MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

被引:2986
作者
Chong, Jasmine [1 ]
Soufan, Othman [1 ]
Li, Carin [2 ]
Caraus, Iurie [1 ,3 ]
Li, Shuzhao [4 ]
Bourque, Guillaume [3 ,5 ]
Wishart, David S. [2 ,6 ]
Xia, Jianguo [1 ,3 ,7 ]
机构
[1] McGill Univ, Inst Parasitol, Montreal, PQ, Canada
[2] Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada
[3] McGill Univ, Canadian Ctr Computat Genom, Montreal, PQ, Canada
[4] Emory Univ, Sch Med, Dept Med, Atlanta, GA USA
[5] McGill Univ, Dept Human Genet, Montreal, PQ, Canada
[6] Univ Alberta, Dept Comp Sci, Edmonton, AB, Canada
[7] McGill Univ, Dept Anim Sci, Montreal, PQ, Canada
基金
加拿大自然科学与工程研究理事会; 加拿大健康研究院;
关键词
WEB-BASED TOOL; METAANALYSIS; WORKFLOW; DATABASE; SERVER;
D O I
10.1093/nar/gky310
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major update in 2015, MetaboAnalyst has continued to evolve based on user feedback and technological advancements in the field. For this year's update, four newkey features have been added to MetaboAnalyst 4.0, including: (1) real-time R command tracking and display coupled with the release of a companion MetaboAnalystR package; (2) a MS Peaks to Pathways module for prediction of pathway activity from untargeted mass spectral data using themummichog algorithm; (3) a Biomarker Meta-analysis module for robust biomarker identification through the combination of multiple metabolomic datasets and (4) a Network Explorer module for integrative analysis of metabolomics, metagenomics, and/or transcriptomics data. The user interface of MetaboAnalyst 4.0 has been reengineered to provide a more modern look and feel, as well as to give more space and flexibility to introduce new functions. The underlying knowledgebases (compound libraries, metabolite sets, and metabolic pathways) have also been updated based on the latest data from the Human Metabolome Database (HMDB). A Docker image of MetaboAnalyst is also available to facilitate download and local installation of MetaboAnalyst. MetaboAnalyst 4.0 is freely available at http://metaboanalyst.ca.
引用
收藏
页码:W486 / W494
页数:9
相关论文
共 48 条
[1]
Glutaminolysis and Fumarate Accumulation Integrate Immunometabolic and Epigenetic Programs in Trained Immunity [J].
Arts, Rob J. W. ;
Novakovic, Boris ;
ter Horst, Rob ;
Carvalho, Agostinho ;
Bekkering, Siroon ;
Lachmandas, Ekta ;
Rodrigues, Fernando ;
Silvestre, Ricardo ;
Cheng, Shih-Chin ;
Wang, Shuang-Yin ;
Habibi, Ehsan ;
Goncalves, Luis G. ;
Mesquita, Ines ;
Cunha, Cristina ;
van Laarhoven, Arjan ;
van de Veerdonk, Frank L. ;
Williams, David L. ;
van der Meer, Jos W. M. ;
Logie, Colin ;
O'Neill, Luke A. ;
Dinarello, Charles A. ;
Riksen, Niels P. ;
van Crevel, Reinout ;
Clish, Clary ;
Notebaart, Richard A. ;
Joosten, Leo A. B. ;
Stunnenberg, Hendrik G. ;
Xavier, Ramnik J. ;
Netea, Mihai G. .
CELL METABOLISM, 2016, 24 (06) :807-819
[2]
Metabolomic analysis for first-trimester Down syndrome prediction [J].
Bahado-Singh, Ray O. ;
Akolekar, Ranjit ;
Mandal, Rupasri ;
Dong, Edison ;
Xia, Jianguo ;
Kruger, Michael ;
Wishart, David S. ;
Nicolaides, Kypros .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2013, 208 (05) :371.e1-371.e8
[3]
Analysis of metabolomic data: tools, current strategies and future challenges for omics data integration [J].
Cambiaghi, Alice ;
Ferrario, Manuela ;
Masseroli, Marco .
BRIEFINGS IN BIOINFORMATICS, 2017, 18 (03) :498-510
[4]
Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems [J].
Cao, Kim-Anh Le ;
Boitard, Simon ;
Besse, Philippe .
BMC BIOINFORMATICS, 2011, 12
[5]
Computational Approaches for Integrative Analysis of the Metabolome and Microbiome [J].
Chong, Jasmine ;
Xia, Jianguo .
METABOLITES, 2017, 7 (04)
[6]
Yap reprograms glutamine metabolism to increase nucleotide biosynthesis and enable liver growth [J].
Cox, Andrew G. ;
Hwang, Katie L. ;
Brown, Kristin K. ;
Evason, Kimberley J. ;
Beltz, Sebastian ;
Tsomides, Allison ;
O'Connor, Keelin ;
Galli, Giorgio G. ;
Yimlamai, Dean ;
Chhangawala, Sagar ;
Yuan, Min ;
Lien, Evan C. ;
Wucherpfennig, Julia ;
Nissim, Sahar ;
Minami, Akihiro ;
Cohen, David E. ;
Camargo, Fernando D. ;
Asara, John M. ;
Houvras, Yariv ;
Stainier, Didier Y. R. ;
Goessling, Wolfram .
NATURE CELL BIOLOGY, 2016, 18 (08) :886-+
[7]
Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data [J].
Davidson, Robert L. ;
Weber, Ralf J. M. ;
Liu, Haoyu ;
Sharma-Oates, Archana ;
Viant, Mark R. .
GIGASCIENCE, 2016, 5
[8]
Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics [J].
Giacomoni, Franck ;
Le Corguille, Gildas ;
Monsoor, Misharl ;
Landi, Marion ;
Pericard, Pierre ;
Petera, Melanie ;
Duperier, Christophe ;
Tremblay-Franco, Marie ;
Martin, Jean-Francois ;
Jacob, Daniel ;
Goulitquer, Sophie ;
Thevenot, Etienne A. ;
Caron, Christophe .
BIOINFORMATICS, 2015, 31 (09) :1493-1495
[9]
Meta-analysis of clinical metabolic profiling studies in cancer: challenges and opportunities [J].
Goveia, Jermaine ;
Pircher, Andreas ;
Conradi, Lena-Christin ;
Kalucka, Joanna ;
Lagani, Vincenzo ;
Dewerchin, Mieke ;
Eelen, Guy ;
DeBerardinis, Ralph J. ;
Wilson, Ian D. ;
Carmeliet, Peter .
EMBO MOLECULAR MEDICINE, 2016, 8 (10) :1134-1142
[10]
Mining the plasma proteome for cancer biomarkers [J].
Hanash, Samir M. ;
Pitteri, Sharon J. ;
Faca, Vitor M. .
NATURE, 2008, 452 (7187) :571-579