An automated phenotype-driven approach (GeneForce) for refining metabolic and regulatory models

PLoS Computational Biology

Volumn 6, Issue 10, 2010, Pages

  Barua, Dipak ^a,b   Kim, Joonhoon ^a,b   Reed, Jennifer L ^a,b  

^a University of Wisconsin Madison   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION REACTIONS; FORECASTING; METABOLISM; SALMONELLA; TRANSCRIPTION;

CELLULAR GROWTH; CONSTRAINT-BASED; E. COLI; ENVIRONMENTAL PERTURBATIONS; METABOLIC MODELLING; MODEL-BASED OPC; REGULATORY GENES; REGULATORY MODEL; REGULATORY NETWORK; REGULATORY RULES;

ESCHERICHIA COLI;

ARTICLE; AUTOMATION; BACTERIAL GENE; BACTERIAL GROWTH; ESCHERICHIA COLI; GENE INTERACTION; GENE OVEREXPRESSION; GENETIC ALGORITHM; MATHEMATICAL MODEL; METABOLISM; NONHUMAN; PHENOTYPE; SALMONELLA TYPHIMURIUM; TRANSCRIPTION REGULATION; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; GENE REGULATORY NETWORK; GENETICS; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SALMONELLA TYPHI;

ESCHERICHIA COLI; SALMONELLA TYPHIMURIUM;

ALGORITHMS; COMPUTATIONAL BIOLOGY; ESCHERICHIA COLI; GENE REGULATORY NETWORKS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SALMONELLA TYPHI;

EID: 78349239648     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000970     Document Type: Article

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