Team:ETH Zurich/Team/Overview
From 2008.igem.org
m (→Boot Camp) |
m (→Boot Camp) |
||
Line 50: | Line 50: | ||
|- | |- | ||
| Mo, 28.4 | | Mo, 28.4 | ||
- | | Modeling biological systems:<br> | + | | Modeling biological systems:<br>[http://www.nature.com/nature/journal/v443/n7111/abs/nature05127.html From in vivo to in silico biology and back]<br>[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B7CV1-4R0B1NJ-W&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_version=1&_urlVersion=0&_userid=10&md5=986df2ce56132cac5c30392f7970e2a4 Methods for Simulating the Dynamics of Complex Biological Processes] |
| Network dynamics:<br> | | Network dynamics:<br> | ||
|- | |- |
Revision as of 16:50, 28 October 2008
How the Team MetPart of the team learned about iGEM during the Synthetic Biology Lecture given by our instructors at ETH. Another part of the team applied after receiving the following ETH wide e-mail promoting iGEM:
For this year's team nine students got selected, and on Wednesday, April 16th, the first meeting was scheduled. As you can see on our Team Members Page, students from very diverse fields were offered the possibility to participate in the ETH iGEM team. Boot CampThe following weeks were what last year's team had refered to as "Boot Camp". Our advisors organized two weeks of an intense crash course into the field of synthetic biology, during which we learned about the diverse aspects of the field:
Lab CourseAdditionally, one week of lab crash course was integrated into the "Boot Camp" in the beginning of June. The aim of this course was to introduce non-biologists to basic techniques of micro- and molecular biology. That way they were able to assist the biologists so that the latters could concentrate more on experimental planning and interpretation of results. The idea was to grasp this chance of an interdisciplinary project in order to offer the students the possibility to get an insight into a field that is totally different from their university background. Therefore, the modellers got comfortable in the lab, and the biologists learned about modelling.
|