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