Normalizing single-cell RNA sequencing data: challenges and opportunities-Reference-Cited by-同舟云学术

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Normalizing single-cell RNA sequencing data: challenges and opportunities

Published:2017-05-15 Issue:6 Volume:14 Page:565-571
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Vallejos Catalina A,Risso Davide,Scialdone Antonio,Dudoit Sandrine,Marioni John C

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/nmeth.4292.pdf

Reference46 articles.

1. Tang, F. et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat. Methods 6, 377–382 (2009).

2. Shapiro, E., Biezuner, T. & Linnarsson, S. Single-cell sequencing-based technologies will revolutionize whole-organism science. Nat. Rev. Genet. 14, 618–630 (2013).

3. Stegle, O., Teichmann, S.A. & Marioni, J.C. Computational and analytical challenges in single-cell transcriptomics. Nat. Rev. Genet. 16, 133–145 (2015).

4. Saliba, A.-E., Westermann, A.J., Gorski, S.A. & Vogel, J. Single-cell RNA-seq: advances and future challenges. Nucleic Acids Res. 42, 8845–8860 (2014).

5. Gawad, C., Koh, W. & Quake, S.R. Single-cell genome sequencing: current state of the science. Nat. Rev. Genet. 17, 175–188 (2016).

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