Change - Microarray Game

Created on Jan. 14, 2013, 5:15 p.m. by Hevok & updated on Jan. 28, 2013, 1:20 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 finding and classifying all Aging-relevant gene Expressions Datasets possible and straightforward. This should already be like a game as we seek to provide an up-to-date assemble of all Aging gene expression Signatures for completeness. ¶
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Identifying and correctly classifying a dataset will be merited with an achievement 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. From this students/teenagers can try to formulate hypotheses and get the possibility to test them even at home via Distributed Science.