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gatom

Finding an Active Metabolic Module in Atom Transition Network

Bioconductor version: 3.24 · Package version: 1.11.4

This package implements a metabolic network analysis pipeline to identify an active metabolic module based on high throughput data. The pipeline takes as input transcriptional and/or metabolic data and finds a metabolic subnetwork (module) most regulated between the two conditions of interest. The package further provides functions for module post-processing, annotation and visualization.

Installation

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

BiocManager::install("gatom")

Details

MaintainerAlexey Sergushichev <alsergbox@gmail.com>
AuthorAnastasiia Gainullina [aut], Mariia Emelianova [aut], Alexey Sergushichev [aut, cre]
LicenseMIT + file LICENCE
URLhttps://github.com/ctlab/gatom/
Bug Reportshttps://github.com/ctlab/gatom/issues
Downloads rank399
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, Network, Pathways, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagegatom_1.11.4.tar.gz
Windows binary (x86_64)gatom_1.11.4.zip
macOS binary (arm64)gatom_1.11.4.tgz
macOS binary (x86_64)gatom_1.11.4.tgz
Dependencies

Depends: R (>= 4.3.0)

Imports: data.table, igraph, BioNet, plyr, methods, XML, sna, intergraph, network, ggnetwork, scales, grid, ggplot2, mwcsr, htmlwidgets, htmltools, shinyCyJS (>= 1.0.0)

Suggests: testthat, knitr, rmarkdown, KEGGREST (>= 1.53.2), AnnotationDbi, org.Mm.eg.db, reactome.db, fgsea, readr, BiocStyle, R.utils