Author
Timothée Poisot
Université de MontréalORCID 0000-0002-0735-5184Unclaimed ORCID profile · follow to get notified of new preprints
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Biology Disciplines
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2014-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 9 mutual co-author links6 papers
Recent·Most cited
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
Deciphering the dynamics of Cyanobacteria-Phage in a natural lake: Insights from a decade-long investigation
Kiri Stern, Jin Vincent, Zofia Ecaterina Taranu, Nathalie Y. Fortin, Alexis Martel, Andrea Robbe, Romane Thaize, Mathieu Castelli, Stephen J. Beckett, Timothée Poisot, Angus G. J. Buckling, B. Jesse Shapiro, Nicolas Tromas
This study investigates phage-cyanobacteria interactions in Lake Champlain over a decade, finding that phages share environmental niches with bacteria but exhibit distinct dynamics and co-variation patterns.
bioRxiv · Feb 19, 2025 · PreprintEcology
Hosts, parasites, and their interactions respond to different climatic variables
Timothée Poisot, Cynthia Guéveneux-Julien, Marie-Josée Fortin, Dominique Gravel, Pierre Legendre
The paper shows that species interactions vary more with climate than individual species do, highlighting the importance of considering interactions in community studies.
bioRxiv · Feb 14, 2017 · PreprintEcology
Bringing Elton and Grinnell together: a quantitative framework to represent the biogeography of ecological interaction networks
Dominique Gravel, Benjamin Baiser, Jennifer A. Dunne, Jens-Peter Kopelke, Neo D. Martinez, Tommi Nyman, Timothée Poisot, Daniel B. Stouffer, Jason M. Tylianakis, Spencer A. Wood, Tomas Rosling
The paper develops a quantitative framework to model the biogeography of ecological interaction networks, finding that environmental factors influence species co-occurrence but not interactions, which are stochastic.
bioRxiv · May 26, 2016 · PreprintEcology
Beyond species: why ecological interaction networks vary through space and time
Timothée Poisot, Daniel B Stouffer, Dominique Gravel
The paper argues that current species interaction network models are inadequate and proposes considering intra-specific variability to improve predictive understanding of ecological interactions.
Oikos · Nov 4, 2014Peer-reviewedEcology