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Multi-Omics (time-course) network-based integration and interpretation

Bioconductor version: Release (3.19)

netOmics is a multi-omics networks builder and explorer. It uses a combination of network inference algorithms and and knowledge-based graphs to build multi-layered networks. The package can be combined with timeOmics to incorporate time-course expression data and build sub-networks from multi-omics kinetic clusters. Finally, from the generated multi-omics networks, propagation analyses allow the identification of missing biological functions (1), multi-omics mechanisms (2) and molecules between kinetic clusters (3). This helps to resolve complex regulatory mechanisms.

Author: Antoine Bodein [aut, cre]

Maintainer: Antoine Bodein <antoine.bodein.1 at>

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


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.


Reference Manual PDF


biocViews GraphAndNetwork, Network, NetworkInference, Software, SystemsBiology, TimeCourse, WorkflowStep
Version 1.10.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-3
Depends R (>= 4.1)
Imports dplyr, ggplot2, igraph, magrittr, minet, purrr, tibble, tidyr, AnnotationDbi, GO.db, gprofiler2, methods, Matrix, stats
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Suggests mixOmics, timeOmics, tidyverse, BiocStyle, testthat, covr, rmarkdown, knitr
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Follow Installation instructions to use this package in your R session.

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