To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MWASTools")

In most cases, you don't need to download the package archive at all.

MWASTools

DOI: 10.18129/B9.bioc.MWASTools    

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

Bioconductor version: Release (3.5)

MWAS 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.

Author: Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Jeremy K. Nicholson, Marc-Emmanuel Dumas

Maintainer: Andrea Rodriguez-Martinez <andrea.rodriguez-martinez13 at imperial.ac.uk>, Rafael Ayala <r.ayala14 at imperial.ac.uk>

Citation (from within R, enter citation("MWASTools")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MWASTools")

Documentation

HTML R Script MWASTools
PDF   Reference Manual
Text   NEWS

Details

biocViews Cheminformatics, Lipidomics, Metabolomics, QualityControl, Software, SystemsBiology
Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License CC BY-NC-ND 4.0
Depends R (>= 3.4)
Imports glm2, ppcor, qvalue, car, boot, grid, ggplot2, gridExtra, igraph, SummarizedExperiment, graphics, stats, utils
LinkingTo
Suggests RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me MetaboSignal
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MWASTools_1.0.0.tar.gz
Windows Binary MWASTools_1.0.0.zip
Mac OS X 10.11 (El Capitan) MWASTools_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MWASTools
Package Short Url http://bioconductor.org/packages/MWASTools/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: