Author

C. R. Laing

Every paper listing this name carries an ORCID.

Identified by ORCID

C. R. LaingiD1 paper · Canadian Food Inspection Agency

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:phylogenetics / evolution· 1 Organism:virus· 1

Frequent Co-Authors

Anil NichaniiD· 1 shared Carson Kai-Sang LeungiD· 1 shared Catherine E. Yoshida· 1 shared Daniel KeiniD· 1 shared Darian HoleiD· 1 shared David R. LapeniD· 1 shared David Son· 1 shared Eduardo Napoleon TaboadaiD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Anil NichaniORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MicrobiologyeLifePeer-reviewedJan 17, 2025

Persistent cross-species transmission systems dominate Shiga toxin-producing Escherichia coli O157:H7 epidemiology in a high incidence region: a genomic epidemiology study

Gillian A.M. Tarr, Linda Chui, Kim Stanford…·Tim Angus McAllister

This study identifies persistent cross-species transmission systems between cattle and humans as a major driver of E. coli O157:H7 epidemiology in Alberta, with a shift toward more virulent stx2a-only strains.

1 citation

E. coliwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedJan 1, 2025

WaveSeekerNet: Accurate Prediction of Influenza A Virus Subtypes and Host Source Using Attention-Based Deep Learning

Huu-Tai Nguyen, Josip Rudar, Nathaniel Lesperance…·Oliver Lung

WaveSeekerNet predicts IAV subtypes and host source using attention-based deep learning, outperforming existing models in accuracy and efficiency.

3 citations

viruswhole-genome sequencing

𝕏 PostBluesky

BioinformaticsMicrobial GenomicsPeer-reviewedSep 9, 2021

Rapid and accurate SNP genotyping of clonal bacterial pathogens with BioHansel

Geneviève Labbé, Peter Kruczkiewicz, James A. Robertson…·John H. E. Nash

BioHansel rapidly and accurately genotypes bacterial pathogens from WGS data using canonical SNPs, enabling efficient surveillance and outbreak response.

19 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky