Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0. (22nd December 2021)

• Record Type: Journal Article
• Authors: Kariyawasam, Hasaru; Su, Shian; Voogd, Oliver; Ritchie, Matthew E; Law, Charity W
• Is Part Of: NAR genomics and bioinformatics. Volume 3:issue 4(2021)
• Publication Date: 2021-12-22
• Subjects: Genomics -- Periodicals; Bioinformatics -- Periodicals; 572.8
• DOI: 10.1093/nargab/lqab116
• Languages: English
• ISSNs: 2631-9268

Abstract

Abstract: Glimma 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Here, we present a major update to Glimma that brings improved interactivity and reproducibility using high-level visualization frameworks for R and JavaScript. Glimma 2.0 plots are now readily embeddable in R Markdown, thus allowing users to create reproducible reports containing interactive graphics. The revamped multidimensional scaling plot features dashboard-style controls allowing the user to dynamically change the colour, shape and size of sample points according to different experimental conditions. Interactivity was enhanced in the MA-style plot for comparing differences to average expression, which now supports selecting multiple genes, export options to PNG, SVG or CSV formats and includes a new volcano plot function. Feature-rich and user-friendly, Glimma makes exploring data for gene expression analysis more accessible and intuitive and is available on Bioconductor and GitHub.