Author

Sunetra Gupta

University of OxfordORCID 0000-0002-9775-4006Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

José LourençoiD· 4 shared Uri ObolskiiD· 2 shared Andrea GoriiD· 1 shared Anna L. McNaughtoniD· 1 shared Caitlin PleyiD· 1 shared Craig ThompsoniD· 1 shared Damer P. BlakeiD· 1 shared Dirk Udo PfeifferiD· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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4 shared papersGenomics

José LourençoORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Characteristics of epitopes of limited variability on the head of influenza H1 haemagglutinin

José Lourenço, Hany S. Zinad, James Kempton, Sunetra Gupta

The paper shows that epitopes of limited variability on the head of H1 haemagglutinin are determined by the number of variable residues in their footprint, not intrinsic entropy.

bioRxiv · Apr 30, 2024 · PreprintGenomics

EPINEST, an agent-based model to simulate epidemic dynamics in large-scale poultry production and distribution networks

Francesco Pinotti, José Lourenço, Sunetra Gupta, Suman Das Gupta, Joerg Henning, Damer P. Blake, Fiona M. Tomley, Tony Barnett, Dirk Udo Pfeiffer, Md. Ahasanul Hoque, Guillaume Fournié

EPINEST simulates epidemic dynamics in poultry production networks to study pathogen transmission and health hazards.

PLoS Computational Biology · Feb 21, 2024Peer-reviewedBioinformatics

Polymorphisms Predicting Phylogeny in Hepatitis B Virus (HBV)

José Lourenço, Anna L. McNaughton, Caitlin Pley, Uri Obolski, Sunetra Gupta, Philippa Clare Matthews

This study uses random forest analysis to identify amino acid sites in HBV genome that predict genotype, finding 10 key sites across four genes with implications for HBV evolution and spacer domain function.

Virus Evolution · Dec 10, 2022Peer-reviewedGenomics

Identifying Streptococcus pneumoniae genes associated with invasive disease using pangenome-based whole genome sequence typing

Uri Obolski, Andrea Gori, José Lourenço, Craig Thompson, Robin N. Thompson, Neil French, Robert S. Heyderman, Sunetra Gupta

This study identifies 43 genes associated with invasive pneumococcal disease using whole genome sequence data and a random forest machine-learning algorithm across three geographically distinct datasets.

Scientific Reports · Mar 11, 2019Peer-reviewedBioinformatics