Related Experiment Video
Updated: Oct 16, 2026

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
mums2: an R package for database-dependent and -independent analysis of untargeted metabolomics data
Gregory Johnson1, Allison R Mason1, Joseph M Krampen1
1Department of Microbiology & Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Abstract:
mums2 is an open-source R package that enables users to analyze data from untargeted metabolomics analyses. mums2 provides features that parallel existing tools for analyzing 16S rRNA gene sequence data, including data curation, annotation, clustering of features into operational metabolomic units (OMUs), and analyses based on ecological metrics.
More Related Videos
07:11CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
11:00Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
Published on: May 20, 2013