OMA

This is the released version of OMA; for the devel version, see OMA.

All versions

3.24 (devel), 3.23 (release)

Orchestrating Microbiome Analysis with Bioconductor

Bioconductor version: Release (3.23)

This is a reference cookbook for **Microbiome Data Science** with R and Bioconductor.

Author: Tuomas Borman [aut, cre] ORCID: 0000-0002-8563-8884 , Leo Lahti [aut] ORCID: 0000-0001-5537-637X , Felix GM Ernst [aut] ORCID: 0000-0001-5064-0928 , and others (see the full list of contributors) [ctb]

Maintainer: Tuomas Borman <tuomas.v.borman at utu.fi>

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

Tuomas Borman, Leo Lahti, Felix GM Ernst. OMA: Orchestrating Microbiome Analysis with Bioconductor. doi:10.18129/B9.bioc.OMA, R package version 1.0.0, https://bioconductor.org/packages/OMA.

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")

BiocManager::install("OMA")

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

Documentation

No vignettes available
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Microbiome, Software, Workflow
Version	1.0.0
In Bioconductor since	BioC 3.23 (R-4.6) (< 6 months)
License	CC BY 4.0
Depends	R (>= 4.5.0)
Imports
System Requirements	quarto
URL	https://github.com/microbiome/OMA
Bug Reports	https://github.com/microbiome/OMA/issues

Suggests	ape, BiocBook, BiocManager, BiocStyle, bluster, ComplexHeatmap, curatedMetagenomicData, dendextend, dplyr, DT, factoextra, ggdag, ggExtra, ggplot2, ggpubr, ggtree, glue, gt, knitr, maaslin3, mediation, mia, miaTime, miaViz, microbiomeDataSets, mikropml, MOFA2, NbClust, NMF, patchwork, philr, phyloseq, qgraph, rebook, scales, scater, scuttle, sechm, sessioninfo, shadowtext, stats, tidySingleCellExperiment, tidyverse, vegan
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository	git clone https://git.bioconductor.org/packages/OMA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/OMA
Package Short Url	https://bioconductor.org/packages/OMA/
Package Downloads Report	Download Stats