Author

Irene Martin

Public Health Agency of Canada

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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Genomics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 2 Organism:human· 2 Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Amrita BharatiD· 1 shared Anthony P. UnderwoodiD· 1 shared Benjamin TayloriD· 1 shared Brian H. RaphaeliD· 1 shared Corin YeatsiD· 1 shared Daniel GolparianiD· 1 shared David C. AlexanderiD· 1 shared David M. AanenseniD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperGenomics

Amrita BharatORCID

Author profile →

3 papers

Recent·Most cited

Phenotypic diversity and shared genomic determinants among isolates causing a large incidence of disseminated gonococcal infections in Canada

Gursonika Binepal, Emil Jurga, Duncan Carruthers-Lay, Sören Krüger, Sandra I. Zittermann, Jessica Minion, Mathew A. Diggle, David C. Alexander, Irene Martin, Vanessa G Allen, John Parkinson, Scott D. Gray‐Owen

The paper investigates genetic and phenotypic differences between Neisseria gonorrhoeae strains causing disseminated gonococcal infections (DGI) and non-invasive strains in Canada, identifying two porB alleles and other genetic determinants associated with DGI.

mSphere · Jul 20, 2026Peer-reviewedMicrobiology

Rapid identification of microbial pathogens and antimicrobial resistance from bloodstream infections using long-read sequencing

Nicole A. Lerminiaux, Ken Fakharuddin, Heather J. Adam, Amrita Bharat, George R. Golding, Irene Martin, Michael R. Mulvey, Laura F. Mataseje

This paper presents a workflow using long-read sequencing to rapidly identify microbial pathogens and antimicrobial resistance in bloodstream infections, achieving faster results than conventional methods.

Microbial Genomics · Jun 11, 2026Peer-reviewedGenomics

A community-driven resource for genomic epidemiology and antimicrobial resistance prediction of Neisseria gonorrhoeae at Pathogenwatch

Leonor Sánchez-Busó, Corin Yeats, Benjamin Taylor, Richard Goater, Anthony P. Underwood, Khalil Abudahab, Silvia Argimón, Kevin C. Ma, Tatum D. Mortimer, Daniel Golparian, Michelle J. Cole, Yonatan H. Grad, Irene Martin, Brian H. Raphael, William M. Shafer, , David M. Aanensen

This paper introduces a community-driven genomic resource for Neisseria gonorrhoeae that predicts antimicrobial resistance and supports public health surveillance.

bioRxiv · Jul 3, 2020 · PreprintGenomics