sgRNA Scorer 2.0: A Species-Independent Model To Predict CRISPR/Cas9 Activity
Author:
Affiliation:
1. Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, United States
2. Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States
Funder
National Human Genome Research Institute
Publisher
American Chemical Society (ACS)
Subject
Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine
Link
https://pubs.acs.org/doi/pdf/10.1021/acssynbio.6b00343
Reference18 articles.
1. Unraveling CRISPR-Cas9 genome engineering parameters via a library-on-library approach
2. Sequence determinants of improved CRISPR sgRNA design
3. Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
4. CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo
5. CHOPCHOP v2: a web tool for the next generation of CRISPR genome engineering
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