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ViSEAGO

This is the development version of ViSEAGO; for the stable release version, see ViSEAGO.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity


Bioconductor version: Development (3.24)

The main objective of ViSEAGO package is to carry out a data mining of biological functions and establish links between genes involved in the study. We developed ViSEAGO in R to facilitate functional Gene Ontology (GO) analysis of complex experimental design with multiple comparisons of interest. It allows to study large-scale datasets together and visualize GO profiles to capture biological knowledge. The acronym stands for three major concepts of the analysis: Visualization, Semantic similarity and Enrichment Analysis of Gene Ontology. It provides access to the last current GO annotations, which are retrieved from one of NCBI EntrezGene, Ensembl or Uniprot databases for several species. Using available R packages and novel developments, ViSEAGO extends classical functional GO analysis to focus on functional coherence by aggregating closely related biological themes while studying multiple datasets at once. It provides both a synthetic and detailed view using interactive functionalities respecting the GO graph structure and ensuring functional coherence supplied by semantic similarity. ViSEAGO has been successfully applied on several datasets from different species with a variety of biological questions. Results can be easily shared between bioinformaticians and biologists, enhancing reporting capabilities while maintaining reproducibility.

Author: Aurelien Brionne [aut, cre], Amelie Juanchich [aut], Christelle hennequet-antier [aut]

Maintainer: Aurelien Brionne <aurelien.brionne at inrae.fr>

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

Aurelien Brionne, Amelie Juanchich, Christelle hennequet-antier. ViSEAGO: ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity. doi:10.18129/B9.bioc.ViSEAGO, R package version 1.27.0, https://bioconductor.org/packages/ViSEAGO.

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")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("ViSEAGO")

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("ViSEAGO")
3: fgsea_alternative HTML R Script
2: mouse_bionconductor HTML R Script
4: SS_choice HTML R Script
1: ViSEAGO HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Annotation, Clustering, GO, GeneSetEnrichment, MultipleComparison, Software, Visualization
Version1.27.0
In Bioconductor sinceBioC 3.10 (R-3.6) (7 years)
License GPL-3
Depends R (>= 3.6)
Imports data.table, AnnotationDbi, dendextend, dynamicTreeCut, GOSemSim, GO.db, heatmaply, topGO, AnnotationForge, DT, DiagrammeR, R.utils, RColorBrewer, UpSetR, biomaRt, fgsea, ggplot2, htmlwidgets, igraph, methods, plotly, scales, ComplexHeatmap, circlize
System Requirements
URLhttps://www.bioconductor.org/packages/release/bioc/html/ViSEAGO.html https://forgemia.inra.fr/UMR-BOA/ViSEAGO
Bug Reportshttps://forgemia.inra.fr/UMR-BOA/ViSEAGO/issues
See More
Suggests htmltools, org.Mm.eg.db, limma, Rgraphviz, BiocStyle, knitr, rmarkdown, corrplot, remotes, BiocManager, stats, utils, grDevices, processx
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Package Archives

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

Source Package ViSEAGO_1.27.0.tar.gz
Windows Binary (x86_64) ViSEAGO_1.27.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) ViSEAGO_1.27.0.tgz
macOS Binary (sonoma-arm64) ViSEAGO_1.27.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ViSEAGO
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ViSEAGO
Package Short Url https://bioconductor.org/packages/ViSEAGO/
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