Author

H. Bright

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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Immunology· 2 Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:host-pathogen & immune response· 2 Approach:machine learning (classical)· 2 Organism:virus· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

A. Greaney· 1 shared A. J. Spencer· 1 shared A. S. Dingens· 1 shared A. Truby· 1 shared B. Case· 1 shared C. D. Bissett· 1 shared C. F. Kaminski· 1 shared C. Gainza· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperImmunology

A. Greaney

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.

Y. Suita, H. Bright, Y. Pu, M. D. Toruner, J. Idehen, N. Tapinos, R. Singh

bioRxiv · Jun 25, 2024 · PreprintCancer Biology

The ChAdOx1 vectored vaccine, AZD2816, induces strong immunogenicity against SARS-CoV-2 Beta (B.1.351) and other variants of concern in preclinical studies.

A. J. Spencer, S. Morris, M. Ulaszewska, C. Powers, R. Kaliath, C. D. Bissett, A. Truby, N. Thakur, J. Newman, E. R. Allen, I. Rudiansyah, C. Lui, W. Dejnirattisai, J. Mongkolsapaya, H. Davies, , T. Lambe

bioRxiv · Jun 8, 2021Immunology

Genetic and structural basis for recognition of SARS-CoV-2 spike protein by a two-antibody cocktail

J. Dong, S. Zost, A. Greaney, T. N. Starr, A. S. Dingens, E. C. Chen, R. Chen, B. Case, R. Sutton, P. Gilchuk, J. Rodriguez, E. Armstrong, C. Gainza, R. Nargi, E. Binshtein, , J. E. Crowe

This paper determines the structures of two antibodies in the AZD7442 cocktail that neutralize SARS-CoV-2 and identifies critical residues for neutralization and viral escape.

bioRxiv · Jan 27, 2021 · PreprintImmunology

Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

R. F. Laine, G. Goodfellow, L. J. Young, J. Travers, D. Carroll, O. Dibben, H. Bright, C. F. Kaminski

The paper combines structured illumination microscopy with machine learning to analyze and classify virus structures efficiently.

bioRxiv · Jul 11, 2018Biophysics