matlab-based simulation environment Search Results


rotary servo base unit  (Quanser Consulting)
95
Quanser Consulting rotary servo base unit
Rotary Servo Base Unit, supplied by Quanser Consulting, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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text-based simulation environment comsol script  (COMSOL Inc)
90
COMSOL Inc text-based simulation environment comsol script
Text Based Simulation Environment Comsol Script, supplied by COMSOL 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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simscape environment  (MathWorks Inc)
96
MathWorks Inc simscape environment
<t>Simscape's</t> CO 2 properties.
Simscape Environment, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
simscape environment - by Bioz Stars, 2026-06
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discrete event simulation environment  (MathWorks Inc)
92
MathWorks Inc discrete event simulation environment
<t>Simscape's</t> CO 2 properties.
Discrete Event Simulation Environment, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 92 stars, based on 1 article reviews
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matlab simulink environment  (MathWorks Inc)
96
MathWorks Inc matlab simulink environment
<t>Simscape's</t> CO 2 properties.
Matlab Simulink Environment, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 96 stars, based on 1 article reviews
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matlab software environment  (MathWorks Inc)
96
MathWorks Inc matlab software environment
<t>Simscape's</t> CO 2 properties.
Matlab Software Environment, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab software environment/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab software environment - by Bioz Stars, 2026-06
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matlab simbiology  (MathWorks Inc)
97
MathWorks Inc matlab simbiology
Applications of three different node models implemented in GRN modeler. I) The repressilator a) Topology of the repressilator. b) Topology of the circuit in the interface generated by the make graph() method: the red dots N 1 , N 2 , and N 3 represent the nodes in the circuit. The red arrows denote the directed edges of the graph, illustrating the repression interactions between nodes. Additionally, the yellow dots N 1 |− N 3 , N 2 |− N 1 , and N 3 |− N 2 represent the regulatory interactions. For example, N 1 |− N 3 denotes that node N 1 is repressed by N 3 . c) Deterministic and d) stochastic simulations of the repressilator using the Elowitz model, as described in Table S2 in the SI. The detailed information about the model is available in the SI, specifically in the file “repressilator.html”. II) Re-designed repressilator for an independent modulation of amplitude and frequency. a) Topology of the re-designed repressilator. “C” and “L” are proteases, “I 1 ” and “I 2 ” external inducers, “U” and “Y” transcription factors activating N 4 and N 2 respectively. The dotted gray lines indicate which proteins are degraded by the proteases. b) Topology of the circuit in the interface. c) The effect of the inducers on the amplitude of N 4 . d) The effect of the inducers on the time period of N 4 . The detailed information about the model is available in the SI, specifically in the file “Tomazou.html”. III) The CRISPRlator circuit. a) Topology of the CRISPRlator. b) Topology of the circuit in the interface. For example, N 1 NOHILL |− N 3 denotes that node N 1 is repressed by N 3 through an input named NOHILL, which corresponds to the CRISPRi interaction in the node model. This repression is incorporated into the system by introducing new reactions (R 6 and R 7 in Table S4), where the dCas:sgRNA N3 complex binds to DNA N1 , inhibiting transcription at node N 1 . c) Deterministic and d) stochastic simulations of the CRISPRlator generated by the model detailed in Table S4 in the SI. The detailed information about the model is available in the SI, specifically in the file “CRISPR.html”. The deterministic simulations were fulfilled with the “ode15s” solver of <t>MATLAB,</t> while the stochastic simulations were performed using the “adaptivesa” solver of COPASI in every case.
