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<html><h3>THE IMPERIAL iGEM 2007 Team </h3></html>
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Home Cell By Date Infector Detector Wet Lab Dry Lab Resources Meet the Team Entertainment Acknowledgments

The Imperial College iGEM 2007 team consists of ten 2nd year undergraduates from Bioengineering and Bioscience. This year our contribution to the synthetic biology community will be the investigation of Cell-Free Chassis, the common platform on which Cell By Date and Infector Detector will be built. The cell-free approach is particularly useful for VesoCops to operate in the medical and food industries. We believe that the characterization of this cell-free chassis will unlock fresh potential in simple constructs. Our project strategy is based on the Engineering Cycle, of which we have completed specifications and design of the systems. We are starting on modelling and implementation, and we aim to test our final constructs in the new chassis.

Our Projects

Cell by Date
Thermal Bioindicator
Infector Detector
Preventing MRSA

Cell Free Systems

A brand new chassis !

iGEM Globe Press release
Cell-Free Chassis Characterization (E.Coli S30 Cell Extract Promega)
T9002 Characterization inside Cell-Free Chassis

Recent Changes
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20 June 2024

N    14:01  Karas Lab:FREEZ Module‎‎ 7 changes history +519 [Aclesage‎ (7×)]
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11:59 (cur | prev) +435 Aclesage talk contribs (Created page with "{{Karas_Lab}} <div style="padding: 8px; color: #000000; background-color: #ffffff; width: 900px; border: 2px solid #666666;"> =Fragility Processing Pipeline= ==Preface== First things first: if you don't have RAVE installed, follow these steps to do so: RAVE:Install Next, you'll have to pre-process your patient for RAVE. Tutorials for that are available here: RAVE:ravetutorials ==Pre-Processing the Patient for Fragility==")

18 June 2024

     21:58  Renhao Li Lab:Lab Members‎‎ 2 changes history +539 [Renhao Li‎ (2×)]
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16 June 2024

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14 June 2024

N    12:55  UA Biophysics:Peptides and IA‎‎ 3 changes history +1,837 [Elizabeth Suesca‎ (3×)]
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12:45 (cur | prev) +1,861 Elizabeth Suesca talk contribs (Created page with "Debido a la rápida aparición de mecanismos de resistencia a antibióticos en diferentes microorganismos patógenos potencialmente mortales a nivel mundial, existe un gran interés en la identificación de agentes antimicrobianos alternativos que puedan ayudar en el desarrollo de nuevas estrategias de tratamiento. Mediante la aplicación de una rutina de Deep Learning, desarrollada y publicada por el grupo de investigación proponente, se predecirá una lista de candida...")
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Breaking News
more news in our archives

10th Nov 2007 Come to BioSysBio 2008@Imperial Special iGEM session !!!

30th Sep 2007

New Wiki Layout! Alexander.wong 06:31, 30 September 2007 (EDT) go to resources page to view complete navigation profile of the new wiki. feedback welcome, email alex. thanks!

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