MetaboAnalyst 3.0—making metabolomics more meaningful

J Xia, IV Sinelnikov, B Han, DS Wishart - Nucleic acids research, 2015 - academic.oup.com
J Xia, IV Sinelnikov, B Han, DS Wishart
Nucleic acids research, 2015academic.oup.com
Abstract MetaboAnalyst (www. metaboanalyst. ca) is a web server designed to permit
comprehensive metabolomic data analysis, visualization and interpretation. It supports a
wide range of complex statistical calculations and high quality graphical rendering functions
that require significant computational resources. First introduced in 2009, MetaboAnalyst
has experienced more than a 50X growth in user traffic (> 50 000 jobs processed each
month). In order to keep up with the rapidly increasing computational demands and a …
Abstract
MetaboAnalyst (www.metaboanalyst.ca) is a web server designed to permit comprehensive metabolomic data analysis, visualization and interpretation. It supports a wide range of complex statistical calculations and high quality graphical rendering functions that require significant computational resources. First introduced in 2009, MetaboAnalyst has experienced more than a 50X growth in user traffic (>50 000 jobs processed each month). In order to keep up with the rapidly increasing computational demands and a growing number of requests to support translational and systems biology applications, we performed a substantial rewrite and major feature upgrade of the server. The result is MetaboAnalyst 3.0. By completely re-implementing the MetaboAnalyst suite using the latest web framework technologies, we have been able substantially improve its performance, capacity and user interactivity. Three new modules have also been added including: (i) a module for biomarker analysis based on the calculation of receiver operating characteristic curves; (ii) a module for sample size estimation and power analysis for improved planning of metabolomics studies and (iii) a module to support integrative pathway analysis for both genes and metabolites. In addition, popular features found in existing modules have been significantly enhanced by upgrading the graphical output, expanding the compound libraries and by adding support for more diverse organisms.
Oxford University Press