Category / Journal
DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks
Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon, IEEE Transactions on Computational Biology and Bioinformatics, in press.
preprint
Sequence-specific prediction of the efficiencies of adenine and cytosine base editors
Myungjae Song, Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Sang-Yeon Seo, Jinman Park, Nahye Kim, Jae Woo Choi, Hyewon Jang, Jeong Hong Shin, Seonwoo Min, Jhejiu Quan, Jihun Kim, Hoon-Chul Kang, Sungroh Yoon, Hyongbum Henry Kim, Nature Biotechnology, https://doi.org/10.1038/s41587-020-0573-5, July 2020.
paper link
Prediction of the sequence-specific cleavage activity of Cas9 variants
Nahye Kim, Hui Kwon Kim, Sungtae Lee, Jung Hwa Seo, Jae Woo Choi, Jinman Park, Seonwoo Min, Sungroh Yoon, Sung-Rae Cho, Hyongbum Henry Kim, Nature Biotechnology, https://doi.org/10.1038/s41587-020-0537-9, June 2020.
paper link
High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells
Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Jinman Park, Seonwoo Min, Jae Woo Choi, Tony P Huang, Sungroh Yoon, David R Liu, Hyongbum Henry Kim, Nature Biomedical Engineering, vol. 4, pp. 111-124, January 2020.
paper link
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim, Science Advances, Vol. 5, no. 11, p. eaax9249, November 2019.
paper link