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<li>Confirmed the biological theory behind a <a href = 'https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'> mathematical model of signal processing</a></li> | <li>Confirmed the biological theory behind a <a href = 'https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'> mathematical model of signal processing</a></li> | ||
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<li>Created an <a href='https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'>abstract model</a> of an IFFL and determined that IFFLs are capable of performing as temporal distinguishers.</li> | <li>Created an <a href='https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'>abstract model</a> of an IFFL and determined that IFFLs are capable of performing as temporal distinguishers.</li> |
Latest revision as of 01:54, 18 October 2018
Achievements
Project Achievements
- Confirmed the biological theory behind a mathematical model of signal processing
- Designed novel experimental protocols for the characterization of dynamic circuits.
- Implemented 3G Assembly, a new method of DNA Assembly that enables the construction of multi-transcriptional unit circuits in a single day.
Modeling Achievements
- Created an abstract model of an IFFL and determined that IFFLs are capable of performing as temporal distinguishers.
- Created a mathematical model of our temperature controlled decoding system and determined that it functions effectively as a decoder, being far more effective than a naive (non IFFL system)
- Determined that our decoding circuit is robust to noisy inputs.
- Investigated the impact of degradation strength on the decoding circuit, finding that tuning of degradation rates can further improve the decoding ability of the system.
Outreach Achievements