A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action

The adaptation of the CRISPR-Cas9 system as a genome editing technique has generated much excitement in recent years owing to its ability to manipulate targeted genes and genomic regions that are complementary to a programmed single guide RNA (sgRNA). However, the efficacy of a specific sgRNA is not...

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Detalles Bibliográficos
Autores principales: Abadi, Shiran, Yan, Winston X., Amar, David, Mayrose, Itay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658169/
https://www.ncbi.nlm.nih.gov/pubmed/29036168
http://dx.doi.org/10.1371/journal.pcbi.1005807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658169/
https://www.ncbi.nlm.nih.gov/pubmed/29036168
http://dx.doi.org/10.1371/journal.pcbi.1005807

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