Mechanical Efficiency of Real Machines
RNA Editing
Nucleotide Excision Repair
Nucleotide Excision Repair
Conserved Binding Sites
Ligand Binding Sites
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CRISPR-Cas9-Mediated Precise Knock-In Edits in Zebrafish Hearts
Published on: September 13, 2022
Aidan R O'Brien1,2, Laurence O W Wilson1, Gaetan Burgio3
1CSIRO, Sydney, NSW, Australia.
We identified key factors influencing gene editing efficiency using machine learning. Our findings significantly improve homology-directed repair (HDR) outcomes and led to the development of a novel tool for designing optimal editing strategies.
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