Author

S. R. Harris

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 5

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:whole-genome sequencing· 5 Organism:human· 3 Approach:statistical model· 3 Organism:bacteria (other)· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

L. Sanchez-Buso· 4 shared A. L. Hicks· 2 shared D. Golparian· 2 shared J. Parkhill· 2 shared M. Unemo· 2 shared Y. H. Grad· 2 shared A. Asante-Poku· 1 shared A. Baddoo· 1 shared

Activity by Year

2018-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 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

4 shared papersMicrobiology

L. Sanchez-Buso

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Increased antibiotic susceptibility in Neisseria gonorrhoeae through adaptation to the cervical environment

K. C. Ma, T. D. Mortimer, A. L. Hicks, N. E. Wheeler, L. Sanchez-Buso, D. Golparian, G. Taiaroa, D. H. Rubin, Y. Wang, D. A. Williamson, M. Unemo, S. R. Harris, Y. H. Grad

This study identifies loss-of-function mutations in efflux pumps as a mechanism for increased antibiotic susceptibility in Neisseria gonorrhoeae cervical isolates.

Nature Communications · Aug 17, 2020Peer-reviewedMicrobiology

Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data

A. L. Hicks, N. Wheeler, L. Sanchez-Buso, J. L. Rakeman, S. R. Harris, Y. H. Grad

This study evaluates factors affecting machine learning models' performance in predicting antibiotic resistance from whole genome sequencing data across multiple bacterial species.

PLOS Computational Biology · Sep 3, 2019Peer-reviewedMicrobiology

Genetic variation regulates the activation and specificity of Restriction-Modification systems in Neisseria gonorrhoeae

L. Sanchez-Buso, D. Golparian, J. Parkhill, M. Unemo, S. R. Harris

This study examines genetic variation in Restriction-Modification systems across 25 Neisseria gonorrhoeae strains, revealing differences in RMS activity and methylation targets.

bioRxiv · May 7, 2019Microbiology

Genetic variation associated with infection and the environment in the accidental pathogen Burkholderia pseudomallei

C. Chewapreecha, A. E. Mather, S. R. Harris, M. Hunt, M. Holden, C. Chaichana, V. Wuthiekanun, G. Dougan, N. Day, D. Limmathurotsakul, J. Pakhill, S. Peacock

This study identifies genetic determinants of environmental and human adaptation in Burkholderia pseudomallei using genome-wide association studies across clinical and environmental isolates from Thailand and Australia.

bioRxiv · Feb 2, 2019Microbiology

Molecular epidemiology and whole genome sequencing analysis of clinical Mycobacterium bovis from Ghana

I. D. Otchere, A. J. van Tonder, A. Asante-Poku, L. Sanchez-Buso, M. Coscolla, S. Osei-Wusu, P. Asare, S. Y. Aboagye, S. A. Ekuban, A. I. Yahayah, A. Forson, A. Baddoo, C. Laryea, J. Parkhill, S. R. Harris, , D. Yeboah-Manu

This study analyzes Mycobacterium bovis isolates from Ghana using whole-genome sequencing to identify risk factors and genetic characteristics associated with bovine tuberculosis.

bioRxiv · Dec 6, 2018Microbiology