Research data supporting "A Tool for Exploiting Complex Adaptive Evolution to Optimise Protocols for Biological Experiments"
Description
CamOptimus is a tool for applying Genetic Algorithm (GA) to solve multi-parametric optimisation problems and Symbolic Regression (SR) to obtain models using the data generated during optimisation procedure to investigate the effect of individual parameters on the system of interest. The source code for the compiled software, and the Graphical User Interface (GUI) of the application are available under free licensing (GNU General Public License v3.0). The user manual is supplied in the compressed folder.
$\textbf{Important information}$: access to the files for this software has been restricted as they are out of date. The software is available on Github, where updated documentation and new releases are available. $\href{https://github.com/DuyguD}{\text{https://github.com/DuyguD}}$.
Format
Requires MATLAB Runtime Installer (version 9.0.1)
Keywords
Evolutionary Algorithm, Genetic Algorithm, Symbolic Regression, Experimental Design
Relationships
Publication Reference: https://doi.org/10.1099/mic.0.000477
Sponsorship
The University of Cambridge Synthetic Biology Research Initiative
[SynBio Fund: CamOptimus] to DD, ACC, JMLD
Funder references
Biotechnology and Biological Sciences Research Council (BB/K011138/1)
European Commission (289126)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.10257
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics
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Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)