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.
|Author||Tobias Depke [aut, cre], Raimo Franke [ctb], Mark Broenstrup [ths]|
|Bioconductor views||Clustering Metabolomics Preprocessing|
|Maintainer||Tobias Depke <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on Bioconductor|
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