Automated high-throughput genome editing platform with an ai learning in situ prediction model

HIGHLIGHTS

• who: Siwei Li from the (UNIVERSITY) have published the research: Automated high-throughput genome editing platform with an AI learning in situ prediction model, in the Journal: (JOURNAL) of 22/04/2022
• what: Based on the large in situ genome editing data obtained by the automatic highthroughput platform, the authors develop a Chromatin Accessibility Enabled Learning Model (CAELM) to predict the performance of cytosine base editors (CBEs), both chromatin accessibility and the context-sequence are utilized to build the model, which accurately predicts the result of in situ base editing. The authors devise an automated . . .
  

   

  

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