Matlab Simbiology, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 97 stars, based on 1 article reviews
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easyspin toolbox under matlab  (MathWorks Inc)
96
MathWorks Inc easyspin toolbox under matlab
Applications of three different node models implemented in GRN modeler. I) The repressilator a) Topology of the repressilator. b) Topology of the circuit in the interface generated by the make graph() method: the red dots N 1 , N 2 , and N 3 represent the nodes in the circuit. The red arrows denote the directed edges of the graph, illustrating the repression interactions between nodes. Additionally, the yellow dots N 1 |− N 3 , N 2 |− N 1 , and N 3 |− N 2 represent the regulatory interactions. For example, N 1 |− N 3 denotes that node N 1 is repressed by N 3 . c) Deterministic and d) stochastic simulations of the repressilator using the Elowitz model, as described in Table S2 in the SI. The detailed information about the model is available in the SI, specifically in the file “repressilator.html”. II) Re-designed repressilator for an independent modulation of amplitude and frequency. a) Topology of the re-designed repressilator. “C” and “L” are proteases, “I 1 ” and “I 2 ” external inducers, “U” and “Y” transcription factors activating N 4 and N 2 respectively. The dotted gray lines indicate which proteins are degraded by the proteases. b) Topology of the circuit in the interface. c) The effect of the inducers on the amplitude of N 4 . d) The effect of the inducers on the time period of N 4 . The detailed information about the model is available in the SI, specifically in the file “Tomazou.html”. III) The CRISPRlator circuit. a) Topology of the CRISPRlator. b) Topology of the circuit in the interface. For example, N 1 NOHILL |− N 3 denotes that node N 1 is repressed by N 3 through an input named NOHILL, which corresponds to the CRISPRi interaction in the node model. This repression is incorporated into the system by introducing new reactions (R 6 and R 7 in Table S4), where the dCas:sgRNA N3 complex binds to DNA N1 , inhibiting transcription at node N 1 . c) Deterministic and d) stochastic simulations of the CRISPRlator generated by the model detailed in Table S4 in the SI. The detailed information about the model is available in the SI, specifically in the file “CRISPR.html”. The deterministic simulations were fulfilled with the “ode15s” solver of <t>MATLAB,</t> while the stochastic simulations were performed using the “adaptivesa” solver of COPASI in every case.
Easyspin Toolbox Under Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/easyspin toolbox under matlab/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
easyspin toolbox under matlab - by Bioz Stars, 2026-06
96/100 stars
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matlab lmi toolbox  (MathWorks Inc)
96
MathWorks Inc matlab lmi toolbox
Applications of three different node models implemented in GRN modeler. I) The repressilator a) Topology of the repressilator. b) Topology of the circuit in the interface generated by the make graph() method: the red dots N 1 , N 2 , and N 3 represent the nodes in the circuit. The red arrows denote the directed edges of the graph, illustrating the repression interactions between nodes. Additionally, the yellow dots N 1 |− N 3 , N 2 |− N 1 , and N 3 |− N 2 represent the regulatory interactions. For example, N 1 |− N 3 denotes that node N 1 is repressed by N 3 . c) Deterministic and d) stochastic simulations of the repressilator using the Elowitz model, as described in Table S2 in the SI. The detailed information about the model is available in the SI, specifically in the file “repressilator.html”. II) Re-designed repressilator for an independent modulation of amplitude and frequency. a) Topology of the re-designed repressilator. “C” and “L” are proteases, “I 1 ” and “I 2 ” external inducers, “U” and “Y” transcription factors activating N 4 and N 2 respectively. The dotted gray lines indicate which proteins are