recipe bioconductor-maaslin2

Maaslin2

Homepage

https://bioconductor.org/packages/3.11/bioc/html/Maaslin2.html

License

MIT + file LICENSE

Recipe

/bioconductor-maaslin2/meta.yaml

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.

package bioconductor-maaslin2

Versions

1.0.0-0

Depends

• bioconductor-edger >=3.28.0,<3.29.0

• bioconductor-lpsymphony >=1.14.0,<1.15.0

• bioconductor-metagenomeseq >=1.28.0,<1.29.0

• r-base >=3.6,<3.7.0a0

• r-biglm

• r-car

• r-chemometrics

• r-cplm

• r-data.table

• r-dplyr

• r-ggplot2

• r-hash

• r-lmertest

• r-logging

• r-mass

• r-mumin

• r-optparse

• r-pbapply

• r-pcapp

• r-pheatmap

• r-pscl

• r-robustbase

• r-vegan

Required By

• bioconductor-mmuphin

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-maaslin2

and update with:

conda update bioconductor-maaslin2

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-maaslin2:<tag>

(see bioconductor-maaslin2/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-maaslin2/README.html)