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Metabolic network analysis integrated with transcript verification for sequenced genomes

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August 23 2009
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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.

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Computational Systems Biology Laboratory; The research group of Dr. Jason Papin in the Department of Biomedical Engineering at the University of Virginia.

Related Links

  • PubMed
  • UVA Engineering

Contact Info

The research group of Dr. Jason Papin in the Department of Biomedical Engineering at the University of Virginia

  • Email: papinlab@virginia.edu
  • Phone (434) 924-8195

  • Home
  • Publications
  • Meet Our Team
  • Contact