Author

Michelle S. Toleman

Cambridge University Hospitals NHS Foundation TrustORCID 0000-0002-4656-3066Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Michelle S. Toleman1 paper

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Beth BlaneiD· 2 shared Ewan M. HarrisoniD· 2 shared Sharon J. PeacockiD· 2 shared Dinesh AggarwaliD· 1 shared Dorota M. JamrozyiD· 1 shared Francesc ColliD· 1 shared Jacqueline ToussaintiD· 1 shared Joan A. GeogheganiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Beth BlaneORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BaGPipe: an automated, reproducible, and flexible pipeline for bacterial genome-wide association studies

Kuangyi Wei, Beth Blane, Jacqueline Toussaint, Sandra Reuter, Michelle S. Toleman, M. Estée Török, Sharon J. Peacock, Ewan M. Harrison, Dinesh Aggarwal, William Roberts-Sengier

BaGPipe automates bacterial GWAS workflows, improving efficiency and reproducibility by integrating preprocessing, analysis, and visualization in a scalable pipeline.

BMC Microbiology · Mar 27, 2026Peer-reviewedBioinformatics

The mutational landscape of Staphylococcus aureus during colonisation

Francesc Coll, Beth Blane, Katie Bellis, Marta Matuszewska, Toska Wonfor, Dorota M. Jamrozy, Michelle S. Toleman, Joan A. Geoghegan, Julian Parkhill, Ruth C. Massey, Sharon J. Peacock, Ewan M. Harrison

The paper analyzes the mutational landscape of Staphylococcus aureus during colonization, identifying adaptive mutations in metabolic pathways and antibiotic targets.

Nature Communications · Jan 13, 2025Peer-reviewedGenomics