Author

Richard R. Bélanger

Université LavalORCID 0000-0001-8549-975XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:multiple species· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Francois J. BelzileiD· 2 shared Adèle Deshaies· 1 shared Caroline Labbé· 1 shared Marc‐André LemayiD· 1 shared Maxime de RonneiD· 1 shared Vanessa Tremblay· 1 shared Yanick AsseliniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersPlant Biology

Francois J. BelzileORCID

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2 papers

Recent·Most cited

Plant BiologyMolecular Plant PathologyPeer-reviewedAug 1, 2026

A rare recombination allows the redefinition of a major avirulence gene in the Phytophthora sojae genome

Yanick Asselin, Adèle Deshaies, Caroline Labbé…·Richard R. Bélanger

The study identifies a rare recombination event in Phytophthora sojae that redefines the avirulence gene recognized by Rps6, improving pathotyping and disease resistance strategies.

DOI 10.1111/mpp.70326

plant (other)whole-genome sequencing

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GenomicsThe Plant GenomePeer-reviewedAug 18, 2023

k-mer-based GWAS enhances the discovery of causal variants and candidate genes in soybean

Marc‐André Lemay, Maxime de Ronne, Richard R. Bélanger, Francois J. Belzile

This study compares k-mer-based GWAS with conventional SNP/indel-based GWAS in soybean, finding k-mer-based methods more effective at identifying causal variants and candidate genes for specific traits.

17 citations

multiple speciesGWAS summary statistics

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