Team:Dundee/Project/LabOverview
From 2013.igem.org
Kyleharrison (Talk | contribs) |
Kyleharrison (Talk | contribs) |
||
Line 16: | Line 16: | ||
<!-- the main content --> | <!-- the main content --> | ||
- | <div class=" | + | <div class="span12" style="text-align:justify"> |
<p>The Dundee iGEM team consisted of two teams: the wet lab and the dry lab. The wet team was responsible for all of the experimental lab work as the team comprised of three microbiologists, two molecular biologists and a biomedical scientist. There were four members of the dry team from different disciplines: a mathematical biologist, a mathematician, a physicist and a software developer. <br><br> | <p>The Dundee iGEM team consisted of two teams: the wet lab and the dry lab. The wet team was responsible for all of the experimental lab work as the team comprised of three microbiologists, two molecular biologists and a biomedical scientist. There were four members of the dry team from different disciplines: a mathematical biologist, a mathematician, a physicist and a software developer. <br><br> | ||
Revision as of 13:49, 28 September 2013
Wet Lab Overview
The Dundee iGEM team consisted of two teams: the wet lab and the dry lab. The wet team was responsible for all of the experimental lab work as the team comprised of three microbiologists, two molecular biologists and a biomedical scientist. There were four members of the dry team from different disciplines: a mathematical biologist, a mathematician, a physicist and a software developer.
Working in different locations meant that we had to be efficient in communicating with one another. We held weekly meetings every Friday afternoon to present data and progress from the previous week.
From experimental data the wet team were able to provide the dry team with concentrations of protein phosphatase 1 in E. Coli cells and how effective the bacteria mops were so that they could compare the figures to their models.
The dry team helped the wet team by creating a Matlab program for calculating molar concentrations and series dilutions of chemicals. Their mathematical models were also able to provide predictive information to allow the wet team to know what step to take next with their lab work.
This communication between the teams, and how they worked parallel to each other, led to efficient teamwork throughout the project.