Author

Oliver Lorenz

Queen's University BelfastORCID 0000-0002-3018-4336Unclaimed ORCID profile · follow to get notified of new preprints

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Oliver Lorenz1 paper · Wellcome Sanger Institute

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Stephanie W. LoiD· 2 shared Stephen D. BentleyiD· 2 shared Alannah C. KingiD· 1 shared Alireza TajmirriahiiD· 1 shared Anne L. WyllieiD· 1 shared Catherine SatzkeiD· 1 shared Feroze GanaieiD· 1 shared Hans‐Christian SlotvediD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Stephanie W. LoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 20, 2026

ALLCAPS: a scalable and accurate deep-learning method for in silico pneumococcal serotyping

Alireza Tajmirriahi, Teodora Mateeva, Matthew Russell…·Samuel Horsfield

ALLCAPS is a deep-learning tool for in silico pneumococcal serotyping that outperforms existing methods and identifies novel serotypes.

DOI 10.64898/2026.10.14.759107

whole-genome sequencingdeep learning

BioinformaticsMicrobial GenomicsPeer-reviewedOct 17, 2025

SeroBA(v2.0) and SeroBAnk: a robust genome-based serotyping scheme and comprehensive atlas of capsular diversity in Streptococcus pneumoniae

Oliver Lorenz, Alannah C. King, Harry C. H. Hung…·Stephanie W. Lo

This paper introduces SeroBA(v2.0), a tool for pneumococcal serotyping, and SeroBAnk, a resource for capsular diversity, which accurately identifies 102 serotypes and supports community contributions for updates.

6 citations

whole-genome sequencingstatistical model