidaris. “METAMorph: Experimenting with genetic regulatory networks for artificial development.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3630 LNAI (January 1, 2005): 108–17. https://doi.org/10.1007/11553090_12.
Stewart F, Taylor T, Konidaris G. METAMorph: Experimenting with genetic regulatory networks for artificial development. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Jan 1;3630 LNAI:108–17.
Stewart, F., et al. “METAMorph: Experimenting with genetic regulatory networks for artificial development.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3630 LNAI, Jan. 2005, pp. 108–17. Scopus, doi:10.1007/11553090_12.
Stewart F, Taylor T, Konidaris G. METAMorph: Experimenting with genetic regulatory networks for artificial development. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Jan 1;3630 LNAI:108–117.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2005

Volume

3630 LNAI

Start / End Page

108 / 117

Related Subject Headings

  • Artificial Intelligence & Image Processing