CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data-Reference-Cited by-同舟云学术

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CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data

Published:2016-09-13 Issue:1 Volume:17 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

duVerle David A.,Yotsukura Sohiya,Nomura Seitaro,Aburatani Hiroyuki,Tsuda Koji

Funder

Japan Society for the Promotion of Science

Core Research for Evolutional Science and Technology, Japan Science and Technology Agency

National Institute for Materials Science

RIKEN

Japan Science and Technology Agency

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-016-1175-6.pdf

Reference50 articles.

1. Saliba AE, Westermann AJ, Gorski SA, Vogel J. Single-cell rna-seq: advances and future challenges. Nucleic Acids Res. 2014; 555.

2. Moignard V, Macaulay IC, Swiers G, Buettner F, Schütte J, Calero-Nieto FJ, Kinston S, Joshi A, Hannah R, Theis FJ, et al.Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nat Cell Biol. 2013; 15(4):363–72.

3. Xue Z, Huang K, Cai C, Cai L, Jiang C-Y, Feng Y, Liu Z, Zeng Q, Cheng L, Sun YE, et al.Genetic programs in human and mouse early embryos revealed by single-cell rna sequencing. Nature. 2013; 500(7464):593–7.

4. Stegle O, Teichmann SA, Marioni JC. Computational and analytical challenges in single-cell transcriptomics. Nat Rev Genet. 2015; 16(3):133–45.

5. Tang F, Barbacioru C, Bao S, Lee C, Nordman E, Wang X, Lao K, Surani MA. Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell rna-seq analysis. Cell Stem Cell. 2010; 6(5):468–78.

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