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
APA
Chicago
ICMJE
MLA
NLM
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