Nature Communications (Sep 2019)

Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning

  • Daqi Wang,
  • Chengdong Zhang,
  • Bei Wang,
  • Bin Li,
  • Qiang Wang,
  • Dong Liu,
  • Hongyan Wang,
  • Yan Zhou,
  • Leming Shi,
  • Feng Lan,
  • Yongming Wang

DOI
https://doi.org/10.1038/s41467-019-12281-8
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 14

Abstract

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Application of highly specific Cas9 variants can be restricted by the design of the guide RNA. Here the authors present DeepHF, a gRNA activity prediction tool built from genome-scale screens of 50,000 guides covering 20,000 genes.