Training in metabolomics research. II. Processing and statistical analysis of metabolomics data, metabolite identification, pathway analysis, applications of metabolomics and its future
Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the...
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| Veröffentlicht in: | Journal of mass spectrometry. 2016-08, Vol.51 (8), p.535-548 |
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| container_title | Journal of mass spectrometry. |
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| creator | Barnes, Stephen Benton, H. Paul Casazza, Krista Cooper, Sara J. Cui, Xiangqin Du, Xiuxia Engler, Jeffrey Kabarowski, Janusz H. Li, Shuzhao Pathmasiri, Wimal Prasain, Jeevan K. Renfrow, Matthew B. Tiwari, Hemant K. |
| description | Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. This second part of a comprehensive description of the methods of metabolomics focuses on data analysis, emerging methods in metabolomics and the future of this discipline. Copyright © 2016 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/jms.3780 |
| format | Article |
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Copyright © 2016 John Wiley & Sons, Ltd.</description><identifier>ISSN: 1076-5174</identifier><identifier>EISSN: 1096-9888</identifier><identifier>DOI: 10.1002/jms.3780</identifier><identifier>PMID: 28239968</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Animals ; Chromatography, Liquid ; data pre-processing ; Extraction ; Fluxes ; Gas Chromatography-Mass Spectrometry ; Humans ; imaging metabolomics ; Isotopes ; isotopic labeling ; mass spectrometry ; Mass Spectrometry - methods ; Mathematical analysis ; metabolism ; Metabolites ; metabolomics ; Metabolomics - education ; Metabolomics - methods ; multivariate analysis ; pathway ; Pathways ; quality control ; Samples ; stable isotopes ; Statistical analysis ; Statistical methods ; univariate analysis</subject><ispartof>Journal of mass spectrometry., 2016-08, Vol.51 (8), p.535-548</ispartof><rights>Copyright © 2016 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6490-c70d036814070863d9d32eec57c646454e168ae94ecc4f1154d6304526492b8d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjms.3780$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjms.3780$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28239968$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barnes, Stephen</creatorcontrib><creatorcontrib>Benton, H. Paul</creatorcontrib><creatorcontrib>Casazza, Krista</creatorcontrib><creatorcontrib>Cooper, Sara J.</creatorcontrib><creatorcontrib>Cui, Xiangqin</creatorcontrib><creatorcontrib>Du, Xiuxia</creatorcontrib><creatorcontrib>Engler, Jeffrey</creatorcontrib><creatorcontrib>Kabarowski, Janusz H.</creatorcontrib><creatorcontrib>Li, Shuzhao</creatorcontrib><creatorcontrib>Pathmasiri, Wimal</creatorcontrib><creatorcontrib>Prasain, Jeevan K.</creatorcontrib><creatorcontrib>Renfrow, Matthew B.</creatorcontrib><creatorcontrib>Tiwari, Hemant K.</creatorcontrib><title>Training in metabolomics research. II. Processing and statistical analysis of metabolomics data, metabolite identification, pathway analysis, applications of metabolomics and its future</title><title>Journal of mass spectrometry.</title><addtitle>J. Mass Spectrom</addtitle><description>Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. This second part of a comprehensive description of the methods of metabolomics focuses on data analysis, emerging methods in metabolomics and the future of this discipline. 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| ispartof | Journal of mass spectrometry., 2016-08, Vol.51 (8), p.535-548 |
| issn | 1076-5174 1096-9888 |
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| subjects | Animals Chromatography, Liquid data pre-processing Extraction Fluxes Gas Chromatography-Mass Spectrometry Humans imaging metabolomics Isotopes isotopic labeling mass spectrometry Mass Spectrometry - methods Mathematical analysis metabolism Metabolites metabolomics Metabolomics - education Metabolomics - methods multivariate analysis pathway Pathways quality control Samples stable isotopes Statistical analysis Statistical methods univariate analysis |
| title | Training in metabolomics research. II. Processing and statistical analysis of metabolomics data, metabolite identification, pathway analysis, applications of metabolomics and its future |
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