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

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

Abstract 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 m...

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Bibliographic Details
Main Authors: Lei Wang, Juhua Zhang
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Bioinformatics
Subjects:
CRISPR-Cas9
On-target activity
Prokaryotes
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12859-019-3151-4

Internet

http://link.springer.com/article/10.1186/s12859-019-3151-4

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