Abstract:
: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.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Bacher R,Kendziorski Cdoi
10.1186/s13059-016-0927-ysubject
Has Abstractpub_date
2016-04-07 00:00:00pages
63eissn
1474-7596issn
1474-760Xpii
10.1186/s13059-016-0927-yjournal_volume
17pub_type
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