Bioconductor version: Release (3.14)
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.
Author: Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas
Maintainer: Andrea Rodriguez-Martinez <andrea.rodriguez-martinez13 at imperial.ac.uk>, Rafael Ayala <rafael.ayala at oist.jp>
Citation (from within R,
enter citation("MWASTools")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MWASTools")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MWASTools")
HTML | R Script | MWASTools |
Reference Manual | ||
Text | NEWS |
biocViews | Cheminformatics, Lipidomics, Metabolomics, QualityControl, Software, SystemsBiology |
Version | 1.18.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (5 years) |
License | CC BY-NC-ND 4.0 |
Depends | R (>= 3.4) |
Imports | glm2, ppcor, qvalue, car, boot, grid, ggplot2, gridExtra, igraph, SummarizedExperiment, KEGGgraph, RCurl, KEGGREST, ComplexHeatmap, stats, utils |
LinkingTo | |
Suggests | RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | MetaboSignal |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | MWASTools_1.18.0.tar.gz |
Windows Binary | MWASTools_1.18.0.zip |
macOS 10.13 (High Sierra) | MWASTools_1.18.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MWASTools |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MWASTools |
Package Short Url | https://bioconductor.org/packages/MWASTools/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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