生物
计算生物学
DNA测序
核糖核酸
新兴技术
集合(抽象数据类型)
DNA
生物信息学
基因组学
数据科学
领域(数学)
基因组测序
作者
Yong Wang,Nicholas E. Navin
出处
期刊:Molecular Cell
[Elsevier]
日期:2015-05-01
卷期号:58 (4): 598-609
被引量:690
标识
DOI:10.1016/j.molcel.2015.05.005
摘要
Single-cell sequencing (SCS) has emerged as a powerful new set of technologies for studying rare cells and delineating complex populations. Over the past 5 years, SCS methods for DNA and RNA have had a broad impact on many diverse fields of biology, including microbiology, neurobiology, development, tissue mosaicism, immunology, and cancer research. In this review, we will discuss SCS technologies and applications, as well as translational applications in the clinic. Single-cell sequencing (SCS) has emerged as a powerful new set of technologies for studying rare cells and delineating complex populations. Over the past 5 years, SCS methods for DNA and RNA have had a broad impact on many diverse fields of biology, including microbiology, neurobiology, development, tissue mosaicism, immunology, and cancer research. In this review, we will discuss SCS technologies and applications, as well as translational applications in the clinic.
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