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ML surrogates for minimal genome design

    Dataset

    Description

    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.
    Date made available16 May 2024
    PublisherUniversity of Bristol

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