Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-1-62703-613-9_19
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dc.titlePlant metabolomics: From experimental design to knowledge extraction
dc.contributor.authorRai, A.
dc.contributor.authorUmashankar, S.
dc.contributor.authorSwarup, S.
dc.date.accessioned2014-10-27T08:36:53Z
dc.date.available2014-10-27T08:36:53Z
dc.date.issued2013
dc.identifier.citationRai, A.,Umashankar, S.,Swarup, S. (2013). Plant metabolomics: From experimental design to knowledge extraction. Methods in Molecular Biology 1069 : 279-312. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-1-62703-613-9_19" target="_blank">https://doi.org/10.1007/978-1-62703-613-9_19</a>
dc.identifier.isbn9781627036122
dc.identifier.issn10643745
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/101408
dc.description.abstractMetabolomics is one of the most recent additions to the functional genomics approaches. It involves the use of analytical chemistry techniques to provide high-density data of metabolic profiles. Data is then analyzed using advanced statistics and databases to extract biological information, thus providing the metabolic phenotype of an organism. Large variety of metabolites produced by plants through the complex metabolic networks and their dynamic changes in response to various perturbations can be studied using metabolomics. Here, we describe the basic features of plant metabolic diversity and analytical methods to describe this diversity, which includes experimental workflows starting from experimental design, sample preparation, hardware and software choices, combined with knowledge extraction methods. Finally, we describe a scenario for using these workflows to identify differential metabolites and their pathways from complex biological samples. © 2013 Springer Science+Business Media, LLC.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-1-62703-613-9_19
dc.sourceScopus
dc.subjectArabidopsis
dc.subjectExtraction
dc.subjectFragmentation of metabolites
dc.subjectHomogenization
dc.subjectLCMS
dc.subjectMetabolic profiling
dc.subjectMetabolite identification
dc.subjectMetabolomics data mining
dc.typeArticle
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1007/978-1-62703-613-9_19
dc.description.sourcetitleMethods in Molecular Biology
dc.description.volume1069
dc.description.page279-312
dc.identifier.isiutNOT_IN_WOS
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