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DeepCRISPR: optimized CRISPR guide RNA design by deep learning
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DOI：10.1186/s13059-018-1459-4.png)
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摘要
En 中文
A major challenge for effective application of CRISPR systems is to accurately predict the single guide RNA (sgRNA) on-target knockout efficacy and off-target profile, which would facilitate the optimized design of sgRNAs with high sensitivity and specificity. Here we present DeepCRISPR, a comprehensive computational platform to unify sgRNA on-target and off-target site prediction into one framework with deep learning, surpassing available state-of-the-art in silico tools. In addition, DeepCRISPR fully automates the identification of sequence and epigenetic features that may affect sgRNA knockout efficacy in a data-driven manner. DeepCRISPR is available at http://www.deeperispr.net/.
Keyword:
CRISPR system
Gene knockout
Deep learning
On-targets
Off-targets
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9.4
论文数:
6.4K
被引数:
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