Data for: MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae

Name: Data for: MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae
Creator: Chong Zhang
Published: 2018-05-16T08:00:55.545Z
Keywords: Machine Learning, Synthetic Biology, Yeast, Metabolic Engineering

Zhang, Chong; Dong, Junkai; Dai, Junbiao; Li, Gang; Xing, Xinhui; Zhou, Yikang

doi:10.17632/gyw62w9dft.1

Data for: MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae

Published: 16 May 2018| Version 1 | DOI: 10.17632/gyw62w9dft.1

Contributors:

Chong Zhang,

Junkai Dong,

Junbiao Dai,

Gang Li,

Xinhui Xing,

Yikang Zhou

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In addition to data presented in the manuscript, additional data is available in the Supplementary Data files, which also contains the program code.

Data for: MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae

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