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Jared G Galloway

Showing results (1-10 of 19) with videos related to

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Molecular Biology and Evolution|February 21, 2020
Predicting the Landscape of Recombination Using Deep LearningJeffrey R Adrion, Jared G Galloway, Andrew D Kern
Biorxiv : the Preprint Server for Biology|August 14, 2023
Jointly modeling deep mutational scans identifies shifted mutational effects among SARS-CoV-2 spike homologsHugh K Haddox, Jared G Galloway, Bernadeta Dadonaite, et al.
Genome Biology and Evolution|June 2, 2023
Automatic Differentiation is no Panacea for Phylogenetic Gradient ComputationMathieu Fourment, Christiaan J Swanepoel, Jared G Galloway, et al.
Biorxiv : the Preprint Server for Biology|October 13, 2021
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein after infection and/or vaccinationMeghan E Garrett, Jared G Galloway, Caitlin Wolf, et al.
Elife|January 24, 2022
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infectionMeghan E Garrett, Jared G Galloway, Caitlin Wolf, et al.
Elife|April 28, 2026
Inference of germinal center evolutionary dynamics via simulation-based deep learningDuncan K Ralph, Athanasios G Bakis, Jared G Galloway, et al.
Bioinformatics (Oxford, England)|September 23, 2023
phippery: a software suite for PhIP-Seq data analysisJared G Galloway, Kevin Sung, Samuel S Minot, et al.
Biorxiv : the Preprint Server for Biology|February 19, 2024
Deep mutational scanning reveals functional constraints and antigenic variability of Lassa virus glycoprotein complexCaleb R Carr, Katharine H D Crawford, Michael Murphy, et al.
Immunity|July 16, 2024
Deep mutational scanning reveals functional constraints and antibody-escape potential of Lassa virus glycoprotein complexCaleb R Carr, Katharine H D Crawford, Michael Murphy, et al.
Biorxiv : the Preprint Server for Biology|January 20, 2025
The mutation rate of SARS-CoV-2 is highly variable between sites and is influenced by sequence context, genomic region, and RNA structureHugh K Haddox, Georg Angehrn, Luca Sesta, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Molecular Biology and Evolution|February 21, 2020
Predicting the Landscape of Recombination Using Deep LearningJeffrey R Adrion, Jared G Galloway, Andrew D Kern
Biorxiv : the Preprint Server for Biology|August 14, 2023
Jointly modeling deep mutational scans identifies shifted mutational effects among SARS-CoV-2 spike homologsHugh K Haddox, Jared G Galloway, Bernadeta Dadonaite, et al.
Genome Biology and Evolution|June 2, 2023
Automatic Differentiation is no Panacea for Phylogenetic Gradient ComputationMathieu Fourment, Christiaan J Swanepoel, Jared G Galloway, et al.
Biorxiv : the Preprint Server for Biology|October 13, 2021
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein after infection and/or vaccinationMeghan E Garrett, Jared G Galloway, Caitlin Wolf, et al.
Elife|January 24, 2022
Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infectionMeghan E Garrett, Jared G Galloway, Caitlin Wolf, et al.
Elife|April 28, 2026
Inference of germinal center evolutionary dynamics via simulation-based deep learningDuncan K Ralph, Athanasios G Bakis, Jared G Galloway, et al.
Bioinformatics (Oxford, England)|September 23, 2023
phippery: a software suite for PhIP-Seq data analysisJared G Galloway, Kevin Sung, Samuel S Minot, et al.
Biorxiv : the Preprint Server for Biology|February 19, 2024
Deep mutational scanning reveals functional constraints and antigenic variability of Lassa virus glycoprotein complexCaleb R Carr, Katharine H D Crawford, Michael Murphy, et al.
Immunity|July 16, 2024
Deep mutational scanning reveals functional constraints and antibody-escape potential of Lassa virus glycoprotein complexCaleb R Carr, Katharine H D Crawford, Michael Murphy, et al.
Biorxiv : the Preprint Server for Biology|January 20, 2025
The mutation rate of SARS-CoV-2 is highly variable between sites and is influenced by sequence context, genomic region, and RNA structureHugh K Haddox, Georg Angehrn, Luca Sesta, et al.
Pageof 2