Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Henrik Hasman"'
Autor:
Frank Møller Aarestrup, Dhany Saputra, Niels Frimodt-Møller, Christina Aaby Svendsen, Ole Lund, Thomas Sicheritz-Pontén, Henrik Hasman
Publikováno v:
Journal of Clinical Microbiology. 52:139-146
Whole-genome sequencing (WGS) is becoming available as a routine tool for clinical microbiology. If applied directly on clinical samples, this could further reduce diagnostic times and thereby improve control and treatment. A major bottleneck is the
Autor:
Mette Voldby Larsen, Ole Lund, Simon Rasmussen, Rasmus L. Marvig, Carsten Friis, Salvatore Cosentino, Henrik Hasman, David W. Ussery, Thomas Sicheritz-Pontén, Lars Jelsbak, Frank Møller Aarestrup
Publikováno v:
Journal of Clinical Microbiology. 50:1355-1361
Accurate strain identification is essential for anyone working with bacteria. For many species, multilocus sequence typing (MLST) is considered the “gold standard” of typing, but it is traditionally performed in an expensive and time-consuming ma
Autor:
Johanne Ahrenfeldt, Frank Møller Aarestrup, Carina Skaarup, Anders Gorm Pedersen, Henrik Hasman, Ole Lund
Publikováno v:
Ahrenfeldt, J, Skaarup, C, Hasman, H, Pedersen, A G, Aarestrup, F M & Lund, O 2017, ' Bacterial whole genome-based phylogeny: construction of a new benchmarking dataset and assessment of some existing methods ', BMC Genomics, vol. 18, 19 . https://doi.org/10.1186/s12864-016-3407-6
BMC Genomics
Ahrenfeldt, J, Skaarup, C, Hasman, H, Pedersen, A G, Aarestrup, F M & Lund, O 2017, ' Bacterial whole genome-based phylogeny : Construction of a new benchmarking dataset and assessment of some existing methods ', BMC Genomics, vol. 18, no. 1, 19 . https://doi.org/10.1186/s12864-016-3407-6
BMC Genomics
Ahrenfeldt, J, Skaarup, C, Hasman, H, Pedersen, A G, Aarestrup, F M & Lund, O 2017, ' Bacterial whole genome-based phylogeny : Construction of a new benchmarking dataset and assessment of some existing methods ', BMC Genomics, vol. 18, no. 1, 19 . https://doi.org/10.1186/s12864-016-3407-6
Background Whole genome sequencing (WGS) is increasingly used in diagnostics and surveillance of infectious diseases. A major application for WGS is to use the data for identifying outbreak clusters, and there is therefore a need for methods that can