Accurate and rapid analysis of genome editing data from nucleases and base editors with CRISPResso2

By Kendell Clement, Holly A. Rees, Matthew C. Canver, Jason M. Gehrke, Rick Farouni, Jonathan Y. Hsu, Mitchel A. Cole, David R. Liu, J. Keith Joung, Daniel E. Bauer and 1 more. Nature Biotechnology, 2019

1,313 citations recorded by the source corpus.

Subfields: Insect Science, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5b8e38d802205bd3b982f93d7979266ecda2db41

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In Molecular Biology

1. Gregory A. Newby
2. Britt Adamson
3. Mustafa Sahin
4. David R. Liu
5. Jonathan S. Weissman
6. Jennifer A. Doudna
7. Lei S. Qi
8. Caixia Gao

Citations in the corpus

• Inference of CRISPR Edits from Sanger Trace Data (2019, neutral): “8 If the researcher cares only about the overall editing efficiency of a CRISPR experiment, techniques such as the T7 endonuclease assay 9 provide a fast and accessible estimate.”
• Enhanced prime editing systems by manipulating cellular determinants of editing outcomes (2021, methodology): “For each amplicon, the CRISPResso2 quantification window was positioned to include the entire sequence between pegRNA- and sgRNA-directed Cas9 cut sites, as well as an additional R 10 nt beyond both cut sites.”