mWISE provides a set of strategies to annotate untargeted LC-MS data. Given a peak-intensity table as input, mWISE applies three main steps aimed at i) matching mass-to-charge ratio values to KEGG database, ii) clustering and filtering the potential KEGG candidates and iii) building a final prioritized list using diffusion in networks. mWISE takes advantage of biological pathways knowledge to improve the annotation confidence level.
Package details |
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Bioconductor views | Annotation KEGG MassSpectrometry Metabolomics Network Pathways Software |
Maintainer | |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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