Shiny-Seq: advanced guided transcriptome analysis-Reference-Cited by-同舟云学术

Shiny-Seq: advanced guided transcriptome analysis

Published:2019-07-18 Issue:1 Volume:12 Page:
ISSN:1756-0500
Container-title:BMC Research Notes
language:en
Short-container-title:BMC Res Notes

Author:

Sundararajan Zenitha,Knoll Rainer,Hombach Peter,Becker Matthias,Schultze Joachim L.,Ulas Thomas^ORCID

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s13104-019-4471-1.pdf

Reference19 articles.

1. Shirley N. Transcriptomics technologies. PLoS Comput Biol. 2017;13(5):e1005457.

2. Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016;34(5):525–7.

3. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550.

4. Love MI, Anders S, Huber W. Analyzing RNA-seq data with DESeq2; 2019. http://bioconductor.org/packages/devel/bioc/vignettes/DESeq2/inst/doc/DESeq2.html .

5. Leek JT, Storey JD. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet. 2007;3:e161.

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