Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing

Kutubuddin A. Molla, Yinong Yang

Research output: Contribution to journalShort surveypeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)136-141
Number of pages6
JournalTrends in Biotechnology
Volume38
Issue number2
DOIs
StatePublished - Feb 2020

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering

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