Author

G. Smith

University of California, Los Angeles

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· 12 Immunology· 10 Pharmacology & Toxicology· 3 Ecology· 2 Physiology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 27 Research Focus:host-pathogen & immune response· 18 Organism:mouse· 12 Research Focus:drug response / drug discovery· 9 Organism:human· 8 Assay:proteomics· 8 Approach:statistical model· 6 Research Focus:cell type annotation· 5

Frequent Co-Authors

N. Patel· 9 shared G. Glenn· 7 shared J.-H. Tian· 7 shared M. Guebre-Xabier· 6 shared M. J. Massare· 6 shared A. D. Portnoff· 5 shared B. Zhou· 5 shared S. Maciejewski· 5 shared

Activity by Year

2018-2025 · peak 10/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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9 shared papersImmunology

N. Patel

Mutual co-authors in cluster

Author profile →

33 papers

Recent·Most cited

A quantitative evaluation of MIRU-VNTR typing against whole-genome sequencing for identifying Mycobacterium tuberculosis transmission: A prospective observational cohort study

D. Wyllie, J. Davidson, T. Walker, P. Rathod, T. Peto, E. Robinson, D. W. Crook, G. Smith, C. Campbell

This study evaluates MIRU-VNTR typing against whole-genome sequencing to identify Mycobacterium tuberculosis transmission, finding low predictive value of MIRU-VNTR and lineage-specific performance.

bioRxiv · Jan 24, 2018Microbiology

Control of artefactual variation in reported inter-sample relatedness during clinical use of a Mycobacterium tuberculosis sequencing pipeline

D. Wyllie, N. D. Sanderson, R. Myers, T. E. Peto, E. Robinson, D. W. Crook, G. Smith, A. S. Walker

The paper identifies genomic regions in Mycobacterium tuberculosis that contribute to artefactual variation in bacterial similarity searches and proposes a method to reduce such variation.

bioRxiv · Jan 23, 2018Microbiology

A novel multi SNP based method for the identification of subspecies and associated lineages and sub-lineages of the Mycobacterium tuberculosis complex by whole genome sequencing

S. I. W. Lipworth, R. Jajou, H. de Neeling, P. Bradley, W. van der Hoek, G. Maphalala, M. Bonnet, E. Sanchez-Padilla, R. Diel, S. Niemann, Z. Iqbal, G. Smith, T. Peto, D. Crook, T. M. Walker, D. van Soolingen

This paper introduces SNP-IT, a method using whole genome sequencing to identify subspecies and lineages of Mycobacterium tuberculosis complex, revealing high prevalence of M. orygis in UK clinical isolates.

bioRxiv · Jan 5, 2018Microbiology