Quantifying cumulative phenotypic and genomic evidence for procedural generation of metabolic network reconstructions
Fig 3
Data Guided Flux Balance Analysis breaks parsimony and identifies fewer unique reactions required for simulated growth on all experimental growth conditions for E. coli K-12.
(A) The number of FCRs in each growth condition is visualized for pFBA and dgFBA to quantify the degree to which dgFBA breaks parsimony. (B) The number of reactions with bitscores above 500 that carry flux in a dgFBA solution is greater than the number in a pFBA solution. (C) The cumulative number of unique FCRs identified by dgFBA is fewer than pFBA. The complete range in number of unique FCRs is indicated by the shaded regions.