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  Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applications

Labuhn, M., Adams, F. F., Ng, M., Knoess, S., Schambach, A., Charpentier, E. M., et al. (2018). Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applications. Nucleic Acids Research (London), 46(3), 1375-1385. doi:10.1093/nar/gkx1268.

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/)
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 Creators:
Labuhn, Maurice, Author
Adams, Felix F., Author
Ng, Michelle, Author
Knoess, Sabine, Author
Schambach, Axel, Author
Charpentier, Emmanuelle M.1, Author           
Schwarzer, Adrian, Author
Mateo, Juan L., Author
Klusmann, Jan-Henning, Author
Heckl, Dirk, Author
Affiliations:
1Department of Regulation in Infection Biology, Max Planck Institute for Infection Biology, Max Planck Society, ou_2266691              

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Language(s): eng - English
 Dates: 2017-12-182018-02-18
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/nar/gkx1268
Other: Immediate Open Access
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Title: Nucleic Acids Research (London)
  Other : Nucleic Acids Res
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 46 (3) Sequence Number: - Start / End Page: 1375 - 1385 Identifier: ISSN: 0305-1048
CoNE: https://pure.mpg.de/cone/journals/resource/110992357379342