Author

A. Devault

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

M. S. Beaudry· 2 shared T. Kieran· 2 shared A. Oladeine· 1 shared A. Perry· 1 shared A. Sullivan· 1 shared B. Brunelle· 1 shared B. Gao· 1 shared D. E. Soltis· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

M. S. Beaudry

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Escaping the Fate of Sisyphus: Assessing Resistome Hybridization Baits for Antimicrobial Resistance Gene Capture

M. S. Beaudry, J. C. Thomas, R. Baptista, A. Sullivan, W. Norfolk, A. Devault, J. Enk, T. Kieran, O. Rhodes, A. Perry, L. Rose, N. Bayona-Vasquez, A. Oladeine, E. K. Lipp, S. Sanchez, T. Glenn

The paper evaluates hybridization capture baits for antimicrobial resistance gene detection, showing their effectiveness and providing guidelines for updating bait sets as new resistance genes are discovered.

bioRxiv · Jul 20, 2021Microbiology

Improved microbial community characterization of 16S rRNA via metagenome hybridization capture enrichment

M. S. Beaudry, J. Wang, T. Kieran, J. Thomas, N. J. Bayona-Vasquez, B. Gao, A. Devault, B. Brunelle, K. Lu, J.-S. Wang, O. E. Rhodes, T. C. Glenn

The paper develops 16S rRNA sequence capture baits to improve microbial community characterization by balancing the advantages of amplicon and shotgun metagenomic methods.

bioRxiv · Dec 18, 2020Microbiology

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-medoids Clustering

M. Johnson, L. Pokorny, S. Dodsworth, L. R. Botigue, R. S. Cowan, A. Devault, W. L. Eiserhardt, N. Epitawalage, F. Forest, J. T. Kim, J. H. Leebens-Mack, I. J. Leitch, O. Maurin, D. E. Soltis, P. S. Soltis, , N. Wickett

The paper designs a universal probe set for targeted sequencing of 353 nuclear genes across flowering plants using k-medoids clustering, achieving high sequence recovery across diverse angiosperm lineages.

bioRxiv · Jul 4, 2018Evolutionary Biology