MetaboAnalyst is a web-based tool designed for metabolomic data analysis and interpretation. It aims to simplify the complex and specialized tasks associated with metabolomics data processing, making it accessible to a broader user base. The tool supports a wide range of input data formats, including NMR peak lists, binned spectra, MS peak lists, and compound/concentration data. MetaboAnalyst offers various options for data processing, normalization, multivariate statistical analysis, graphing, metabolite identification, and pathway mapping. Key features include fold change analysis, t-tests, PCA, PLS-DA, hierarchical clustering, and advanced statistical and machine learning methods. The tool also provides a comprehensive library of reference spectra for compound identification and pathway mapping. Users are guided through a step-by-step analysis pipeline, and the server generates detailed reports with graphical and tabular outputs. MetaboAnalyst is freely accessible at http://www.metaboanalyst.ca and is supported by the R-project and Bioconductor for statistical and machine learning algorithms. The tool is designed to handle most common types of metabolomic data and is suitable for biomarker discovery and two-group discrimination.MetaboAnalyst is a web-based tool designed for metabolomic data analysis and interpretation. It aims to simplify the complex and specialized tasks associated with metabolomics data processing, making it accessible to a broader user base. The tool supports a wide range of input data formats, including NMR peak lists, binned spectra, MS peak lists, and compound/concentration data. MetaboAnalyst offers various options for data processing, normalization, multivariate statistical analysis, graphing, metabolite identification, and pathway mapping. Key features include fold change analysis, t-tests, PCA, PLS-DA, hierarchical clustering, and advanced statistical and machine learning methods. The tool also provides a comprehensive library of reference spectra for compound identification and pathway mapping. Users are guided through a step-by-step analysis pipeline, and the server generates detailed reports with graphical and tabular outputs. MetaboAnalyst is freely accessible at http://www.metaboanalyst.ca and is supported by the R-project and Bioconductor for statistical and machine learning algorithms. The tool is designed to handle most common types of metabolomic data and is suitable for biomarker discovery and two-group discrimination.