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DeepCRISPR: optimized CRISPR guide RNA design by deep learning

Guohui Chuai; Qi Liu

DeepCRISPR is a deep learning based prediction model for sgRNA on-target knockout efficacy and genome-wide off-target cleavage profile prediction.

This model is based on a carefully designed hybrid deep neural network for model training and prediction.

Current version focuses on conventional NGG-based sgRNA design for SpCas9 in human species, for it is widely used in related experiments.

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Publication date:
May 14, 2018
DOI:
10.5281/zenodo.1246320

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10.5281/zenodo.1246320

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Keyword(s):
CRISPR deep learning
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Version v1.0 10.5281/zenodo.1246320 May 14, 2018
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