The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
MetaboAnalystR 2.0: From Raw Spectra to Biological Insights
Open accessAbstract
Global metabolomics based on high-resolution liquid chromatography mass spectrometry (LC-MS) has been increasingly employed in recent large-scale multi-omics studies. Processing and interpretation of these complex metabolomics datasets have become a key challenge in current computational metabolomics. Here, we introduce MetaboAnalystR 2.0 for comprehensive LC-MS data processing, statistical analysis, and functional interpretation. Compared to the previous version, this new release seamlessly integrates XCMS and CAMERA to support raw spectral processing and peak annotation, and also features high-performance implementations of mummichog and GSEA approaches for predictions of pathway activities. The application and utility of the MetaboAnalystR 2.0 workflow were demonstrated using a synthetic benchmark dataset and a clinical dataset. In summary, MetaboAnalystR 2.0 offers a unified and flexible workflow that enables end-to-end analysis of LC-MS metabolomics data within the open-source R environment.
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Cited by
Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., & Xia, J. (2022) · Nature Protocols · doi:10.1038/s41596-022-00710-w · Cited by 1,444
Self-citationMetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics
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Self-citationCycling cancer persister cells arise from lineages with distinct programs
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The adverse metabolic effects of branched-chain amino acids are mediated by isoleucine and valine
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Metadata
- Authors
- Chong, J., Yamamoto, M., & Xia, J.
- Venue
- Metabolites
- Publisher
- MDPI AG
- Published
- 2019-03-22
- Volume
- 9
- Issue
- 3
- Pages
- 57
- ISSN
- 2218-1989 (ISSN-L)
- OpenAlex
- W2922805334
- Cited by
- 317
- References
- 40
- FWCI
- 17.40
- Type
- journal article
- Language
- en
- Open access
- gold
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