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CorNetto

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

Knowledge-Guided Multi-Omic Correlation Network Analysis


Bioconductor version: Development (3.24)

Builds knowledge-guided multi-omic correlation networks from normalized transcriptomic, proteomic, and metabolomic abundance data. Group-specific correlation networks are compared with the Fisher z-difference test, either across all within-omic pairs in one or every assay without generating cross-omic pairs, or across candidate edges supplied by a prior-knowledge network, and the resulting differential network is summarized into node-level rewiring scores that identify features whose interaction patterns change between groups. Rewiring scores can be compared with group-label permutation reference distributions, and networks can be restricted to pathway-focused neighbourhoods, converted to 'igraph' objects, or exported as Cytoscape-ready node and edge tables. The package is built on Bioconductor containers so that multi-omic assays and sample metadata are managed consistently throughout the workflow.

Author: Bradley Ward [aut, cre] ORCID iD ORCID: 0000-0003-0778-0153 , Jean-Luc Balligand [ctb], Laurence Bamps [ctb], Patrice D. Cani [ctb], Julien De Greef [ctb], Joseph P. Dewulf [ctb], Vincent Haufroid [ctb], Benoît Kabamba [ctb], Sébastien Pyr dit Ruys [ctb], Didier Vertommen [ctb], Jean Cyr Yombi [ctb], Leïla Belkhir [ths, fnd], Laure Elens [ths, fnd], Sofina COVID Solidarity Fund [fnd]

Maintainer: Bradley Ward <bradleyalexward at gmail.com>

Citation (from within R, enter citation("CorNetto")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("CorNetto")

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

Documentation

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

browseVignettes("CorNetto")
1. CorNetto Workflow HTML R Script
2. CorNetto COVID-19 Severity Workflow HTML R Script
Reference Manual PDF

Details

biocViews GraphAndNetwork, Metabolomics, Network, NetworkInference, Proteomics, Software, SystemsBiology, Transcriptomics
Version 0.99.1
In Bioconductor since BioC 3.24 (R-4.6)
License Artistic-2.0
Depends R (>= 4.6.0)
Imports BiocParallel, graphics, igraph, methods, MultiAssayExperiment, S4Vectors, stats, SummarizedExperiment, tools, utils, withr
System Requirements
URL https://github.com/bradleyalexward/CorNetto
Bug Reports https://github.com/bradleyalexward/CorNetto/issues
See More
Suggests BiocManager, BiocStyle, knitr, qvalue, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CorNetto_0.99.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) CorNetto_0.99.1.tgz
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/CorNetto
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CorNetto
Bioc Package Browser https://code.bioconductor.org/browse/CorNetto/
Package Short Url https://bioconductor.org/packages/CorNetto/
Package Downloads Report Download Stats