Dynamic characterization of growth and gene expression using high-throughput automated flow cytometry

被引：0
|
作者：
Ignacio A Zuleta
Andrés Aranda-Díaz
Hao Li
Hana El-Samad
机构：
[1] University of California,Department of Biochemistry and Biophysics
[2] San Francisco,undefined
[3] The California Institute for Quantitative Biosciences,undefined
来源：
Nature Methods | 2014年 / 11卷
关键词：
D O I：
暂无
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学科分类号：
摘要：
An automated flow cytometry setup is described for dynamic and quantitative measurements of yeast growth and molecular phenotypes at high throughput.
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页码：443 / 448
页数：5
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