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The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible

Whole-genome sequencing (WGS) is a powerful method for detecting drug resistance, genetic diversity, and transmission dynamics of Mycobacterium tuberculosis. Implementation of WGS in public health microbiology laboratories is impeded by a lack of user-friendly, automated, and semiautomated pipelines...

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Autores principales: van Heusden, Peter, Mashologu, Ziphozakhe, Lose, Thoba, Warren, Robin, Christoffels, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827006/
https://www.ncbi.nlm.nih.gov/pubmed/35138128
http://dx.doi.org/10.1128/msphere.00991-21
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author van Heusden, Peter
Mashologu, Ziphozakhe
Lose, Thoba
Warren, Robin
Christoffels, Alan
author_facet van Heusden, Peter
Mashologu, Ziphozakhe
Lose, Thoba
Warren, Robin
Christoffels, Alan
author_sort van Heusden, Peter
collection PubMed
description Whole-genome sequencing (WGS) is a powerful method for detecting drug resistance, genetic diversity, and transmission dynamics of Mycobacterium tuberculosis. Implementation of WGS in public health microbiology laboratories is impeded by a lack of user-friendly, automated, and semiautomated pipelines. We present the COMBAT-TB Workbench, a modular, easy-to-install application that provides a web-based environment for Mycobacterium tuberculosis bioinformatics. The COMBAT-TB Workbench is built using two main software components: the IRIDA platform for its web-based user interface and data management capabilities and the Galaxy bioinformatics workflow platform for workflow execution. These components are combined into a single easy-to-install application using Docker container technology. We implemented two workflows, for M. tuberculosis sample analysis and phylogeny, in Galaxy. Building our workflows involved updating some Galaxy tools (Trimmomatic, snippy, and snp-sites) and writing new Galaxy tools (snp-dists, TB-Profiler, tb_variant_filter, and TB Variant Report). The irida-wf-ga2xml tool was updated to be able to work with recent versions of Galaxy and was further developed into IRIDA plugins for both workflows. In the case of the M. tuberculosis sample analysis, an interface was added to update the metadata stored for each sequence sample with results gleaned from the Galaxy workflow output. Data can be loaded into the COMBAT-TB Workbench via the web interface or via the command line IRIDA uploader tool. The COMBAT-TB Workbench application deploys IRIDA, the COMBAT-TB IRIDA plugins, the MariaDB database, and Galaxy using Docker containers (https://github.com/COMBAT-TB/irida-galaxy-deploy). IMPORTANCE While the reduction in the cost of WGS is making sequencing more affordable in lower- and middle-income countries (LMICs), public health laboratories in these countries seldom have access to bioinformaticians and system support engineers adept at using the Linux command line and complex bioinformatics software. The COMBAT-TB Workbench provides an open-source, modular, easy-to-deploy and -use environment for managing and analyzing M. tuberculosis WGS data and thereby makes WGS usable in practice in the LMIC context.
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spelling pubmed-88270062022-02-17 The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible van Heusden, Peter Mashologu, Ziphozakhe Lose, Thoba Warren, Robin Christoffels, Alan mSphere Resource Report Whole-genome sequencing (WGS) is a powerful method for detecting drug resistance, genetic diversity, and transmission dynamics of Mycobacterium tuberculosis. Implementation of WGS in public health microbiology laboratories is impeded by a lack of user-friendly, automated, and semiautomated pipelines. We present the COMBAT-TB Workbench, a modular, easy-to-install application that provides a web-based environment for Mycobacterium tuberculosis bioinformatics. The COMBAT-TB Workbench is built using two main software components: the IRIDA platform for its web-based user interface and data management capabilities and the Galaxy bioinformatics workflow platform for workflow execution. These components are combined into a single easy-to-install application using Docker container technology. We implemented two workflows, for M. tuberculosis sample analysis and phylogeny, in Galaxy. Building our workflows involved updating some Galaxy tools (Trimmomatic, snippy, and snp-sites) and writing new Galaxy tools (snp-dists, TB-Profiler, tb_variant_filter, and TB Variant Report). The irida-wf-ga2xml tool was updated to be able to work with recent versions of Galaxy and was further developed into IRIDA plugins for both workflows. In the case of the M. tuberculosis sample analysis, an interface was added to update the metadata stored for each sequence sample with results gleaned from the Galaxy workflow output. Data can be loaded into the COMBAT-TB Workbench via the web interface or via the command line IRIDA uploader tool. The COMBAT-TB Workbench application deploys IRIDA, the COMBAT-TB IRIDA plugins, the MariaDB database, and Galaxy using Docker containers (https://github.com/COMBAT-TB/irida-galaxy-deploy). IMPORTANCE While the reduction in the cost of WGS is making sequencing more affordable in lower- and middle-income countries (LMICs), public health laboratories in these countries seldom have access to bioinformaticians and system support engineers adept at using the Linux command line and complex bioinformatics software. The COMBAT-TB Workbench provides an open-source, modular, easy-to-deploy and -use environment for managing and analyzing M. tuberculosis WGS data and thereby makes WGS usable in practice in the LMIC context. American Society for Microbiology 2022-02-09 /pmc/articles/PMC8827006/ /pubmed/35138128 http://dx.doi.org/10.1128/msphere.00991-21 Text en Copyright © 2022 van Heusden et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Resource Report
van Heusden, Peter
Mashologu, Ziphozakhe
Lose, Thoba
Warren, Robin
Christoffels, Alan
The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible
title The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible
title_full The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible
title_fullStr The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible
title_full_unstemmed The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible
title_short The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible
title_sort combat-tb workbench: making powerful mycobacterium tuberculosis bioinformatics accessible
topic Resource Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827006/
https://www.ncbi.nlm.nih.gov/pubmed/35138128
http://dx.doi.org/10.1128/msphere.00991-21
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