Created on Jan. 14, 2013, 5:15 p.m. by Hevok & updated on Jan. 28, 2013, 1:27 p.m. by Hevok
There are many possibilities to analyze molecular Signatures. They can be compared to each other, meta-signature via Meta-Analysis can be derived, functional enriched terms can be assessed as well as Lifespan Factors identified.
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It is possible to make such analyses just like a game. In its essence a molecular Signature can be treated basically as a list of Factors. So even non-scientist can play with them and see what they can discover. However, it needs to be very visually and interactive as well as intuitive.
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In order to make this possible first of all identify all aging-related micro-array Datasets References. Classify them as Signatures
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Include online resources (e.g. GEO, ArrayExpress) on gene expression data in the Links app to establish connection to this platforms. Classify them as online resource
and Signatures
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It may also possible to upload specific Profiles and Signatures on to Denigma in order to transform them into a unified format amenable to computation and comparisons. Though the procedure and best format need to be established to make this scalable.
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The first step is that we can make </ins><span>finding and classifying all Aging-relevant gene Expressions Datasets</span><ins style="background:#e6ffe6;">
possible and straightforward. This should already be like a game as we seek to provide an up-to-date assembley of all Aging gene expression Signatures for completeness.
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Identifying and correctly classifying a dataset will be merited with an aAchievement system and therefore Encouraging Initiative. This is the first step towards a game. It shall provide the feeling of "Catch 'em all!"
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Then we can see how we can obtain Datasets automatically and transform all of those into a common unified format.
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Finally we will enable to analyse signatures via different means in an interactive and a visual attractive fashion. From this students/teenagers can try to formulate hypotheses and get the possibility to test them even at home via Distributed Science.
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