Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing

Kutubuddin A. Molla, Yinong Yang

Research output: Contribution to journalShort survey

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)
JournalTrends in Biotechnology
DOIs
StateAccepted/In press - Jan 1 2019

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Clustered Regularly Interspaced Short Palindromic Repeats
Learning systems
Repair
Genes
Mutation
Genome
Gene Editing

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering

Cite this

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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.",
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Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing. / Molla, Kutubuddin A.; Yang, Yinong.

In: Trends in Biotechnology, 01.01.2019.

Research output: Contribution to journalShort survey

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