Metabolomics as a hypothesis-generating functional genomics tool for the annotation of Arabidopsis thaliana genes of "unknown function"

Metabolomics as a hypothesis-generating functional genomics tool for the annotation of Arabidopsis thaliana genes of "unknown function"

Metabolomics is the methodology that identifies and measures global pools of small molecules (of less than about 1,000 Daltons) of a biological sample, which are collectively called the metabolome. Metabolomics can therefore reveal the metabolic outcome of a genetic or environmental perturbation of...

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Bibliographic Details
Main Authors: Stephanie Michelle Moon Quanbeck, Libuse eBrachova, Alexis A. Campbell, Xin eGuan, Ann ePerera, Kun eHe, Seung Y. Rhee, Preeti eBais, Julie eDickerson, Philip eDixon, Gert eWohlgemuth, Oliver eFiehn, Lenore eBarkan, B. Markus eLange, Insuk eLee, Diego eCortes, Carolina eSalazar, Joel eShuman, Vladimir eShulaev, David eHuhman, Lloyd W. Sumner, Mary R. Roth, Ruth eWelti, Hilal eIlarslan, Eve S. Wurtele, Basil J. Nikolau
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-02-01
Series:Frontiers in Plant Science
Subjects:
Arabidopsis
Metabolomics
database
Functional Genomics
gene annotation
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2012.00015/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpls.2012.00015/full

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