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Bioconductor 3.22 Released

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gatom

This is thereleased version of gatom; for the devel version, seegatom.

Finding an Active Metabolic Module in Atom Transition Network

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DOI: 10.18129/B9.bioc.gatom


Bioconductor version: Release (3.22)

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.

Author: Anastasiia Gainullina [aut], Mariia Emelianova [aut], Alexey Sergushichev [aut, cre]

Maintainer: Alexey Sergushichev <alsergbox at gmail.com>

Citation (from within R, entercitation("gatom")):

Installation

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

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gatom")
Using gatom packageHTMLR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,GeneExpression,Network,Pathways,Software
Version1.8.4
In Bioconductor sinceBioC 3.18 (R-4.3) (2 years)
LicenseMIT + file LICENCE
DependsR (>= 4.3.0)
Importsdata.table,igraph,BioNet,plyr, methods,XML,sna,intergraph,network,GGally, grid,ggplot2,mwcsr,htmlwidgets,htmltools,shinyCyJS (>= 1.0.0)
System Requirements
URLhttps://github.com/ctlab/gatom/
Bug Reportshttps://github.com/ctlab/gatom/issues
See More
Suggeststestthat,knitr,rmarkdown,KEGGREST,AnnotationDbi,org.Mm.eg.db,reactome.db,fgsea,readr,BiocStyle,R.utils
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagegatom_1.8.4.tar.gz
Windows Binary (x86_64) gatom_1.8.2.zip
macOS Binary (x86_64)gatom_1.8.4.tgz
macOS Binary (arm64)gatom_1.8.4.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/gatom
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/gatom
Bioc Package Browserhttps://code.bioconductor.org/browse/gatom/
Package Short Urlhttps://bioconductor.org/packages/gatom/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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