To characterize the full metabolic spectrum of such systems, Fast Flux Variability Analysis (FFVA) is commonly used in parallel with static load balancing. This approach assigns to each core an equal number of biochemical reactions without consideration of their solution complexity. Results Here, we...
ModelingDrosophilalarval resource allocation. The figure shows the results of the percent normalized flux variability analysis results for the simulations based on the HD with 2x sucrose (blue) and HD with 2x EAA (red), respectively. In brief, we percent normalized the values of the minimal (ope...
Flux variability analysis (FVA) The solutions returned by FBA are not necessarily unique, as for whole-genome models, the objective function usually assumes the optimum at more than one point in the solution space [60]. Flux variability analysis successively minimises and maximises each flux variab...
western boundary currentssurface fluxesatmospheric boundary layerAn analysis of a satellite ocean surface turbulent flux product demonstrated that, as expected, the western boundary current regions dominate the seasonal cycle amplitude. Surprisingly, our analysis of the global ocean diurnal flux variability ...
Flux variability analysis To ensure optimal flux distribution, flux variability analysis (FVA)69was performed for both KU50 and HN rMeCBM models. The FVA, Equation (2) below, provides sets of possible solutions by estimating the minimum and maximum values possible for each metabolic flux at the...
This is a Bayesian drop-in replacement to standard flux balance analysis (FBA), metabolic flux analysis (MFA) and flux variability analyses (FVA). Below is visualised nine example flux pair distributions in three conditions (red/blue/green). The black dot is the classic FBA solution, while th...
Constraint-based model vulnerabilities analysis - Python analysis toolhttp://contrabass.unizar.es pythonmodelingvulnerabilitiesmetabolismcobrapymetabolic-modelsflux-balance-analysisdead-endchokepointflux-variabilityessential-genesessential-reactions UpdatedOct 14, 2023 ...
temporal persistenceSpatial patterns of ecosystem processes constitute significant sources of uncertainty in greenhouse gas flux estimations partly because the patterns are temporally dynamic. The aim of this study was to describe temporal variability in the spatial patterns of grassland CO2 and N2O flux ...
One of the most relevant issues resulting from the climatological analysis is the presence of an interannual signal and a significant intra-annual variability during the whole period considered. Large year-to-year changes were evidenced, including a net heat gain in some years like in 1994. ...
Computational analysis of storage synthesis in developing Brassica napus L. (oilseed rape) embryos: flux variability analysis in relation to 13 C metabolic... Plant oils are an important renewable resource, and seed oil content is a key agronomical trait that is in part controlled by the metaboli...