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MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Zhiqiang Pang1, Jasmine Chong1, Guangyan Zhou1
1Institute of Parasitology, McGill University, Montreal, Quebec, Canada.
MetaboAnalyst 5.0 enhances metabolomics data analysis from raw high-resolution mass spectrometry (HRMS) data to functional insights. New modules streamline LC-MS processing, functional enrichment, and meta-analysis for deeper biological understanding.
Area of Science:
- Metabolomics
- Bioinformatics
- Computational Biology
Background:
- MetaboAnalyst is a widely adopted web platform for metabolomics data analysis.
- Advancements in high-resolution mass spectrometry (HRMS) generate complex datasets.
- Bridging the gap between raw HRMS data and functional interpretation remains a challenge.
Purpose of the Study:
- Introduce MetaboAnalyst version 5.0, focusing on improved functional insights from global metabolomics data.
- Develop new modules to simplify and enhance the analysis pipeline.
- Expand capabilities for integrating and interpreting multiple metabolomics datasets.
Main Methods:
- Developed three new modules: LC-MS Spectra Processing, Functional Analysis, and Functional Meta-Analysis.
- Implemented automated parameter optimization and resumable analysis for LC-MS data.
- Enhanced functional analysis to link peak groups to metabolic pathways and metabolite sets.
- Introduced weighted joint-pathway analysis, data-driven network analysis, and batch effect correction.
Main Results:
- MetaboAnalyst 5.0 offers an integrated pipeline from raw HRMS data to functional interpretation.
- New modules significantly lower barriers for LC-MS spectra processing and functional enrichment analysis.
- The Functional Meta-Analysis module enables comprehensive insights by combining multiple datasets.
- Refactored web interface, graphics, and codebase improve performance and user experience.
Conclusions:
- MetaboAnalyst 5.0 provides a powerful and user-friendly platform for advanced metabolomics research.
- The new features facilitate deeper biological understanding and data integration.
- The platform supports a streamlined workflow for comprehensive data analysis and interpretation.
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