Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics-Reference-Cited by-同舟云学术

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Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics

Published:2018-06-19 Issue:1 Volume:19 Page:
ISSN:1471-2164
Container-title:BMC Genomics
language:en
Short-container-title:BMC Genomics

Author:

Street Kelly,Risso Davide,Fletcher Russell B.,Das Diya,Ngai John,Yosef Nir,Purdom Elizabeth,Dudoit Sandrine^ORCID

Funder

National Institute of Mental Health

National Institute on Deafness and Other Communication Disorders

National Center for Research Resources

National Institute on Aging

National Human Genome Research Institute

Thomas and Stacey Siebel Foundation

California Institute for Regenerative Medicine

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s12864-018-4772-0.pdf

Reference32 articles.

1. Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC, Teichmann SA. The technology and biology of single-cell RNA sequencing. Mol Cell. 2015; 58(4):610–20.

2. Wagner A, Regev A, Yosef N. Revealing the vectors of cellular identity with single-cell genomics. Nat Biotechnol. 2016; 34(11):1145–60.

3. Trapnell C, Cacchiarelli D, Grimsby J, Pokharel P, Li S, Morse M, Lennon NJ, Livak KJ, Mikkelsen TS, Rinn JL. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol. 2014; 4(32):381–91.

4. Bendall S, Davis KL, Amir ED, Tadmor MD, Simonds EF, Chen TJ, Shenfeld DK, Nolan GP, Pe’er D. Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development. Cell. 2014; 157(3):714–25.

5. Campbell K, Ponting CP, Webber C. Laplacian eigenmaps and principal curves for high resolution pseudotemporal ordering of single-cell RNA-seq profiles. Technical report, Functional Genomics Unit, MRC, University of Oxford, UK. 2015. biorxiv.org/content/early/2015/09/18/027219 .

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