Difference between revisions of "Team:Ruperto Carola/Attributions"

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<p class="text-justify pb-4"><b>Farah Abderrahman</b> for her help in predictive modeling of receptor and ligand folding.</p>
 
<p class="text-justify pb-4"><b>Farah Abderrahman</b> for her help in predictive modeling of receptor and ligand folding.</p>
  
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<p class="text-justify pb-6">We conducted several interviews. Here we want to thank the people finding time for us.</p>
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<p class="text-justify pb-4 font size=3">We conducted several interviews. Here we want to thank the people finding time for us.</p>
  
 
<p class="text-justify pb-2"><b>Prof. Michael Knop</b> - Expert in yeast synthetic biology, systems biology and signal transduction </p>
 
<p class="text-justify pb-2"><b>Prof. Michael Knop</b> - Expert in yeast synthetic biology, systems biology and signal transduction </p>
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<h1>Attributions</h1>
 
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<p>This page is your opportunity to explain what parts of your project you did and what was done by technicians, advisers, etc. This requirement is not about literature references - these can and should be displayed throughout your wiki.
 
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<h3> Bronze Medal Criterion #3</h3>
 
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<p> All of the work done in your project must be attributed correctly on this page. You must clearly state the work that was done by the students on your team and note any work that was done by people outside of your team, including the host labs, advisors, instructors, and individuals not on the team roster.
 
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Please see the <a href="https://2019.igem.org/Judging/Medals">Medals requirements page</a> for more details.</p>
 
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<h3> What should this page contain?</h3>
 
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<li>Clearly state what the team accomplished</li>
 
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<li>General Support</li>
 
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<li>Project support and advice</li>
 
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<li>Fundraising help and advice</li>
 
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<li>Lab support</li>
 
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<li>Difficult technique support</li>
 
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<li>Project advisor support</li>
 
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<li>Wiki support</li>
 
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<li>Presentation coaching</li>
 
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<li>Human Practices support</li>
 
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<li> Thanks and acknowledgements for all other people involved in helping make a successful iGEM team</li>
 
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<p>Tell us if your institution teaches an iGEM or synthetic biology class and when you started your project:</p>
 
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<li>Does your institution teach an iGEM or synthetic biology course?</li>
 
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<li>When did you start this course?</li>
 
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<li>Are the syllabus and course materials freely available online?</li>
 
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<li>When did you start your brainstorming?</li>
 
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<li>When did you start in the lab?</li>
 
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<li>When did you start working on  your project?</li>
 
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<h3>Inspiration</h3>
 
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<p>Take a look at what other teams have done:</p>
 
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<li><a href="https://2011.igem.org/Team:Imperial_College_London/Team">2011 Imperial College London</a> (scroll to the bottom)</li>
 
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<li><a href="https://2014.igem.org/Team:Exeter/Attributions">2014 Exeter </a></li>
 
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<li><a href="https://2014.igem.org/Team:Melbourne/Attributions">2014 Melbourne </a></li>
 
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<li><a href="https://2014.igem.org/Team:Valencia_Biocampus/Attributions">2014 Valencia Biocampus</a></li>
 
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<h3> Why is this page needed? </h3>
 
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<p>The Attribution requirement helps the judges know what you did yourselves and what you had help with. We don't mind if you get help with difficult or complex techniques, but you must report what work your team did and what work was done by others.</p>
 
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For example, you might choose to work with an animal model during your project. Working with animals requires getting a license and applying far in advance to conduct certain experiments in many countries. This is difficult to achieve during the course of a summer, but much easier if you can work with a postdoc or PI who has the right licenses.</p>
 
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<h3> Can we base our project on a previous one? </h3>
 
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<p>Yes! You can have a project based on a previous team, or based on someone else's idea, <b>as long as you state this fact very clearly and give credit for the original project.</b> </p>
 
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Revision as of 20:53, 21 October 2019

Attributions

We want to thank everyone who supported us this year and thus helped us having a great iGEM season. Many people, research groups, departments and companies supported us throughout the entire project and here we finally want to say “Thank You!” for this. Special thanks go to Dr. Ali Ghanem, Prof. Dr. Stephan Wölfl who instructed our team and to Veronika Chevyreva, Michael Jendrusch, Tobias Stadelmann, and Daniel Heid who mentored us this year as advisors. We furthermore want to thank all people who attended our training presentation and gave precious feedback.

Thanks To:

Prof. Dr. Stephan Wölfl for his support of our project and advice throughout the development of the project.

Dr. Ali Ghanem for his support and help with questions about lab work and protocols as well as his expertise during the development of our project.

Dr. Angela Mauer-Oberthür and the Bioquant-Team for providing us with lab and meeting space as well as helping with technical issues in the lab.

The Most Mighty MJ (Michael Jendrusch) for always having an open ear and helping with all questions concerning technical problems, as well as much help with our modeling and wiki.

Jonathan Krause and especially Marvin Meyer for helping us with our wiki design.

Veronika Chevyreva for helping us with questions in the lab and during the development of our project.

Daniel Heid and Tobias Stadelmann for giving us advice in advertising and developing our project, as well as coaching for our presentation.

Prof. Dr. Michael Knob for his advice in handling yeast and supply of yeast based systems.

Dorothea Kaufmann for giving us an insight into the current political situation and therefore helping us to develop our project.

Vera Schubert-Röser and her class of young interested students for the great time we had teaching and learning about interest of the young scientists of tomorrow.

Farah Abderrahman for her help in predictive modeling of receptor and ligand folding.

We conducted several interviews. Here we want to thank the people finding time for us.

Prof. Michael Knop - Expert in yeast synthetic biology, systems biology and signal transduction

Dr. Lorenz Adlung - systems biologist and science enthusiast

Dr. Ingo Janausch- Department for Biological Safety, Heidelberg University

Dr. Dorothea Kaufmann - IPMB, Heidelberg University

Vera Schubert-Röser- teacher for biology, Aloisiuskolleg Bonn

Julius Upmaier zu Belzen- expert in machine learning