Tuberculosis - Infectious Diseases PHGKB -

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Tuberculosis

- Infectious Diseases PHGKB -

What's New

Last Posted: Oct 03, 2019

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• Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data 
  Deelder W, et al. Front Genet, Sep 26, 2019.
• Resolving a clinical tuberculosis outbreak using palaeogenomic genome reconstruction methodologies. 
  Jones Rhys et al. Tuberculosis (Edinburgh, Scotland) 2019 Sep 101865
• Targeted Sequencing Workflows for Comprehensive Drug Resistance Profiling of Mycobacterium tuberculosis cultures using Illumina MiSeq and Nanopore MinION: Comparison of analytical and diagnostic performance, turnaround time and cost 
  Tafess K, bioRxiv, Sep 8, 2019.
• Tuberculosis drug discovery in the CRISPR era. 
  Rock Jeremy et al. PLoS pathogens 2019 Sep (9) e1007975
• A novel Ancestral Beijing sublineage of Mycobacterium tuberculosis suggests the transition site to Modern Beijing sublineages. 
  Ajawatanawong Pravech et al. Scientific reports 2019 Sep (1) 13718
• Comparing QuantiFERON-TB Gold Plus with other tests to diagnose Mycobacterium tuberculosis infection. 
  Venkatappa Thara K et al. Journal of clinical microbiology 2019 Aug
• The molecular clock of Mycobacterium tuberculosis. 
  Menardo Fabrizio et al. PLoS pathogens 2019 Sep (9) e1008067
• Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex. 
  Chiner-Oms Á et al. Science advances 2019 Jun (6) eaaw3307
• Distinct serum biosignatures are associated with different tuberculosis treatment outcomes. 
  Ronacher Katharina et al. Tuberculosis (Edinburgh, Scotland) 2019 Aug 101859
• Extensive global movement of multidrug-resistant M. tuberculosis strains revealed by whole-genome analysis. 
  Cohen Keira A et al. Thorax 2019 Sep (9) 882-889