Author

C. Cooksley

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:clustering· 2 Assay:metagenomics· 2 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. J. Psaltis· 3 shared P.-J. Wormald· 3 shared S. Vreugde· 3 shared A. Bassiouni· 2 shared A. Shiffer· 2 shared A. U. Luong· 2 shared B. Bleier· 2 shared C. Callejas· 2 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

A. J. Psaltis

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Author profile →

3 papers

Recent·Most cited

The Intra-Host Evolutionary Landscape And Pathoadaptation Of Persistent Staphylococcus aureus In Chronic Rhinosinusitis

G. Houtak, G. Bouras, R. Nepal, G. Shaghayegh, C. Cooksley, A. J. Psaltis, P.-J. Wormald, S. Vreugde

This study examines S. aureus persistence and pathoadaptation in CRS patients, finding 41% of isolates are persisters with increased biofilm biomass and plasmid copy numbers.

bioRxiv · Mar 28, 2023Microbiology

Microbiotyping the sinonasal microbiome

A. Bassiouni, S. Paramasivan, A. Shiffer, M. R. Dillon, E. K. Cope, C. Cooksley, M. Ramezanpour, S. Moraitis, M. J. Ali, B. Bleier, C. Callejas, M. E. Cornet, R. G. Douglas, D. Dutra, C. Georgalas, , A. J. Psaltis

This study identifies three sinonasal microbiotypes using unsupervised machine learning on microbiome data and finds geographic differences in their distribution.

bioRxiv · Mar 31, 2019Microbiology

The international sinonasal microbiome study (ISMS): a multi-centre, multi-national collaboration characterising the microbial ecology of the sinonasal cavity

S. Paramasivan, A. Bassiouni, A. Shiffer, M. R. Dillon, E. K. Cope, C. Cooksley, M. Ramezanpour, S. Moraitis, M. J. Ali, B. Bleier, C. Callejas, M. E. Cornet, R. G. Douglas, D. Dutra, C. Georgalas, , A. J. Psaltis

The paper characterizes the sinonasal microbiome globally using 16S rRNA sequencing, identifying a core microbiome and geographical variations in microbial diversity and composition.

bioRxiv · Mar 31, 2019 · PreprintMicrobiology