CluMSID

CluMSID aids the identification of features in untargeted LC-MS/MS analysis by the use of MS2 spectra similarity and unsupervised statistical methods.

Key Features:

• Complete workflow: CluMSID offers functions for a complete and customisable workflow from raw data to visualisations.
• Preprocessing integration: CluMSID is interfaceable with the xcms family of preprocessing packages.

Scientific Applications:

• Untargeted LC-MS/MS metabolite identification: CluMSID aids the identification of features in untargeted LC-MS/MS analysis by the use of MS2 spectra similarity and unsupervised statistical methods.

Methodology:

CluMSID uses MS2 spectra similarity and unsupervised statistical methods to aid feature identification in untargeted LC-MS/MS analysis.