famat

DOI: 10.18129/B9.bioc.famat    

Functional analysis of metabolic and transcriptomic data

Bioconductor version: Release (3.13)

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]

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

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

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

HTML R Script famat
PDF   Reference Manual
Text   NEWS

Details

biocViews FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Pathways, Reactome, Software
Version 1.2.1
In Bioconductor since BioC 3.12 (R-4.0) (1 year)
License GPL-3
Depends R (>= 4.0)
Imports KEGGREST, MPINet, dplyr, gprofiler2, rWikiPathways, reactome.db, stringr, GO.db, ontologyIndex, tidyr, shiny, shinydashboard, shinyBS, plotly, magrittr, DT, clusterProfiler, org.Hs.eg.db
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, testthat, BiocManager
SystemRequirements
Enhances
URL https://github.com/emiliesecherre/famat
BugReports https://github.com/emiliesecherre/famat/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package famat_1.2.1.tar.gz
Windows Binary famat_1.2.1.zip
macOS 10.13 (High Sierra) famat_1.2.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/famat
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/famat
Package Short Url https://bioconductor.org/packages/famat/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.13 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: