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DeepCRISPR: optimized CRISPR guide RNA design by deep learning.

ABSTRACT: 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.deepcrispr.net/ .

SUBMITTER: Chuai G

PROVIDER: S-EPMC6020378 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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DeepCRISPR: optimized CRISPR guide RNA design by deep learning.

Chuai Guohui G Ma Hanhui H Yan Jifang J Yan Jifang J Chen Ming M Hong Nanfang N Xue Dongyu D Zhou Chi C Zhu Chenyu C Chen Ke K Duan Bin B Gu Feng F Qu Sheng S Huang Deshuang D Wei Jia J Liu Qi Q

Genome biology 20180626 1

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, DeepCRISP ...[more]

PMID: 29945655

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