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This is the development version of gINTomics; for the stable release version, see gINTomics.

Multi-Omics data integration

Bioconductor version: Development (3.20)

gINTomics is an R package for Multi-Omics data integration and visualization. gINTomics is designed to detect the association between the expression of a target and of its regulators, taking into account also their genomics modifications such as Copy Number Variations (CNV) and methylation. What is more, gINTomics allows integration results visualization via a Shiny-based interactive app.

Author: Angelo Velle [cre, aut] , Francesco Patane' [aut] , Chiara Romualdi [aut]

Maintainer: Angelo Velle <angelo.velle at>

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


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.


Reference Manual PDF


biocViews CopyNumberVariation, GeneExpression, GeneTarget, Microarray, RNASeq, Software, Visualization
Version 1.1.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License AGPL-3
Depends R (>= 4.4.0)
Imports BiocParallel, biomaRt, OmnipathR, edgeR, ggplot2, ggridges, gtools, MultiAssayExperiment, plyr, stringi, stringr, SummarizedExperiment, methods, stats, reshape2, randomForest, limma,,, BiocGenerics, GenomicFeatures, ReactomePA, clusterProfiler, dplyr, AnnotationDbi, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, shiny, GenomicRanges, ggtree, shinydashboard, plotly, DT, MASS, InteractiveComplexHeatmap, ComplexHeatmap, visNetwork, shiny.gosling, ggvenn, RColorBrewer, utils, grDevices, callr, circlize
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Follow Installation instructions to use this package in your R session.

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