CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes

MOTIVATION: CRISPR/Cas9 is a revolutionary gene-editing technology that has been widely utilized in biology, biotechnology and medicine. CRISPR/Cas9 editing outcomes depend on local DNA sequences at the target site and are thus predictable. However, existing prediction methods are dependent on both...

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Detalles Bibliográficos
Autores principales: Li, Victoria R, Zhang, Zijun, Troyanskaya, Olga G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Regulatory and Functional Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275342/
https://www.ncbi.nlm.nih.gov/pubmed/34252931
http://dx.doi.org/10.1093/bioinformatics/btab268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275342/
https://www.ncbi.nlm.nih.gov/pubmed/34252931
http://dx.doi.org/10.1093/bioinformatics/btab268

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