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MMEASE: Online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis

Authors

 

Qingxia Yang, Bo Li, Sijie Chen, Jing Tang, Yinghong Li, Yi Li, Song Zhang, Cheng Shi, Ying Zhang, Minjie Mou, Weiwei Xue, Feng Zhu

 

Abstract

 

Large-scale and long-term metabolomic studies have attracted widespread attention in the biomedical studies yet remain challenging despite recent technique progresses. In particular, the ineffective way of experiment integration and limited capacity in metabolite annotation are known issues. Herein, we constructed an online tool MMEASE enabling.g the integration of multiple analytical experiments with an enhanced metabolite annotation and enrichment analysis MMEASE was unique in capable of (1) integrating multiple analytical blocks; (2) providing enriched annotation for >330 thousands of metabolites; (3) conducting enrichment analysis using various categories/sub-categories. All in all, MMEASE aimed at supplying a comprehensive service for large-scale and long-term metabolomics, which might provide valuable guidance to current biomedical studies.

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