simbiology function Search Results


simbiology  (MathWorks Inc)
97
MathWorks Inc simbiology
An overview of available software packages and tools used by the Subcellular Workflow. Sometimes, manual intervention is needed in between workflow modules. This is especially true when an input format does not have a feature that an output format has. Additionally, some software packages have so many functions that it could be easier to use them interactively (in these cases we also added a yes in the manual intervention column)
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
https://www.bioz.com/result/simbiology/product/MathWorks Inc
Average 97 stars, based on 1 article reviews
simbiology - by Bioz Stars, 2026-04
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simbiology functions  (MathWorks Inc)
90
MathWorks Inc simbiology functions
An overview of available software packages and tools used by the Subcellular Workflow. Sometimes, manual intervention is needed in between workflow modules. This is especially true when an input format does not have a feature that an output format has. Additionally, some software packages have so many functions that it could be easier to use them interactively (in these cases we also added a yes in the manual intervention column)
Simbiology Functions, 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/simbiology functions/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
simbiology functions - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

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An overview of available software packages and tools used by the Subcellular Workflow. Sometimes, manual intervention is needed in between workflow modules. This is especially true when an input format does not have a feature that an output format has. Additionally, some software packages have so many functions that it could be easier to use them interactively (in these cases we also added a yes in the manual intervention column)

Journal: Neuroinformatics

Article Title: A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

doi: 10.1007/s12021-021-09546-3

Figure Lengend Snippet: An overview of available software packages and tools used by the Subcellular Workflow. Sometimes, manual intervention is needed in between workflow modules. This is especially true when an input format does not have a feature that an output format has. Additionally, some software packages have so many functions that it could be easier to use them interactively (in these cases we also added a yes in the manual intervention column)

Article Snippet: In this particular use case, we specifically focused on creating scripts to achieve interoperability between human readable model specification standards and machine- readable standards, and we also wanted to facilitate how a subcellular signaling model could be implemented in different solvers with different strengths, in this case both SimBiology® in MATLAB®, as well as STEPS and NEURON.

Techniques: Software, Plasmid Preparation, Functional Assay

Simulations in identical conditions in both MATLAB® SimBiology® and COPASI yielded almost identical results. A Inputs used in both simulators. The calcium input is kept constant at 4 s for all simulations and dopamine input time is varied from time 0 to 8 s at every one second. The difference from the previous simulations is in the calcium input which, for the sake of simplicity, is represented by a double exponential spike. B and C show substrate phosphorylation curves analogous to Fig. , the red line represents results obtained in MATLAB® and blue line results from simulations in COPASI. A single 30 s simulation took around 10 s of compute time within a 1 fl spine volume (Intel® Core™ i7-8750H)

Journal: Neuroinformatics

Article Title: A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

doi: 10.1007/s12021-021-09546-3

Figure Lengend Snippet: Simulations in identical conditions in both MATLAB® SimBiology® and COPASI yielded almost identical results. A Inputs used in both simulators. The calcium input is kept constant at 4 s for all simulations and dopamine input time is varied from time 0 to 8 s at every one second. The difference from the previous simulations is in the calcium input which, for the sake of simplicity, is represented by a double exponential spike. B and C show substrate phosphorylation curves analogous to Fig. , the red line represents results obtained in MATLAB® and blue line results from simulations in COPASI. A single 30 s simulation took around 10 s of compute time within a 1 fl spine volume (Intel® Core™ i7-8750H)

Article Snippet: In this particular use case, we specifically focused on creating scripts to achieve interoperability between human readable model specification standards and machine- readable standards, and we also wanted to facilitate how a subcellular signaling model could be implemented in different solvers with different strengths, in this case both SimBiology® in MATLAB®, as well as STEPS and NEURON.

Techniques: Phospho-proteomics