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bioRxiv · 10.1101/2021.07.30.454464

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

Kariyawasam, H.·Su, S.·Voogd, O.·Ritchie, M. E.·Law, C. W.
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Abstract

Glimma 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Here, we present a major update to Glimma which brings improved inter-activity and reproducibility using high-level visualisation frame-works 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.

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Kariyawasam, H., Su, S., Voogd, O., Ritchie, M. E., Law, C. W.. 2021-08-01. Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0. https://doi.org/10.1101/2021.07.30.454464

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