degraded by the proteases. b) Topology of the circuit in the interface. c) The effect of the inducers on the amplitude of N 4 . d) The effect of the inducers on the time period of N 4 . The detailed information about the model is available in the SI, specifically in the file “Tomazou.html”. III) The CRISPRlator circuit. a) Topology of the CRISPRlator. b) Topology of the circuit in the interface. For example, N 1 NOHILL |− N 3 denotes that node N 1 is repressed by N 3 through an input named NOHILL, which corresponds to the CRISPRi interaction in the node model. This repression is incorporated into the system by introducing new reactions (R 6 and R 7 in Table S4), where the dCas:sgRNA N3 complex binds to DNA N1 , inhibiting transcription at node N 1 . c) Deterministic and d) stochastic simulations of the CRISPRlator generated by the model detailed in Table S4 in the SI. The detailed information about the model is available in the SI, specifically in the file “CRISPR.html”. The deterministic simulations were fulfilled with the “ode15s” solver of <t>MATLAB,</t> while the stochastic simulations were performed using the “adaptivesa” solver of COPASI in every case.
Matlab Lmi Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab lmi toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab lmi toolbox - by Bioz Stars, 2026-06
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partial-differential-equation solver  (COMSOL Inc)
90
COMSOL Inc partial-differential-equation solver
Applications of three different node models implemented in GRN modeler. I) The repressilator a) Topology of the repressilator. b) Topology of the circuit in the interface generated by the make graph() method: the red dots N 1 , N 2 , and N 3 represent the nodes in the circuit. The red arrows denote the directed edges of the graph, illustrating the repression interactions between nodes. Additionally, the yellow dots N 1 |− N 3 , N 2 |− N 1 , and N 3 |− N 2 represent the regulatory interactions. For example, N 1 |− N 3 denotes that node N 1 is repressed by N 3 . c) Deterministic and d) stochastic simulations of the repressilator using the Elowitz model, as described in Table S2 in the SI. The detailed information about the model is available in the SI, specifically in the file “repressilator.html”. II) Re-designed repressilator for an independent modulation of amplitude and frequency. a) Topology of the re-designed repressilator. “C” and “L” are proteases, “I 1 ” and “I 2 ” external inducers, “U” and “Y” transcription factors activating N 4 and N 2 respectively. The dotted gray lines indicate which proteins are degraded by the proteases. b) Topology of the circuit in the interface. c) The effect of the inducers on the amplitude of N 4 . d) The effect of the inducers on the time period of N 4 . The detailed information about the model is available in the SI, specifically in the file “Tomazou.html”. III) The CRISPRlator circuit. a) Topology of the CRISPRlator. b) Topology of the circuit in the interface. For example, N 1 NOHILL |− N 3 denotes that node N 1 is repressed by N 3 through an input named NOHILL, which corresponds to the CRISPRi interaction in the node model. This repression is incorporated into the system by introducing new reactions (R 6 and R 7 in Table S4), where the dCas:sgRNA N3 complex binds to DNA N1 , inhibiting transcription at node N 1 . c) Deterministic and d) stochastic simulations of the CRISPRlator generated by the model detailed in Table S4 in the SI. The detailed information about the model is available in the SI, specifically in the file “CRISPR.html”. The deterministic simulations were fulfilled with the “ode15s” solver of <t>MATLAB,</t> while the stochastic simulations were performed using the “adaptivesa” solver of COPASI in every case.
Partial Differential Equation Solver, supplied by COMSOL 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/partial-differential-equation solver/product/COMSOL Inc
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partial-differential-equation solver - by Bioz Stars, 2026-06
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Image Search Results


