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maaslin3

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

Bioconductor version: 3.23 · Package version: 1.4.0

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.

Installation

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

BiocManager::install("maaslin3")

Details

MaintainerWilliam Nickols <willnickols@g.harvard.edu>
AuthorWilliam Nickols [aut, cre] (ORCID: <https://orcid.org/0000-0001-8214-9746>), Jacob Nearing [aut]
LicenseMIT + file LICENSE
URLhttp://huttenhower.sph.harvard.edu/maaslin3
Bug Reportshttps://github.com/biobakery/maaslin3/issues
Downloads rank456
Source branchRELEASE_3_23
biocViewsMetagenomics, Microbiome, MultipleComparison, Normalization, Software

Documentation

Download

Dependencies

Depends: R (>= 4.4)

Imports: data.table, collapse, lmerTest, lme4, optparse, logging, mirai, multcomp, ggplot2, RColorBrewer, patchwork, scales, rlang, ggnewscale, survival, methods, BiocGenerics, reformulas

Suggests: knitr, testthat (>= 2.1.0), rmarkdown, markdown, kableExtra, dplyr, SummarizedExperiment, TreeSummarizedExperiment

Reverse dependencies

Imports Me (2): benchdamic, MMUPHin

Suggests Me (2): dar, miaViz