2018
DOI: 10.12688/f1000research.14509.2
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The challenges of designing a benchmark strategy for bioinformatics pipelines in the identification of antimicrobial resistance determinants using next generation sequencing technologies

Abstract: 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 challeng… Show more

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Cited by 37 publications
(29 citation statements)
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“…Analyzing genomic data to infer relationships between isolates is complex. Many variables affect the number of measured SNPs between patients, including species, sequence type, assembly quality, reference sequence selected (and relatedness to isolates being analyzed), number and diversity of isolates analyzed, time between samples, masking of recombination and/or phage elements, sequencing technology, tools employed, and SNP-calling parameters (49, 50). As such, the potential SNP “threshold” proposed by this study (pairwise SNPs below a certain number suggesting possible transmission; in this case, ≤23 SNPs) may only apply to our data set and workflows, and hence it is always important to interpret genomic data in parallel with local epidemiological data (5153).…”
Section: Discussionmentioning
confidence: 99%
“…Analyzing genomic data to infer relationships between isolates is complex. Many variables affect the number of measured SNPs between patients, including species, sequence type, assembly quality, reference sequence selected (and relatedness to isolates being analyzed), number and diversity of isolates analyzed, time between samples, masking of recombination and/or phage elements, sequencing technology, tools employed, and SNP-calling parameters (49, 50). As such, the potential SNP “threshold” proposed by this study (pairwise SNPs below a certain number suggesting possible transmission; in this case, ≤23 SNPs) may only apply to our data set and workflows, and hence it is always important to interpret genomic data in parallel with local epidemiological data (5153).…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, the presence of a gene does not necessarily prove its expression. That is the reason why in silico antibiogram is not widely used yet ( 178 ). However, this method is able to detect any gene related to β-lactamases whatever its homology or phenotype as well as undetected or totally novel β-lactamase family.…”
Section: Detection Methods For Rare Carbapenemasesmentioning
confidence: 99%
“…4Overview of the different steps involved in the use of NGS technologies for data gathering and utilization. After Angers-Loustau et al (2018), modified…”
Section: Discussionmentioning
confidence: 99%