Show simple item record Jenkins, Helen Ann Hardy, Nigel William Beckmann, Manfred Draper, John Smith, Aileen Roberta Taylor, Janet Fiehn, Oliver Goodacre, Royston Bino, Raoul J. Hall, Robert D. Kopka, Joachim Lane, Geoffrey A Lange, Markus Liu, Jang R Mendes, Pedro Nikolau, Basil J Oliver, Stephen G. Paton, Norman W. Rhee, Sue Roessner-Tunali, Ute Saito, Kazuki Smedsgaard, Jørn Sumner, Lloyd W. Wang, Trevor Walsh, Sean Wurtele, Eve Syrkin Kell, Douglas B. 2009-10-21T15:51:31Z 2009-10-21T15:51:31Z 2004-12-06
dc.identifier.citation Jenkins , H A , Hardy , N W , Beckmann , M , Draper , J , Smith , A R , Taylor , J , Fiehn , O , Goodacre , R , Bino , R J , Hall , R D , Kopka , J , Lane , G A , Lange , M , Liu , J R , Mendes , P , Nikolau , B J , Oliver , S G , Paton , N W , Rhee , S , Roessner-Tunali , U , Saito , K , Smedsgaard , J , Sumner , L W , Wang , T , Walsh , S , Wurtele , E S & Kell , D B 2004 , ' A proposed framework for the description of plant metabolomics experiments and their results ' Nature Biotechnology , vol 22 , no. 12 , pp. 1601-1606 . , 10.1038/nbt1041 en
dc.identifier.issn 1087-0156
dc.identifier.other PURE: 122721
dc.identifier.other dspace: 2160/3274
dc.description Jenkins, H., Hardy, N., Beckmann, M., Draper, J., Smith, A. R., Taylor, J., Fiehn, O., Goodacre, R., Bino, R. J., Hall, R., Kopka, J., Lane, G. A., Lange, B. M., Liu, J. R., Mendes, P., Nikolau, B. J., Oliver, S. G., Paton, N. W., Rhee, S., Roessner-Tunali, U., Saito, K., Smedsgaard, J., Sumner, L. W., Wang, T., Walsh, S., Wurtele, E. S., Kell, D. B. (2004). A proposed framework for the description of plant metabolomics experiments and their results.  Nature Biotechnology, 22 (12), 1601-1606 Sponsorship: United Kingdom Food Standards Agency (under the G02006 project), the United Kingdom Biotechnology and Biological Sciences Research Council (particularly under the HiMet project) and the United Kingdom Engineering and Physical Sciences Research Council for support of their work in metabolomics. en
dc.description.abstract The study of the metabolite complement of biological samples, known as metabolomics, is creating large amounts of data, and support for handling these data sets is required to facilitate meaningful analyses that will answer biological questions. We present a data model for plant metabolomics known as ArMet (architecture for metabolomics). It encompasses the entire experimental time line from experiment definition and description of biological source material, through sample growth and preparation to the results of chemical analysis. Such formal data descriptions, which specify the full experimental context, enable principled comparison of data sets, allow proper interpretation of experimental results, permit the repetition of experiments and provide a basis for the design of systems for data storage and transmission. The current design and example implementations are freely available ( We seek to advance discussion and community adoption of a standard for metabolomics, which would promote principled collection, storage and transmission of experiment data. en
dc.format.extent 6 en
dc.language.iso eng
dc.relation.ispartof Nature Biotechnology en
dc.title A proposed framework for the description of plant metabolomics experiments and their results en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en

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