famat
Functional analysis of metabolic and transcriptomic data
Bioconductor version: 3.23 · Package version: 1.22.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("famat") Details
| Maintainer | Mathieu Charles <mathieu.charles@inrae.fr> |
| Author | Mathieu Charles [aut, cre] (ORCID: <https://orcid.org/0000-0001-5343-6324>) |
| License | GPL-3 |
| URL | https://github.com/emiliesecherre/famat |
| Bug Reports | https://github.com/emiliesecherre/famat/issues |
| Downloads rank | 290 |
| Source branch | RELEASE_3_23 |
| biocViews | FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Pathways, Reactome, Software |
Documentation
Download
Dependencies
Depends: R (>= 4.3)
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, ReactomePA, enrichplot
Suggests: BiocStyle, knitr, rmarkdown, testthat, BiocManager