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GENOME EDITING

Machine learning finds Cas9-edited genotypes

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A machine-learning algorithm reliably predicts Cas9-edited genotypes arising from the repair of DNA double-strand breaks in mouse cells and human cells.

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Fig. 1: The major editing outcomes after Cas9-mediated DNA cleavage can be predicted by machine learning.

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Authors and Affiliations

  1. Department of Chemistry, Hanyang University, Seoul, South Korea

    Sangsu Bae

  2. Department of Chemistry, Seoul National University and Center for Genome Engineering, Institute for Basic Science, Seoul, South Korea

    Jin-Soo Kim

Authors
  1. Sangsu Bae
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  2. Jin-Soo Kim
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Corresponding author

Correspondence to Jin-Soo Kim.

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Competing interests

J.-S.K. is a co-founder of and holds stock in ToolGen, Inc., a company focused on therapeutic genome editing.

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Bae, S., Kim, JS. Machine learning finds Cas9-edited genotypes. Nat Biomed Eng 2, 892–893 (2018). https://doi.org/10.1038/s41551-018-0327-6

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