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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.
Package details |
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Author | Andrea Rodriguez-Martinez, Joram M. Posma, Rafael Ayala, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas |
Bioconductor views | Cheminformatics Lipidomics Metabolomics QualityControl SystemsBiology |
Maintainer | Andrea Rodriguez-Martinez <andrea.rodriguez-martinez13@imperial.ac.uk>, Rafael Ayala <r.ayala14@imperial.ac.uk> |
License | CC BY-NC-ND 4.0 |
Version | 1.14.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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