Design and computational analysis of single-cell RNA-sequencing experiments.
Design and computational analysis of single-cell RNA-sequencing experiments.
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单细胞RNA测序实验的设计与计算分析
DOI：
10.1186/s13059-016-0927-y
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发表时间：
2016-04-07
期刊：
影响因子：
12.3
通讯作者：
Kendziorski C
中科院分区：
文献类型：
--
作者：
Bacher R;Kendziorski C
单细胞RNA序列（SCRNA-SEQ）已成为一种革命性的工具，它使我们能够解决几年前避开检查的科学问题。随着Scrna-Seq的优势，刚刚开始解决的计算挑战。在本文中，我们重点介绍了用于设计和分析SCRNA-SEQ实验的计算方法，它们在各种环境中的优势和缺点，需要新颖方法的开放问题以及预期在这个令人兴奋的领域的未来发展。
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.