SURF 2021: Modeling tools for design and analysis of synthetic biological circuits: Difference between revisions
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'''[[SURF 2020|SURF 2020]] project description''' | '''[[SURF 2020|SURF 2020]] project description''' | ||
[[File:SynBioModelingPipeline.jpg|thumb|500px|right|Figure 1: Modeling and analysis tools in synthetic biology pipeline]] | |||
* Mentor: Richard Murray | * Mentor: Richard Murray | ||
* Co-mentor: Ayush Pandey | * Co-mentor: Ayush Pandey | ||
Research directions for the SURF project include: | Research directions for the SURF project include: | ||
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* System identification by parts, global sensitivity analysis, model decomposition, reduced models | * System identification by parts, global sensitivity analysis, model decomposition, reduced models | ||
* Using extract and tx-tl data | * Using extract and tx-tl data | ||
We are interested in both theoretical and computational directions for this project. | We are interested in both theoretical and computational directions for this project. | ||
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# BioCRNpyler | # BioCRNpyler | ||
# Sub-SBML | # Sub-SBML | ||
Revision as of 06:20, 11 December 2019
SURF 2020 project description
- Mentor: Richard Murray
- Co-mentor: Ayush Pandey
Research directions for the SURF project include:
- Modeling of cell-free systems
- System identification by parts, global sensitivity analysis, model decomposition, reduced models
- Using extract and tx-tl data
We are interested in both theoretical and computational directions for this project.
References:
- Tuza, Zoltan A., et al. "An in silico modeling toolbox for rapid prototyping of circuits in a biomolecular “breadboard” system." 52nd IEEE Conference on Decision and Control. IEEE, 2013. Link
- Bioscrape
- BioCRNpyler
- Sub-SBML
