Author

Lele Zhao

University of OxfordORCID 0000-0002-2807-1914Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Research Focus:variant calling· 2 Organism:virus· 2 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Katrina LythgoeiD· 3 shared Matthew D. HalliD· 3 shared David BonsalliD· 2 shared Steven A. KempiD· 2 shared Tanya GolubchikiD· 2 shared Ann Sarah WalkeriD· 1 shared Chris WymantiD· 1 shared Christophe FraseriD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenomics

Katrina LythgoeORCID

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3 papers

Recent·Most cited

Identification and Masking of Artefactual and Misleading Within-Host Variants in Deep-Sequencing SARS-CoV-2 Data

Klara M. Anker, Rosario Evans Pena, Steven A. Kemp, Joseph Clarke, Lele Zhao, David Bonsall, Nicholas E. Grayson, Matthew Bashton, Ann Sarah Walker, Tanya Golubchik, Matthew Hall, Katrina Lythgoe

The paper identifies and masks artefactual variants in SARS-CoV-2 sequencing data to improve the accuracy of within-host diversity and transmission analysis.

Molecular Biology and Evolution · Aug 17, 2026Peer-reviewedGenomics

Lineage-aware evolutionary analysis of hepatitis C virus within-host dynamics

Lele Zhao, Matthew Hall, Prahalad Giridhar, Mahan Ghafari, Steven A. Kemp, Haiting Chai, Paul Klenerman, Eleanor J. Barnes, M. Azim Ansari, Katrina Lythgoe

This study analyzes HCV within-host dynamics post-DAA treatment failure, finding persistent viral subpopulations and lineage-specific evolutionary rates.

PLoS Pathogens · Apr 1, 2025Peer-reviewedEvolutionary Biology

Directional predictions of HIV transmission with optimised genomics in cohorts of serodiscordant couples

Lele Zhao, Matthew D. Hall, Chris Wymant, Lucie Abeler‐Dörner, Newton Otieno Otecko, George MacIntyre-Cockett, Sandra E Chaudron, Laura Thomson, Tanya Golubchik, Jairam R. Lingappa, Luca Ferretti A, Katrina Lythgoe, Christophe Fraser, Joshua T. Herbeck, David Bonsall

The paper evaluates two tools for HIV transmission direction prediction using short and long-read sequencing data from serodiscordant couples, showing long reads improve phylogenetic resolution and transmission prediction accuracy.

bioRxiv · Oct 19, 2023 · PreprintGenomics