recipe bioconductor-mwastools

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

Homepage:

https://bioconductor.org/packages/3.14/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:

1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0,  1.4.0-0, 

1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  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 >=2.10.0,<2.11.0

• bioconductor-kegggraph >=1.54.0,<1.55.0

• bioconductor-keggrest >=1.34.0,<1.35.0

• bioconductor-qvalue >=2.26.0,<2.27.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• r-base >=4.1,<4.2.0a0

• 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 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>)

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