Open AccessRecommendations for Reporting Metabolite Data
Author(s) -
Alisdair R. Fernie,
Asaph Aharoni,
Lothar Willmitzer,
Mark Stitt,
Takayuki Tohge,
Joachim Kopka,
Adam J. Carroll,
Kazuki Saito,
Paul D. Fraser,
Vincenzo De Luca
Publication year - 2011
Publication title -
the plant cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.324
H-Index - 341
eISSN - 1532-298X
pISSN - 1040-4651
DOI - 10.1105/tpc.111.086272
Subject(s) - biology , metabolite , computational biology , data science , computer science , biochemistry
The last decade has witnessed dramatic advances in our ability to determine the levels of an ever broadening range of metabolites. That said, while transcriptomic approaches provide almost complete coverage ([Gonzalez-Ballester et al., 2010][1]) and proteomics approaches are now capable of
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