Title: Data, code and plotting scripts for "Risk-averse optimization of genetic circuits under uncertainty" Description:This repository contains the data and plotting scripts for the paper “Risk-averse optimization of genetic circuits under uncertainty” by Michal Kobiela, Diego A. Oyarzún, and Michael U. Gutmann. The repository includes: Posterior samples and Thompson samples and loss distribution evaluations from all case studies (Exemplar) Designs predictive evaluations Scripts for generating all plots presented in the paper Other files neccesary to reproduce the research e.g. MCMC chains saved as julia objects Code used for generating all the data Structure:The repository is organized into subfolders for each case study (RPA, Repressilator, Host-Aware Repressilator), further organised by data, JLS files (Julia saved objects), and plotting notebooks. Readme file has detailed tree of all the files with explonations. Licence:CC-BY 4.0Please cite this dataset if you use it in your work. This work was supported by the United Kingdom Research and Innovation (grant EP/S02431X/1), UKRI Centre for Doctoral Training in Biomedical AI at the University of Edinburgh, School of Informatics. For the purpose of open access, the author has applied a creative commons attribution (CC BY) licence to any author accepted manuscript version arising.