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
相关论文
共 65 条
  • [31] Predicting Network Activity from High Throughput Metabolomics
    Li, Shuzhao
    Park, Youngja
    Duraisingham, Sai
    Strobel, Frederick H.
    Khan, Nooruddin
    Soltow, Quinlyn A.
    Jones, Dean P.
    Pulendran, Bali
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2013, 9 (07)
  • [32] IPO: a tool for automated optimization of XCMS parameters
    Libiseller, Gunnar
    Dvorzak, Michaela
    Kleb, Ulrike
    Gander, Edgar
    Eisenberg, Tobias
    Madeo, Frank
    Neumann, Steffen
    Trausinger, Gert
    Sinner, Frank
    Pieber, Thomas
    Magnes, Christoph
    [J]. BMC BIOINFORMATICS, 2015, 16
  • [33] Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures
    Liebisch, Gerhard
    Fahy, Eoin
    Aoki, Junken
    Dennis, Edward A.
    Durand, Thierry
    Ejsing, Christer S.
    Fedorova, Maria
    Feussner, Ivo
    Griffiths, William J.
    Koefeler, Harald
    Merrill, Alfred H., Jr.
    Murphy, Robert C.
    O'Donnell, Valerie B.
    Oskolkova, Olga
    Subramaniam, Shankar
    Wakelam, Michael J. O.
    Spener, Friedrich
    [J]. JOURNAL OF LIPID RESEARCH, 2020, 61 (12) : 1539 - 1555
  • [34] Comprehensive Meta-Analysis of COVID-19 Global Metabolomics Datasets
    Pang, Zhiqiang
    Zhou, Guangyan
    Chong, Jasmine
    Xia, Jianguo
    [J]. METABOLITES, 2021, 11 (01) : 1 - 14
  • [35] MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics
    Pang, Zhiqiang
    Chong, Jasmine
    Li, Shuzhao
    Xia, Jianguo
    [J]. METABOLITES, 2020, 10 (05)
  • [36] Serum Metabolomics Analysis of Asthma in Different Inflammatory Phenotypes: A Cross-Sectional Study in Northeast China
    Pang, Zhiqiang
    Wang, Guoqiang
    Wang, Cuizhu
    Zhang, Weijie
    Liu, Jinping
    Wang, Fang
    [J]. BIOMED RESEARCH INTERNATIONAL, 2018, 2018
  • [37] Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
    Panyard, Daniel J.
    Kim, Kyeong Mo
    Darst, Burcu F.
    Deming, Yuetiva K.
    Zhong, Xiaoyuan
    Wu, Yuchang
    Kang, Hyunseung
    Carlsson, Cynthia M.
    Johnson, Sterling C.
    Asthana, Sanjay
    Engelman, Corinne D.
    Lu, Qiongshi
    [J]. COMMUNICATIONS BIOLOGY, 2021, 4 (01)
  • [38] MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
    Pluskal, Tomas
    Castillo, Sandra
    Villar-Briones, Alejandro
    Oresic, Matej
    [J]. BMC BIOINFORMATICS, 2010, 11
  • [39] Compensation for Systematic Cross-Contribution Improves Normalization of Mass Spectrometry Based Metabolomics Data
    Redestig, Henning
    Fukushima, Atsushi
    Stenlund, Hans
    Moritz, Thomas
    Arita, Masanori
    Saito, Kazuki
    Kusano, Miyako
    [J]. ANALYTICAL CHEMISTRY, 2009, 81 (19) : 7974 - 7980
  • [40] Reinhold D, 2019, METHODS MOL BIOL, V1978, P323, DOI 10.1007/978-1-4939-9236-2_20