Reference : Metabolic network analysis integrated with transcript verification for sequenced genomes.
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/13049
Metabolic network analysis integrated with transcript verification for sequenced genomes.
English
Manichaikul, Ani [> >]
Ghamsari, Lila [> >]
Hom, Erik F. Y. [> >]
Lin, Chenwei [> >]
Murray, Ryan R. [> >]
Chang, Roger L. [> >]
Balaji, S. [> >]
Hao, Tong [> >]
Shen, Yun [> >]
Chavali, Arvind K. [> >]
Thiele, Ines mailto []
Yang, Xinping [> >]
Fan, Changyu [> >]
Mello, Elizabeth [> >]
Hill, David E. [> >]
Vidal, Marc [> >]
Salehi-Ashtiani, Kourosh [> >]
Papin, Jason A. [> >]
2009
Nature Methods
6
8
589-592
Yes (verified by ORBilu)
1548-7091
1548-7105
United States
[en] Animals ; Chlamydomonas reinhardtii/enzymology/genetics/metabolism ; Computational Biology/methods ; Computer Simulation ; Enzymes/genetics/metabolism ; Genetic Engineering ; Genome, Protozoan ; Models, Genetic ; Protozoan Proteins/genetics/metabolism ; Transcription, Genetic
[en] With sequencing of thousands of organisms completed or in progress, there is a growing need to integrate gene prediction with metabolic network analysis. Using Chlamydomonas reinhardtii as a model, we describe a systems-level methodology bridging metabolic network reconstruction with experimental verification of enzyme encoding open reading frames. Our quantitative and predictive metabolic model and its associated cloned open reading frames provide useful resources for metabolic engineering.
http://hdl.handle.net/10993/13049
10.1038/NMETH.1348

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