descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 14 Nov 2022 English Publisher:MDPI AGJournal:Pathogens, volume 11, page 1,343 (eissn: 2076-0817,

Authors: Tara E. Ness; Andrew DiNardo; Maha R. Farhat;

doi: 10.3390/pathogens11111343

pmid: 36422596

pmc: PMC9695813

High Throughput Sequencing for Clinical Tuberculosis: An Overview

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

High throughput sequencing (HTS) can identify the presence of Mycobacterium tuberculosis DNA in a clinical sample while also providing information on drug susceptibility. Multiple studies have provided a context for exploring the clinical application of HTS for TB diagnosis. The workflow challenges, strengths and limitations of the various sequencing platforms, and tools used for analysis are presented to provide a framework for further innovations in the field.

Related Organizations

Baylor College of Medicine
United States
Texas Children's Hospital
United States

Keywords

next generation sequencing, tuberculosis, R, Medicine, sequencing, Review, <i>Mycobacterium tuberculosis</i>, high throughput sequencing

1 Research products, page 1 of 1

vSNP software on GitHub
IsRelatedTo

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%