Difference between revisions of "Team:William and Mary/Achievements"
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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> | ||
<li>Designed novel experimental protocols for the <a href = 'https://2018.igem.org/Team:William_and_Mary/Measurement' style = 'color:green;'> characterization of dynamic circuits</a>.</li> | <li>Designed novel experimental protocols for the <a href = 'https://2018.igem.org/Team:William_and_Mary/Measurement' style = 'color:green;'> characterization of dynamic circuits</a>.</li> | ||
| − | <li>Implemented <a href='https://2018.igem.org/Team:William_and_Mary/3G' style = 'color:green;> 3G Assembly</a>, a new method of DNA Assembly that enables the construction of multi-transcriptional unit circuits in a single day.</li> | + | <li>Implemented <a href='https://2018.igem.org/Team:William_and_Mary/3G' style = 'color:green;'> 3G Assembly</a>, a new method of DNA Assembly that enables the construction of multi-transcriptional unit circuits in a single day.</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> | ||
<li>Created a <a href = 'https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'>mathematical model</a> 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)</li> | <li>Created a <a href = 'https://2018.igem.org/Team:William_and_Mary/Results' style = 'color:green;'>mathematical model</a> 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)</li> | ||
<li>Determined that our decoding circuit is robust to <a href = 'https://2018.igem.org/Team:William_and_Mary/Model' style = 'color:green;'> noisy inputs</a>.</li> | <li>Determined that our decoding circuit is robust to <a href = 'https://2018.igem.org/Team:William_and_Mary/Model' style = 'color:green;'> noisy inputs</a>.</li> | ||
| − | <li>Investigated the impact of <a href='https://2018.igem.org/Team:William_and_Mary/Model' style = 'color:green;>degradation strength</a> on the decoding circuit, finding that tuning of degradation rates can further improve the decoding ability of the system.</li> | + | <li>Investigated the impact of <a href='https://2018.igem.org/Team:William_and_Mary/Model' style = 'color:green;'>degradation strength</a> on the decoding circuit, finding that tuning of degradation rates can further improve the decoding ability of the system.</li> |
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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