Improved Resistance Prediction in Mycobacterium tuberculosis by Better Handling of Insertions and Deletions, Premature Stop Codons, and Filtering of Non-informative Sites

Resistance in Mycobacterium tuberculosis is a major obstacle for effective treatment of tuberculosis. Multiple studies have shown promising results for predicting drug resistance in M. tuberculosis based on whole genome sequencing (WGS) data, however, these tools are often limited to this single spe...

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Detalles Bibliográficos
Autores principales: Johnsen, Camilla Hundahl, Clausen, Philip T. L. C., Aarestrup, Frank M., Lund, Ole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834686/
https://www.ncbi.nlm.nih.gov/pubmed/31736907
http://dx.doi.org/10.3389/fmicb.2019.02464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834686/
https://www.ncbi.nlm.nih.gov/pubmed/31736907
http://dx.doi.org/10.3389/fmicb.2019.02464

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