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Repertoire Libraries


The before and after plots tell the story.  Noisy data (before) can be quickly quieted by calculating repertoire equations (after).  Notice how the clumps of data - representing five different animal species - work together to produce exactly what we need - power equations with coefficients of correlation close to one (r≈1).  The puzzle is quickly solved by merely connecting these equations into a network.