Author

Do D. A. Thu

Oxford University Clinical Research Unit

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. N. HalliD· 1 shared Catriona S BakeriD· 1 shared Derrick W. CrookiD· 1 shared Eloïse RoghiiD· 1 shared Hanh Nguyen HongiD· 1 shared Hermione J. WebsteriD· 1 shared Hong Thi Cam ThaiiD· 1 shared Jeremy WestheadiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

A. N. HallORCID

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1 paper

Recent·Most cited

Long-read sequencing of Mycobacterial tuberculosis is comparable to short-read sequencing for antimicrobial resistance prediction and epidemiological studies.

Matthew Colpus, Catriona S Baker, Eloïse Roghi, Hanh Nguyen Hong, Phu Phan Trieu, Do D. A. Thu, A. N. Hall, Philip William Fowler, Timothy M Walker, Ruan Spies, Hermione J. Webster, Jeremy Westhead, Hong Thi Cam Thai, Robert Turner, Tim Peto, , Derrick W. Crook

This study compares long-read and short-read sequencing for tuberculosis drug resistance and outbreak analysis, finding they are comparable with minimal differences in key clinical outputs.

bioRxiv · Apr 8, 2026 · PreprintMicrobiology