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ViDGER: An R package for integrative interpretation of differential gene expression results of RNA-seq data

By Adam McDermaid, Brandon Monier, Jing Zhao, Qin Ma

Posted 21 Feb 2018
bioRxiv DOI: 10.1101/268896 (published DOI: 10.1093/bib/bby067)

Differential gene expression (DGE) is one of the most common applications of RNA-sequencing (RNA-seq) data. This process allows for the elucidation of differentially expressed genes (DEGs) across two or more conditions. Interpretation of the DGE results can be non-intuitive and time consuming due to the variety of formats based on the tool of choice and the numerous pieces of information provided in these results files. Here we present an R package, ViDGER (Visualization of Differential Gene Expression Results using R), which contains nine functions that generate information-rich visualizations for the interpretation of DGE results from three widely-used tools, Cuffdiff, DESeq2, and edgeR.

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