ML surrogates for minimal genome design

This repository contains the data used to train the ML surrogates presented in the paper 'Accelerated design of Escherichia coli genomes with reduced size using a whole-cell model and machine learning'. It also contains the data used to perform the GO analysis and the comparison between the minimal genome and wildtype cells.

Complete download (zip, 1.6 GiB)

Creator(s) Lucia Marucci, Claire Grierson, Joshua Rees, Ioana Gherman, Thomas Gorochowski, Zahraa Abdallah
Publication date 10 Jun 2024
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
Total size 1.6 GiB

Sub-levels

Data Resources