Article (Scientific journals)
Metabolic network analysis integrated with transcript verification for sequenced genomes.
Manichaikul, Ani; Ghamsari, Lila; Hom, Erik F. Y. et al.
2009In Nature Methods, 6 (8), p. 589-592
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Keywords :
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
Abstract :
[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.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
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.
Yang, Xinping
Fan, Changyu
Mello, Elizabeth
Hill, David E.
Vidal, Marc
Salehi-Ashtiani, Kourosh
Papin, Jason A.
More authors (8 more) Less
External co-authors :
yes
Language :
English
Title :
Metabolic network analysis integrated with transcript verification for sequenced genomes.
Publication date :
2009
Journal title :
Nature Methods
ISSN :
1548-7105
Publisher :
Nature Publishing Group, United Kingdom
Volume :
6
Issue :
8
Pages :
589-592
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 12 December 2013

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