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SIP Wiki Analyser : Results

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Our first aim was to determine who will be the winner of the igem competition, analysing the wikis, finding original words, cooperative words or paper's lab words. Unfortunately, we didn't have time to make that, but we find that SIP characterize very well wiki, and find some original words.

We have calculate SIP words for each team and each year since 2007 using SIP.C, for each them we have take the 25 top sip valued words. We use TOP_SIP.C to make that, this software see what is the hight SIP value and then take 25 random words with this hight SIP or if there're not at least 25 words, decrement the hight SIP value. When we got our 25 words, we put in a [http://www.wordle.net/ software], to display them with graphical effect : words with hight frequencies has a big font, and words with low frequencies has a small font.

First, we analyse the team Paris from 2007 year and we get that :

You can see some gene displayed on the screen, which characterize the project :

• smb : the name of the project.
• cre/lox/lox66/dgat/dapa etc. name of genes, characterize their project.

Then I try with paris 2009 :

I find vesicule, omv, ClyA, but you can also find words that you don't understand like : mardi, avoir, bien, avec. In fact these words are french words, very common french words (translation for each is thuesday, have, good, with) so SIP put them here, because it's french words, only this team used these terms, and because they are common in french language, they are a big frequence in the text.