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Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

Crossref DOI link: https://doi.org/10.1038/nbt.4061

Published Online: 2018-01-29

Published Print: 2018-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Hui Kwon

Min, Seonwoo

Song, Myungjae

Jung, Soobin

Choi, Jae Woo

Kim, Younggwang

Lee, Sangeun

Yoon, Sungroh https://orcid.org/0000-0002-2367-197X
Kim, Hyongbum (Henry) https://orcid.org/0000-0002-4693-738X
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Text and Data Mining valid from 2018-01-29
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Article History

Received: 24 May 2017

Accepted: 8 December 2017

First Online: 29 January 2018

Competing interests

: Yonsei University and Seoul National University have filed a patent based on this work, in which H.K.K., S.M., M.S., S.J., S.Y., and H.K. are co-inventors.