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.

Package details

AuthorTobias Depke [aut, cre], Raimo Franke [ctb], Mark Broenstrup [ths]
Bioconductor views Clustering Metabolomics Preprocessing
MaintainerTobias Depke <>
LicenseMIT + file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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CluMSID documentation built on Nov. 8, 2020, 7:46 p.m.