Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing.

Journal: Trends in biotechnology
PMID: 31526571

Abstract

SpCas9 creates blunt end cuts in the genome and generates random and unpredictable mutations through error-prone repair systems. However, a growing body of recent evidence points instead to Cas9-induced staggered end generation, nonrandomness of mutations, and the predictability of editing outcomes using machine learning models.

Authors

  • Kutubuddin A Molla
    Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA 16802, USA; Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA; ICAR-National Rice Research Institute, Cuttack 753006, India.
  • Yinong Yang
    Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA 16802, USA; Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: yuy3@psu.edu.

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