The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies

Next-Generation Sequencing (NGS) technologies are expected to play a crucial role in the surveillance of infectious diseases, with their unprecedented capabilities for the characterisation of genetic information underlying the virulence and antimicrobial resistance (AMR) properties of microorganisms...

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Main Authors: Angers-Loustau, Alexandre, Petrillo, Mauro, Bengtsson-Palme, Johan, Berendonk, Thomas, Blais, Burton, Chan, Kok Gan, Coque, Teresa M., Hammer, Paul, Heß, Stefanie, Kagkli, Dafni M., Krumbiegel, Carsten, Lanza, Val F., Madec, Jean-Yves, Naas, Thierry, O'Grady, Justin, Paracchini, Valentina, Rossen, John W.A., Ruppé, Etienne, Vamathevan, Jessica, Venturi, Vittorio, Van den Eede, Guy
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Published: F1000 Research Ltd 2018
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Online Access:http://eprints.um.edu.my/22472/
https://doi.org/10.12688/f1000research.14509.2
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Institution: Universiti Malaya
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spelling my.um.eprints.224722019-09-20T04:00:49Z http://eprints.um.edu.my/22472/ The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies Angers-Loustau, Alexandre Petrillo, Mauro Bengtsson-Palme, Johan Berendonk, Thomas Blais, Burton Chan, Kok Gan Coque, Teresa M. Hammer, Paul Heß, Stefanie Kagkli, Dafni M. Krumbiegel, Carsten Lanza, Val F. Madec, Jean-Yves Naas, Thierry O'Grady, Justin Paracchini, Valentina Rossen, John W.A. Ruppé, Etienne Vamathevan, Jessica Venturi, Vittorio Van den Eede, Guy Q Science (General) QH Natural history Next-Generation Sequencing (NGS) technologies are expected to play a crucial role in the surveillance of infectious diseases, with their unprecedented capabilities for the characterisation of genetic information underlying the virulence and antimicrobial resistance (AMR) properties of microorganisms. In the implementation of any novel technology for regulatory purposes, important considerations such as harmonisation, validation and quality assurance need to be addressed. NGS technologies pose unique challenges in these regards, in part due to their reliance on bioinformatics for the processing and proper interpretation of the data produced. Well-designed benchmark resources are thus needed to evaluate, validate and ensure continued quality control over the bioinformatics component of the process. This concept was explored as part of a workshop on "Next-generation sequencing technologies and antimicrobial resistance" held October 4-5 2017. Challenges involved in the development of such a benchmark resource, with a specific focus on identifying the molecular determinants of AMR, were identified. For each of the challenges, sets of unsolved questions that will need to be tackled for them to be properly addressed were compiled. These take into consideration the requirement for monitoring of AMR bacteria in humans, animals, food and the environment, which is aligned with the principles of a “One Health” approach. F1000 Research Ltd 2018 Article PeerReviewed Angers-Loustau, Alexandre and Petrillo, Mauro and Bengtsson-Palme, Johan and Berendonk, Thomas and Blais, Burton and Chan, Kok Gan and Coque, Teresa M. and Hammer, Paul and Heß, Stefanie and Kagkli, Dafni M. and Krumbiegel, Carsten and Lanza, Val F. and Madec, Jean-Yves and Naas, Thierry and O'Grady, Justin and Paracchini, Valentina and Rossen, John W.A. and Ruppé, Etienne and Vamathevan, Jessica and Venturi, Vittorio and Van den Eede, Guy (2018) The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies. F1000Research, 7. p. 459. ISSN 2046-1402 https://doi.org/10.12688/f1000research.14509.2 doi:10.12688/f1000research.14509.2
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
QH Natural history
spellingShingle Q Science (General)
QH Natural history
Angers-Loustau, Alexandre
Petrillo, Mauro
Bengtsson-Palme, Johan
Berendonk, Thomas
Blais, Burton
Chan, Kok Gan
Coque, Teresa M.
Hammer, Paul
Heß, Stefanie
Kagkli, Dafni M.
Krumbiegel, Carsten
Lanza, Val F.
Madec, Jean-Yves
Naas, Thierry
O'Grady, Justin
Paracchini, Valentina
Rossen, John W.A.
Ruppé, Etienne
Vamathevan, Jessica
Venturi, Vittorio
Van den Eede, Guy
The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
description Next-Generation Sequencing (NGS) technologies are expected to play a crucial role in the surveillance of infectious diseases, with their unprecedented capabilities for the characterisation of genetic information underlying the virulence and antimicrobial resistance (AMR) properties of microorganisms. In the implementation of any novel technology for regulatory purposes, important considerations such as harmonisation, validation and quality assurance need to be addressed. NGS technologies pose unique challenges in these regards, in part due to their reliance on bioinformatics for the processing and proper interpretation of the data produced. Well-designed benchmark resources are thus needed to evaluate, validate and ensure continued quality control over the bioinformatics component of the process. This concept was explored as part of a workshop on "Next-generation sequencing technologies and antimicrobial resistance" held October 4-5 2017. Challenges involved in the development of such a benchmark resource, with a specific focus on identifying the molecular determinants of AMR, were identified. For each of the challenges, sets of unsolved questions that will need to be tackled for them to be properly addressed were compiled. These take into consideration the requirement for monitoring of AMR bacteria in humans, animals, food and the environment, which is aligned with the principles of a “One Health” approach.
format Article
author Angers-Loustau, Alexandre
Petrillo, Mauro
Bengtsson-Palme, Johan
Berendonk, Thomas
Blais, Burton
Chan, Kok Gan
Coque, Teresa M.
Hammer, Paul
Heß, Stefanie
Kagkli, Dafni M.
Krumbiegel, Carsten
Lanza, Val F.
Madec, Jean-Yves
Naas, Thierry
O'Grady, Justin
Paracchini, Valentina
Rossen, John W.A.
Ruppé, Etienne
Vamathevan, Jessica
Venturi, Vittorio
Van den Eede, Guy
author_facet Angers-Loustau, Alexandre
Petrillo, Mauro
Bengtsson-Palme, Johan
Berendonk, Thomas
Blais, Burton
Chan, Kok Gan
Coque, Teresa M.
Hammer, Paul
Heß, Stefanie
Kagkli, Dafni M.
Krumbiegel, Carsten
Lanza, Val F.
Madec, Jean-Yves
Naas, Thierry
O'Grady, Justin
Paracchini, Valentina
Rossen, John W.A.
Ruppé, Etienne
Vamathevan, Jessica
Venturi, Vittorio
Van den Eede, Guy
author_sort Angers-Loustau, Alexandre
title The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
title_short The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
title_full The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
title_fullStr The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
title_full_unstemmed The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
title_sort challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies
publisher F1000 Research Ltd
publishDate 2018
url http://eprints.um.edu.my/22472/
https://doi.org/10.12688/f1000research.14509.2
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