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Exposome and omic data associatin and integration analysis

Bioconductor version: Release (3.19)

omicRexposome systematizes the association evaluation between exposures and omic data, taking advantage of MultiDataSet for coordinated data management, rexposome for exposome data definition and limma for association testing. Also to perform data integration mixing exposome and omic data using multi co-inherent analysis (omicade4) and multi-canonical correlation analysis (PMA).

Author: Carles Hernandez-Ferrer [aut, cre], Juan R. González [aut]

Maintainer: Xavier EscribĂ  Montagut <xavier.escriba at>

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


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

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


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:

Exposome Data Integration with Omic Data HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, DifferentialMethylation, Epigenetics, GeneExpression, GeneRegulation, ImmunoOncology, MultipleComparison, Proteomics, Regression, Software, StatisticalMethod, Transcriptomics, Visualization, WorkflowStep
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License MIT + file LICENSE
Depends R (>= 3.5.0), Biobase
Imports stats, utils, grDevices, graphics, methods, rexposome, limma, sva, ggplot2, ggrepel, PMA, omicade4, gridExtra, MultiDataSet, SmartSVA, isva, parallel, SummarizedExperiment, stringr
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Suggests BiocStyle, knitr, rmarkdown, snpStats, brgedata
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Follow Installation instructions to use this package in your R session.

Source Package omicRexposome_1.26.0.tar.gz
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macOS Binary (x86_64) omicRexposome_1.26.0.tgz
macOS Binary (arm64) omicRexposome_1.26.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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