Design and computational analysis of single-cell RNA-sequencing experiments.

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

引用：Bacher R, Kendziorski C. (2016). Design and computational analysis of single-cell RNA-sequencing experiments. Genome biology. PMID 27052890 · PMC4823857 · DOI 10.1186/s13059-016-0927-y

证据类型：REVIEW

主题：rna-seq、single-cell

被引次数（采集时）：337

原始记录：[Europe PMC](https://europepmc.org/article/MED/27052890)

来源许可：[CC-BY](https://creativecommons.org/licenses/by/)

作者摘要（按来源许可复用）

Single-cell RNA-sequencing (scRNA-seq) has emerged as a revolutionary tool that allows us to address scientific questions that eluded examination just a few years ago. With the advantages of scRNA-seq come computational challenges that are just beginning to be addressed. In this article, we highlight the computational methods available for the design and analysis of scRNA-seq experiments, their advantages and disadvantages in various settings, the open questions for which novel methods are needed, and expected future developments in this exciting area.

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