MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

By Jasmine Chong, Othman Soufan, Carin Li, Iurie Nicolae Caraus, Shuzhao Li, Guillaume Bourque, David S. Wishart, Jianguo Xia. Nucleic Acids Res., 2018

3,230 citations recorded by the source corpus.

Abstract We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major update in 2015, MetaboAnalyst has continued to evolve based on user feedback and technological advancements in the field. For this year's update, four new key features have been added to MetaboAnalyst 4.0, including: (1) real-time R command tracking and display coupled with the release of a companion MetaboAnalystR package; (2) a MS Peaks to Pathways module for prediction of pathway activity from untargeted mass spectral data using the mummichog algorithm; (3) a Biomarker Meta-analysis module for robust biomarker identification through the combination of multiple metabolomic datasets and (4) a Network Explorer module for integrative analysis of metabolomics, metagenomics, and/or transcriptomics data. The user interface of MetaboAnalyst 4.0 has been reengineered to provide a more modern look and feel, as well as to give more space and flexibility to introduce new functions. The underlying knowledgebases (compound libraries, metabolite sets, and metabolic pathways) have also been updated based on the latest data from the Human Metabolome Database (HMDB). A Docker image of MetaboAnalyst is also available to facilitate download and local installation of MetaboAnalyst. MetaboAnalyst 4.0 is freely available at http://metaboanalyst.ca.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2b437e8be2a3a280543f74b03f99e4b48a2ae521

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In Molecular Biology

Citations in the corpus

Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis (2019, background): “The latest version, MetaboAnalyst 4.0 (Chong et al., 2018), features three new modules including: predicting pathway activities from MS peak lists, biomarker analysis integrating multiple metabolomic datasets, and integrative analysis of multi-omics data through knowledge-based networks.”
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights (2021, background): “0 further improved on integrative and reproducible analysis (15), and began to support functional interpretation of global metabolomics data (16).”