Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning
Abstract
Editing individual nucleotides is a crucial component for validating genomic disease association. It is currently hampered by CRISPR-Cas-mediated “base editing” being limited to certain nucleotide changes, and only achievable within a small window around CRISPR-Cas target sites. The more versatile alternative, HDR (homology directed repair), has a 3-fold lower efficiency with known optimization factors being largely immutable in experiments....
Paper Details
Title
Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning
Published Date
Feb 26, 2019
Journal
Volume
9
Issue
1
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