Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0
- Author(s)
- Kariyawasam, H; Su, S; Voogd, O; Ritchie, ME; Law, CW;
- Details
- Publication Year 2021-12,Volume 3,Issue #4,Page lqab116
- Journal Title
- NAR Genomics and Bioinformatics
- 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.
- Publisher
- Oxford Academic
- Research Division(s)
- Epigenetics And Development
- PubMed ID
- 34988439
- Publisher's Version
- https://doi.org/10.1093/nargab/lqab116
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
- Documents
Creation Date: 2022-02-07 10:12:19
Last Modified: 2022-02-08 11:40:02