In vivo high-throughput profiling of CRISPR–Cpf1 activity
2016 · Nature Methods · 397 citations
https://doi.org/10.1038/nmeth.4104
H
Hui Kwon Kim
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Hui Kwon Kim is an academic researcher from Yonsei University. The author has contributed to research in topics: CRISPR and Genetic Engineering & RNA and protein synthesis mechanisms & RNA regulation and disease. The author has an h-index of 13, co-authored 17 publications.
ORCID: 0000-0003-0694-9244Papers by this author
worksDeep learning improves prediction of CRISPR–Cpf1 guide RNA activity
2018 · Nature Biotechnology · 375 citations
https://doi.org/10.1038/nbt.4061
Predicting the efficiency of prime editing guide RNAs in human cells
2020 · Nature Biotechnology · 274 citations
https://doi.org/10.1038/s41587-020-0677-y
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
2019 · Science Advances · 238 citations
https://doi.org/10.1126/sciadv.aax9249
Prediction of efficiencies for diverse prime editing systems in multiple cell types
2023 · Cell · 106 citations
https://doi.org/10.1016/j.cell.2023.03.034
Recording of elapsed time and temporal information about biological events using Cas9
2021 · Cell · 42 citations
https://doi.org/10.1016/j.cell.2021.01.014
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