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UC San Diego researchers led by James T. Kadonaga used machine learning to decode the DNA pattern of the initiator, a gene activation element. Testing 500,000 versions, the AI found roughly 60% of human genes contain the initiator, aiding mutation and synthetic promoter research.
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