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Team:Newcastle University
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|title=Welcome! | |title=Welcome! | ||
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|content=This year is Newcastle's first year participating in the iGEM competition! We are a small team of four students, three supervisors, and four advisors, but we have high ambitions for our first year. Recognizing the problem of antibiotic resistant bacteria and poor methods of diagnosis in underdeveloped countries, we aim to use synthetic biology and bioinformatics to engineer a simple, safe, fast, and reliable biological diagnostic system to identify bacteria. | |content=This year is Newcastle's first year participating in the iGEM competition! We are a small team of four students, three supervisors, and four advisors, but we have high ambitions for our first year. Recognizing the problem of antibiotic resistant bacteria and poor methods of diagnosis in underdeveloped countries, we aim to use synthetic biology and bioinformatics to engineer a simple, safe, fast, and reliable biological diagnostic system to identify bacteria. | ||
|content-link= [[Team:Newcastle_University/Team|more about our team...]]}} | |content-link= [[Team:Newcastle_University/Team|more about our team...]]}} | ||
Revision as of 15:39, 20 June 2008
Newcastle University
GOLD MEDAL WINNER 2008
| Home | Team | Original Aims | Software | Modelling | Proof of Concept Brick | Wet Lab | Conclusions |
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Welcome!
This year is Newcastle's first year participating in the iGEM competition! We are a small team of four students, three supervisors, and four advisors, but we have high ambitions for our first year. Recognizing the problem of antibiotic resistant bacteria and poor methods of diagnosis in underdeveloped countries, we aim to use synthetic biology and bioinformatics to engineer a simple, safe, fast, and reliable biological diagnostic system to identify bacteria. ( more about our team... )
Biological Theme: Bug Busters
We are developing a diagnostic tool that enables the detection of a range of Gram-positive bacterial pathogens endemic in patients around the world. This new system will enable visual detection of these pathogens within minutes. This application would have importance not only in hospital settings, but also in the third world. ( more... )
