MetaboAnalystR 4.0: a unified LC-MS workflow for global metabolomics
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Abstract
The wide applications of liquid chromatography - mass spectrometry (LC-MS) in untargeted metabolomics demand an easy-to-use, comprehensive computational workflow to support efficient and reproducible data analysis. However, current tools were primarily developed to perform specific tasks in LC-MS based metabolomics data analysis. Here we introduce MetaboAnalystR 4.0 as a streamlined pipeline covering raw spectra processing, compound identification, statistical analysis, and functional interpretation. The key features of MetaboAnalystR 4.0 includes an auto-optimized feature detection and quantification algorithm for LC-MS1 spectra processing, efficient MS2 spectra deconvolution and compound identification for…
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Authors
7Topics & keywords
Topics
Keywords
- Workflow
- Deconvolution
- Metabolomics
- Computer science
- Pipeline (software)
- Data mining
- Identification (biology)
- Raw data
UN Sustainable Development Goals
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