Bioinformatics (Oxford, England)

CROP: A context-aware method to predict CRISPR-Cas9 gene editing errors without relying on specific DNA features

Updated

Abstract

Accurate prediction of frameshift rates is essential for effective CRISPR-Cas9 genome editing.

  • The CRISPR-Cas9 system utilizes a 20-nucleotide guide RNA to direct the Cas9 nuclease to specific genomic locations.
  • Cleavage by Cas9 results in double-stranded DNA breaks that are repaired through cellular mechanisms.
  • Frameshifts occur when the DNA repair process leads to changes in the sequence length that are not multiples of three.
  • Previous prediction methods for frameshift rates were limited by a narrow range of experimental contexts and reliance on manually defined features.

Simplified

Full Text

Full text is available at the source.

Funding

Competing interests

None declared.
PubMed

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