Prediction of sgRNA on-target activity in bacteria by deep learning

BACKGROUND: One of the main challenges for the CRISPR-Cas9 system is selecting optimal single-guide RNAs (sgRNAs). Recently, deep learning has enhanced sgRNA prediction in eukaryotes. However, the prokaryotic chromatin structure is different from eukaryotes, so models trained on eukaryotes may not a...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Zhang, Juhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814057/
https://www.ncbi.nlm.nih.gov/pubmed/31651233
http://dx.doi.org/10.1186/s12859-019-3151-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814057/
https://www.ncbi.nlm.nih.gov/pubmed/31651233
http://dx.doi.org/10.1186/s12859-019-3151-4

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