Author
J. G. Galloway
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
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2019-2024 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 21 mutual co-author links6 papers
Recent·Most cited
Elevated binding and functional antibody responses to SARS-CoV-2 in infants versus mothers
C. I. Stoddard, K. Sung, Z. A. Yaffe, H. Weight, G. Beaudoin-Bussieres, J. G. Galloway, S. Gantt, J. Adhiambo, E. R. Begnel, E. Ojee, J. Slyker, D. Wamalwa, J. Kinuthia, A. Finzi, F. A. Matsen, , J. Overbaugh
The paper compares SARS-CoV-2 antibody responses between infants and mothers, finding higher binding and functional antibody levels in infants, particularly in the fusion peptide region.
bioRxiv · Feb 6, 2023Immunology
Macaque-human differences in SARS-CoV-2 Spike antibody response elicited by vaccination or infection
A. Willcox, K. Sung, M. E. Garrett, J. G. Galloway, M. A. OConnor, J. H. Erasmus, J. K. Logue, D. W. Hawman, H. Y. Chu, K. J. Hasenkrug, D. H. Fuller, F. A. Matsen, J. Overbaugh
This study compares SARS-CoV-2 Spike antibody responses between macaques and humans after vaccination or infection, identifying shared and distinct epitope recognition patterns and escape pathways.
bioRxiv · Dec 1, 2021 · PreprintImmunology
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein after infection and/or vaccination
M. E. Garrett, J. G. Galloway, C. Wolf, J. K. Logue, N. Franko, H. Y. Chu, F. Matsen, J. M. Overbaugh
This study characterizes antibody responses to SARS-CoV-2 Spike protein after infection and vaccination, identifying epitope binding patterns and escape mutation profiles.
bioRxiv · Oct 5, 2021Immunology
A community-maintained standard library of population genetic models
J. R. Adrion, C. B. Cole, N. Dukler, J. G. Galloway, A. L. Gladstein, G. Gower, C. C. Kyriazis, A. P. Ragsdale, G. Tsambos, F. Baumdicker, J. Carlson, R. A. Cartwright, A. Durvasula, I. Gronau, B. Y. Kim, , A. D. Kern
The paper introduces stdpopsim, a community-maintained library for population genetic models, to standardize simulations and facilitate benchmarking of inference tools.
bioRxiv · Dec 20, 2019Evolutionary Biology
Inferring the landscape of recombination using recurrent neural networks
J. R. Adrion, J. G. Galloway, A. D. Kern
This paper introduces ReLERNN, a deep learning method for estimating genome-wide recombination maps with high accuracy, and applies it to Drosophila melanogaster populations.
bioRxiv · Dec 5, 2019 · PreprintEvolutionary Biology