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Philip William Fowler

University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital

Oxford, Oxfordshire, England

United Kingdom

University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, National Institute of Health Research Oxford Biomedical Research Centre

Oxford

United Kingdom

SCHOLARLY PAPERS

5

DOWNLOADS

734

TOTAL CITATIONS

9

Scholarly Papers (5)

1.

The 2021 WHO Catalogue of Mycobacterium Tuberculosis Complex Mutations Associated with Drug Resistance: A New Global Standard for Molecular Diagnostics

Number of pages: 29 Posted: 21 Sep 2021
University of Oxford - Nuffield Department of Medicine, Università Vita-Salute San Raffaele - IRCCS San Raffaele Scientific Institute, University of Cambridge - Department of Genetics, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford - Nuffield Department of Medicine, European Bioinformatics Institute (EMBL-EBI), University of Oxford - Nuffield Department of Medicine, Imperial College London, Harvard University - Harvard Medical School, Università Vita-Salute San Raffaele - IRCCS San Raffaele Scientific Institute, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER) - Tuberculosis Genomics Unit, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, National Health Laboratory Services (NHLS) - National Institute for Communicable Diseases, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Foundation for Innovative New Diagnostics (FIND), Foundation for Innovative New Diagnostics (FIND), Foundation for Innovative New Diagnostics (FIND), Foundation for Innovative New Diagnostics (FIND), World Health Organization (WHO) - Global Tuberculosis Programme, World Health Organization (WHO) - Global Tuberculosis Programme, University of Oxford - Nuffield Department of Medicine, Independent, Independent, University of Oxford - Nuffield Department of Medicine, World Health Organization (WHO) - Global Tuberculosis Programme and University of California, San Diego (UCSD)
Downloads 353 (212,334)
Citation 6

Abstract:

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Mycobacterium tuberculosis, drug resistance, whole genome sequencing, catalogue, World Health Organization

2.

A Systematic Evaluation of Automated Mycobacterium Tuberculosis Complex Whole Genome Sequencing Analysis Pipelines

Number of pages: 33 Posted: 23 Dec 2024
Hospital of Tropical Diseases - Oxford University Clinical Research Unit, University of Oxford, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, University of Oxford, University of Oxford - Infectious Diseases Data Observatory - IDDO and University of Oxford - Nuffield Department of Medicine
Downloads 192 (397,477)

Abstract:

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Tuberculosis, whole genome sequencing, Illumina, Nanopore, Bioinformatics pipelines, genotypic drug susceptibility testing, resistance prediction, lineage classification, genomic relatedness

3.

Transforming Tuberculosis Care: Rapid Accurate and Reliable Computer-Based Prediction of Drug Resistance to Guide Targeted Treatments

Number of pages: 30 Posted: 06 Mar 2025
University College London - Centre for Computational Science, University College London - Centre for Computational Science, University College London - Centre for Computational Science, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital and University College London - Centre for Computational Science
Downloads 132 (551,165)

Abstract:

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Drug resistance prediction, tuberculosis, computational biology, rifampicin resistance

4.

Prediction of Pyrazinamide Resistance in Mycobacterium Tuberculosis Using Structure-Based Machine Learning Approaches

Number of pages: 37 Posted: 22 May 2019
University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Stellenbosch University, Faculty of Medicine and Health Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, SAMRC Centre, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, University of Oxford - Nuffield Department of Medicine and University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital
Downloads 35 (1,263,436)
Citation 3

Abstract:

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tuberculosis, antimicrobial resistance, pyrazinamide, prediction, Machine Learning, protein structure, Mycobacterium tuberculosis

5.

Long-Read Sequencing of Mycobacterial Tuberculosis Is Comparable to Short-Read Sequencing for Antimicrobial Resistance Prediction and Epidemiological Studies

Number of pages: 30 Posted: 06 Jul 2026
University of Oxford, University of Oxford, University of Oxford, University of Oxford, Hospital of Tropical Diseases - Oxford University Clinical Research Unit, Hospital of Tropical Diseases - Oxford University Clinical Research Unit, University of Oxford, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford - Nuffield Department of Medicine, Hospital of Tropical Diseases - Oxford University Clinical Research Unit, University of Oxford, University of Oxford, University of Oxford, University of Oxford, University of Oxford, Nuffield Department of Medicine, John Radcliffe Hospital, Hospital of Tropical Diseases - Oxford University Clinical Research Unit, Hospital of Tropical Diseases - Oxford University Clinical Research Unit, National Health Laboratory Services (NHLS) - National Institute for Communicable Diseases and University of Oxford
Downloads 22

Abstract:

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Tuberculosis, oxford nanopore technologies, illumina, whole genome sequencing, gDST