DOI: 10.18129/B9.bioc.MWASTools    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see MWASTools.

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

Bioconductor version: 3.8

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>, Rafael Ayala <r.ayala14 at>

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biocViews Cheminformatics, Lipidomics, Metabolomics, QualityControl, Software, SystemsBiology
Version 1.6.0
In Bioconductor since BioC 3.5 (R-3.4) (2 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
Suggests RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown
Depends On Me
Imports Me MetaboSignal
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