Author

Benjamin Kaza

Cornell UniversityORCID 0000-0002-7765-2256Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Amandine GambleiD· 3 shared Alivia C. IsheeiD· 1 shared Amanda KuepferiD· 1 shared Ana I. Moraga-Quintanilla· 1 shared Andrew J. Stanworth· 1 shared Andrew RambautiD· 1 shared Ángela Vázquez-CalvoiD· 1 shared Anne GüntheriD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersMicrobiology

Amandine GambleORCID

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3 papers

Recent·Most cited

Genomes of Betacoronavirus gravedinis from white-footed mice in New York City and a phylogenetically weighted model of its probable distribution in North America

Benjamin Kaza, Michael Catchen, Giulia de Gennaro, Jordan D. Zehr, Marie V. Lilly, Laura Dudley Plimpton, Maria A. Diuk‐Wasser, Chloe M. Murrell, Alivia C. Ishee, Laura B. Goodman, gary whittaker, Amandine Gamble, Ximena A. Olarte‐Castillo

The paper sequences Betacoronavirus gravedinis from white-footed mice in NYC, identifies positively selected sites in the spike protein, and predicts its geographic distribution using phylogenetic and biodiversity data.

bioRxiv · Jul 1, 2026 · PreprintMicrobiology

Dispersal, adaptation and persistence of H5N1 in the sub-Antarctic and Antarctica

Augustin Clessin, Marius Brusselmans, Samuel Leandro Hong, J Tornos, Mathilde Lejeune, Yucai Shao, François‐Xavier Briand, Célia Abolnik, Benjamin Kaza, Marc A. Suchard, Begoña Aguado, Antonio Alcamı́, Christophe Barbraud, Martin Beer, Ashley Bennison, , Guy Baele

This study tracks the spread and evolution of H5N1 in the sub-Antarctic and Antarctica, revealing long-distance dispersal and mammalian-adaptive mutations.

bioRxiv · Mar 31, 2026 · PreprintMicrobiology

Machine Learning Enables Viral Genome-Agnostic Classification of RNA Virus Infections from Host Transcriptomes

Benjamin Kaza, Amandine Gamble, Stephanie N. Seifert, Timothée Poisot

The paper uses machine learning to classify RNA virus infections from host transcriptomes without relying on viral sequences, showing accurate classification across different viruses.

bioRxiv · Sep 11, 2025 · PreprintMicrobiology