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We apply deep learning models to harness the complex sequence to function relation in proteins. |Explore | We apply deep learning models to harness the complex sequence to function relation in proteins. |Explore | ||
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− | {{Heidelberg/panelelement|GAIA|https://static.igem.org/mediawiki/2017/ | + | {{Heidelberg/panelelement|GAIA|https://static.igem.org/mediawiki/2017/5/59/T--Heidelberg--2017_GAIA_LOGO.png|https://2017.igem.org/Team:Heidelberg/Software/GAIA| |
By interfacing our trained models with a genetic algorithm we developed an <i>in silico</i> evolution tool.|Explore | By interfacing our trained models with a genetic algorithm we developed an <i>in silico</i> evolution tool.|Explore | ||
}} | }} |
Revision as of 09:50, 1 November 2017
AiGEM
Artificial intelligence for Genetic Evolution Mimicking