Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods

Title
Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods
Authors
Keywords
-
Journal
Nature Communications
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-08-12
DOI
10.1038/s41467-021-25217-y

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