Prediction of on-target and off-target activity of CRISPR–Cas13d guide RNAs using deep learning - Nature Biotechnology

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Prediction of on-target and off-target activity of CRISPR–Cas13d guide RNAs using deep learning

Cho, K., van Merriënboer, B., Bahdanau, D. & Bengio, Y. On the properties of neural machine translation: encoder–decoder approaches. In 103–111 .We thank the entire Sanjana and Knowles Labs for their support and advice. D.A.K. is supported by Columbia and NYGC startup funds, NIH/NCI and an NSF CAREER . N.E.S.

is supported by NYU and NYGC startup funds, NIH/NHGRI , NIH/NCI , NIH/NIGMS , DARPA , Cancer Research Institute and the Simons Foundation for Autism Research Initiative.Authors and AffiliationsHans-Hermann Wessels, Andrew Stirn, Alejandro Méndez-Mancilla, Sydney K. Hart, David A. Knowles & Neville E. SanjanaHans-Hermann Wessels, Alejandro Méndez-Mancilla, Sydney K. Hart & Neville E. SanjanaAndrew Stirn, Eric J. Kim & David A.

 

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