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Bioconductor - famat

famat

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

Functional analysis of metabolic and transcriptomic data

Bioconductor version: Release (3.21)

Famat is made to collect data about lists of genes and metabolites provided by user, and to visualize it through a Shiny app. Information collected is: - Pathways containing some of the user's genes and metabolites (obtained using a pathway enrichment analysis). - Direct interactions between user's elements inside pathways. - Information about elements (their identifiers and descriptions). - Go terms enrichment analysis performed on user's genes. The Shiny app is composed of: - information about genes, metabolites, and direct interactions between them inside pathways. - an heatmap showing which elements from the list are in pathways (pathways are structured in hierarchies). - hierarchies of enriched go terms using Molecular Function and Biological Process.

Author: Mathieu Charles [aut, cre] ORCID: 0000-0001-5343-6324

Maintainer: Mathieu Charles <mathieu.charles at inrae.fr>

Citation (from within R, enter citation("famat")): Installation

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("famat")

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("famat")
Details biocViews FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Pathways, Reactome, Software Version 1.18.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 years) License GPL-3 Depends R (>= 4.0) Imports KEGGREST, mgcv, stats, BiasedUrn, dplyr, gprofiler2, rWikiPathways, reactome.db, stringr, GO.db, ontologyIndex, tidyr, shiny, shinydashboard, shinyBS, plotly, magrittr, DT, clusterProfiler, org.Hs.eg.db System Requirements URL https://github.com/emiliesecherre/famat Bug Reports https://github.com/emiliesecherre/famat/issues See More Package Archives

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


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