Prediction of sgRNA on-target activity in bacteria by deep learning
Abstract
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 apply to prokaryotes.We designed and implemented a convolutional neural network to predict sgRNA activity in Escherichia coli. The network was trained and tested...
Paper Details
Title
Prediction of sgRNA on-target activity in bacteria by deep learning
Published Date
Oct 24, 2019
Journal
Volume
20
Issue
1
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