{"_id":"DZMKTMNmTDdr96HAe","bibbaseid":"kopka-fernie-weckwerth-gibon-stitt-metaboliteprofilinginplantbiologyplatformsanddestinations-2004","authorIDs":[],"author_short":["Kopka, J.","Fernie, A.","Weckwerth, W.","Gibon, Y.","Stitt, M."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Joachim"],"propositions":[],"lastnames":["Kopka"],"suffixes":[]},{"firstnames":["Alisdair"],"propositions":[],"lastnames":["Fernie"],"suffixes":[]},{"firstnames":["Wolfram"],"propositions":[],"lastnames":["Weckwerth"],"suffixes":[]},{"firstnames":["Yves"],"propositions":[],"lastnames":["Gibon"],"suffixes":[]},{"firstnames":["Mark"],"propositions":[],"lastnames":["Stitt"],"suffixes":[]}],"title":"Metabolite profiling in plant biology: Platforms and destinations","journal":"Genome Biol","year":"2004","volume":"5","number":"6","pages":"109","abstract":"Optimal use of genome sequences and gene-expression resources requires powerful phenotyping platforms, including those for systematic analysis of metabolite composition. The most used technologies for metabolite profiling, including mass spectral, nuclear magnetic resonance and enzyme-based approaches, have various advantages and disadvantages, and problems can arise with reliability and the interpretation of the huge datasets produced. These techniques will be useful for answering important biological questions in the future.","doi":"10.1186/gb-2004-5-6-109","file":"Kopka_MetaboliteProfilingPlant_GenomeBiol_2004.pdf:2004/Kopka_MetaboliteProfilingPlant_GenomeBiol_2004.pdf:PDF","keywords":"metabolites, metabolite ms, gcms, lc-ms; TrACReview","owner":"Sebastian","pmid":"15186482","timestamp":"2009.07.21","bibtex":"@Article{kopka04metabolite,\n author = {Joachim Kopka and Alisdair Fernie and Wolfram Weckwerth and Yves Gibon and Mark Stitt},\n title = {Metabolite profiling in plant biology: Platforms and destinations},\n journal = {Genome Biol},\n year = {2004},\n volume = {5},\n number = {6},\n pages = {109},\n abstract = {Optimal use of genome sequences and gene-expression resources requires powerful phenotyping platforms, including those for systematic analysis of metabolite composition. The most used technologies for metabolite profiling, including mass spectral, nuclear magnetic resonance and enzyme-based approaches, have various advantages and disadvantages, and problems can arise with reliability and the interpretation of the huge datasets produced. These techniques will be useful for answering important biological questions in the future.},\n doi = {10.1186/gb-2004-5-6-109},\n file = {Kopka_MetaboliteProfilingPlant_GenomeBiol_2004.pdf:2004/Kopka_MetaboliteProfilingPlant_GenomeBiol_2004.pdf:PDF},\n keywords = {metabolites, metabolite ms, gcms, lc-ms; TrACReview},\n owner = {Sebastian},\n pmid = {15186482},\n timestamp = {2009.07.21},\n}\n\n","author_short":["Kopka, J.","Fernie, A.","Weckwerth, W.","Gibon, Y.","Stitt, M."],"key":"kopka04metabolite","id":"kopka04metabolite","bibbaseid":"kopka-fernie-weckwerth-gibon-stitt-metaboliteprofilinginplantbiologyplatformsanddestinations-2004","role":"author","urls":{},"keyword":["metabolites","metabolite ms","gcms","lc-ms; TrACReview"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://git.bio.informatik.uni-jena.de/fleisch/literature/raw/master/group-literature.bib","creationDate":"2019-11-19T16:50:42.242Z","downloads":0,"keywords":["metabolites","metabolite ms","gcms","lc-ms; tracreview"],"search_terms":["metabolite","profiling","plant","biology","platforms","destinations","kopka","fernie","weckwerth","gibon","stitt"],"title":"Metabolite profiling in plant biology: Platforms and destinations","year":2004,"dataSources":["C5FtkvWWggFfMJTFX"]}