recipe bioconductor-mwastools

MWASTools: an integrated pipeline to perform metabolome-wide association studies

Homepage

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

License

CC BY-NC-ND 4.0

Recipe

/bioconductor-mwastools/meta.yaml

MWASTools provides a complete pipeline to perform metabolome-wide association studies. Key functionalities of the package include: quality control analysis of metabonomic data; MWAS using different association models (partial correlations; generalized linear models); model validation using non-parametric bootstrapping; visualization of MWAS results; NMR metabolite identification using STOCSY; and biological interpretation of MWAS results.

package bioconductor-mwastools

Versions

1.12.0-0, 1.10.0-0, 1.8.0-1, 1.6.0-0, 1.4.0-0, 1.2.0-0

Depends

• bioconductor-complexheatmap >=2.4.0,<2.5.0

• bioconductor-kegggraph >=1.48.0,<1.49.0

• bioconductor-keggrest >=1.28.0,<1.29.0

• bioconductor-qvalue >=2.20.0,<2.21.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-base >=4.0,<4.1.0a0

• r-boot

• r-car

• r-ggplot2

• r-glm2

• r-gridextra

• r-igraph

• r-ppcor

• r-rcurl

Required By

• bioconductor-metabosignal

Installation

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

conda install bioconductor-mwastools

and update with:

conda update bioconductor-mwastools

or use the docker container:

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

(see bioconductor-mwastools/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-mwastools/README.html)