matlab code dfbalab Search Results


based code dfbalab  (MathWorks Inc)
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MathWorks Inc based code dfbalab
Based Code Dfbalab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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dfbalab  (MathWorks Inc)
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MathWorks Inc dfbalab
(a) Schematic representation of the coculture design concept. (b) Continuous stirred tank bioreactor (CSTBR) simulations used to evaluate system performance. (c) Dynamic flux balance model solved with <t>DFBAlab.</t> (d) Representative dynamic simulation results.
Dfbalab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dfbalab/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
dfbalab - by Bioz Stars, 2026-05
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matlab code dfbalab  (MathWorks Inc)
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MathWorks Inc matlab code dfbalab
(a) Schematic representation of the coculture design concept. (b) Continuous stirred tank bioreactor (CSTBR) simulations used to evaluate system performance. (c) Dynamic flux balance model solved with <t>DFBAlab.</t> (d) Representative dynamic simulation results.
Matlab Code Dfbalab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ode15s  (MathWorks Inc)
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MathWorks Inc ode15s
(a) Schematic representation of the coculture design concept. (b) Continuous stirred tank bioreactor (CSTBR) simulations used to evaluate system performance. (c) Dynamic flux balance model solved with <t>DFBAlab.</t> (d) Representative dynamic simulation results.
Ode15s, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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lp solver  (Gurobi Optimization)
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Gurobi Optimization lp solver
(a) Schematic representation of the coculture design concept. (b) Continuous stirred tank bioreactor (CSTBR) simulations used to evaluate system performance. (c) Dynamic flux balance model solved with <t>DFBAlab.</t> (d) Representative dynamic simulation results.
Lp Solver, supplied by Gurobi Optimization, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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dynamic flux balance analysis  (MathWorks Inc)
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MathWorks Inc dynamic flux balance analysis
Concentration profiles (left) and <t>DFBAlab</t> penalty function (right) of Example 1. The penalty function shows how the simulation becomes infeasible after approximately 8.1 hours. Simulation times: DyMMM = 6.6 seconds, DFBAlab = 7.7 seconds.
Dynamic Flux Balance Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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odes with embedded lps integrated with matlab code dfbalab  (MathWorks Inc)
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MathWorks Inc odes with embedded lps integrated with matlab code dfbalab
Concentration profiles (left) and <t>DFBAlab</t> penalty function (right) of Example 1. The penalty function shows how the simulation becomes infeasible after approximately 8.1 hours. Simulation times: DyMMM = 6.6 seconds, DFBAlab = 7.7 seconds.
Odes With Embedded Lps Integrated With Matlab Code Dfbalab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


(a) Schematic representation of the coculture design concept. (b) Continuous stirred tank bioreactor (CSTBR) simulations used to evaluate system performance. (c) Dynamic flux balance model solved with DFBAlab. (d) Representative dynamic simulation results.

Journal: Biochemical engineering journal

Article Title: Metabolic modeling of bacterial co-culture systems predicts enhanced carbon monoxide-to-butyrate conversion compared to monoculture systems

doi: 10.1016/j.bej.2019.107338

Figure Lengend Snippet: (a) Schematic representation of the coculture design concept. (b) Continuous stirred tank bioreactor (CSTBR) simulations used to evaluate system performance. (c) Dynamic flux balance model solved with DFBAlab. (d) Representative dynamic simulation results.

Article Snippet: The MATLAB code DFBAlab was used to solve the dynamics models consisting of nonlinear ordinary differential equations with embedded linear programs ( ).

Techniques:

Concentration profiles (left) and DFBAlab penalty function (right) of Example 1. The penalty function shows how the simulation becomes infeasible after approximately 8.1 hours. Simulation times: DyMMM = 6.6 seconds, DFBAlab = 7.7 seconds.

Journal: BMC Bioinformatics

Article Title: DFBAlab: a fast and reliable MATLAB code for dynamic flux balance analysis

doi: 10.1186/s12859-014-0409-8

Figure Lengend Snippet: Concentration profiles (left) and DFBAlab penalty function (right) of Example 1. The penalty function shows how the simulation becomes infeasible after approximately 8.1 hours. Simulation times: DyMMM = 6.6 seconds, DFBAlab = 7.7 seconds.

Article Snippet: In this paper, we implement the LP feasibility problem combined with lexicographic optimization in our Dynamic Flux Balance Analysis laboratory (DFBAlab), a MATLAB code that performs fast, reliable and flexible community simulations.

Techniques: Concentration Assay

DFBAlab simulation results of example 2. Two cyclic steady states are presented. Simulation 1 (solid line) was performed with lexicographic objectives presented in Table , whereas simulation 2 (dashed line) used the negative of Objective 4 for algae. Significant differences can be observed in the predicted concentrations of yeast, glucose, and oxygen. Computation times for simulations 1 and 2 where 82 and 74 seconds, respectively.

Journal: BMC Bioinformatics

Article Title: DFBAlab: a fast and reliable MATLAB code for dynamic flux balance analysis

doi: 10.1186/s12859-014-0409-8

Figure Lengend Snippet: DFBAlab simulation results of example 2. Two cyclic steady states are presented. Simulation 1 (solid line) was performed with lexicographic objectives presented in Table , whereas simulation 2 (dashed line) used the negative of Objective 4 for algae. Significant differences can be observed in the predicted concentrations of yeast, glucose, and oxygen. Computation times for simulations 1 and 2 where 82 and 74 seconds, respectively.

Article Snippet: In this paper, we implement the LP feasibility problem combined with lexicographic optimization in our Dynamic Flux Balance Analysis laboratory (DFBAlab), a MATLAB code that performs fast, reliable and flexible community simulations.

Techniques: Algae

DFBAlab simulation results of example 3. This example incorporates the pH balance (solid line). Simulation results were close to the ones obtained without a pH balance. Slight variations were observed for the CO 2 concentration profile. Computation time was 162 seconds.

Journal: BMC Bioinformatics

Article Title: DFBAlab: a fast and reliable MATLAB code for dynamic flux balance analysis

doi: 10.1186/s12859-014-0409-8

Figure Lengend Snippet: DFBAlab simulation results of example 3. This example incorporates the pH balance (solid line). Simulation results were close to the ones obtained without a pH balance. Slight variations were observed for the CO 2 concentration profile. Computation time was 162 seconds.

Article Snippet: In this paper, we implement the LP feasibility problem combined with lexicographic optimization in our Dynamic Flux Balance Analysis laboratory (DFBAlab), a MATLAB code that performs fast, reliable and flexible community simulations.

Techniques: Concentration Assay