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Scripts connected to the scientific publication: Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models

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sorpet/Zhang_and_Petersen_et_al_2019

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Zhang and Petersen et al 2020

This repository contains a notebook called ZP_et_al.ipynb which again contains the analysis performed in publication Zhang and Petersen et al 2020 for anyone interested and who wants to reproduce our results. The analysis was made in python.

All genotype and time series data are available at public JBEI-ICE and JBEI-EDD, respectively under the study 'Zhang and Petersen, et al 2020'. A copy of this data is also provided here for those who does not wish to create the respective accounts (ice.csv and edd.csv.zip).

The repository also contains a file called utility_ZP.py which contains utility functions that are called from within the notebook ZP_et_al.ipynb.

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Scripts connected to the scientific publication: Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models

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