Author

T. Rowe

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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Evolutionary Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

D. E. Wentworth· 2 shared A. C. Sharp· 1 shared A. Fletcher· 1 shared B. Ermetal· 1 shared E. Sherratt· 1 shared G. A. Kirchenbaum· 1 shared G. A. Sautto· 1 shared G. Jasso· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMicrobiology

D. E. Wentworth

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Delay of innate immune responses following influenza B virus infection affects the development of robust antibody response in ferrets

T. Rowe, A. Fletcher, R. A. Richardson, M. Lange, G. A. Sautto, G. A. Kirchenbaum, Y. Hatta, G. Jasso, D. E. Wentworth, T. M. Ross

This study shows that delayed innate immune responses to influenza B virus in ferrets lead to weaker antibody responses compared to influenza A virus.

bioRxiv · Feb 19, 2024Microbiology

Global elongation and high shape flexibility as an evolutionary hypothesis of accommodating mammalian brains into skulls

V. Weisbecker, T. Rowe, S. Wroe, T. E. Macrini, K. L. S. Garland, K. J. Travouillon, K. Black, M. Archer, S. J. Hand, J. Berlin, R. M. D. Beck, S. Ladeveze, A. C. Sharp, K. Mardon, E. Sherratt

The paper analyzes 3D cranial endocasts of marsupials to show brain shape variation is more flexible and less tied to function than previously thought.

bioRxiv · Dec 6, 2020Evolutionary Biology

Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution

J. Huddleston, J. R. Barnes, T. Rowe, R. Kondor, D. E. Wentworth, L. Whittaker, B. Ermetal, R. S. Daniels, J. W. McCauley, S. Fujisaki, K. Nakamura, N. Kishida, S. Watanabe, H. Hasegawa, I. Barr, , T. Bedford

This study develops a forecasting framework for influenza A/H3N2 evolution by integrating phenotypic antigenic drift data with sequence-based fitness estimates, showing improved long-term predictions.

bioRxiv · Jun 12, 2020Evolutionary Biology