Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0

• Main Authors: Kariyawasam, H. (Author), Law, C.W (Author), Ritchie, M.E (Author), Su, S. (Author), Voogd, O. (Author)
• Format: Article
• Language: English
• Published: Oxford University Press 2021
• Subjects: article; gene expression; gene expression profiling; multidimensional scaling; reproducibility; RNA sequencing; volcano
• Online Access: View Fulltext in Publisher

 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. © 2021 The Author(s). Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.