MWASTools
MWASTools: an integrated pipeline to perform metabolome-wide association studies
Bioconductor version: 3.24 · Package version: 1.37.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MWASTools") Details
| Maintainer | Andrea Rodriguez-Martinez <andrea.rodriguez-martinez13@imperial.ac.uk>, Rafael Ayala <rafael.ayala@oist.jp> |
| Author | Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas |
| License | CC BY-NC-ND 4.0 |
| Downloads rank | 591 |
| Source branch | devel |
| biocViews | Cheminformatics, Lipidomics, Metabolomics, QualityControl, Software, SystemsBiology |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MWASTools_1.37.0.tar.gz |
| Windows binary (x86_64) | MWASTools_1.37.0.zip |
| macOS binary (arm64) | MWASTools_1.37.0.tgz |
| macOS binary (x86_64) | MWASTools_1.37.0.tgz |
Dependencies
Depends: R (>= 3.5.0)
Imports: glm2, ppcor, qvalue, car, boot, grid, ggplot2, gridExtra, igraph, SummarizedExperiment, KEGGgraph, RCurl, KEGGREST, ComplexHeatmap, stats, utils
Suggests: RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown
Reverse dependencies
Imports Me (1): MetaboSignal