{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kariyawasam H"],"funding":["Chan Zuckerberg Initiative Essential Open Source Software for Science Program"],"pagination":["lqab116"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8693569"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["3(4)"],"pubmed_abstract":["<i>Glimma</i> 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Here, we present a major update to <i>Glimma</i> that brings improved interactivity and reproducibility using high-level visualization frameworks for R and JavaScript. <i>Glimma</i> 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 opti"],"journal":["NAR genomics and bioinformatics"],"pubmed_title":["Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with <i>Glimma</i> 2.0."],"pmcid":["PMC8693569"],"funding_grant_id":["2019-207283"],"pubmed_authors":["Su S","Kariyawasam H","Voogd O","Ritchie ME","Law CW"],"additional_accession":[]},"is_claimable":false,"name":"Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with <i>Glimma</i> 2.0.","description":"<i>Glimma</i> 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Here, we present a major update to <i>Glimma</i> that brings improved interactivity and reproducibility using high-level visualization frameworks for R and JavaScript. <i>Glimma</i> 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 opti","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Dec","modification":"2025-04-22T10:16:56.942Z","creation":"2022-02-11T14:47:36.94Z"},"accession":"S-EPMC8693569","cross_references":{"pubmed":["34988439"],"doi":["10.1093/nargab/lqab116"]}}