DeepCRISPR: optimized CRISPR guide RNA design by deep learning.
DeepCRISPR: optimized CRISPR guide RNA design by deep learning.
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DeepCRISPR：通过深度学习优化 CRISPR 引导 RNA 设计
DOI：
10.1186/s13059-018-1459-4
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发表时间：
2018-06-26
期刊：
影响因子：
12.3
通讯作者：
Liu Q
中科院分区：
文献类型：
--
作者：
Chuai G;Ma H;Yan J;Chen M;Hong N;Xue D;Zhou C;Zhu C;Chen K;Duan B;Gu F;Qu S;Huang D;Wei J;Liu Q
CRISPR系统有效应用的一个主要挑战是准确预测单向导RNA（sgRNA）在靶敲除效率和脱靶谱，这将有助于优化设计具有高灵敏度和特异性的sgRNA。在这里，我们介绍了DeepCRISPR，这是一个综合的计算平台，可以通过深度学习将sgRNA的靶点和脱靶点预测统一到一个框架中，超越了现有的最先进的计算机工具。此外，DeepCRISPR以数据驱动的方式完全自动化识别可能影响sgRNA敲除功效的序列和表观遗传特征。 http://www.deepcrispr.net/ .
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 presentDeepCRISPR, 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,DeepCRISPRfully automates the identification of sequence and epigenetic features that may affect sgRNA knockout efficacy in a data-driven manner.DeepCRISPRis available at http://www.deepcrispr.net/ .