期刊
GENOME BIOLOGY
卷 17, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s13059-016-0927-y
关键词
-
资金
- NIH [R01GM102756, U54 AI117924]
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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