Author

Marc‐André Lemay

Université LavalORCID 0000-0003-2484-8447Unclaimed 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 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:multiple species· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Francois J. BelzileiD· 2 shared Davoud TorkamanehiD· 1 shared Jérémie Hamel· 1 shared Jonas A. SibbeseniD· 1 shared Maxime de RonneiD· 1 shared Richard R. BélangeriD· 1 shared Roger C. LévesqueiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersGenomics

Francois J. BelzileORCID

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2 papers

Recent·Most cited

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

𝕏 PostBluesky

GenomicsBMC BiologyPeer-reviewedFeb 23, 2022

Combined use of Oxford Nanopore and Illumina sequencing yields insights into soybean structural variation biology

Marc‐André Lemay, Jonas A. Sibbesen, Davoud Torkamaneh…·Francois J. Belzile

The paper combines Oxford Nanopore and Illumina sequencing to analyze structural variation in soybean cultivars, showing that long-read data can be effectively used with short-read data for population-scale SV analysis.

23 citations

plant (other)whole-genome sequencing

𝕏 PostBluesky