OEFinder: A user interface to identify and visualize ordering effects in single-cell RNA-seq data

Bioinformatics

Volumn 32, Issue 9, 2016, Pages 1408-1410

  Leng, Ning ^a   Choi, Jeea ^a   Chu, Li Fang ^a   Thomson, James A ^a   Kendziorski, Christina ^b   Stewart, Ron ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RNA;

ANIMAL; SEQUENCE ANALYSIS; SINGLE CELL ANALYSIS; SOFTWARE;

ANIMALS; RNA; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; SOFTWARE;

EID: 84962711132     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw004     Document Type: Article

References (6)

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2. Deng, Q. et al. (2014) Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells. Science, 343, 193-196.
3. Leng, N. et al. (2015) Oscope: a pipeline for identifying oscillatory genes in unsynchronized single cell RNA-seq experiments. Nat. Methods 12, 947-950.
4. Shalek, A.K. et al. (2014) Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature, 510, 363-369.
5. Trapnell, C. et al. (2014) The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol., 32, 381-386.
6. Treutlein, B. et al. (2014) Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature, 509, 371-375.