Author

Frédéric Barraquand

Centre National de la Recherche ScientifiqueORCID 0000-0002-4759-0269Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Frédéric Barraquand1 paper

Biology Disciplines

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Evolutionary Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Juliette ArchambeauiD· 2 shared Marina de MigueliD· 2 shared Marta Benito GarzóniD· 2 shared Santiago C. González‐MartíneziD· 2 shared Alexandre ChangenetiD· 1 shared Annika PerryiD· 1 shared Christophe PlomioniD· 1 shared Francesca BagnoliiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersEvolutionary Biology

Juliette ArchambeauORCID

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2 papers

Recent·Most cited

Evolutionary BiologyThe American NaturalistPeer-reviewedOct 9, 2025

Evaluating genomic offset predictions in a forest tree with high population genetic structure

Juliette Archambeau, Marta Benito Garzón, Marina de Miguel…·Santiago C. González‐Martínez

This study evaluates genomic offset predictions in maritime pine using multiple methods and data sources, finding strong associations with mortality but not height.

17 citationstop 2%

plant (other)DNA methylation

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GeneticsThe American NaturalistPeer-reviewedApr 29, 2022

Combining climatic and genomic data improves range-wide tree height growth prediction in a forest tree

Juliette Archambeau, Marta Benito Garzón, Frédéric Barraquand…·Santiago C. González‐Martínez

The paper combines climatic and genomic data to improve predictions of tree height growth across a wide geographic range using maritime pine provenances.

20 citations

statistical model

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