Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (24)

« Back to Publications

Dissemination and persistence of antimicrobial resistance (AMR) along the wastewater-river continuum

Read DS. et al, (2024), Water Research, 264, 122204 - 122204

Improving the representativeness of UK’s national COVID-19 Infection Survey through spatio-temporal regression and post-stratification

Pouwels KB. et al, (2024), Nature Communications, 15

Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach

Barilar I. et al, (2024), Nature Communications, 15

Clinical Metagenomic Sequencing for Species Identification and Antimicrobial Resistance Prediction in Orthopedic Device Infection

Street TL. et al, (2022), Journal of Clinical Microbiology, 60

Quantitative SARS-CoV-2 anti-spike responses to Pfizer–BioNTech and Oxford–AstraZeneca vaccines by previous infection status

Eyre DW. et al, (2021), Clinical Microbiology and Infection, 27, 1516.e7 - 1516.e14

Genomic network analysis of environmental and livestock F-type plasmid populations

Matlock W. et al, (2021), The ISME Journal, 15, 2322 - 2335

ntibody responses to SARS-CoV-2 vaccines in 45,965 adults from the general population of the United Kingdom

Wei J. et al, (2021), Nature Microbiology, 6, 1140 - 1149

GenomegaMap: Within-Species Genome-Wide dN/dS Estimation from over 10,000 Genomes

Wilson DJ. et al, (2020), Molecular Biology and Evolution, 37, 2450 - 2460

The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples

Gweon HS. et al, (2019), Environmental Microbiome, 14

Comparison of long-read sequencing technologies in the hybrid assembly of complex bacterial genomes

De Maio N. et al, (2019), Microbial Genomics, 5

pplication of machine learning techniques to tuberculosis drug resistance analysis

Kouchaki S. et al, (2019), Bioinformatics, 35, 2276 - 2282

Scalable Pathogen Pipeline Platform (SP^3): Enabling Unified Genomic Data Analysis with Elastic Cloud Computing

Yang-Turner F. et al, (2019), 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 478 - 480

Corrigendum: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis

Fowler PW. et al, (2019), Microbiology, 165, 585 - 585

Prevalence of and risk factors for tuberculosis among healthcare workers in Chinese tuberculosis facilities

Wang X-N. et al, (2018), Infectious Diseases of Poverty, 7

mated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis

Fowler PW. et al, (2018), Microbiology, 164, 1522 - 1530

Load More