tdepke/CluMSID: Clustering of MS2 Spectra for Metabolite Identification
CluMSID is a tool that aids the identification of features in untargeted LC-MS/MS analysis by the use of MS2 spectra similarity and unsupervised statistical methods. It offers functions for a complete and customisable workflow from raw data to visualisations and is interfaceable with the xmcs family of preprocessing packages.
Getting started
Browse package contents
Package details |
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|---|---|
| Bioconductor views | Clustering Metabolomics Preprocessing |
| Maintainer | Tobias Depke <depke@mailbox.org> |
| License | MIT + file LICENSE |
| Version | 1.11.2 |
| URL | https://github.com/tdepke/CluMSID |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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