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High Throughput Sequencing for Clinical Tuberculosis: An Overview
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,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695813/ https://www.ncbi.nlm.nih.gov/pubmed/36422596 http://dx.doi.org/10.3390/pathogens11111343 |
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author | Ness, Tara E. DiNardo, Andrew Farhat, Maha R. |
author_facet | Ness, Tara E. DiNardo, Andrew Farhat, Maha R. |
author_sort | Ness, Tara E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9695813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96958132022-11-26 High Throughput Sequencing for Clinical Tuberculosis: An Overview Ness, Tara E. DiNardo, Andrew Farhat, Maha R. Pathogens Review 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. MDPI 2022-11-14 /pmc/articles/PMC9695813/ /pubmed/36422596 http://dx.doi.org/10.3390/pathogens11111343 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ness, Tara E. DiNardo, Andrew Farhat, Maha R. High Throughput Sequencing for Clinical Tuberculosis: An Overview |
title | High Throughput Sequencing for Clinical Tuberculosis: An Overview |
title_full | High Throughput Sequencing for Clinical Tuberculosis: An Overview |
title_fullStr | High Throughput Sequencing for Clinical Tuberculosis: An Overview |
title_full_unstemmed | High Throughput Sequencing for Clinical Tuberculosis: An Overview |
title_short | High Throughput Sequencing for Clinical Tuberculosis: An Overview |
title_sort | high throughput sequencing for clinical tuberculosis: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695813/ https://www.ncbi.nlm.nih.gov/pubmed/36422596 http://dx.doi.org/10.3390/pathogens11111343 |
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