GENAVi is a Shiny web app that provides four types of data normalization, four types of data visualization, differential expression analysis (DEA) and gene set enrichment analysis using count level RNA-Seq data. GENAVi can be used to analyze the provided RNA-Seq datasets or users can upload their own mouse or human RNA-seq data for normalization and analysis. The application currently provides a panel of cell lines that are commonly used as models for ovarian and breast cancer in various research programs. The second feature of GENAVi is the visualization of gene expression across samples. This is accomplished in four separate outputs within the “Visualization” tab. The first two plots can be viewed under the “Expression plots” subtab. When the user wants to view the expression of a single gene across all samples and selects this gene in the data table, a bar plot is generated in the plotting subtab.

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