DOI: 10.18129/B9.bioc.MWASTools    

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

Bioconductor version: Release (3.6)

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 1.2.0
In Bioconductor since BioC 3.5 (R-3.4) (1 year)
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
Suggests Me
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