Data-Driven Strain Design Using Aggregated Adaptive Laboratory Evolution Mutational Data
P. V. Phaneuf, D. C. Zielinski, J. T. Yurkovich…·A. Feist
This paper presents a data-driven workflow to design microbial strains using aggregated ALE mutational data, revealing gene-centric mutations that significantly alter cellular states.