Author

Sally R. Partridge

The University of SydneyORCID 0000-0002-0666-8330Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Organism:bacteria (other)· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ruiting LaniD· 2 shared Sandeep KauriD· 2 shared Aasmund FostervoldiD· 1 shared Adam W. J. JenneyiD· 1 shared Adane MihretiD· 1 shared Adrian EgliiD· 1 shared Adriano Souza Santos Monteiro· 1 shared Alessandra CornacchiaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

Ruiting LanORCID

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Author profile →

3 papers

Recent·Most cited

Ciprofloxacin resistance in Klebsiella pneumoniae: phenotype prediction from genotype and global distribution of resistance determinants

Kara K. Tsang, Iana Amke, David M. Aanensen, Jabir A. Abdulahi, Alexander Michael Aiken, Michael A. Bachman, Stephen G. Baker, Katherine Barry, Gherard Batisti Biffignandi, Emília Maria Medeiros de Andrade Belitardo, Iván Bloise, Ilhem Boutiba-Ben Boubaker, Chanté Fortuin, Sylvain Brisse, Susana G. Campino, , Carla Rodrigues

The paper develops a rules-based classifier to predict ciprofloxacin resistance in Klebsiella pneumoniae from genotype data and demonstrates its global distribution association with quinolone consumption.

Genome Medicine · Oct 27, 2026Peer-reviewedGenomics

A dissection of the genomic antimicrobial resistance epidemiology of Salmonella Typhimurium

Sandeep Kaur, Sally R. Partridge, Vitali Sintchenko, Ruiting Lan

The paper analyzes antimicrobial resistance in Salmonella Typhimurium using genomic data to identify resistant strains and their geographic and host associations.

Frontiers in Microbiology · Nov 20, 2025Peer-reviewedMicrobiology

Characterising Staphylococcus aureus genomic epidemiology with Multilevel Genome Typing.

Michael Payne, Sally R. Partridge, Sandeep Kaur, Genevieve L. McKew, Ruiting Lan

This study develops a multilevel genome typing (MGT) scheme for Staphylococcus aureus to characterize genomic epidemiology at various scales using 50,481 genomes.

mSystems · Oct 2, 2025Peer-reviewedMicrobiology