gatom | R Documentation |
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.
Data preprocessing:
prepareDE
, getMetDEMeta
, getGeneDEMeta
Graph creation:
makeMetabolicGraph
Graph scoring:
scoreGraph
Module postprocessing:
collapseAtomsIntoMetabolites
, connectAtomsInsideMetabolite
,
addHighlyExpressedEdges
, abbreviateLabels
Plotting module:
createShinyCyJSWidget
Exporting module:
saveModuleToHtml
, saveModuleToDot
,
saveModuleToPdf
, saveModuleToXgmml
For detailed pipeline analysis, see gatom vignette:
vignette("gatom-tutorial", package = "gatom")
Example data provided by gatom consists of:
metabolite differential abundance data (met.de.rawEx
),
gene differential expression data (gene.de.rawEx
),
KEGG-based network object (networkEx
),
KEGG-based metabolite database object (met.kegg.dbEx
),
Example organism annotation object (org.Mm.eg.gatom.annoEx
),
metabolic graph with atom topology (gEx
),
scored metabolic graph with atom topology (gsEx
),
and metabolic module (mEx
).
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