|In vivo high-throughput profiling of CRISPR–Cpf1 activity|
HK Kim, M Song, J Lee, AV Menon, S Jung, YM Kang, JW Choi, E Woo, ...
Nature methods 14 (2), 153-159, 2017
|Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity|
HK Kim, S Min, M Song, S Jung, JW Choi, Y Kim, S Lee, S Yoon, HH Kim
Nature biotechnology 36 (3), 239, 2018
|The effects of combined dietary probiotics Lactococcus lactis BFE920 and Lactobacillus plantarum FGL0001 on innate immunity and disease resistance in olive flounder …|
BR Beck, D Kim, J Jeon, SM Lee, HK Kim, OJ Kim, JI Lee, BS Suh, HK Do, ...
Fish & shellfish immunology 42 (1), 177-183, 2015
|High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells|
HK Kim, S Lee, Y Kim, J Park, S Min, JW Choi, TP Huang, S Yoon, DR Liu, ...
Nature Biomedical Engineering 4 (1), 111-124, 2020
|SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance|
HK Kim, Y Kim, S Lee, S Min, JY Bae, JW Choi, J Park, D Jung, S Yoon, ...
Science advances 5 (11), eaax9249, 2019
|Prediction of the sequence-specific cleavage activity of Cas9 variants|
N Kim, HK Kim, S Lee, JH Seo, JW Choi, J Park, S Min, S Yoon, SR Cho, ...
Nature Biotechnology 38 (11), 1328-1336, 2020
|Predicting the efficiency of prime editing guide RNAs in human cells|
HK Kim, G Yu, J Park, S Min, S Lee, S Yoon, HH Kim
Nature Biotechnology 39 (2), 198-206, 2021
|Sequence-specific prediction of the efficiencies of adenine and cytosine base editors|
M Song, HK Kim, S Lee, Y Kim, SY Seo, J Park, JW Choi, H Jang, JH Shin, ...
Nature Biotechnology 38 (9), 1037-1043, 2020
|Recording of elapsed time and temporal information about biological events using Cas9|
J Park, JM Lim, I Jung, SJ Heo, J Park, Y Chang, HK Kim, D Jung, JH Yu, ...
Cell 184 (4), 1047-1063. e23, 2021