| Influenza virus drug resistance: a time-sampled population genetics perspective M Foll, YP Poh, N Renzette, A Ferrer-Admetlla, C Bank, H Shim, ... PLoS genetics 10 (2), e1004185, 2014 | 139 | 2014 |
| WFABC: a W right–F isher ABC‐based approach for inferring effective population sizes and selection coefficients from time‐sampled data M Foll, H Shim, JD Jensen Molecular ecology resources 15 (1), 87-98, 2015 | 119 | 2015 |
| The NIH somatic cell genome editing program K Saha, EJ Sontheimer, PJ Brooks, MR Dwinell, CA Gersbach, DR Liu, ... Nature 592 (7853), 195-204, 2021 | 82 | 2021 |
| On the importance of skewed offspring distributions and background selection in virus population genetics KK Irwin, S Laurent, S Matuszewski, S Vuilleumier, L Ormond, H Shim, ... Heredity 117 (6), 393-399, 2016 | 49 | 2016 |
| The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases SIB Swiss Institute of Bioinformatics Members Nucleic acids research 44 (D1), D27-D37, 2016 | 48 | 2016 |
| An experimental evaluation of drug‐induced mutational meltdown as an antiviral treatment strategy C Bank, N Renzette, P Liu, S Matuszewski, H Shim, M Foll, DNA Bolon, ... Evolution 70 (11), 2470-2484, 2016 | 39 | 2016 |
| Resistance of Echovirus 11 to ClO2 Is Associated with Enhanced Host Receptor Use, Altered Entry Routes, and High Fitness Q Zhong, A Carratalà, H Shim, V Bachmann, JD Jensen, T Kohn Environmental Science & Technology 51 (18), 10746-10755, 2017 | 30 | 2017 |
| Detecting and quantifying changing selection intensities from time-sampled polymorphism data H Shim, S Laurent, S Matuszewski, M Foll, JD Jensen G3: Genes, Genomes, Genetics 6 (4), 893-904, 2016 | 22 | 2016 |
| Experimental adaptation of human echovirus 11 to ultraviolet radiation leads to resistance to disinfection and ribavirin A Carratala, H Shim, Q Zhong, V Bachmann, JD Jensen, T Kohn Virus evolution 3 (2), vex035, 2017 | 21 | 2017 |
| Feature learning of virus genome evolution with the nucleotide skip-gram neural network H Shim Evolutionary Bioinformatics 15, 1176934318821072, 2019 | 11 | 2019 |
| Rethinking protein drug design with highly accurate structure prediction of anti-CRISPR proteins H Park, Y Park, J Vankerschaver, A Van Messem, W De Neve, H Shim Pharmaceuticals 15 (3), 310, 2022 | 10 | 2022 |
| Diverse ATPase proteins in mobilomes constitute a large potential sink for prokaryotic host ATP H Shim, H Shivram, S Lei, JA Doudna, JF Banfield Frontiers in Microbiology 12 (691847), 2021 | 8 | 2021 |
| Three innovations of next-generation antibiotics: evolvability, specificity, and non-immunogenicity H Shim Antibiotics 12 (2), 204, 2023 | 5 | 2023 |
| In silico optimization of RNA–protein interactions for CRISPR-Cas13-based antimicrobials H Park, Y Park, U Berani, E Bang, J Vankerschaver, A Van Messem, ... Biology Direct 17 (1), 27, 2022 | 4 | 2022 |
| Investigating the genomic background of CRISPR-Cas genomes for CRISPR-based antimicrobials H Shim Evolutionary Bioinformatics 18, 11769343221103887, 2022 | 4 | 2022 |
| CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins H Park, J Won, Y Park, ET Anzaku, J Vankerschaver, A Van Messem, ... BMC bioinformatics 24 (1), 167, 2023 | | 2023 |
| Sequencing, fast and slow: profiling microbiomes in human samples with nanopore sequencing Y Park, J Lee, H Shim bioRxiv, 2023.05. 18.541257, 2023 | | 2023 |
| Futuristic methods in virus genome evolution using the Third-Generation DNA sequencing and artificial neural networks H Shim Global Virology III: Virology in the 21st Century, 485-513, 2019 | | 2019 |
| Likelihood-free Inference of Population Genetic Parameters from Time-Sampled Genetic Data H Shim EPFL, 2018 | | 2018 |
