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goatea

This is the released version of goatea; for the devel version, see goatea.

All versions 3.24 (devel), 3.23 (release), 3.22

Interactive Exploration of GSEA by the GOAT Method


Bioconductor version: Release (3.23)

Geneset Ordinal Association Test Enrichment Analysis (GOATEA) provides a 'Shiny' interface with interactive visualizations and utility functions for performing and exploring automated gene set enrichment analysis using the 'GOAT' package. 'GOATEA' is designed to support large-scale and user-friendly enrichment workflows across multiple gene lists and comparisons, with flexible plotting and output options. Visualizations pre-enrichment include interactive 'Volcano' and 'UpSet' (overlap) plots. Visualizations post-enrichment include interactive geneset dotplot, geneset treeplot, gene-effectsize heatmap, gene-geneset heatmap and 'STRING' database of protein-protein-interactions network graph. 'GOAT' reference: Frank Koopmans (2024) <doi:10.1038/s42003-024-06454-5>.

Author: Maurits Unkel [aut, cre, fnd, cph] ORCID iD ORCID: 0000-0003-1920-6001

Maintainer: Maurits Unkel <mauritsunkel at gmail.com>

Citation (from within R, enter citation("goatea")):

Maurits Unkel. goatea: Interactive Exploration of GSEA by the GOAT Method. doi:10.18129/B9.bioc.goatea, R package version 2.0.0, https://bioconductor.org/packages/goatea.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("goatea")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("goatea")
1. GOATEA GUI & installation HTML R Script
2. GOATEA R package HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DifferentialExpression, FunctionalGenomics, GUI, GeneSetEnrichment, Genetics, Network, NetworkEnrichment, ShinyApps, Software, Transcriptomics, Visualization
Version2.0.0
In Bioconductor sinceBioC 3.22 (R-4.5) (1 year)
License Apache License (>= 2)
Depends R (>= 4.5.0), dplyr (>= 1.1.4)
Imports goat (>= 1.0), shiny (>= 1.10.0), shinyjs (>= 2.1.0), shinyjqui (>= 0.4.1), shinydashboard (>= 0.7.2), openxlsx (>= 4.2.7.1), upsetjs (>= 1.11.1), data.table (>= 1.18.2.1), ComplexHeatmap (>= 2.24.0), InteractiveComplexHeatmap (>= 1.12.0), tidyr (>= 1.3.1), purrr (>= 1.0.2), ggplot2 (>= 3.5.1), plotly (>= 4.10.4), igraph (>= 2.1.4), visNetwork (>= 2.1.2), arrow (>= 18.1.0.1), htmltools (>= 0.5.8.1), methods (>= 4.5.0), AnnotationDbi (>= 1.69.1), DT (>= 0.33), plyr (>= 1.8.9), tibble (>= 3.2.1), rlang (>= 1.1.6), DOSE (>= 4.4.0), enrichplot (>= 1.30.4), clusterProfiler (>= 4.18.4), EnhancedVolcano (>= 1.28.2), org.Hs.eg.db (>= 3.22.0), org.Mm.eg.db (>= 3.22.0), org.Dm.eg.db (>= 3.22.0), org.Mmu.eg.db (>= 3.22.0), org.Rn.eg.db (>= 3.22.0), org.Ce.eg.db (>= 3.22.0), org.Pt.eg.db (>= 3.22.0), org.Dr.eg.db (>= 3.22.0)
System Requirements
URLhttps://github.com/mauritsunkel/goatea https://mauritsunkel.github.io/goatea/
Bug Reportshttps://github.com/mauritsunkel/goatea/issues
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package goatea_2.0.0.tar.gz
Windows Binary (x86_64) goatea_2.0.0.zip
macOS Binary (big-sur-x86_64) goatea_2.0.0.tgz
macOS Binary (sonoma-arm64) goatea_2.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/goatea
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/goatea
Package Short Url https://bioconductor.org/packages/goatea/
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