DOI: 10.18129/B9.bioc.Maaslin2  

This is the development version of Maaslin2; for the stable release version, see Maaslin2.

"Multivariable Association Discovery in Population-scale Meta-omics Studies"

Bioconductor version: Development (3.18)

MaAsLin2 is comprehensive R package for efficiently determining multivariable association between clinical metadata and microbial meta'omic features. MaAsLin2 relies on general linear models to accommodate most modern epidemiological study designs, including cross-sectional and longitudinal, and offers a variety of data exploration, normalization, and transformation methods. MaAsLin2 is the next generation of MaAsLin.

Author: Himel Mallick [aut], Ali Rahnavard [aut], Lauren McIver [aut, cre]

Maintainer: Lauren McIver <lauren.j.mciver at>

Citation (from within R, enter citation("Maaslin2")):


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biocViews Metagenomics, Microbiome, Normalization, Software
Version 1.15.0
In Bioconductor since BioC 3.10 (R-3.6) (3.5 years)
License MIT + file LICENSE
Depends R (>= 3.6)
Imports robustbase, biglm, pcaPP, edgeR, metagenomeSeq, lpsymphony, pbapply, car, dplyr, vegan, chemometrics, ggplot2, pheatmap, logging, data.table, lmerTest, hash, optparse, grDevices, stats, utils, glmmTMB, MASS, cplm, pscl, lme4
Suggests knitr, testthat (>= 2.1.0), rmarkdown
Depends On Me
Imports Me Macarron, MMUPHin
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