Researchers at the Wellcome Sanger Institute used prime editing to develop a novel tool to predict the chances of successfully inserting a gene-edited sequence of DNA into the genome of a cell. An ...
The success of prime editing depends on the prime editing guide RNA (pegRNA) design and target locus. Here, we developed machine learning models that reliably predict prime editing efficiency.
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Prime editors (PEs) are promising genome-editing tools, but effective optimization of prime-editing guide RNA (pegRNA) design remains a challenge owing to the lack of accurate and broadly applicable ...
A new tool to predict the chances of successfully inserting a gene-edited sequence of DNA into the genome of a cell, using a technique known as prime editing, has been developed by researchers at the ...
Researchers at the Wellcome Sanger Institute have developed a machine-learning tool to predict CRISPR-Cas9 gene-editing errors. (kirstypargeter/iStock/Getty Images ...