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ShinyGO: a graphical gene-set enrichment tool for animals and plants. 4/21/2024: New barchart with GO terms on the bars. 4/12/2024: Max set size is increased to 5000 from 2000. Some meaningful GO terms (RNA biosynthetic proc.) contains 4000+ genes. You can still use the old version (ShinyGO V0.77).
April 19, 2022: ShinyGO 0.76 released. Improved pathway filtering, pathway sorting, figure downloading. Version 0.75 is available here. Feb. 11, 2022: Like ShinyGO but your genome is not covered? Customized ShinyGO is now available. Its database includes several custom genomes requested by users.
Jul 5, 2023 · This tutorial explains how to perform Gene Ontology (GO) Enrichment Analysis using ShinyGO (a cloud R Shiny server). ShinyGO is an online graphical interface...
Dec 27, 2019 · Taking advantage of the Shiny framework, which enable access to many powerful R packages for visualization and statistical analyses, we developed a new tool based on the annotation database at Ensembl and pathway databases from many other sources.
ShinyGO is an intuitive, graphical tool for enrichment analysis. Even though its species coverage is not as broad as DAVID, ShinyGO has more comprehensive gene sets regarding TF and miRNA...
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Apr 1, 2020 · ShinyGO is an intuitive, graphical web application that can help researchers gain actionable insights from gene-sets. Availability and implementation. http://ge-lab.org/go/. Supplementary information. Supplementary data are available at Bioinformatics online. Free full text. Bioinformatics. 2020 Apr 15; 36 (8): 2628–2629.
Apr 25, 2023 · 47. 3.5K views 8 months ago General analysis. Gene ontology analysis is a powerful tool that enables researchers to uncover the biological function of genes, and it has become an essential...
May 4, 2018 · ShinyGO is an intuitive, graphical web application that can help researchers gain actionable insights from gene lists. Availability: http://ge-lab.org/go/ Example outputs of ShinyGO. (A) A...
ShinyGO is an intuitive, graphical web application that can help researchers gain actionable insights from gene lists, based on a large annotation database derived from Ensembl and STRING-db for 59 plant, 256 animal, 115 archaeal, and 1678 bacterial species. Expand. View PDF. Save to Library.
