MetaboAnalyst is a web-based tool for metabolomic data analysis and interpretation. It allows users to upload various types of metabolomic data, including NMR peak lists, binned spectra, MS peak lists, and compound concentration data. The tool provides a range of data processing options, including normalization, multivariate statistical analysis, graphing, metabolite identification, and pathway mapping. MetaboAnalyst supports techniques such as fold change analysis, t-tests, PCA, PLS-DA, hierarchical clustering, and various statistical or machine learning methods. It also uses a large library of reference spectra to facilitate compound identification. The tool guides users through a step-by-step analysis pipeline and generates a detailed report with graphical and tabular outputs. MetaboAnalyst is freely accessible and designed to handle most types of metabolomic data. It is available at http://www.metaboanalyst.ca. The tool is based on Java Server Faces (JSF) technology and integrates with R and Bioconductor for statistical computing and visualization. MetaboAnalyst supports a wide variety of data formats and provides comprehensive analysis options for normalization, feature identification, dimensional reduction, clustering, and classification. It also offers tools for data annotation, including compound identification and pathway mapping. MetaboAnalyst is designed to be user-friendly, with an intuitive interface and step-by-step tutorials to help users navigate the analysis process. The tool is capable of handling both quantitative and chemometric metabolomic data and provides a comprehensive summary report with detailed analysis results. MetaboAnalyst is currently hosted on a Linux server with R and Bioconductor installed. It supports a wide range of data types and analysis methods, making it a powerful tool for metabolomic research. The tool is freely available and accessible to researchers worldwide.MetaboAnalyst is a web-based tool for metabolomic data analysis and interpretation. It allows users to upload various types of metabolomic data, including NMR peak lists, binned spectra, MS peak lists, and compound concentration data. The tool provides a range of data processing options, including normalization, multivariate statistical analysis, graphing, metabolite identification, and pathway mapping. MetaboAnalyst supports techniques such as fold change analysis, t-tests, PCA, PLS-DA, hierarchical clustering, and various statistical or machine learning methods. It also uses a large library of reference spectra to facilitate compound identification. The tool guides users through a step-by-step analysis pipeline and generates a detailed report with graphical and tabular outputs. MetaboAnalyst is freely accessible and designed to handle most types of metabolomic data. It is available at http://www.metaboanalyst.ca. The tool is based on Java Server Faces (JSF) technology and integrates with R and Bioconductor for statistical computing and visualization. MetaboAnalyst supports a wide variety of data formats and provides comprehensive analysis options for normalization, feature identification, dimensional reduction, clustering, and classification. It also offers tools for data annotation, including compound identification and pathway mapping. MetaboAnalyst is designed to be user-friendly, with an intuitive interface and step-by-step tutorials to help users navigate the analysis process. The tool is capable of handling both quantitative and chemometric metabolomic data and provides a comprehensive summary report with detailed analysis results. MetaboAnalyst is currently hosted on a Linux server with R and Bioconductor installed. It supports a wide range of data types and analysis methods, making it a powerful tool for metabolomic research. The tool is freely available and accessible to researchers worldwide.