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Graph-based Nanopore Adaptive Sampling with GNASTy enables sensitive pneumococcal serotyping in complex samples
View ORCID ProfileSamuel T. Horsfield, View ORCID ProfileBasil Fok, View ORCID ProfileYuhan Fu, View ORCID ProfilePaul Turner, View ORCID ProfileJohn A. Lees, View ORCID ProfileNicholas J. Croucher
doi: https://doi.org/10.1101/2024.02.11.579857
Samuel T. Horsfield
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, W12 0BZ, UK
2European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
Basil Fok
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, W12 0BZ, UK
Yuhan Fu
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, W12 0BZ, UK
Paul Turner
3Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, OX3 7LG, UK
John A. Lees
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, W12 0BZ, UK
2European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
Nicholas J. Croucher
1MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, W12 0BZ, UK
Posted February 12, 2024.
Graph-based Nanopore Adaptive Sampling with GNASTy enables sensitive pneumococcal serotyping in complex samples
Samuel T. Horsfield, Basil Fok, Yuhan Fu, Paul Turner, John A. Lees, Nicholas J. Croucher
bioRxiv 2024.02.11.579857; doi: https://doi.org/10.1101/2024.02.11.579857
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