Simscape's CO 2 properties.

Journal: Heliyon

Article Title: Application of transcritical CO 2 heat pumps to boiler replacement in low impact refurbishment projects

doi: 10.1016/j.heliyon.2024.e26929

Figure Lengend Snippet: Simscape's CO 2 properties.

Article Snippet: The study is based on a simulation model built in the MATLAB Simscape environment.

Techniques:

Overall simscape model.

Journal: Heliyon

Article Title: Application of transcritical CO 2 heat pumps to boiler replacement in low impact refurbishment projects

doi: 10.1016/j.heliyon.2024.e26929

Figure Lengend Snippet: Overall simscape model.

Article Snippet: The study is based on a simulation model built in the MATLAB Simscape environment.

Techniques:

Applications of three different node models implemented in GRN modeler. I) The repressilator a) Topology of the repressilator. b) Topology of the circuit in the interface generated by the make graph() method: the red dots N 1 , N 2 , and N 3 represent the nodes in the circuit. The red arrows denote the directed edges of the graph, illustrating the repression interactions between nodes. Additionally, the yellow dots N 1 |− N 3 , N 2 |− N 1 , and N 3 |− N 2 represent the regulatory interactions. For example, N 1 |− N 3 denotes that node N 1 is repressed by N 3 . c) Deterministic and d) stochastic simulations of the repressilator using the Elowitz model, as described in Table S2 in the SI. The detailed information about the model is available in the SI, specifically in the file “repressilator.html”. II) Re-designed repressilator for an independent modulation of amplitude and frequency. a) Topology of the re-designed repressilator. “C” and “L” are proteases, “I 1 ” and “I 2 ” external inducers, “U” and “Y” transcription factors activating N 4 and N 2 respectively. The dotted gray lines indicate which proteins are degraded by the proteases. b) Topology of the circuit in the interface. c) The effect of the inducers on the amplitude of N 4 . d) The effect of the inducers on the time period of N 4 . The detailed information about the model is available in the SI, specifically in the file “Tomazou.html”. III) The CRISPRlator circuit. a) Topology of the CRISPRlator. b) Topology of the circuit in the interface. For example, N 1 NOHILL |− N 3 denotes that node N 1 is repressed by N 3 through an input named NOHILL, which corresponds to the CRISPRi interaction in the node model. This repression is incorporated into the system by introducing new reactions (R 6 and R 7 in Table S4), where the dCas:sgRNA N3 complex binds to DNA N1 , inhibiting transcription at node N 1 . c) Deterministic and d) stochastic simulations of the CRISPRlator generated by the model detailed in Table S4 in the SI. The detailed information about the model is available in the SI, specifically in the file “CRISPR.html”. The deterministic simulations were fulfilled with the “ode15s” solver of MATLAB, while the stochastic simulations were performed using the “adaptivesa” solver of COPASI in every case.

Journal: bioRxiv

Article Title: GRN_modeler: An Intuitive Tool for Constructing and Evaluating Gene Regulatory Networks and its Applications to Oscillators and a Light Biosensor

doi: 10.1101/2024.12.18.629005

Figure Lengend Snippet: Applications of three different node models implemented in GRN modeler. I) The repressilator a) Topology of the repressilator. b) Topology of the circuit in the interface generated by the make graph() method: the red dots N 1 , N 2 , and N 3 represent the nodes in the circuit. The red arrows denote the directed edges of the graph, illustrating the repression interactions between nodes. Additionally, the yellow dots N 1 |− N 3 , N 2 |− N 1 , and N 3 |− N 2 represent the regulatory interactions. For example, N 1 |− N 3 denotes that node N 1 is repressed by N 3 . c) Deterministic and d) stochastic simulations of the repressilator using the Elowitz model, as described in Table S2 in the SI. The detailed information about the model is available in the SI, specifically in the file “repressilator.html”. II) Re-designed repressilator for an independent modulation of amplitude and frequency. a) Topology of the re-designed repressilator. “C” and “L” are proteases, “I 1 ” and “I 2 ” external inducers, “U” and “Y” transcription factors activating N 4 and N 2 respectively. The dotted gray lines indicate which proteins are degraded by the proteases. b) Topology of the circuit in the interface. c) The effect of the inducers on the amplitude of N 4 . d) The effect of the inducers on the time period of N 4 . The detailed information about the model is available in the SI, specifically in the file “Tomazou.html”. III) The CRISPRlator circuit. a) Topology of the CRISPRlator. b) Topology of the circuit in the interface. For example, N 1 NOHILL |− N 3 denotes that node N 1 is repressed by N 3 through an input named NOHILL, which corresponds to the CRISPRi interaction in the node model. This repression is incorporated into the system by introducing new reactions (R 6 and R 7 in Table S4), where the dCas:sgRNA N3 complex binds to DNA N1 , inhibiting transcription at node N 1 . c) Deterministic and d) stochastic simulations of the CRISPRlator generated by the model detailed in Table S4 in the SI. The detailed information about the model is available in the SI, specifically in the file “CRISPR.html”. The deterministic simulations were fulfilled with the “ode15s” solver of MATLAB, while the stochastic simulations were performed using the “adaptivesa” solver of COPASI in every case.

Article Snippet: Our application is based on MATLAB SimBiology, a powerful toolbox within the MATLAB environment designed for modeling, simulating, and analyzing biological systems.

Techniques: Generated, CRISPR