Hyunjin Shim
Hyunjin Shim
Bestätigte E-Mail-Adresse bei berkeley.edu
Zitiert von
Zitiert von
Influenza virus drug resistance: a time-sampled population genetics perspective
M Foll, YP Poh, N Renzette, A Ferrer-Admetlla, C Bank, H Shim, ...
PLoS Genet 10 (2), e1004185, 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
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
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
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
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
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
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
Feature learning of virus genome evolution with the nucleotide skip-gram neural network
H Shim
Evolutionary Bioinformatics 15, 1176934318821072, 2019
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
Diverse ATPase proteins in mobilomes constitute a large potential sink for prokaryotic host ATP
H Shim, H Shivram, S Lei, JA Doudna, JF Banfield
arXiv preprint arXiv:2104.00817, 2021
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
Likelihood-free Inference of Population Genetic Parameters from Time-Sampled Genetic Data
H Shim
EPFL, 2018
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