Transparency in metabolic network reconstruction enables scalable biological discovery

Current Opinion in Biotechnology

Volumn 34, Issue , 2015, Pages 105-109

  Heavner, Benjamin D ^a   Price, Nathan D ^a  

^a INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOTECHNOLOGY;

BIOLOGICAL DISCOVERIES; METABOLIC FLUX; METABOLIC NETWORK; METABOLIC NETWORK MODELS; METABOLIC NETWORK RECONSTRUCTION; METABOLIC PATHWAYS; METABOLIC REACTIONS; MODEL DERIVATIONS;

METABOLISM;

ADENOSINE TRIPHOSPHATE;

COMPUTER PROGRAM; GENE DELETION; GENETIC MODEL; HYPOTHESIS; MATHEMATICAL MODEL; METABOLIC FLUX ANALYSIS; METABOLIC NETWORK; METABOLIC PARAMETERS; METABOLISM; NONHUMAN; PENTOSE PHOSPHATE CYCLE; PREDICTION; REVIEW; BIOLOGICAL MODEL; GENOME; GENOMICS; HUMAN;

GENOME; GENOMICS; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL;

EID: 84920265598     PISSN: 09581669     EISSN: 18790429     Source Type: Journal    
DOI: 10.1016/j.copbio.2014.12.010     Document Type: Review

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