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: 16-05-2018| Version 1 | DOI: 10.17632/gyw62w9dft.1

Contributors:

Chong Zhang,

Junkai Dong,

Junbiao Dai,

Gang Li,

Xinhui Xing,

Yikang Zhou

Description

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

Description

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