Yeast-MetaTwin-zenodo

NIAID Data Ecosystem2026-05-02 收录

酵母代谢工程

逆生物合成

数据链接：

https://zenodo.org/record/13893230 数据链接链接失效反馈

官方服务：

资源简介：

Dataset for the github repository containing the code for the manuscript "Yeast-MetaTwin for Systematically Exploring Yeast Metabolism through Retrobiosynthesis and Deep Learning".

创建时间：

2024-10-05

Additional file 2 of Machine learning and comparative genomics approaches for the discovery of xylose transporters in yeast

木糖转运蛋白识别

酵母代谢工程

Additional file 2: Table S2. Xylose transporters used as positive samples for machine learning, including Uniprot accession, organism and publication describing xylose utilization.

Figshare2022-05-21 更新50

Comparison of Labeling Methods for gene expression analysis on the NimbleGen platform. Saccharomyces cerevisiae

基因表达标记

酵母代谢工程

Comparison of ds-cDNA, Indirect and Direct Random Labeling Methods for gene expression analysis on the NimbleGen platform. Expression profiles from artemisinic acid-producing S. cerevisiae strain EPY3

NIAID Data Ecosystem50

Effects of Pyruvate Decarboxylase Overproduction on Flux Distribution at the Pyruvate Branch Point in Saccharomyces cerevisiae

酵母代谢工程

黄酮代谢调控

A multicopy plasmid carrying the PDC1 gene (encoding pyruvate decarboxylase; Pdc) was introduced in Saccharomyces cerevisiae CEN.PK113-5D. The physiology of the resulting prototrophic strain was compa

PubMed Central10

Transcriptome analysis of xylose-fermenting yeast in industrial and laboratory fermentations. Saccharomyces cerevisiae strain:Celere-2L

酵母代谢工程

生物发酵工艺

This project consists of the transcriptome analysis of a xylose-fermenting yeast, called Celere-2L(C2L), under industrial and laboratory conditions. Four fermentation time points were collected for ea

NIAID Data Ecosystem50

Yarrowia lipolytica Gene Expression Profiling - mae CIT 3 transcriptome. Yarrowia lipolytica strain:FKP679

细菌转录组学

酵母代谢工程

Yarrowia lipolytica Gene Expression Profiling; Cells grown in Yeast Nitrogen Base (YNB) medium with citrate as carbon source

NIAID Data Ecosystem20