DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiency
MOTIVATION: CRISPR/Cas9 technology has been revolutionizing the field of gene editing in recent years. Guide RNAs (gRNAs) enable Cas9 proteins to target specific genomic loci for editing. However, editing efficiency varies between gRNAs. Thus, computational methods were developed to predict editing...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Online Access: | View Fulltext in Publisher |