生物
单细胞测序
计算生物学
DNA测序
单细胞分析
杠杆(统计)
癌症基因组测序
深度测序
基因组学
基因组
遗传学
细胞
参考基因组
DNA
外显子组测序
基因
突变
计算机科学
机器学习
作者
Dominic Grün,Alexander van Oudenaarden
出处
期刊:Cell
[Elsevier]
日期:2015-11-01
卷期号:163 (4): 799-810
被引量:461
标识
DOI:10.1016/j.cell.2015.10.039
摘要
Recent advances in single-cell sequencing hold great potential for exploring biological systems with unprecedented resolution. Sequencing the genome of individual cells can reveal somatic mutations and allows the investigation of clonal dynamics. Single-cell transcriptome sequencing can elucidate the cell type composition of a sample. However, single-cell sequencing comes with major technical challenges and yields complex data output. In this Primer, we provide an overview of available methods and discuss experimental design and single-cell data analysis. We hope that these guidelines will enable a growing number of researchers to leverage the power of single-cell sequencing.
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