Author

Hilary P. Browne

Wellcome Sanger InstituteORCID 0000-0002-1305-2470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

Trevor D. LawleyiD· 3 shared Yan ShaoiD· 2 shared Alejandra Escobar‐ZepedaiD· 1 shared Andrea C. MasiiD· 1 shared Andrew NelsoniD· 1 shared Andrew Porter· 1 shared B. Anne Neville· 1 shared Christopher Andrew LambiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersMicrobiology

Trevor D. LawleyORCID

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintJan 21, 2025

Human milk oligosaccharide metabolism by Clostridium species suppresses inflammation and pathogen growth

Jonathan A. Chapman, Andrea C. Masi, Lauren C. Beck…·Christopher James Stewart

The paper identifies Clostridium species that metabolize human milk oligosaccharides, producing beneficial metabolites and suppressing inflammation and pathogen growth in preterm infants.

11 citations

humanmetagenomics

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GenomicsbioRxivPreprintJan 18, 2022

In vitro demonstration of broad host range mobile genetic elements transferring antibiotic resistance from the human microbiome

Samuel C. Forster, Junyan Liu, Nitin Kumar…·Trevor D. Lawley

The paper demonstrates broad host range mobile genetic elements transferring antibiotic resistance from human gut commensals to enteropathogens.

DOI 10.1101/2022.01.18.476738

humanexperimental assay

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BioinformaticsbioRxivPreprintJul 8, 2019

CarboLogR: a Shiny/R application for statistical analysis of bacterial utilisation of carbon sources

Kévin Vervier, Hilary P. Browne, Trevor D. Lawley

CarboLogR is a Shiny/R tool that automates statistical analysis of bacterial carbon source utilization from Biolog assays, using chemoinformatics to cluster carbon sources.

8 citations

bacteria (other)metagenomics

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