famat
This is the development version of famat; for the stable release version, see famat.
Functional analysis of metabolic and transcriptomic data
Bioconductor version: Development (3.20)
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("famat")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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")
famat | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Pathways, Reactome, Software |
Version | 1.15.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (4 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
Suggests | BiocStyle, knitr, rmarkdown, testthat, BiocManager |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | famat_1.15.0.tar.gz |
Windows Binary | famat_1.15.0.zip |
macOS Binary (x86_64) | famat_1.15.0.tgz |
macOS Binary (arm64) | famat_1.15.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/famat |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/famat |
Bioc Package Browser | https://code.bioconductor.org/browse/famat/ |
Package Short Url | https://bioconductor.org/packages/famat/ |
Package Downloads Report | Download Stats |