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MultiOmicsBridge

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

Integrative Multi-Omics Analysis of Host Transcriptomics and Gut Microbiome Data


Bioconductor version: Development (3.24)

MultiOmicsBridge provides an end-to-end, reproducible computational framework for integrative analysis of paired host transcriptomics (bulk RNA-seq) and gut microbiome (16S rRNA or shotgun metagenomics) data. The package addresses the lack of a unified Bioconductor workflow for this pairing by implementing five modules: (1) data harmonization and normalization with CLR transformation for microbiome compositional data and TMM/voom for RNA-seq; (2) joint dimensionality reduction via sparse multi-block PLS-DA (DIABLO); (3) multi-omics biomarker discovery through cross-omics correlation networks and sparse feature loadings; (4) integrated diagnostic classification comparing host-only, microbiome-only, and joint Random Forest models with stratified cross-validation; and (5) publication-quality visualization of integration results, biomarker networks, classifier comparisons, and feature flow diagrams. All functions operate natively on SummarizedExperiment and MultiAssayExperiment objects and return a structured MOBResult S4 object. The package is validated on inflammatory bowel disease multi-omics data and designed with complex disease contexts (tuberculosis, HIV, EED) in mind.

Author: Subhadip Jana [aut, cre, fnd] ORCID iD ORCID: 0009-0003-7860-2853

Maintainer: Subhadip Jana <subhadipjana1409 at gmail.com>

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

Subhadip Jana. MultiOmicsBridge: Integrative Multi-Omics Analysis of Host Transcriptomics and Gut Microbiome Data. doi:10.18129/B9.bioc.MultiOmicsBridge, R package version 0.99.1, https://bioconductor.org/packages/MultiOmicsBridge.

Generated from the package metadata; it may differ from the package's own citation.

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("MultiOmicsBridge")

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("MultiOmicsBridge")
Integrative Multi-Omics Analysis with MultiOmicsBridge HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Classification, DimensionReduction, FeatureExtraction, GeneExpression, Metagenomics, Microbiome, MultipleComparison, Network, Normalization, QualityControl, Sequencing, Software, StatisticalMethod, Transcriptomics, Visualization, WorkflowStep
Version0.99.1
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports SummarizedExperiment, MultiAssayExperiment, S4Vectors, BiocParallel, limma, edgeR, mixOmics, grid, methods, stats, utils, ggplot2, rlang, ranger, pROC, ggrepel
System Requirements
URLhttps://github.com/SubhadipJana1409/MultiOmicsBridge
Bug Reportshttps://github.com/SubhadipJana1409/MultiOmicsBridge/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), withr, curatedMetagenomicData, GEOquery
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Package Archives

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

Source Package MultiOmicsBridge_0.99.1.tar.gz
Windows Binary (x86_64) MultiOmicsBridge_0.99.1.zip
macOS Binary (big-sur-x86_64) MultiOmicsBridge_0.99.1.tgz
macOS Binary (sonoma-arm64) MultiOmicsBridge_0.99.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MultiOmicsBridge
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MultiOmicsBridge
Package Short Url https://bioconductor.org/packages/MultiOmicsBridge/
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