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Bioconductor - maaslin3 (development version)

maaslin3

This is the development version of maaslin3; for the stable release version, see maaslin3.

"Refining and extending generalized multivariate linear models for meta-omic association discovery"

Bioconductor version: Development (3.22)

MaAsLin 3 refines and extends generalized multivariate linear models for meta-omicron association discovery. It finds abundance and prevalence associations between microbiome meta-omics features and complex metadata in population-scale epidemiological studies. The software includes multiple analysis methods (including support for multiple covariates, repeated measures, and ordered predictors), filtering, normalization, and transform options to customize analysis for your specific study.

Author: William Nickols [aut, cre] ORCID: 0000-0001-8214-9746 , Jacob Nearing [aut]

Maintainer: William Nickols <willnickols at g.harvard.edu>

Citation (from within R, enter citation("maaslin3")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("maaslin3")

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("maaslin3")
Details biocViews Metagenomics, Microbiome, MultipleComparison, Normalization, Software Version 1.1.0 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License MIT + file LICENSE Depends R (>= 4.4) Imports dplyr, plyr, pbapply, lmerTest, parallel, lme4, optparse, logging, multcomp, ggplot2, RColorBrewer, patchwork, scales, rlang, tibble, ggnewscale, survival, methods, BiocGenerics, SummarizedExperiment, TreeSummarizedExperiment System Requirements URL http://huttenhower.sph.harvard.edu/maaslin3 Bug Reports https://github.com/biobakery/maaslin3/issues See More Package Archives

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


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