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This is the development version of funOmics; to use it, please install the devel version of Bioconductor.

Aggregating Omics Data into Higher-Level Functional Representations

Bioconductor version: Development (3.20)

The 'funOmics' package ggregates or summarizes omics data into higher level functional representations such as GO terms gene sets or KEGG metabolic pathways. The aggregated data matrix represents functional activity scores that facilitate the analysis of functional molecular sets while allowing to reduce dimensionality and provide easier and faster biological interpretations. Coordinated functional activity scores can be as informative as single molecules!

Author: Elisa Gomez de Lope [aut, cre] , Enrico Glaab [ctb]

Maintainer: Elisa Gomez de Lope <elisa.gomezdelope at>

Citation (from within R, enter citation("funOmics")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

funOmics HTML R Script
Reference Manual PDF


biocViews GO, KEGG, Metabolomics, Pathways, Proteomics, Software, Transcriptomics
Version 0.99.8
In Bioconductor since BioC 3.20 (R-4.4)
License MIT + file LICENSE
Depends R (>= 4.4.0), NMF
Imports NMF, pathifier, stats, KEGGREST, AnnotationDbi,, dplyr, stringr
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Suggests knitr, rmarkdown, testthat (>= 3.0.0), MultiAssayExperiment, SummarizedExperiment, airway
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Follow Installation instructions to use this package in your R session.

Source Package funOmics_0.99.8.tar.gz
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macOS Binary (x86_64) funOmics_0.99.8.tgz
macOS Binary (arm64) funOmics_0.99.8.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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