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Igrna Prediction and Selection Ai Models (Igrna-Ps) for Bystander-Less Abe Base Editing

https://doi.org/10.2139/ssrn.4800964
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Increasing the genome-targeting scope and precision of base editing with engineered Cas9-cytidine deaminase fusions
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Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods
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Imperfect guide-RNA (igRNA) enables CRISPR single-base editing with ABE and CBE
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