Package: OmniCorr 0.99.0

Veronica Quarato

OmniCorr: Multi-omics Integration and Visualization Framework

OmniCorr is an R package for correlation-based integration and visualization of multi-omics datasets, including transcriptomics, metatranscriptomics, metagenomics, metaproteomics, and associated sample metadata. The package computes pairwise correlations between independently processed omics layers and provides flexible tools for organizing and visualizing cross-omics associations using aligned heatmaps and optional network-style visualizations. OmniCorr is designed to complement existing preprocessing and network inference workflows rather than replace them.

Authors:Shashank Gupta [aut], Veronica Quarato [aut, cre], Wanxin Lai [aut]

OmniCorr_0.99.0.tar.gz
OmniCorr_0.99.0.zip(r-4.7-any)OmniCorr_0.99.0.zip(r-4.6-any)OmniCorr_0.99.0.zip(r-4.5-any)
OmniCorr_0.99.0.tgz(r-4.6-any)OmniCorr_0.99.0.tgz(r-4.5-any)
OmniCorr_0.99.0.tar.gz(r-4.7-any)OmniCorr_0.99.0.tar.gz(r-4.6-any)
OmniCorr_0.99.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
OmniCorr/json (API)

# Install 'OmniCorr' in R:
install.packages('OmniCorr', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/veronicaquarato/omnicorr/issues

Datasets:

On CRAN:

Conda:

dimensionreductionfeatureextractionmetabolomicsmetagenomicsmicrobiomenetworkinferencepreprocessingproteomicstranscriptomicssoftware

3.00 score 4 exports 82 dependencies

Last updated from:8085328a36. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE200
linux-develOK182
source / vignettesOK292
linux-releaseOK202
macos-releaseOK118
macos-oldrelOK111
windows-develOK119
windows-releaseOK104
windows-oldrelOK110
wasm-releaseOK141

Exports:calculate_correlationsCheckSampleOrdermetadatarun_omnicorr

Dependencies:backportsbase64encBiocGenericsbslibcachemcheckmatecirclizecliclueclustercodetoolscolorspaceComplexHeatmapcpp11crayondata.tabledigestdoParalleldynamicTreeCutevaluatefarverfastclusterfastmapfontawesomeforeachforeignFormulafsgenericsGetoptLongggplot2GlobalOptionsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsimputeIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmatrixStatsmemoisemimennetpngpreprocessCoreR6rappdirsRColorBrewerRcpprjsonrlangrmarkdownrpartrstudioapiS4VectorsS7sassscalesshapestringistringrsurvivaltinytexvctrsviridisLiteWGCNAwithrxfunyaml

OmniCorr
Rendered fromOmniCorr.Rmdusingknitr::rmarkdown

Last update: 2026-09-24
Started: 2026-09-24

OmniCorr – Salmon Workflow
Overview | Data provenance & preprocessing | Load OmniCorr + example data | Very important: Sample alignment (required!) | Workflow steps | Step 1 – Feature clustering (using reference layer = Transcriptomics) | Step 2 – Transcriptomics reference heatmap | Step 3 – Cross-omics correlation analysis | Step 4 – Beautiful aligned correlation heatmaps | Nice combined layout (optional but very recommended) | Bonus: Correlation with metadata | Summary
Rendered fromsalmon_workflow.Rmdusingknitr::rmarkdown

Last update: 2026-09-24
Started: 2026-09-24