Author

Bernat Bramon Mora

Centre Hospitalier Universitaire VaudoisORCID 0000-0003-4735-567XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

Daniel B. StoufferiD· 2 shared Alyssa R. CirtwilliD· 1 shared Anne M. McLeodiD· 1 shared Cloé BrennaiD· 1 shared Constantinos PetrovasiD· 1 shared Giuseppe PantaleoiD· 1 shared Hao Ran LaiiD· 1 shared Ian A. DickieiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersEcology

Daniel B. StoufferORCID

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3 papers

Recent·Most cited

EcologybioRxivPreprintJan 14, 2026

Partner fidelity with root symbionts impacts plant performance in the face of changing above- and belowground community context

Anne M. McLeod, Daniel B. Stouffer, Jason M. Tylianakis…·Jonathan D. Tonkin

The paper investigates how plant fidelity to root symbionts affects performance under changing community contexts, finding that fidelity to antagonists is stronger and mutualist fidelity impacts performance differently based on plant traits and herbivore presence.

DOI 10.64898/2026.01.13.699266

plant (other)experimental assay

𝕏 PostBluesky

ImmunologyJCI InsightPeer-reviewedSep 9, 2025

Follicular Bcl6 reactivity is associated with a unique immune landscape and spatial transcriptome in COVID-19

Cloé Brenna, Bernat Bramon Mora, Kalliopi Ioannidou…·Constantinos Petrovas

The paper analyzes lung-draining lymph nodes from COVID-19 autopsies to identify distinct follicular Bcl6 reactivity subgroups and their associated immune and spatial transcriptomic profiles.

2 citations

humanspatial transcriptomics

𝕏 PostBluesky

EcologybioRxivPreprintJul 7, 2018

pymfinder: a tool for the motif analysis of binary and quantitative complex networks

Bernat Bramon Mora, Alyssa R. Cirtwill, Daniel B. Stouffer

pymfinder analyzes network motifs in directed, undirected, unipartite, or bipartite networks, enabling node- and link-specific motif profile computation and weighted motif analysis.

DOI 10.1101/364703

deep learningstatistical model

𝕏 PostBluesky