MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights

被引:2681
作者
Pang, Zhiqiang [1 ]
Chong, Jasmine [1 ]
Zhou, Guangyan [1 ]
Morais, David Anderson de Lima [2 ]
Chang, Le [3 ]
Barrette, Michel [2 ]
Gauthier, Carol [2 ]
Jacques, Pierre-Etienne [2 ,4 ]
Li, Shuzhao [5 ]
Xia, Jianguo [1 ,3 ,6 ]
机构
[1] McGill Univ, Inst Parasitol, Montreal, PQ, Canada
[2] Univ Sherbrooke, Ctr Calcul Sci, Sherbrooke, PQ, Canada
[3] McGill Univ, Dept Human Genet, Montreal, PQ, Canada
[4] Univ Sherbrooke, Dept Biol, Sherbrooke, PQ, Canada
[5] Jackson Lab Genom Med, Farmington, CT USA
[6] McGill Univ, Dept Anim Sci, Montreal, PQ, Canada
基金
美国国家卫生研究院; 加拿大自然科学与工程研究理事会;
关键词
WEB-BASED TOOL; METABOLOMICS DATA; SPECTROMETRY DATA; VISUALIZATION; SERVER; XCMS;
D O I
10.1093/nar/gkab382
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. Here we introduce MetaboAnalyst version 5.0, aiming to narrow the gap from raw data to functional insights for global metabolomics based on high-resolution mass spectrometry (HRMS). Three modules have been developed to help achieve this goal, including: (i) a LC-MS Spectra Processing module which offers an easy-to-use pipeline that can perform automated parameter optimization and resumable analysis to significantly lower the barriers to LC-MS1 spectra processing; (ii) a Functional Analysis module which expands the previous MS Peaks to Pathways module to allow users to intuitively select any peak groups of interest and evaluate their enrichment of potential functions as defined by metabolic pathways and metabolite sets; (iii) a Functional Meta-Analysis module to combine multiple global metabolomics datasets obtained under complementary conditions or from similar studies to arrive at comprehensive functional insights. There are many other new functions including weighted joint-pathway analysis, data-driven network analysis, batch effect correction, merging technical replicates, improved compound name matching, etc. The web interface, graphics and underlying codebase have also been refactored to improve performance and user experience. At the end of an analysis session, users can now easily switch to other compatible modules for a more streamlined data analysis.
引用
收藏
页码:W388 / W396
页数:9
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