Overcoming the pitfalls of automatic interpretation of whole genome sequencing data by online tools for the prediction of pyrazinamide resistance in Mycobacterium tuberculosis

OBJECTIVES: Automated online software tools that analyse whole genome sequencing (WGS) data without the need for bioinformatics expertise can motivate the implementation of WGS-based molecular drug susceptibility testing (DST) in routine diagnostic settings for tuberculosis (TB). Pyrazinamide (PZA)...

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Detalles Bibliográficos
Autores principales: Iwamoto, Tomotada, Murase, Yoshiro, Yoshida, Shiomi, Aono, Akio, Kuroda, Makoto, Sekizuka, Tsuyoshi, Yamashita, Akifumi, Kato, Kengo, Takii, Takemasa, Arikawa, Kentaro, Kato, Seiya, Mitarai, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394917/
https://www.ncbi.nlm.nih.gov/pubmed/30817803
http://dx.doi.org/10.1371/journal.pone.0212798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394917/
https://www.ncbi.nlm.nih.gov/pubmed/30817803
http://dx.doi.org/10.1371/journal.pone.0212798

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