期刊
FRONTIERS IN GENETICS
卷 7, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2016.00163
关键词
single-cell genomics; single-cell analysis; bioinformatics; heterogeneity; microevolution
资金
- NIEHS through trans-NIH Big Data to Knowledge (BD2K) initiative [K01ES025434]
- NIH/NIGMS [P20 COBRE GM103457]
- NLM [1R01LM012373]
- Hawaii Community Foundation [14ADVC-64566]
The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to revolutionize our understanding of diseases and associated biological processes at an unprecedented resolution. It opens the door to reveal intercellular heterogeneity and has been employed to a variety of applications, ranging from characterizing cancer cells subpopulations to elucidating tumor resistance mechanisms. Parallel to improving experimental protocols to deal with technological issues, deriving new analytical methods to interpret the complexity in scRNA-Seq data is just as challenging. Here, we review current state-of-the-art Bioinformatics tools and methods for scRNA-Seq analysis, as well as addressing some critical analytical challenges that the field faces.
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