Team:Paris Bettencourt/HumanPractice/collaborationMap

From 2011.igem.org

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<center><img src="https://static.igem.org/mediawiki/2011/4/4f/LegendCOLABPARIS2011.png"></center>
<center><img src="https://static.igem.org/mediawiki/2011/4/4f/LegendCOLABPARIS2011.png"></center>
<h2>Level of collaboration</h2>
<h2>Level of collaboration</h2>
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this map propose Three differents graphs :
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The following graphs offer us three different options:
<ul>
<ul>
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<li> The first, show teams collapsed by level of collaboration for each region :
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<li> The first one shows teams collapsed by level of collaboration for each region:
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the first lvl is no colaboration, the second is collaboration only with teams of the same region, and the third is collaboration between regions. </li>
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the first level is no collaboration, the second is collaboration only with teams of the same region, and the third is collaboration between regions. </li>
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<li> The second graph show us the repartition of collaborating teams by country : each teams of the same country have the same color</li>
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<li> The second graph shows the distribution of collaborating teams by country: each teams of the same country have the same color</li>
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<li> The third one show the ratio of collaboration per region : all the teams of each region have the same color</li>
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<li> The third one shows the ratio of collaboration per region: all the teams of each region have the same color</li>
</ul>
</ul>
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<p>For example on this map we can see that countries with a lot of teams have just a little parts of them witch are collaborating (look at, China and US)</p>
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<p>For example on this map we can see that countries with a lot of teams have just a little parts of them which are collaborating (look at, China and US)</p>
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<center>
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<h2>TouchGraph simple manual for collaboration graphes</h2>
<h2>TouchGraph simple manual for collaboration graphes</h2>
<p>You can found here the database used : <a href="https://static.igem.org/mediawiki/2011/4/47/Data_final.zip">Data file and project file</a></p>
<p>You can found here the database used : <a href="https://static.igem.org/mediawiki/2011/4/47/Data_final.zip">Data file and project file</a></p>
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<p>all the graphes used on this page are extracted from TouchGraph representation</p>
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<p>All the graphs used on this page are extracted from TouchGraph representation</p>
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<p>to use those data, download TouchGraph and instal it.</p>
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<p>To use these data, you can download TouchGraph and install it.</p>
<p>Next, load the project file and the Data file.</p>
<p>Next, load the project file and the Data file.</p>
<p>In the TouchGraph menu, choose settings-> filter to change the year, or for adding more filter.</p>
<p>In the TouchGraph menu, choose settings-> filter to change the year, or for adding more filter.</p>

Revision as of 02:43, 29 October 2011

Team IGEM Paris 2011

Collaboration Map

Nanotubes is a new way of communication between bacteria but it also highlights the importance of collaboration between bacteria in order to survive (antibiotic cross resistance for example). Our question is: do the iGEM teams make (nano)tubes between each other in order to succeed in this competition? Indeed, building collaborative projects, sharing biobricks, strains or protocols could give a selective advantage to the teams that collaborate. Nanotubes can create random relationships that can be of a long or short duration... Just the way it happens with people! Indeed, teams can exchange imformation and knowledge by collaborating, sometimes at an international level. Collaboration between teams can be a long-term relationship (like the one between Paris Bettencourt and PKU), or shorter flings as we will see.

Objectives

  1. Extract data from wikis (collaborations, medals, prizes, geographic location)

  2. Represent the collaboration between teams as a network

  3. Relate success in the competition to collaborations and other parameters

Collaboration map per year using Touchgraph

This map represent the collaboration between teams between 2009 and 2011. All these data were directly obtained from the wikis. It shows us that the most collaborative teams are the newly formed ones.

Legend

Level of collaboration

The following graphs offer us three different options:
  • The first one shows teams collapsed by level of collaboration for each region: the first level is no collaboration, the second is collaboration only with teams of the same region, and the third is collaboration between regions.
  • The second graph shows the distribution of collaborating teams by country: each teams of the same country have the same color
  • The third one shows the ratio of collaboration per region: all the teams of each region have the same color

For example on this map we can see that countries with a lot of teams have just a little parts of them which are collaborating (look at, China and US)

Japan collaboration over time

we took the example fo the Japan collaboration over the years because all the teams usually collaborate mostly with other Japan team.

TouchGraph simple manual for collaboration graphes

You can found here the database used : Data file and project file

All the graphs used on this page are extracted from TouchGraph representation

To use these data, you can download TouchGraph and install it.

Next, load the project file and the Data file.

In the TouchGraph menu, choose settings-> filter to change the year, or for adding more filter.

All the parameters of the graph can be edited with the Settings-> show Dialog menu

More information about TouchGraph can be find there : TouchGraph Manual