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Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs.

Jody E PhelanDenise M O'SullivanDiana MachadoJorge RamosYaa E A OppongSusana CampinoJustin O'GradyRuth McNerneyMartin L HibberdMiguel ViveirosJim F HuggettTaane Gregory Clark
Published in: Genome medicine (2019)
The new version of TBProfiler can rapidly and accurately predict anti-TB drug resistance profiles across large numbers of samples with WGS data. The computing architecture allows for the ability to modify the core bioinformatic pipelines and outputs, including the analysis of WGS data sourced from portable technologies. TBProfiler has the potential to be integrated into the point of care and WGS diagnostic environments, including in resource-poor settings.
Keyphrases
  • electronic health record
  • big data
  • mycobacterium tuberculosis
  • machine learning
  • data analysis
  • psychometric properties